diff --git a/appabuild/cli/lca.py b/appabuild/cli/lca.py
index cf62506..610ed3d 100644
--- a/appabuild/cli/lca.py
+++ b/appabuild/cli/lca.py
@@ -32,17 +32,18 @@ def build(
     An AppaBuild environment is initialized (background and foreground databases), unless --no-init is specified.
 
     """
-    try:
-        foreground_database = None
-        if init:
-            if not appabuild_config_path:
-                logger.error(
-                    "AppaBuild configuration file and LCA config file are required for initialization",
-                    exc_info=True,
-                )
-                raise ValueError()
-            foreground_database = setup.initialize(appabuild_config_path)
+    # try:
+    foreground_database = None
+    if init:
+        if not appabuild_config_path:
+            logger.error(
+                "AppaBuild configuration file and LCA config file are required for initialization",
+                exc_info=True,
+            )
+            raise ValueError()
+        foreground_database = setup.initialize(appabuild_config_path)
 
+    try:
         setup.build(lca_config_path, foreground_database)
     except (ValueError, ValidationError, BwDatabaseError):
         sys.exit(1)
diff --git a/appabuild/config/appa_lca.py b/appabuild/config/appa_lca.py
index 16cc4c8..aa49a4d 100644
--- a/appabuild/config/appa_lca.py
+++ b/appabuild/config/appa_lca.py
@@ -5,7 +5,7 @@
 from __future__ import annotations
 
 import os
-from typing import Dict
+from typing import Dict, Optional, Union
 
 import yaml
 from pydantic import BaseModel, ValidationError, field_validator
@@ -14,7 +14,17 @@
 from appabuild.logger import log_validation_error, logger
 
 
-class DatabaseConfig(BaseModel):
+class DatabasesConfig(BaseModel):
+    foreground: ForegroundDatabaseConfig
+    ecoinvent: Optional[EcoInventDatabaseConfig] = None
+
+
+class EcoInventDatabaseConfig(BaseModel):
+    version: str
+    system_model: str
+
+
+class ForegroundDatabaseConfig(BaseModel):
     """
     Database entry in an Appa LCA configuration.
 
@@ -45,7 +55,8 @@ class AppaLCAConfig(BaseModel):
     """
 
     project_name: str
-    databases: Dict[str, DatabaseConfig]
+    replace_bg: Optional[bool] = False
+    databases: DatabasesConfig
 
     @field_validator("databases", mode="before")
     @classmethod
diff --git a/appabuild/database/bw_databases.py b/appabuild/database/bw_databases.py
index 5e5466e..150e6e0 100644
--- a/appabuild/database/bw_databases.py
+++ b/appabuild/database/bw_databases.py
@@ -7,11 +7,12 @@
 import re
 from typing import List, Optional, Union
 
-import brightway2 as bw
+import bw2data as bd
 from pydantic import BaseModel
 
 from appabuild.database.serialized_data import ActivityIdentifier
-from appabuild.exceptions import BwDatabaseError
+from appabuild.exceptions import BwDatabaseError, SerializedDataError
+from appabuild.logger import logger
 
 
 class BwDatabase(BaseModel):
@@ -27,7 +28,7 @@ def database(self):
         Brightway database object
         :return:
         """
-        return bw.Database(self.name)
+        return bd.Database(self.name)
 
     def search_activity(
         self, regexes: dict, must_find_only_one: Optional[bool] = False
@@ -48,14 +49,13 @@ def search_activity(
             )
         matching_activities = list(set.intersection(*map(set, matching_acts)))
         if must_find_only_one and len(matching_activities) < 1:
-            raise BwDatabaseError(
-                f"Cannot find any activity resolving the following regexes: {regexes}."
-            )
+            e = f"Cannot find any activity resolving the following regexes: {regexes}."
+            logger.exception(e)
+            raise BwDatabaseError(e)
         if must_find_only_one and len(matching_activities) > 1:
-            raise BwDatabaseError(
-                f"Too many activity matching the following regexes {regexes}. Matches "
-                f"are {matching_activities}."
-            )
+            e = f"Too many activity matching the following regexes {regexes}. Matches are {matching_activities}."
+            logger.exception(e)
+            raise BwDatabaseError(e)
         if must_find_only_one:
             return ActivityIdentifier(
                 database=matching_activities[0][0], uuid=matching_activities[0][1]
@@ -79,10 +79,9 @@ def resolve_activity_identifier(
         regexes = unresolved_activity_identifier.model_dump()
         database = regexes.pop("database")
         if database != self.name:
-            raise ValueError(
-                f"Cannot search activity on a different database ({database} != "
-                f"{self.name})."
-            )
+            e = f"Cannot search activity on a different database ({database} != {self.name})."
+            logger.exception(e)
+            raise SerializedDataError(e)
         activity_identifier = self.search_activity(
             regexes=regexes, must_find_only_one=True
         )
diff --git a/appabuild/database/databases.py b/appabuild/database/databases.py
index 95b94ec..0df0e76 100644
--- a/appabuild/database/databases.py
+++ b/appabuild/database/databases.py
@@ -5,12 +5,14 @@
 from __future__ import annotations
 
 import abc
+import csv
 import json
 import os
 import re
 from typing import Optional
 
-import brightway2 as bw
+import bw2data as bd
+import bw2io as bi
 import yaml
 from apparun.parameters import ImpactModelParams
 from lca_algebraic import resetParams, setForeground
@@ -23,21 +25,21 @@
 from appabuild.exceptions import BwDatabaseError, SerializedDataError
 from appabuild.logger import log_validation_error, logger
 
+PATH_TO_METHODS = "data/methods/ecoinvent_3.11_methods.csv"
+
 
 class Database:
     """
     Abstract class of a Database. Defines two mandatory methods for import.
     """
 
-    def __init__(self, name: str, path: Optional[str]):
+    def __init__(self, name: str):
         """
         Initializes a Database from its name and optionally its path.
         :param name: name of the database. Should be consistent with the name used in
         datasets.
-        :param path: path of the database on disk.
         """
         self.name = name
-        self.path = path
 
     def execute_at_startup(self) -> None:
         """
@@ -47,8 +49,6 @@ def execute_at_startup(self) -> None:
         :return:
         """
         resetParams(self.name)
-        if self.name not in bw.databases:
-            self.import_in_project()
 
     @abc.abstractmethod
     def import_in_project(self) -> None:
@@ -59,27 +59,6 @@ def import_in_project(self) -> None:
         return
 
 
-class BiosphereDatabase(Database):
-    """
-    Class to import biosphere3 database, which is the Brightway database containing all
-    biosphere flows. Biosphere flows are used to compute impacts thanks to
-    characterization factors. This class currently works only with EcoInvent 3.9.
-    """
-
-    def __init__(self):
-        Database.__init__(self, name="biosphere3", path=None)
-
-    def execute_at_startup(self) -> None:
-        resetParams(self.name)
-        self.import_in_project()
-
-    def import_in_project(self) -> None:
-        logger.info("Loading biosphere database...")
-        bw.bw2setup()
-        bw.add_ecoinvent_39_biosphere_flows()
-        logger.info("Biosphere database successfully loaded")
-
-
 class ImpactProxiesDatabase(Database):
     """
     Impact proxies are datasets used to generate impacts without communicating with
@@ -91,15 +70,22 @@ class ImpactProxiesDatabase(Database):
     "{bw_method_name}_technosphere_proxy".
     """
 
-    def __init__(self):
-        Database.__init__(self, name="impact_proxies", path=None)
+    def __init__(
+        self, biosphere_name: Optional[str] = None, replace: Optional[bool] = False
+    ):
+        Database.__init__(self, name="impact_proxies")
+        self.biosphere_name = (
+            biosphere_name if biosphere_name is not None else self.name
+        )
+        self.with_ecoinvent = biosphere_name is not None
+        self.replace = replace
 
     def execute_at_startup(self):
-        resetParams(self.name)
-        if self.name in bw.databases:
-            resetParams(self.name)
-            del bw.databases[self.name]
-        self.import_in_project()
+        super().execute_at_startup()
+        if self.name not in bd.databases or self.replace:
+            if self.name in bd.databases:
+                del bd.databases[self.name]
+            self.import_in_project()
 
     def import_in_project(self) -> None:
         """
@@ -113,18 +99,43 @@ def import_in_project(self) -> None:
         :return:
         """
         logger.info("Loading impact proxies...")
-        bw_database = bw.Database(self.name)
-        datasets = {}
-        for method in bw.methods:
-            datasets[self.name, f"{method}_proxy"] = {
-                "name": f"Impact proxy for {method}",
+        proxy_tech_database = bd.Database(self.name)
+        tech_datasets = {}
+        bio_datasets = {}
+        ei_bio_database = bd.Database(self.biosphere_name)
+
+        if not self.with_ecoinvent:
+            with open(PATH_TO_METHODS, newline="") as csvfile:
+                reader = csv.reader(csvfile, delimiter=";")
+                for row in reader:
+                    method, category, indicator, unit = row
+                    key = self.name, method, category, indicator
+                    # todo add all empty methods
+                    # key = self.name = tuple csv
+                    if key not in bd.methods:
+                        method = bd.Method(key)
+                        method.register(
+                            unit=unit,
+                            filepath=PATH_TO_METHODS,
+                            ecoinvent_version="3.11",
+                            database=self.name,
+                        )
+
+        for method in bd.methods:
+            bio_dataset = {
+                "name": f"Impact proxy for {method[1:]}",
                 "unit": "unit",
                 "exchanges": [],
-                "type": "biosphere",
-                "location": "GLO",
+                "type": "emission",
             }
-            datasets[self.name, f"{method}_technosphere_proxy"] = {
-                "name": f"Technosphere proxy for {method}",
+            if not self.with_ecoinvent:
+                bio_datasets[self.name, f"{method[1:]}_proxy"] = bio_dataset
+            else:
+                bio_dataset["code"] = f"{method[1:]}_proxy"
+                bio_node = ei_bio_database.new_node(**bio_dataset)
+                bio_node.save()
+            tech_datasets[self.name, f"{method[1:]}_technosphere_proxy"] = {
+                "name": f"Technosphere proxy for {method[1:]}",
                 "unit": "unit",
                 "location": "GLO",
                 "production amount": 1,
@@ -132,69 +143,73 @@ def import_in_project(self) -> None:
                     {
                         "type": "biosphere",
                         "amount": 1,
-                        "input": [self.name, f"{method}_proxy"],
+                        "input": [self.biosphere_name, f"{method[1:]}_proxy"],
                     }
                 ],
             }
-        bw_database.write(datasets)
-        for method in bw.methods:
-            characterisation_factors = bw.Method(method).load()
+        if not self.with_ecoinvent:
+            proxy_tech_database.write({**bio_datasets, **tech_datasets})
+        else:
+            proxy_tech_database.write(tech_datasets)
+        for method in bd.methods:
+            if self.with_ecoinvent:
+                characterisation_factors = bd.Method(method).load()
+            else:
+                characterisation_factors = []
+            biosphere_method_proxy_id = ei_bio_database.get(f"{method[1:]}_proxy").id
             if (
                 len(
                     [
                         cf
                         for cf in characterisation_factors
-                        if cf[0] == (self.name, f"{method}_proxy")
+                        if cf[0] == biosphere_method_proxy_id
                     ]
                 )
                 != 1
             ):
-                characterisation_factors.append(((self.name, f"{method}_proxy"), 1))
-                bw.Method(method).write(characterisation_factors)
+                characterisation_factors.append((biosphere_method_proxy_id, 1))
+                bd.Method(method).write(characterisation_factors)
         logger.info("Impact proxies successfully loaded")
 
 
 class EcoInventDatabase(Database):
-    def __init__(self, name, path):
-        Database.__init__(self, name, path)
+    def __init__(
+        self, version: str, system_model: str, replace: Optional[bool] = False
+    ):
+        self.version = version
+        self.system_model = system_model
+        self.replace = replace
+        Database.__init__(self, f"ecoinvent-{self.version}-{self.system_model}")
 
-    def import_in_project(self):
-        logger.info("Loading Eco Invent database...")
-        self.validate()
-        try:
-            importer = bw.SingleOutputEcospold2Importer(
-                dirpath=self.path, db_name=self.name, use_mp=False
-            )
-            importer.apply_strategies()
-            importer.statistics()
-            importer.write_database()
-        except XMLSyntaxError as e:
-            # At least one dataset is invalid
-            msg = "{} in file {}".format(e.msg, e.filename)
-            logger.error(msg)
-            raise BwDatabaseError(msg, exception_type="eco_invent_invalid_dataset")
-        except UnicodeDecodeError:
-            # At least one dataset is not in UTF-8 format
-            msg = "One of the file in the Eco Invent database is not in UTF-8 format"
-            logger.error(msg)
-            raise BwDatabaseError(msg, exception_type="eco_invent_invalid_dataset")
-        except AttributeError as e:
-            # Missing field
-            msg = "Missing field {} in file {}".format(e.name, e.obj.base)
-            logger.error(msg)
-            raise BwDatabaseError(msg, exception_type="eco_invent_invalid_dataset")
+    def execute_at_startup(self):
+        super().execute_at_startup()
+        if self.name not in bd.databases or self.replace:
+            if self.name in bd.databases:
+                del bd.databases[self.name]
+            if f"ecoinvent-{self.version}-biosphere" in bd.databases:
+                del bd.databases[f"ecoinvent-{self.version}-biosphere"]
+            if "impact_proxies" in bd.databases:
+                del bd.databases["impact_proxies"]
+            method_names = [method for method in bd.methods]
+            for method in method_names:
+                del bd.methods[method]
+            self.import_in_project()
         else:
-            logger.info("Eco Invent database successfully loaded")
+            logger.info(
+                "EcoInvent and biosphere already imported in project. Use the replace "
+                "flag if you want to import it again."
+            )
 
-    def validate(self):
-        """
-        Checks the eco invent database exists and is valid.
-        If not the program exits with the exit code 1.
-        """
-        if not os.path.exists(self.path) or len(os.listdir(self.path)) == 0:
-            msg = "No EcoInvent database found at the given path {}".format(self.path)
-            logger.error(msg)
-            raise BwDatabaseError(msg, exception_type="eco_invent_invalid_path")
+    def import_in_project(self):
+        logger.info(f"Downloading EcoInvent under the name {self.name}...")
+        bi.import_ecoinvent_release(
+            version=self.version,
+            system_model=self.system_model,  # can be cutoff / apos / consequential / EN15804
+            username=os.environ["BW_USER"],
+            password=os.environ["BW_PASS"],
+            biosphere_write_mode="replace",
+            use_mp=False,
+        )
 
 
 class ForegroundDatabase(Database):
@@ -210,10 +225,11 @@ def __init__(self, name, path):
         Reference flow has to be specified as import is done in a tree way with
         reference flow as a root.
         :param name: user database name
-        :param path: user datasets location
+        :param path: user datasets root location
 
         """
-        Database.__init__(self, name, path)
+        Database.__init__(self, name)
+        self.path = path
         self.fu_name = ""
         self.parameters = None
         self.context = UserDatabaseContext(
@@ -267,9 +283,9 @@ def find_activities_on_disk(self) -> None:
         logger.info("Foreground datasets successfully loaded")
 
     def execute_at_startup(self):
-        if self.name in bw.databases:
+        if self.name in bd.databases:
             resetParams(self.name)
-            del bw.databases[self.name]
+            del bd.databases[self.name]
 
         self.find_activities_on_disk()
 
@@ -285,7 +301,7 @@ def import_in_project(self) -> None:
         Parameters are then propagated from the reference flow to the leaf activities.
         :return:
         """
-        bw_database = bw.Database(self.name)
+        bw_database = bd.Database(self.name)
         serialized_fu = [
             serialized_activity
             for serialized_activity in self.context.serialized_activities
diff --git a/appabuild/database/user_database_elements.py b/appabuild/database/user_database_elements.py
index 2a1f73e..2d76fed 100644
--- a/appabuild/database/user_database_elements.py
+++ b/appabuild/database/user_database_elements.py
@@ -14,6 +14,7 @@
 from typing import Dict, List, Optional, Tuple, Union
 
 import pydantic
+from lca_algebraic import STORE_FORMULA_KEY
 from sympy import parse_expr
 
 from appabuild.database.bw_databases import BwDatabase
@@ -21,8 +22,6 @@
     ActivityIdentifier,
     SerializedActivity,
     SerializedExchange,
-    Switch,
-    SwitchOption,
 )
 from appabuild.exceptions import SerializedDataError
 
@@ -101,7 +100,7 @@ def to_bw_format(self) -> Dict:
         }
         if self.formula is not None:
             # Handling formula separately otherwise None gets transformed into str
-            exchange["formula"] = self.formula
+            exchange[STORE_FORMULA_KEY] = self.formula
         return exchange
 
     @classmethod
@@ -154,11 +153,9 @@ def from_serialized_exchange(
                         == solved_serialized_exchange.input.uuid
                     ]
                     if len(serialized_input) != 1:
-                        raise ValueError(
-                            f"Cannot find a unique serialized activity with uuid "
-                            f"{solved_serialized_exchange.input.uuid} (found "
-                            f"{len(serialized_input)})."
-                        )
+                        e = f"Cannot find a unique serialized activity with uuid {solved_serialized_exchange.input.uuid} (found {len(serialized_input)})."
+                        logger.exception(e)
+                        raise SerializedDataError(e)
                     serialized_input = serialized_input[0]
                     if solved_serialized_exchange.use_exchange_name:
                         serialized_input.name = solved_serialized_exchange.name
@@ -210,9 +207,9 @@ def replace_parameters(
             try:
                 formula = parse_expr(self.formula)
             except AttributeError as e:
-                raise SerializedDataError(
-                    f"Invalid amount for exchange {self.name}: {e}"
-                )
+                msg = f"Invalid amount for exchange {self.name}: {e}"
+                logger.exception(msg)
+                raise SerializedDataError(msg)
             for param_to_replace, param_replacing in parameters_matching.items():
                 if isinstance(param_replacing, dict):
                     all_oh_params = {
@@ -248,9 +245,9 @@ def replace_parameters(
                         try:
                             formula = formula.subs(param_to_replace, param_replacing)
                         except TypeError as e:
-                            raise SerializedDataError(
-                                f"Invalid amount for exchange {self.name}: {e}"
-                            )
+                            msg = f"Invalid amount for exchange {self.name}: {e}"
+                            logger.exception(msg)
+                            raise SerializedDataError(msg)
                         logger.info(
                             f"Parameters replacement; exchange {self.name}; replacing "
                             f"{param_to_replace} by {param_replacing} in formula."
@@ -338,7 +335,16 @@ def to_bw_format(self) -> Tuple[Tuple[str, str], dict]:
             "comment": self.comment,
             "amount": self.amount,
             "include_in_tree": self.include_in_tree,
-            "exchanges": [exchange.to_bw_format() for exchange in self.exchanges],
+            "exchanges": [exchange.to_bw_format() for exchange in self.exchanges]
+            + [
+                {
+                    "input": (self.database, self.code),
+                    "output": (self.database, self.code),
+                    "name": self.name,
+                    "type": "production",
+                    "amount": 1,
+                }
+            ],
             "properties": self.properties,
         }
 
@@ -380,10 +386,9 @@ def from_serialized_activity(
             )
             activity_code = f"{activity_code}_{amount_of_copies}"
             if activity_code in [activity.code for activity in context.activities]:
-                raise SerializedDataError(
-                    f"Cannot create a duplicate {serialized_activity.name} activity. "
-                    f"Code {activity_code} is not unique."
-                )
+                e = f"Cannot create a duplicate {serialized_activity.name} activity. Code {activity_code} is not unique."
+                logger.exception(e)
+                raise SerializedDataError(e)
         activity_name = serialized_activity.name
         if (
             len(
@@ -405,10 +410,9 @@ def from_serialized_activity(
             )
             activity_name = f"{activity_name}_{amount_of_copies}"
             if activity_name in [activity.name for activity in context.activities]:
-                raise SerializedDataError(
-                    f"Cannot create a duplicate {serialized_activity.name} activity. "
-                    f"Name {activity_name} is not unique, and activity will be a node."
-                )
+                msg = f"Cannot create a duplicate {serialized_activity.name} activity. Name {activity_name} is not unique, and activity will be a node."
+                logger.exception(msg)
+                raise SerializedDataError(msg)
 
         new_activity = Activity(
             code=activity_code,
diff --git a/appabuild/exceptions.py b/appabuild/exceptions.py
index 564a3e1..432ed36 100644
--- a/appabuild/exceptions.py
+++ b/appabuild/exceptions.py
@@ -23,3 +23,7 @@ class ParameterError(Exception):
     """Raised when any problem concerning impact model parameterization is encountered."""
 
     pass
+
+
+class ForegroundDatabaseError(Exception):
+    """Raised when any problem concerning the foreground data is encountered."""
diff --git a/appabuild/model/builder.py b/appabuild/model/builder.py
index 6e39d83..f8e9158 100644
--- a/appabuild/model/builder.py
+++ b/appabuild/model/builder.py
@@ -8,44 +8,35 @@
 import itertools
 import logging
 import os
-import types
-from collections import OrderedDict
-from typing import List, Optional, Tuple
+from typing import List, Optional, Set, Tuple
 
-import brightway2 as bw
+import bw2data as bd
 import lca_algebraic as lcaa
-import yaml
 from apparun.impact_methods import MethodFullName
 from apparun.impact_model import ImpactModel, ModelMetadata
 from apparun.impact_tree import ImpactTreeNode
 from apparun.parameters import EnumParam, FloatParam, ImpactModelParams
 from apparun.tree_node import NodeProperties
-from bw2data.backends.peewee import Activity
-from lca_algebraic import ActivityExtended, with_db_context
-from lca_algebraic.base_utils import _getAmountOrFormula, _getDb, debug
-from lca_algebraic.helpers import _isForeground
-from lca_algebraic.lca import (
-    _createTechProxyForBio,
-    _multiLCAWithCache,
-    _replace_fixed_params,
-)
+from lca_algebraic import ActivityExtended
+from lca_algebraic.base_utils import _getDb
 from lca_algebraic.params import (
-    _fixed_params,
+    _getAmountOrFormula,
     _param_registry,
     newEnumParam,
     newFloatParam,
 )
-from pydantic import ValidationError
-from sympy import Expr, simplify, symbols, sympify
 from sympy.parsing.sympy_parser import parse_expr
 
 from appabuild.config.lca import LCAConfig
 from appabuild.database.databases import ForegroundDatabase
-from appabuild.exceptions import BwDatabaseError, BwMethodError, ParameterError
+from appabuild.exceptions import (
+    BwDatabaseError,
+    BwMethodError,
+    ForegroundDatabaseError,
+    ParameterError,
+)
 from appabuild.logger import logger
 
-act_symbols = {}  # Cache of  act = > symbol
-
 
 def to_bw_method(method_full_name: MethodFullName) -> Tuple[str, str, str]:
     """
@@ -54,7 +45,7 @@ def to_bw_method(method_full_name: MethodFullName) -> Tuple[str, str, str]:
     :return: Brightway representation of the method.
     """
     matching_methods = [
-        method for method in bw.methods if method_full_name in str(method)
+        method for method in bd.methods if method_full_name in str(method[1:])
     ]
     try:
         if len(matching_methods) < 1:
@@ -63,9 +54,9 @@ def to_bw_method(method_full_name: MethodFullName) -> Tuple[str, str, str]:
             raise BwMethodError(
                 f"Too many methods matching {method_full_name}: {matching_methods}."
             )
-    except BwMethodError:
-        logger.exception("BwMethodError")
-        raise
+    except BwMethodError as e:
+        logger.exception(e)
+        raise e
 
     return matching_methods[0]
 
@@ -82,7 +73,6 @@ def __init__(
         methods: list[str],
         output_path: str,
         metadata: Optional[ModelMetadata] = ModelMetadata(),
-        compile_models: bool = True,
         parameters: Optional[ImpactModelParams] = None,
     ):
         """
@@ -104,8 +94,7 @@ def __init__(
         self.methods = methods
         self.metadata = metadata
         self.output_path = output_path
-        self.compile_models = compile_models
-        self.bw_user_database = bw.Database(self.user_database_name)
+        self.bw_user_database = bd.Database(self.user_database_name)
 
     @staticmethod
     def from_yaml(lca_config_path: str) -> ImpactModelBuilder:
@@ -125,7 +114,6 @@ def from_yaml(lca_config_path: str) -> ImpactModelBuilder:
                 lca_config.model.name + ".yaml",
             ),
             lca_config.model.metadata,
-            lca_config.model.compile,
             ImpactModelParams.from_list(lca_config.model.parameters),
         )
         return builder
@@ -138,66 +126,34 @@ def build_impact_model(
         :param foreground_database: database containing the functional unit
         :return: built impact model.
         """
-
         if foreground_database is not None:
             foreground_database.set_functional_unit(
                 self.functional_unit, self.parameters
             )
             foreground_database.execute_at_build_time()
 
-        functional_unit_bw = self.find_functional_unit_in_bw()
-        tree, params = self.build_impact_tree_and_parameters(
-            functional_unit_bw, self.methods
-        )
-        impact_model = ImpactModel(tree=tree, parameters=params, metadata=self.metadata)
-        return impact_model
-
-    def find_functional_unit_in_bw(self) -> ActivityExtended:
-        """
-        Find the bw activity matching the functional unit in the bw database. A single activity
-        should be found as it is to be used as the root of the tree.
-        """
-        functional_unit_bw = [
-            i for i in self.bw_user_database if self.functional_unit == i["name"]
-        ]
-        try:
-            if len(functional_unit_bw) < 1:
-                raise BwDatabaseError(
-                    f"Cannot find activity {self.functional_unit} for FU."
-                )
-            if len(functional_unit_bw) > 1:
-                raise BwDatabaseError(
-                    f"Too many activities matching {self.functional_unit} for FU: "
-                    f"{functional_unit_bw}."
-                )
-        except BwDatabaseError:
-            logger.exception("BwDatabaseError")
-            raise
-        functional_unit_bw = functional_unit_bw[0]
-        return functional_unit_bw
-
-    def build_impact_tree_and_parameters(
-        self, functional_unit_bw: ActivityExtended, methods: List[str]
-    ) -> Tuple[ImpactTreeNode, ImpactModelParams]:
-        """
-        Perform LCA, construct all arithmetic models and collect used parameters.
-        :param functional_unit_bw: Brightway activity producing the reference flow.
-        :param methods: list of methods to generate arithmetic models for. Expected
-        method format is Appa Run method keys.
-        :return: root node (corresponding to the reference flow) and used parameters.
-        """
-        # lcaa param registry can be populated if a model has already been built
-        _param_registry().clear()
+        functional_unit_bw = self.find_activity_in_bw(self.functional_unit)
+        methods_bw = {
+            method: to_bw_method(MethodFullName[method]) for method in self.methods
+        }
 
-        methods_bw = [to_bw_method(MethodFullName[method]) for method in methods]
-        tree = ImpactTreeNode(
+        root_node = ImpactTreeNode(
             name=functional_unit_bw["name"],
             amount=1,
             properties=NodeProperties.from_dict(functional_unit_bw["properties"]),
         )
-        # print("computing model to expression for %s" % model)
-        self.actToExpression(functional_unit_bw, tree)
+        self.declare_parameters_in_lcaa()
+        self.build_tree_node(root_node)
+        free_symbols = set()
+        self.compute_node_models(root_node, methods_bw, free_symbols)
+        self.check_symbols_are_known_parameters(free_symbols)
+
+        impact_model = ImpactModel(
+            tree=root_node, parameters=self.parameters, metadata=self.metadata
+        )
+        return impact_model
 
+    def check_symbols_are_known_parameters(self, symbols_in_amount: Set[str]):
         # Check if each symbol corresponds to a known parameter
 
         # TODO move that in a FloatParam method
@@ -237,25 +193,9 @@ def build_impact_tree_and_parameters(
         params_in_default = [
             parameter for parameter in params_in_default if isinstance(parameter, str)
         ]  # there can be int params at this point
-        free_symbols = set(
-            list(
-                itertools.chain.from_iterable(
-                    [
-                        [str(symb) for symb in node._raw_direct_impact.free_symbols]
-                        for node in tree.unnested_descendants
-                    ]
-                )
-            )
-            + list(
-                itertools.chain.from_iterable(
-                    [
-                        [str(symb) for symb in node.amount.free_symbols]
-                        for node in tree.unnested_descendants
-                        if isinstance(node.amount, Expr)
-                    ]
-                )
-            )
-            + [
+
+        symbols_in_default = set(
+            [
                 str(symb)
                 for symb in list(
                     itertools.chain.from_iterable(
@@ -268,47 +208,24 @@ def build_impact_tree_and_parameters(
             ]
         )
 
-        activity_symbols = set([str(symb["symbol"]) for _, symb in act_symbols.items()])
-
-        expected_parameter_symbols = free_symbols - activity_symbols
-
-        forbidden_parameter_names = list(
-            itertools.chain(
-                *[
-                    [
-                        elem.name
-                        for elem in self.parameters.find_corresponding_parameter(
-                            activity_symbol, must_find_one=False
-                        )
-                    ]
-                    for activity_symbol in activity_symbols
-                ]
-            )
-        )
-
-        try:
-            if len(forbidden_parameter_names) > 0:
-                raise ParameterError(
-                    f"Parameter names {forbidden_parameter_names} are forbidden as they "
-                    f"correspond to background activities."
-                )
-        except ParameterError as e:
-            logger.exception(e)
-            raise ParameterError(e)
-        for expected_parameter_symbol in expected_parameter_symbols:
+        free_symbols = symbols_in_amount.union(symbols_in_default)
+        for free_symbol in free_symbols:
             try:
-                self.parameters.find_corresponding_parameter(expected_parameter_symbol)
+                self.parameters.find_corresponding_parameter(free_symbol)
             except ValueError:
                 e = (
-                    f"ValueError : {expected_parameter_symbol} is required in the impact"
+                    f"ParameterError: {free_symbol} is required in the impact"
                     f" model but is unknown in the config. Please check in the LCA "
                     f"config."
                 )
                 logger.error(e)
                 raise ParameterError(e)
 
-        # Declare used parameters in conf file as a lca_algebraic parameter to enable
-        # model building (will not be used afterwards)
+    def declare_parameters_in_lcaa(self):
+        """
+        Declare used parameters in conf file as a lca_algebraic parameter to enable
+        model building (will not be used afterwards)
+        """
 
         for parameter in self.parameters:
             if parameter.name in _param_registry().keys():
@@ -331,142 +248,54 @@ def build_impact_tree_and_parameters(
                     dbname=self.user_database_name,
                 )
 
-        # Create dummy reference to biosphere
-        # We cannot run LCA to biosphere activities
-        # We create a technosphere activity mapping exactly to 1 biosphere item
-        pureTechActBySymbol = OrderedDict()
-        for act, name in [
-            (act, name) for act, name in act_symbols.items() if name["to_compile"]
-        ]:
-            pureTechActBySymbol[name["symbol"]] = _createTechProxyForBio(
-                act, functional_unit_bw.key[0]
-            )
-
-        # Compute LCA for background activities
-        lcas = _multiLCAWithCache(pureTechActBySymbol.values(), methods_bw)
-
-        # For each method, compute an algebric expression with activities replaced by their values
-        for node in tree.unnested_descendants:
-            model_expr = node._raw_direct_impact
-            for method in methods:
-                # Replace activities by their value in expression for this method
-                sub = dict(
-                    {
-                        symbol: lcas[(act, to_bw_method(MethodFullName[method]))]
-                        for symbol, act in pureTechActBySymbol.items()
-                    }
-                )
-                node.direct_impacts[method] = model_expr.xreplace(sub)
-        return tree, self.parameters
+    def build_tree_node(self, tree_node: ImpactTreeNode):
+        act = self.find_activity_in_bw(tree_node.name)
+        for exch in act.exchanges():
+            input_db, input_code = exch["input"]
+            _, output_code = exch["output"]
+            if input_db == self.user_database_name and output_code != input_code:
+                sub_act = _getDb(input_db).get(input_code)
+                if tree_node.name_already_in_tree(sub_act.get("name")):
+                    e = f"Found recursive activity: {sub_act.get('name')}"
+                    logger.exception(e)
+                    raise ForegroundDatabaseError(e)
+                if sub_act.get("include_in_tree"):
+                    amount = _getAmountOrFormula(exch)
+                    child_tree_node = tree_node.new_child(
+                        name=sub_act["name"],
+                        amount=amount,
+                        properties=NodeProperties.from_dict(sub_act["properties"]),
+                    )
+                    self.build_tree_node(child_tree_node)
 
-    @staticmethod
-    @with_db_context
-    def actToExpression(act: Activity, impact_model_tree_node: ImpactTreeNode):
+    def compute_node_models(
+        self, tree_node: ImpactTreeNode, methods, free_symbols: Set
+    ):
+        act = self.find_activity_in_bw(tree_node.name)
+        models = lcaa.lca._modelToExpr(act, methods=list(methods.values()))
+        all_param_symbols = [model.free_symbols for model in models]
+        for param_symbols in all_param_symbols:
+            free_symbols.update({str(param_symbol) for param_symbol in param_symbols})
+        tree_node.models = {
+            list(methods.keys())[i]: tree_node.combined_amount * models[i]
+            for i in range(len(methods.keys()))
+        }
+        for child in tree_node.children:
+            self.compute_node_models(child, methods, free_symbols)
+
+    def find_activity_in_bw(self, activity_name) -> ActivityExtended:
         """
-        Determines the arithmetic model corresponding to activity's impact function of
-        model's parameters.
-        :param act: Brightway activity corresponding to the node.
-        :param impact_model_tree_node: node of the tree to store result in.
-        :return:
+        Find the bw activity matching the functional unit in the bw database. A single activity
+        should be found as it is to be used as the root of the tree.
         """
-
-        def act_to_symbol(sub_act, to_compile: bool = True):
-            """Transform an activity to a named symbol and keep cache of it"""
-
-            db_name, code = sub_act.key
-
-            # Look in cache
-            if not (db_name, code) in act_symbols:
-                act = _getDb(db_name).get(code)
-                name = act["name"]
-                base_slug = ImpactTreeNode.node_name_to_symbol_name(name)
-
-                slug = base_slug
-                i = 1
-                while symbols(slug) in [
-                    act_symbol["symbol"] for act_symbol in list(act_symbols.values())
-                ]:
-                    slug = f"{base_slug}{i}"
-                    i += 1
-
-                act_symbols[(db_name, code)] = {
-                    "symbol": symbols(slug),
-                    "to_compile": to_compile,
-                }
-
-            return act_symbols[(db_name, code)]["symbol"]
-
-        def rec_func(act: Activity, impact_model_tree_node: ImpactTreeNode):
-            res = 0
-            outputAmount = act.getOutputAmount()
-
-            if not _isForeground(act["database"]):
-                # We reached a background DB ? => stop developping and create reference
-                # to activity
-                return act_to_symbol(act)
-
-            for exch in act.exchanges():
-                amount = _getAmountOrFormula(exch)
-                if isinstance(amount, types.FunctionType):
-                    # Some amounts in EIDB are functions ... we ignore them
-                    continue
-
-                #  Production exchange
-                if exch["input"] == exch["output"]:
-                    continue
-
-                input_db, input_code = exch["input"]
-                sub_act = _getDb(input_db).get(input_code)
-
-                # Background DB or tracked foreground activity => reference it as a
-                # symbol
-                if not _isForeground(input_db):
-                    act_expr = act_to_symbol(sub_act)
-                else:
-                    try:
-                        if impact_model_tree_node.name_already_in_tree(sub_act["name"]):
-                            raise Exception(
-                                f"Found recursive activity: {sub_act['name']}"
-                            )
-                    except Exception:
-                        logger.exception("Exception")
-                    if sub_act.get("include_in_tree"):
-                        # act_expr = act_to_symbol(sub_act, to_compile=False)
-                        ImpactModelBuilder.actToExpression(
-                            sub_act,
-                            impact_model_tree_node.new_child(
-                                name=sub_act["name"],
-                                amount=amount,
-                                properties=NodeProperties.from_dict(
-                                    sub_act["properties"]
-                                ),
-                            ),
-                        )
-                        amount = 1  # amount is already handled in tree node
-                        act_expr = 0  # no direct impact
-                    # Our model : recursively it to a symbolic expression
-                    else:
-                        act_expr = rec_func(sub_act, impact_model_tree_node)
-
-                avoidedBurden = 1
-
-                if exch.get("type") == "production" and not exch.get(
-                    "input"
-                ) == exch.get("output"):
-                    debug("Avoided burden", exch[lcaa.helpers.name])
-                    avoidedBurden = -1
-
-                # debug("adding sub act : ", sub_act, formula, act_expr)
-
-                res += amount * act_expr * avoidedBurden
-
-            return res / outputAmount
-
-        expr = rec_func(act, impact_model_tree_node)
-
-        if isinstance(expr, float):
-            expr = simplify(expr)
-        else:
-            # Replace fixed params with their default value
-            expr = _replace_fixed_params(expr, _fixed_params().values())
-        impact_model_tree_node._raw_direct_impact = expr
+        act = [i for i in self.bw_user_database if activity_name == i["name"]]
+        try:
+            if len(act) < 1:
+                raise BwDatabaseError(f"Cannot find activity {activity_name} for FU.")
+            if len(act) > 1:
+                raise BwDatabaseError(f"Too many activities matching {activity_name}.")
+        except BwDatabaseError:
+            logger.exception("BwDatabaseError")
+            raise
+        act = act[0]
+        return act
diff --git a/appabuild/setup.py b/appabuild/setup.py
index 7c80bd9..18da511 100644
--- a/appabuild/setup.py
+++ b/appabuild/setup.py
@@ -3,11 +3,11 @@
 """
 from typing import Optional
 
-import brightway2 as bw
+import bw2data as bd
+import bw2io as bi
 
 from appabuild.config.appa_lca import AppaLCAConfig
 from appabuild.database.databases import (
-    BiosphereDatabase,
     EcoInventDatabase,
     ForegroundDatabase,
     ImpactProxiesDatabase,
@@ -27,31 +27,23 @@ def initialize(appabuild_config_path: str) -> ForegroundDatabase:
 
     appabuild_config = AppaLCAConfig.from_yaml(appabuild_config_path)
 
-    ecoinvent_name = (
-        appabuild_config.databases["ecoinvent"].name
-        if "ecoinvent" in appabuild_config.databases
-        else None
-    )
-
-    ecoinvent_path = (
-        appabuild_config.databases["ecoinvent"].path
-        if "ecoinvent" in appabuild_config.databases
-        else None
-    )
-
-    if ecoinvent_path is None:
-        logger.warning(
-            "No path given for ecoinvent databases, building the impact model will be done without"
+    if appabuild_config.databases.ecoinvent is not None:
+        ecoinvent_version = appabuild_config.databases.ecoinvent.version
+        ecoinvent_system_model = appabuild_config.databases.ecoinvent.system_model
+        logger.info(
+            f"Loading EcoInvent database {ecoinvent_version}-{ecoinvent_system_model}..."
         )
     else:
-        logger.info(f"Loading EcoInvent database from {ecoinvent_path}")
-
+        ecoinvent_version = None
+        ecoinvent_system_model = None
+        logger.warning("No EcoInvent database in LCA conf.")
     return project_setup(
         project_name=appabuild_config.project_name,
-        ecoinvent_name=ecoinvent_name,
-        ecoinvent_path=ecoinvent_path,
-        foreground_name=appabuild_config.databases["foreground"].name,
-        foreground_path=appabuild_config.databases["foreground"].path,
+        ecoinvent_version=ecoinvent_version,
+        ecoinvent_system_model=ecoinvent_system_model,
+        replace_bg=appabuild_config.replace_bg,
+        foreground_name=appabuild_config.databases.foreground.name,
+        foreground_path=appabuild_config.databases.foreground.path,
     )
 
 
@@ -72,9 +64,7 @@ def build(
     impact_model = impact_model_builder.build_impact_model(foreground_database)
     logger.info("Impact model successfully built")
 
-    impact_model.to_yaml(
-        impact_model_builder.output_path, impact_model_builder.compile_models
-    )
+    impact_model.to_yaml(impact_model_builder.output_path)
 
     return impact_model
 
@@ -83,33 +73,48 @@ def project_setup(
     project_name: str,
     foreground_name: str,
     foreground_path: str,
-    ecoinvent_name: Optional[str] = None,
-    ecoinvent_path: Optional[str] = None,
+    ecoinvent_version: Optional[str] = None,
+    ecoinvent_system_model: Optional[str] = None,
+    replace_bg: Optional[bool] = False,
 ) -> ForegroundDatabase:
     """
     Triggers all Brightway functions and database import necessary to build an Impact
     Model.
     :param project_name: Brightway project name.
-    :param ecoinvent_name: how EcoInvent is referred to in user datasets.
-    :param ecoinvent_path: path to EcoInvent database.
     :param foreground_name: how user database is referred to.
     :param foreground_path: path to folder containing user datasets.
+    :param ecoinvent_version: #TODO
+    :param ecoinvent_system_model: #TODO
+    :param replace_bg: if set to True, LCIA methods, biosphere DB and EcoInvent DB will
+    be recreated.
     """
-    bw.projects.set_current(project_name)
+    bd.projects.set_current(project_name)
+    databases = []
+    if ecoinvent_version is not None:
+        ecoinvent_database = EcoInventDatabase(
+            version=ecoinvent_version,
+            system_model=ecoinvent_system_model,
+            replace=replace_bg,
+        )
+        proxy_database = ImpactProxiesDatabase(
+            f"ecoinvent-{ecoinvent_database.version}-biosphere",
+            replace=replace_bg,
+        )
+        databases += [ecoinvent_database, proxy_database]
+    else:
+        proxy_database = ImpactProxiesDatabase(
+            biosphere_name=None,
+            replace=replace_bg,
+        )
+        databases += [proxy_database]
     foreground_database = ForegroundDatabase(
         name=foreground_name,
         path=foreground_path,
     )
-    databases = [
-        BiosphereDatabase(),
-        ImpactProxiesDatabase(),
+    databases += [
         foreground_database,
     ]
 
-    if ecoinvent_path is not None:
-        ecoinvent_database = EcoInventDatabase(name=ecoinvent_name, path=ecoinvent_path)
-        databases.append(ecoinvent_database)
-
     for external_database in databases:
         external_database.execute_at_startup()
 
diff --git a/data/methods/ecoinvent_3.11_methods.csv b/data/methods/ecoinvent_3.11_methods.csv
new file mode 100644
index 0000000..736358b
--- /dev/null
+++ b/data/methods/ecoinvent_3.11_methods.csv
@@ -0,0 +1,639 @@
+CML v4.8 2016 no LT;acidification no LT;acidification (incl. fate, average Europe total, A&B) no LT;kg SO2-Eq
+CML v4.8 2016 no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+CML v4.8 2016 no LT;ecotoxicity: freshwater no LT;freshwater aquatic ecotoxicity (FAETP inf) no LT;kg 1,4-DCB-Eq
+CML v4.8 2016 no LT;ecotoxicity: marine no LT;marine aquatic ecotoxicity (MAETP inf) no LT;kg 1,4-DCB-Eq
+CML v4.8 2016 no LT;ecotoxicity: terrestrial no LT;terrestrial ecotoxicity (TETP inf) no LT;kg 1,4-DCB-Eq
+CML v4.8 2016 no LT;energy resources: non-renewable no LT;abiotic depletion potential (ADP): fossil fuels no LT;MJ
+CML v4.8 2016 no LT;eutrophication no LT;eutrophication (fate not incl.) no LT;kg PO4-Eq
+CML v4.8 2016 no LT;human toxicity no LT;human toxicity (HTP inf) no LT;kg 1,4-DCB-Eq
+CML v4.8 2016 no LT;material resources: metals/minerals no LT;abiotic depletion potential (ADP): elements (ultimate reserves) no LT;kg Sb-Eq
+CML v4.8 2016 no LT;ozone depletion no LT;ozone layer depletion (ODP steady state) no LT;kg CFC-11-Eq
+CML v4.8 2016 no LT;photochemical oxidant formation no LT;photochemical oxidation (high NOx) no LT;kg ethylene-Eq
+CML v4.8 2016;acidification;acidification (incl. fate, average Europe total, A&B);kg SO2-Eq
+CML v4.8 2016;climate change;global warming potential (GWP100);kg CO2-Eq
+CML v4.8 2016;ecotoxicity: freshwater;freshwater aquatic ecotoxicity (FAETP inf);kg 1,4-DCB-Eq
+CML v4.8 2016;ecotoxicity: marine;marine aquatic ecotoxicity (MAETP inf);kg 1,4-DCB-Eq
+CML v4.8 2016;ecotoxicity: terrestrial;terrestrial ecotoxicity (TETP inf);kg 1,4-DCB-Eq
+CML v4.8 2016;energy resources: non-renewable;abiotic depletion potential (ADP): fossil fuels;MJ
+CML v4.8 2016;eutrophication;eutrophication (fate not incl.);kg PO4-Eq
+CML v4.8 2016;human toxicity;human toxicity (HTP inf);kg 1,4-DCB-Eq
+CML v4.8 2016;material resources: metals/minerals;abiotic depletion potential (ADP): elements (ultimate reserves);kg Sb-Eq
+CML v4.8 2016;ozone depletion;ozone layer depletion (ODP steady state);kg CFC-11-Eq
+CML v4.8 2016;photochemical oxidant formation;photochemical oxidation (high NOx);kg ethylene-Eq
+Crustal Scarcity Indicator 2020;material resources: metals/minerals;crustal scarcity potential (CSP);kg Si-Eq
+Cumulative Energy Demand (CED);energy resources: non-renewable;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: non-renewable, biomass;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: non-renewable, fossil;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: non-renewable, nuclear;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, biomass;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, geothermal;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, geothermal, solar, wind;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, solar;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, water;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);energy resources: renewable, wind;energy content (HHV);MJ-Eq
+Cumulative Energy Demand (CED);total;energy content (HHV);MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: non-renewable;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: non-renewable, biomass;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: non-renewable, fossil;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: non-renewable, nuclear;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: renewable;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: renewable, biomass;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: renewable, solar;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: renewable, water;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);energy resources: renewable, wind;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);material resources;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);material resources: metals;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);material resources: minerals;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);material resources: water;exergy content;MJ-Eq
+Cumulative Exergy Demand (CExD);total;exergy content;MJ-Eq
+Ecological Footprint;CO2;global hectares;m2a
+Ecological Footprint;land occupation;global hectares;m2a
+Ecological Footprint;nuclear;global hectares;m2a
+Ecological Footprint;total;global hectares;m2a
+Ecological Scarcity 2021 no LT;climate change no LT;global warming potential (GWP100) no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to air no LT;air pollutants and PM no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to air no LT;carcinogenic substances into air no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to air no LT;heavy metals into air no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to air no LT;radioactive substances into air no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to soil no LT;heavy metals into soil no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to soil no LT;pesticides into soil no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to water no LT;heavy metals into water no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to water no LT;POP into water no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to water no LT;radioactive substances into water no LT;UBP
+Ecological Scarcity 2021 no LT;emissions to water no LT;water pollutants no LT;UBP
+Ecological Scarcity 2021 no LT;energy resources no LT;energy resources no LT;UBP
+Ecological Scarcity 2021 no LT;land use no LT;land use no LT;UBP
+Ecological Scarcity 2021 no LT;mineral resources no LT;mineral resources no LT;UBP
+Ecological Scarcity 2021 no LT;natural resources no LT;biotic resources no LT;UBP
+Ecological Scarcity 2021 no LT;ozone depletion no LT;ozone depletion no LT;UBP
+Ecological Scarcity 2021 no LT;total no LT;UBP no LT;UBP
+Ecological Scarcity 2021 no LT;waste disposal no LT;radioactive waste to deposit no LT;UBP
+Ecological Scarcity 2021 no LT;waste disposal no LT;waste, non radioactive no LT;UBP
+Ecological Scarcity 2021 no LT;water use no LT;water resources, evaporated no LT;UBP
+Ecological Scarcity 2021;climate change;global warming potential (GWP100);UBP
+Ecological Scarcity 2021;emissions to air;air pollutants and PM;UBP
+Ecological Scarcity 2021;emissions to air;carcinogenic substances into air;UBP
+Ecological Scarcity 2021;emissions to air;heavy metals into air;UBP
+Ecological Scarcity 2021;emissions to air;radioactive substances into air;UBP
+Ecological Scarcity 2021;emissions to soil;heavy metals into soil;UBP
+Ecological Scarcity 2021;emissions to soil;pesticides into soil;UBP
+Ecological Scarcity 2021;emissions to water;heavy metals into water;UBP
+Ecological Scarcity 2021;emissions to water;POP into water;UBP
+Ecological Scarcity 2021;emissions to water;radioactive substances into water;UBP
+Ecological Scarcity 2021;emissions to water;water pollutants;UBP
+Ecological Scarcity 2021;energy resources;energy resources;UBP
+Ecological Scarcity 2021;land use;land use;UBP
+Ecological Scarcity 2021;mineral resources;mineral resources;UBP
+Ecological Scarcity 2021;natural resources;biotic resources;UBP
+Ecological Scarcity 2021;ozone depletion;ozone depletion;UBP
+Ecological Scarcity 2021;total;UBP;UBP
+Ecological Scarcity 2021;waste disposal;radioactive waste to deposit;UBP
+Ecological Scarcity 2021;waste disposal;waste, non radioactive;UBP
+Ecological Scarcity 2021;water use;water resources, evaporated;UBP
+Ecosystem Damage Potential;land occupation;ecosystem damage potential;points
+Ecosystem Damage Potential;land transformation;ecosystem damage potential;points
+Ecosystem Damage Potential;total;ecosystem damage potential;points
+EF v3.0 no LT;acidification no LT;accumulated exceedance (AE) no LT;mol H+-Eq
+EF v3.0 no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.0 no LT;climate change: biogenic no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.0 no LT;climate change: fossil no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.0 no LT;climate change: land use and land use change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.0 no LT;ecotoxicity: freshwater no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.0 no LT;ecotoxicity: freshwater, inorganics no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.0 no LT;ecotoxicity: freshwater, metals no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.0 no LT;ecotoxicity: freshwater, organics no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.0 no LT;energy resources: non-renewable no LT;abiotic depletion potential (ADP): fossil fuels no LT;MJ, net calorific value
+EF v3.0 no LT;eutrophication: freshwater no LT;fraction of nutrients reaching freshwater end compartment (P) no LT;kg P-Eq
+EF v3.0 no LT;eutrophication: marine no LT;fraction of nutrients reaching marine end compartment (N) no LT;kg N-Eq
+EF v3.0 no LT;eutrophication: terrestrial no LT;accumulated exceedance (AE) no LT;mol N-Eq
+EF v3.0 no LT;human toxicity: carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: carcinogenic, inorganics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: carcinogenic, metals no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: carcinogenic, organics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: non-carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: non-carcinogenic, inorganics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: non-carcinogenic, metals no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;human toxicity: non-carcinogenic, organics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.0 no LT;ionising radiation: human health no LT;human exposure efficiency relative to u235 no LT;kBq U235-Eq
+EF v3.0 no LT;land use no LT;soil quality index no LT;dimensionless
+EF v3.0 no LT;material resources: metals/minerals no LT;abiotic depletion potential (ADP): elements (ultimate reserves) no LT;kg Sb-Eq
+EF v3.0 no LT;ozone depletion no LT;ozone depletion potential (ODP) no LT;kg CFC-11-Eq
+EF v3.0 no LT;particulate matter formation no LT;impact on human health no LT;disease incidence
+EF v3.0 no LT;photochemical oxidant formation: human health no LT;tropospheric ozone concentration increase no LT;kg NMVOC-Eq
+EF v3.0 no LT;water use no LT;user deprivation potential (deprivation-weighted water consumption) no LT;m3 world Eq deprived
+EF v3.0;acidification;accumulated exceedance (AE);mol H+-Eq
+EF v3.0;climate change;global warming potential (GWP100);kg CO2-Eq
+EF v3.0;climate change: biogenic;global warming potential (GWP100);kg CO2-Eq
+EF v3.0;climate change: fossil;global warming potential (GWP100);kg CO2-Eq
+EF v3.0;climate change: land use and land use change;global warming potential (GWP100);kg CO2-Eq
+EF v3.0;ecotoxicity: freshwater;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.0;ecotoxicity: freshwater, inorganics;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.0;ecotoxicity: freshwater, metals;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.0;ecotoxicity: freshwater, organics;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.0;energy resources: non-renewable;abiotic depletion potential (ADP): fossil fuels;MJ, net calorific value
+EF v3.0;eutrophication: freshwater;fraction of nutrients reaching freshwater end compartment (P);kg P-Eq
+EF v3.0;eutrophication: marine;fraction of nutrients reaching marine end compartment (N);kg N-Eq
+EF v3.0;eutrophication: terrestrial;accumulated exceedance (AE);mol N-Eq
+EF v3.0;human toxicity: carcinogenic;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: carcinogenic, inorganics;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: carcinogenic, metals;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: carcinogenic, organics;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: non-carcinogenic;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: non-carcinogenic, inorganics;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: non-carcinogenic, metals;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;human toxicity: non-carcinogenic, organics;comparative toxic unit for human (CTUh);CTUh
+EF v3.0;ionising radiation: human health;human exposure efficiency relative to u235;kBq U235-Eq
+EF v3.0;land use;soil quality index;dimensionless
+EF v3.0;material resources: metals/minerals;abiotic depletion potential (ADP): elements (ultimate reserves);kg Sb-Eq
+EF v3.0;ozone depletion;ozone depletion potential (ODP);kg CFC-11-Eq
+EF v3.0;particulate matter formation;impact on human health;disease incidence
+EF v3.0;photochemical oxidant formation: human health;tropospheric ozone concentration increase;kg NMVOC-Eq
+EF v3.0;water use;user deprivation potential (deprivation-weighted water consumption);m3 world Eq deprived
+EF v3.1 no LT;acidification no LT;accumulated exceedance (AE) no LT;mol H+-Eq
+EF v3.1 no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.1 no LT;climate change: biogenic no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.1 no LT;climate change: fossil no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.1 no LT;climate change: land use and land use change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+EF v3.1 no LT;ecotoxicity: freshwater no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.1 no LT;ecotoxicity: freshwater, inorganics no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.1 no LT;ecotoxicity: freshwater, organics no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+EF v3.1 no LT;energy resources: non-renewable no LT;abiotic depletion potential (ADP): fossil fuels no LT;MJ, net calorific value
+EF v3.1 no LT;eutrophication: freshwater no LT;fraction of nutrients reaching freshwater end compartment (P) no LT;kg P-Eq
+EF v3.1 no LT;eutrophication: marine no LT;fraction of nutrients reaching marine end compartment (N) no LT;kg N-Eq
+EF v3.1 no LT;eutrophication: terrestrial no LT;accumulated exceedance (AE) no LT;mol N-Eq
+EF v3.1 no LT;human toxicity: carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;human toxicity: carcinogenic, inorganics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;human toxicity: carcinogenic, organics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;human toxicity: non-carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;human toxicity: non-carcinogenic, inorganics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;human toxicity: non-carcinogenic, organics no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+EF v3.1 no LT;ionising radiation: human health no LT;human exposure efficiency relative to u235 no LT;kBq U235-Eq
+EF v3.1 no LT;land use no LT;soil quality index no LT;dimensionless
+EF v3.1 no LT;material resources: metals/minerals no LT;abiotic depletion potential (ADP): elements (ultimate reserves) no LT;kg Sb-Eq
+EF v3.1 no LT;ozone depletion no LT;ozone depletion potential (ODP) no LT;kg CFC-11-Eq
+EF v3.1 no LT;particulate matter formation no LT;impact on human health no LT;disease incidence
+EF v3.1 no LT;photochemical oxidant formation: human health no LT;tropospheric ozone concentration increase no LT;kg NMVOC-Eq
+EF v3.1 no LT;water use no LT;user deprivation potential (deprivation-weighted water consumption) no LT;m3 world Eq deprived
+EF v3.1;acidification;accumulated exceedance (AE);mol H+-Eq
+EF v3.1;climate change;global warming potential (GWP100);kg CO2-Eq
+EF v3.1;climate change: biogenic;global warming potential (GWP100);kg CO2-Eq
+EF v3.1;climate change: fossil;global warming potential (GWP100);kg CO2-Eq
+EF v3.1;climate change: land use and land use change;global warming potential (GWP100);kg CO2-Eq
+EF v3.1;ecotoxicity: freshwater;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.1;ecotoxicity: freshwater, inorganics;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.1;ecotoxicity: freshwater, organics;comparative toxic unit for ecosystems (CTUe);CTUe
+EF v3.1;energy resources: non-renewable;abiotic depletion potential (ADP): fossil fuels;MJ, net calorific value
+EF v3.1;eutrophication: freshwater;fraction of nutrients reaching freshwater end compartment (P);kg P-Eq
+EF v3.1;eutrophication: marine;fraction of nutrients reaching marine end compartment (N);kg N-Eq
+EF v3.1;eutrophication: terrestrial;accumulated exceedance (AE);mol N-Eq
+EF v3.1;human toxicity: carcinogenic;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;human toxicity: carcinogenic, inorganics;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;human toxicity: carcinogenic, organics;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;human toxicity: non-carcinogenic;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;human toxicity: non-carcinogenic, inorganics;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;human toxicity: non-carcinogenic, organics;comparative toxic unit for human (CTUh);CTUh
+EF v3.1;ionising radiation: human health;human exposure efficiency relative to u235;kBq U235-Eq
+EF v3.1;land use;soil quality index;dimensionless
+EF v3.1;material resources: metals/minerals;abiotic depletion potential (ADP): elements (ultimate reserves);kg Sb-Eq
+EF v3.1;ozone depletion;ozone depletion potential (ODP);kg CFC-11-Eq
+EF v3.1;particulate matter formation;impact on human health;disease incidence
+EF v3.1;photochemical oxidant formation: human health;tropospheric ozone concentration increase;kg NMVOC-Eq
+EF v3.1;water use;user deprivation potential (deprivation-weighted water consumption);m3 world Eq deprived
+EN15804+A2 - Additional impact categories and indicators;particulate matter formation;impact on human health;disease incidence
+EN15804+A2 - Additional impact categories and indicators;ionising radiation: human health;human exposure efficiency relative to u235;kBq U235-Eq
+EN15804+A2 - Additional impact categories and indicators;ecotoxicity: freshwater (EF v3.0);comparative toxic unit for ecosystems (CTUe);CTUe
+EN15804+A2 - Additional impact categories and indicators;human toxicity: carcinogenic;comparative toxic unit for human (CTUh);CTUh
+EN15804+A2 - Additional impact categories and indicators;human toxicity: non-carcinogenic (EF v3.0);comparative toxic unit for human (CTUh);CTUh
+EN15804+A2 - Additional impact categories and indicators;land use;soil quality index;dimensionless
+EN15804+A2 - Additional impact categories and indicators;ecotoxicity: freshwater (EF v3.1);comparative toxic unit for ecosystems (CTUe);CTUe
+EN15804+A2 - Additional impact categories and indicators;human toxicity: non-carcinogenic (EF v3.1);comparative toxic unit for human (CTUh);CTUh
+EN15804+A2 - Core impact categories and indicators;climate change: total (EF v3.0 - IPCC 2013);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: fossil (EF v3.0 - IPCC 2013);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: biogenic (EF v3.0 - IPCC 2013);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: land use and land use change (EF v3.0 - IPCC 2013);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;ozone depletion;ozone depletion potential (ODP);kg CFC-11-Eq
+EN15804+A2 - Core impact categories and indicators;acidification;accumulated exceedance (AE);mol H+-Eq
+EN15804+A2 - Core impact categories and indicators;eutrophication: freshwater;fraction of nutrients reaching freshwater end compartment (P);kg P-Eq
+EN15804+A2 - Core impact categories and indicators;eutrophication: marine;fraction of nutrients reaching marine end compartment (N);kg N-Eq
+EN15804+A2 - Core impact categories and indicators;eutrophication: terrestrial;accumulated exceedance (AE);mol H+-Eq
+EN15804+A2 - Core impact categories and indicators;photochemical oxidant formation: human health;tropospheric ozone concentration increase;kg NMVOC-Eq
+EN15804+A2 - Core impact categories and indicators;material resources: metals/minerals;abiotic depletion potential (ADP): elements (ultimate reserves);kg Sb-Eq
+EN15804+A2 - Core impact categories and indicators;energy resources: non-renewable;abiotic depletion potential (ADP): fossil fuels;MJ, net calorific value
+EN15804+A2 - Core impact categories and indicators;water use;user deprivation potential (deprivation-weighted water consumption);m3 world Eq deprived
+EN15804+A2 - Core impact categories and indicators;climate change: total (EF v3.1 - IPCC 2021);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: fossil (EF v3.1 - IPCC 2021);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: biogenic (EF v3.1 - IPCC 2021);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Core impact categories and indicators;climate change: land use and land use change (EF v3.1 - IPCC 2021);global warming potential (GWP100);kg CO2-Eq
+EN15804+A2 - Indicators describing output flows;exported energy - electricity;EEE;MJ
+EN15804+A2 - Indicators describing output flows;exported energy - heat;EET;MJ
+EN15804+A2 - Indicators describing output flows;materials for energy recovery;MER;kg
+EN15804+A2 - Indicators describing output flows;materials for recycling;MFR;kg
+EN15804+A2 - Indicators describing output flows;exported energy;EE;MJ
+EN15804+A2 - Indicators describing output flows;components for re-use;CRU;kg
+EN15804+A2 - Indicators describing resource use;net use of fresh water;FW;m3
+EN15804+A2 - Indicators describing resource use;use of renewable secondary fuels;RSF;MJ
+EN15804+A2 - Indicators describing resource use;use of non-renewable secondary fuels;NRSF;MJ
+EN15804+A2 - Indicators describing resource use;use of secondary material;SM;kg
+EN15804+A2 - Indicators describing resource use;total use of renewable primary energy resources (primary energy and primary energy resources used as raw materials);PERT;MJ
+EN15804+A2 - Indicators describing resource use;total use of non-renewable primary energy resources (primary energy and primary energy resources used as raw materials);PENRT;MJ
+EN15804+A2 - Indicators describing waste categories;hazardous waste disposed;HWD;kg
+EN15804+A2 - Indicators describing waste categories;high-level radioactive waste disposed;HLRW;kg
+EN15804+A2 - Indicators describing waste categories;intermediate and low-level radioactive waste disposed;ILLRW;kg
+EN15804+A2 - Indicators describing waste categories;non-hazardous waste disposed;NHWD;kg
+EN15804+A2 - Indicators describing biogenic carbon content at factory gate;biogenic carbon content in accompanying packaging;BCCAP;kg C
+EN15804+A2 - Indicators describing biogenic carbon content at factory gate;biogenic carbon content in product;BCCP;kg C
+EN15804+A2 - Indicators describing resource use;use of non-renewable primary energy excluding non-renewable primary energy resources used as raw materials;PENRE;MJ
+EN15804+A2 - Indicators describing resource use;use of non-renewable primary energy resources used as raw materials;PENRM;MJ
+EN15804+A2 - Indicators describing resource use;use of renewable primary energy excluding renewable primary energy resources used as raw materials;PERE;MJ
+EN15804+A2 - Indicators describing resource use;use of renewable primary energy resources used as raw materials;PERM;MJ
+EPS 2020d no LT;emissions to air no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;emissions to soil no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;emissions to water no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;energy resources: non-renewable, fossil no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;land use no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;material resources: metals no LT;monetary impact value no LT;EUR 2018
+EPS 2020d no LT;total no LT;monetary impact value no LT;EUR 2018
+EPS 2020d;emissions to air;monetary impact value;EUR 2018
+EPS 2020d;emissions to soil;monetary impact value;EUR 2018
+EPS 2020d;emissions to water;monetary impact value;EUR 2018
+EPS 2020d;energy resources: non-renewable, fossil;monetary impact value;EUR 2018
+EPS 2020d;land use;monetary impact value;EUR 2018
+EPS 2020d;material resources: metals;monetary impact value;EUR 2018
+EPS 2020d;total;monetary impact value;EUR 2018
+IMPACT World+ v2.1, footprint version;climate change;carbon footprint;kg CO2-Eq
+IMPACT World+ v2.1, footprint version;ecosystem quality;remaining ecosystem quality damage;PDF.m2.yr
+IMPACT World+ v2.1, footprint version;energy resources: non-renewable;fossil and nuclear energy use;MJ deprived
+IMPACT World+ v2.1, footprint version;human health;remaining human health damage;DALYs
+IMPACT World+ v2.1, footprint version;water use;water scarcity footprint;m3 world Eq deprived
+Inventory results and indicators;emissions to air;total particulate matter;kg
+Inventory results and indicators;emissions to air;particulate matter, < 2.5 um;kg
+Inventory results and indicators;emissions to air;particulate matter, >2.5 um and <10;kg
+Inventory results and indicators;emissions to air;particulate matter >10 um;kg
+Inventory results and indicators;emissions to air;carbon dioxide, fossil and land use;kg
+Inventory results and indicators;emissions to air;total carbon monoxide;kg
+Inventory results and indicators;emissions to air;total methane;kg
+Inventory results and indicators;emissions to air;carbon, non-fossil, fixed;kg
+Inventory results and indicators;emissions to air;NMVOCs;kg
+Inventory results and indicators;emissions to air;N2O;kg
+Inventory results and indicators;emissions to air;NOx;kg
+Inventory results and indicators;emissions to air;SOx;kg
+Inventory results and indicators;emissions to air;ammonia;kg
+Inventory results and indicators;emissions to air;lead;kg
+Inventory results and indicators;emissions to air;photochemical oxidants (including ozone);kg
+Inventory results and indicators;emissions to air;HAPs;kg
+Inventory results and indicators;emissions to air;total radioactive emissions;kg
+Inventory results and indicators;emissions to water;total radioactive emissions;kg
+Inventory results and indicators;resources;total surface occupation;m2a
+Inventory results and indicators;resources;land occupation;m2a
+Inventory results and indicators;resources;land occupation by flooding;m2a
+Inventory results and indicators;resources;seabed occupation;m2a
+Inventory results and indicators;resources;total water extraction;m3
+Inventory results and indicators;resources;total freshwater extraction;m3
+Inventory results and indicators;resources;freshwater extraction, surface water;m3
+Inventory results and indicators;resources;freshwater extraction, groundwater;m3
+Inventory results and indicators;resources;water extraction, saltwater;m3
+Inventory results and indicators;resources;water extraction, undefined;m3
+Inventory results and indicators;waste disposal;total area for dump sites;m2
+Inventory results and indicators;waste disposal;total volume of underground deposits;m3
+Inventory results and indicators;waste disposal;total volume of radioactive waste;m3
+Inventory results and indicators;waste disposal;total mass of waste;kg
+Inventory results and indicators;waste disposal;total mass for dump sites;kg
+Inventory results and indicators;waste disposal;total mass for underground deposits;kg
+Inventory results and indicators;waste disposal;total mass of radioactive waste;kg
+IPCC 2013 no LT;climate change no LT;global temperature change potential (GTP100) no LT;kg CO2-Eq
+IPCC 2013 no LT;climate change no LT;global temperature change potential (GTP20) no LT;kg CO2-Eq
+IPCC 2013 no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2013 no LT;climate change no LT;global warming potential (GWP20) no LT;kg CO2-Eq
+IPCC 2013;climate change;global temperature change potential (GTP100);kg CO2-Eq
+IPCC 2013;climate change;global temperature change potential (GTP20);kg CO2-Eq
+IPCC 2013;climate change;global warming potential (GWP100);kg CO2-Eq
+IPCC 2013;climate change;global warming potential (GWP20);kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2) no LT;climate change: biogenic (incl. CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2) no LT;climate change: biogenic emissions (incl. CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2) no LT;climate change: biogenic removals (incl. CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2) no LT;climate change: total (incl. biogenic CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2) no LT;climate change: total (incl. biogenic CO2, incl. SLCFs) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2);climate change: biogenic (incl. CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2);climate change: biogenic emissions (incl. CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2);climate change: biogenic removals (incl. CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2);climate change: total (incl. biogenic CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021 (incl. biogenic CO2);climate change: total (incl. biogenic CO2, incl. SLCFs);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021 no LT;climate change: aircraft emissions no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: biogenic (excl. CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: direct land use change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: emissions from direct land use change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: fossil no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: fossil emissions (excl. aircraft emissions) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: removals from direct land use change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2) no LT;global warming potential (GWP500) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2) no LT;global warming potential (GWP20) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2) no LT;global temperature change potential (GTP50) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2) no LT;global temperature change potential (GTP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: total (excl. biogenic CO2, incl. SLCFs) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: biogenic (excl. CO2, incl. SLCFs) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: fossil (excl. biogenic CO2, incl. SLCFs) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021 no LT;climate change: direct land use change (incl. SLCFs) no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+IPCC 2021;climate change: aircraft emissions;global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: biogenic (excl. CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: direct land use change;global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: emissions from direct land use change;global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: fossil;global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: fossil emissions (excl. aircraft emissions);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: removals from direct land use change;global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2);global warming potential (GWP500);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2);global warming potential (GWP20);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2);global temperature change potential (GTP50);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2);global temperature change potential (GTP100);kg CO2-Eq
+IPCC 2021;climate change: total (excl. biogenic CO2, incl. SLCFs);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: biogenic (excl. CO2, incl. SLCFs);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: fossil (excl. biogenic CO2, incl. SLCFs);global warming potential (GWP100);kg CO2-Eq
+IPCC 2021;climate change: direct land use change (incl. SLCFs);global warming potential (GWP100);kg CO2-Eq
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;acidification: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;climate change: freshwater ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;climate change: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;ecotoxicity: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;ecotoxicity: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;ecotoxicity: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;eutrophication: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;eutrophication: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;land use no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;photochemical oxidant formation: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;water use: aquatic ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;ecosystem quality no LT;water use: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;climate change: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;human toxicity: carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;human toxicity: non-carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;ionising radiation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;ozone depletion no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;particulate matter formation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;photochemical oxidant formation: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;human health no LT;water use: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;natural resources no LT;energy resources: non-renewable, fossil no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (E) no LT;natural resources no LT;material resources: metals/minerals no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (E) no LT;total: ecosystem quality no LT;ecosystem quality no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (E) no LT;total: human health no LT;human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (E) no LT;total: natural resources no LT;natural resources no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;acidification: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;climate change: freshwater ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;climate change: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;ecotoxicity: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;ecotoxicity: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;ecotoxicity: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;eutrophication: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;eutrophication: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;land use;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;photochemical oxidant formation: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;water use: aquatic ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (E);ecosystem quality;water use: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (E);human health;climate change: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;human toxicity: carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;human toxicity: non-carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;ionising radiation;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;ozone depletion;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;particulate matter formation;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;photochemical oxidant formation: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (E);human health;water use: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (E);natural resources;energy resources: non-renewable, fossil;USD 2013
+ReCiPe 2016 v1.03, endpoint (E);natural resources;material resources: metals/minerals;USD 2013
+ReCiPe 2016 v1.03, endpoint (E);total: ecosystem quality;ecosystem quality;species.yr
+ReCiPe 2016 v1.03, endpoint (E);total: human health;human health;DALYs
+ReCiPe 2016 v1.03, endpoint (E);total: natural resources;natural resources;USD 2013
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;acidification: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;climate change: freshwater ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;climate change: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;ecotoxicity: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;ecotoxicity: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;ecotoxicity: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;eutrophication: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;eutrophication: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;land use no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;photochemical oxidant formation: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;water use: aquatic ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;ecosystem quality no LT;water use: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;climate change: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;human toxicity: carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;human toxicity: non-carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;ionising radiation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;ozone depletion no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;particulate matter formation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;photochemical oxidant formation: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;human health no LT;water use: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;natural resources no LT;energy resources: non-renewable, fossil no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (H) no LT;natural resources no LT;material resources: metals/minerals no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (H) no LT;total: ecosystem quality no LT;ecosystem quality no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (H) no LT;total: human health no LT;human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (H) no LT;total: natural resources no LT;natural resources no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;acidification: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;climate change: freshwater ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;climate change: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;ecotoxicity: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;ecotoxicity: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;ecotoxicity: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;eutrophication: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;eutrophication: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;land use;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;photochemical oxidant formation: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;water use: aquatic ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (H);ecosystem quality;water use: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (H);human health;climate change: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;human toxicity: carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;human toxicity: non-carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;ionising radiation;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;ozone depletion;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;particulate matter formation;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;photochemical oxidant formation: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (H);human health;water use: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (H);natural resources;energy resources: non-renewable, fossil;USD 2013
+ReCiPe 2016 v1.03, endpoint (H);natural resources;material resources: metals/minerals;USD 2013
+ReCiPe 2016 v1.03, endpoint (H);total: ecosystem quality;ecosystem quality;species.yr
+ReCiPe 2016 v1.03, endpoint (H);total: human health;human health;DALYs
+ReCiPe 2016 v1.03, endpoint (H);total: natural resources;natural resources;USD 2013
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;acidification: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;climate change: freshwater ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;climate change: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;ecotoxicity: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;ecotoxicity: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;ecotoxicity: terrestrial no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;eutrophication: freshwater no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;eutrophication: marine no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;land use no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;photochemical oxidant formation: terrestrial ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;ecosystem quality no LT;water use: aquatic ecosystems no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;climate change: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;human toxicity: carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;human toxicity: non-carcinogenic no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;ionising radiation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;ozone depletion no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;particulate matter formation no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;photochemical oxidant formation: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;human health no LT;water use: human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;natural resources no LT;energy resources: non-renewable, fossil no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (I) no LT;natural resources no LT;material resources: metals/minerals no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (I) no LT;total: ecosystem quality no LT;ecosystem quality no LT;species.yr
+ReCiPe 2016 v1.03, endpoint (I) no LT;total: human health no LT;human health no LT;DALYs
+ReCiPe 2016 v1.03, endpoint (I) no LT;total: natural resources no LT;natural resources no LT;USD 2013
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;acidification: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;climate change: freshwater ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;climate change: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;ecotoxicity: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;ecotoxicity: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;ecotoxicity: terrestrial;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;eutrophication: freshwater;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;eutrophication: marine;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;land use;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;photochemical oxidant formation: terrestrial ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (I);ecosystem quality;water use: aquatic ecosystems;species.yr
+ReCiPe 2016 v1.03, endpoint (I);human health;climate change: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;human toxicity: carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;human toxicity: non-carcinogenic;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;ionising radiation;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;ozone depletion;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;particulate matter formation;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;photochemical oxidant formation: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (I);human health;water use: human health;DALYs
+ReCiPe 2016 v1.03, endpoint (I);natural resources;energy resources: non-renewable, fossil;USD 2013
+ReCiPe 2016 v1.03, endpoint (I);natural resources;material resources: metals/minerals;USD 2013
+ReCiPe 2016 v1.03, endpoint (I);total: ecosystem quality;ecosystem quality;species.yr
+ReCiPe 2016 v1.03, endpoint (I);total: human health;human health;DALYs
+ReCiPe 2016 v1.03, endpoint (I);total: natural resources;natural resources;USD 2013
+ReCiPe 2016 v1.03, midpoint (E) no LT;acidification: terrestrial no LT;terrestrial acidification potential (TAP) no LT;kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;climate change no LT;global warming potential (GWP1000) no LT;kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;ecotoxicity: freshwater no LT;freshwater ecotoxicity potential (FETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;ecotoxicity: marine no LT;marine ecotoxicity potential (METP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;ecotoxicity: terrestrial no LT;terrestrial ecotoxicity potential (TETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;energy resources: non-renewable, fossil no LT;fossil fuel potential (FFP) no LT;kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;eutrophication: freshwater no LT;freshwater eutrophication potential (FEP) no LT;kg P-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;eutrophication: marine no LT;marine eutrophication potential (MEP) no LT;kg N-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;human toxicity: carcinogenic no LT;human toxicity potential (HTPc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;human toxicity: non-carcinogenic no LT;human toxicity potential (HTPnc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;ionising radiation no LT;ionising radiation potential (IRP) no LT;kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;land use no LT;agricultural land occupation (LOP) no LT;m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;material resources: metals/minerals no LT;surplus ore potential (SOP) no LT;kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;ozone depletion no LT;ozone depletion potential (ODPinfinite) no LT;kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;particulate matter formation no LT;particulate matter formation potential (PMFP) no LT;kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;photochemical oxidant formation: human health no LT;photochemical oxidant formation potential: humans (HOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;photochemical oxidant formation: terrestrial ecosystems no LT;photochemical oxidant formation potential: ecosystems (EOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (E) no LT;water use no LT;water consumption potential (WCP) no LT;m3
+ReCiPe 2016 v1.03, midpoint (E);acidification: terrestrial;terrestrial acidification potential (TAP);kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (E);climate change;global warming potential (GWP1000);kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (E);ecotoxicity: freshwater;freshwater ecotoxicity potential (FETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E);ecotoxicity: marine;marine ecotoxicity potential (METP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E);ecotoxicity: terrestrial;terrestrial ecotoxicity potential (TETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E);energy resources: non-renewable, fossil;fossil fuel potential (FFP);kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (E);eutrophication: freshwater;freshwater eutrophication potential (FEP);kg P-Eq
+ReCiPe 2016 v1.03, midpoint (E);eutrophication: marine;marine eutrophication potential (MEP);kg N-Eq
+ReCiPe 2016 v1.03, midpoint (E);human toxicity: carcinogenic;human toxicity potential (HTPc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E);human toxicity: non-carcinogenic;human toxicity potential (HTPnc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (E);ionising radiation;ionising radiation potential (IRP);kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (E);land use;agricultural land occupation (LOP);m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (E);material resources: metals/minerals;surplus ore potential (SOP);kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (E);ozone depletion;ozone depletion potential (ODPinfinite);kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (E);particulate matter formation;particulate matter formation potential (PMFP);kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (E);photochemical oxidant formation: human health;photochemical oxidant formation potential: humans (HOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (E);photochemical oxidant formation: terrestrial ecosystems;photochemical oxidant formation potential: ecosystems (EOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (E);water use;water consumption potential (WCP);m3
+ReCiPe 2016 v1.03, midpoint (H) no LT;acidification: terrestrial no LT;terrestrial acidification potential (TAP) no LT;kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;ecotoxicity: freshwater no LT;freshwater ecotoxicity potential (FETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;ecotoxicity: marine no LT;marine ecotoxicity potential (METP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;ecotoxicity: terrestrial no LT;terrestrial ecotoxicity potential (TETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;energy resources: non-renewable, fossil no LT;fossil fuel potential (FFP) no LT;kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;eutrophication: freshwater no LT;freshwater eutrophication potential (FEP) no LT;kg P-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;eutrophication: marine no LT;marine eutrophication potential (MEP) no LT;kg N-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;human toxicity: carcinogenic no LT;human toxicity potential (HTPc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;human toxicity: non-carcinogenic no LT;human toxicity potential (HTPnc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;ionising radiation no LT;ionising radiation potential (IRP) no LT;kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;land use no LT;agricultural land occupation (LOP) no LT;m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;material resources: metals/minerals no LT;surplus ore potential (SOP) no LT;kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;ozone depletion no LT;ozone depletion potential (ODPinfinite) no LT;kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;particulate matter formation no LT;particulate matter formation potential (PMFP) no LT;kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;photochemical oxidant formation: human health no LT;photochemical oxidant formation potential: humans (HOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;photochemical oxidant formation: terrestrial ecosystems no LT;photochemical oxidant formation potential: ecosystems (EOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (H) no LT;water use no LT;water consumption potential (WCP) no LT;m3
+ReCiPe 2016 v1.03, midpoint (H);acidification: terrestrial;terrestrial acidification potential (TAP);kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (H);climate change;global warming potential (GWP100);kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (H);ecotoxicity: freshwater;freshwater ecotoxicity potential (FETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H);ecotoxicity: marine;marine ecotoxicity potential (METP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H);ecotoxicity: terrestrial;terrestrial ecotoxicity potential (TETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H);energy resources: non-renewable, fossil;fossil fuel potential (FFP);kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (H);eutrophication: freshwater;freshwater eutrophication potential (FEP);kg P-Eq
+ReCiPe 2016 v1.03, midpoint (H);eutrophication: marine;marine eutrophication potential (MEP);kg N-Eq
+ReCiPe 2016 v1.03, midpoint (H);human toxicity: carcinogenic;human toxicity potential (HTPc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H);human toxicity: non-carcinogenic;human toxicity potential (HTPnc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (H);ionising radiation;ionising radiation potential (IRP);kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (H);land use;agricultural land occupation (LOP);m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (H);material resources: metals/minerals;surplus ore potential (SOP);kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (H);ozone depletion;ozone depletion potential (ODPinfinite);kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (H);particulate matter formation;particulate matter formation potential (PMFP);kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (H);photochemical oxidant formation: human health;photochemical oxidant formation potential: humans (HOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (H);photochemical oxidant formation: terrestrial ecosystems;photochemical oxidant formation potential: ecosystems (EOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (H);water use;water consumption potential (WCP);m3
+ReCiPe 2016 v1.03, midpoint (I) no LT;acidification: terrestrial no LT;terrestrial acidification potential (TAP) no LT;kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;climate change no LT;global warming potential (GWP20) no LT;kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;ecotoxicity: freshwater no LT;freshwater ecotoxicity potential (FETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;ecotoxicity: marine no LT;marine ecotoxicity potential (METP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;ecotoxicity: terrestrial no LT;terrestrial ecotoxicity potential (TETP) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;energy resources: non-renewable, fossil no LT;fossil fuel potential (FFP) no LT;kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;eutrophication: freshwater no LT;freshwater eutrophication potential (FEP) no LT;kg P-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;eutrophication: marine no LT;marine eutrophication potential (MEP) no LT;kg N-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;human toxicity: carcinogenic no LT;human toxicity potential (HTPc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;human toxicity: non-carcinogenic no LT;human toxicity potential (HTPnc) no LT;kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;ionising radiation no LT;ionising radiation potential (IRP) no LT;kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;land use no LT;agricultural land occupation (LOP) no LT;m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;material resources: metals/minerals no LT;surplus ore potential (SOP) no LT;kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;ozone depletion no LT;ozone depletion potential (ODPinfinite) no LT;kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;particulate matter formation no LT;particulate matter formation potential (PMFP) no LT;kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;photochemical oxidant formation: human health no LT;photochemical oxidant formation potential: humans (HOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;photochemical oxidant formation: terrestrial ecosystems no LT;photochemical oxidant formation potential: ecosystems (EOFP) no LT;kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (I) no LT;water use no LT;water consumption potential (WCP) no LT;m3
+ReCiPe 2016 v1.03, midpoint (I);acidification: terrestrial;terrestrial acidification potential (TAP);kg SO2-Eq
+ReCiPe 2016 v1.03, midpoint (I);climate change;global warming potential (GWP20);kg CO2-Eq
+ReCiPe 2016 v1.03, midpoint (I);ecotoxicity: freshwater;freshwater ecotoxicity potential (FETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I);ecotoxicity: marine;marine ecotoxicity potential (METP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I);ecotoxicity: terrestrial;terrestrial ecotoxicity potential (TETP);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I);energy resources: non-renewable, fossil;fossil fuel potential (FFP);kg oil-Eq
+ReCiPe 2016 v1.03, midpoint (I);eutrophication: freshwater;freshwater eutrophication potential (FEP);kg P-Eq
+ReCiPe 2016 v1.03, midpoint (I);eutrophication: marine;marine eutrophication potential (MEP);kg N-Eq
+ReCiPe 2016 v1.03, midpoint (I);human toxicity: carcinogenic;human toxicity potential (HTPc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I);human toxicity: non-carcinogenic;human toxicity potential (HTPnc);kg 1,4-DCB-Eq
+ReCiPe 2016 v1.03, midpoint (I);ionising radiation;ionising radiation potential (IRP);kBq Co-60-Eq
+ReCiPe 2016 v1.03, midpoint (I);land use;agricultural land occupation (LOP);m2*a crop-Eq
+ReCiPe 2016 v1.03, midpoint (I);material resources: metals/minerals;surplus ore potential (SOP);kg Cu-Eq
+ReCiPe 2016 v1.03, midpoint (I);ozone depletion;ozone depletion potential (ODPinfinite);kg CFC-11-Eq
+ReCiPe 2016 v1.03, midpoint (I);particulate matter formation;particulate matter formation potential (PMFP);kg PM2.5-Eq
+ReCiPe 2016 v1.03, midpoint (I);photochemical oxidant formation: human health;photochemical oxidant formation potential: humans (HOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (I);photochemical oxidant formation: terrestrial ecosystems;photochemical oxidant formation potential: ecosystems (EOFP);kg NOx-Eq
+ReCiPe 2016 v1.03, midpoint (I);water use;water consumption potential (WCP);m3
+TRACI v2.1 no LT;acidification no LT;acidification potential (AP) no LT;kg SO2-Eq
+TRACI v2.1 no LT;climate change no LT;global warming potential (GWP100) no LT;kg CO2-Eq
+TRACI v2.1 no LT;ecotoxicity: freshwater no LT;ecotoxicity: freshwater no LT;CTUe
+TRACI v2.1 no LT;eutrophication no LT;eutrophication potential no LT;kg N-Eq
+TRACI v2.1 no LT;human toxicity: carcinogenic no LT;human toxicity: carcinogenic no LT;CTUh
+TRACI v2.1 no LT;human toxicity: non-carcinogenic no LT;human toxicity: non-carcinogenic no LT;CTUh
+TRACI v2.1 no LT;ozone depletion no LT;ozone depletion potential (ODP) no LT;kg CFC-11-Eq
+TRACI v2.1 no LT;particulate matter formation no LT;particulate matter formation potential (PMFP) no LT;kg PM2.5-Eq
+TRACI v2.1 no LT;photochemical oxidant formation no LT;maximum incremental reactivity (MIR) no LT;kg O3-Eq
+TRACI v2.1;acidification;acidification potential (AP);kg SO2-Eq
+TRACI v2.1;climate change;global warming potential (GWP100);kg CO2-Eq
+TRACI v2.1;ecotoxicity: freshwater;ecotoxicity: freshwater;CTUe
+TRACI v2.1;eutrophication;eutrophication potential;kg N-Eq
+TRACI v2.1;human toxicity: carcinogenic;human toxicity: carcinogenic;CTUh
+TRACI v2.1;human toxicity: non-carcinogenic;human toxicity: non-carcinogenic;CTUh
+TRACI v2.1;ozone depletion;ozone depletion potential (ODP);kg CFC-11-Eq
+TRACI v2.1;particulate matter formation;particulate matter formation potential (PMFP);kg PM2.5-Eq
+TRACI v2.1;photochemical oxidant formation;maximum incremental reactivity (MIR);kg O3-Eq
+USEtox v2.13, endpoint no LT;ecosystem quality no LT;ecotoxicity: freshwater no LT;PDF.m3.yr
+USEtox v2.13, endpoint no LT;human health no LT;human toxicity: carcinogenic no LT;DALYs
+USEtox v2.13, endpoint no LT;human health no LT;human toxicity: non-carcinogenic no LT;DALYs
+USEtox v2.13, endpoint;ecosystem quality;ecotoxicity: freshwater;PDF.m3.yr
+USEtox v2.13, endpoint;human health;human toxicity: carcinogenic;DALYs
+USEtox v2.13, endpoint;human health;human toxicity: non-carcinogenic;DALYs
+USEtox v2.13, midpoint no LT;ecotoxicity: freshwater no LT;comparative toxic unit for ecosystems (CTUe) no LT;CTUe
+USEtox v2.13, midpoint no LT;human toxicity: carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+USEtox v2.13, midpoint no LT;human toxicity: non-carcinogenic no LT;comparative toxic unit for human (CTUh) no LT;CTUh
+USEtox v2.13, midpoint;ecotoxicity: freshwater;comparative toxic unit for ecosystems (CTUe);CTUe
+USEtox v2.13, midpoint;human toxicity: carcinogenic;comparative toxic unit for human (CTUh);CTUh
+USEtox v2.13, midpoint;human toxicity: non-carcinogenic;comparative toxic unit for human (CTUh);CTUh
diff --git a/pyproject.toml b/pyproject.toml
index 62ecbf1..701b146 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,19 +24,28 @@ classifiers = [
 ]
 requires-python = ">=3.11,<3.12"
 dependencies = [
+    "apparun==0.3.7",
     "click<=8.1.8",
     "numpy==1.26.4",
-    "pandas==2.0.0",
-    "brightway2==2.4.7",
-    "bw2io==0.8.12",
-    "lca_algebraic==1.0.0",
+    "pyarrow==22.0.0",
+    "pandas==2.3.3",
+    "brightway25==1.1.0",
+    "bw-migrations==0.2",
+    "bw-processing==1.0",
+    "bw-simapro-csv==0.4.3",
+    "bw2analyzer==0.11.8",
+    "bw2calc==2.2.1",
+    "bw2data==4.5.1",
+    "bw2io==0.9.11",
+    "bw2parameters==1.1.0",
+    "lca-algebraic-bw25==1.3.1",
     "fastapi",
     "uvicorn[standard]",
     "omegaconf",
     "pydantic",
     "scipy",
-    "matplotlib==3.10.0",
-    "seaborn==0.12.2",
+    "matplotlib",
+    "seaborn",
     "plotly",
     "aenum",
     "kaleido",
diff --git a/requirements.txt b/requirements.txt
index 724a69e..06542b9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,8 +1,17 @@
-numpy==1.26.4
-pandas==2.0.0
-brightway2==2.4.7
-bw2io==0.8.12
-lca_algebraic==1.0.0
+apparun==0.3.7
+numpy
+pyarrow
+pandas
+brightway25==1.1.0
+bw-migrations==0.2
+bw-processing==1.0
+bw-simapro-csv==0.4.3
+bw2analyzer==0.11.8
+bw2calc==2.2.1
+bw2data==4.5.1
+bw2io==0.9.11
+bw2parameters==1.1.0
+lca-algebraic-bw25==1.3.1
 fastapi
 uvicorn[standard]
 flake8
@@ -12,15 +21,14 @@ typer==0.15.1
 omegaconf
 pydantic
 scipy
-matplotlib==3.10.0
-seaborn==0.12.2
+matplotlib
+seaborn
 pytest
 plotly
 aenum
 kaleido
 tqdm
 ruamel.yaml
-apparun==0.3.7
 ipython>=7.6.0,<=8.34.0
 pre-commit
 hatchling
diff --git a/samples/conf/appalca_conf_with_ei.yaml b/samples/conf/appalca_conf_with_ei.yaml
new file mode 100644
index 0000000..7fa02a9
--- /dev/null
+++ b/samples/conf/appalca_conf_with_ei.yaml
@@ -0,0 +1,9 @@
+project_name: 'sample_project_with_ei_bw25'
+replace_bg: False
+databases:
+  foreground:
+    name: user_database
+    path: './samples/datasets/user_database/nvidia_ai_gpu'
+  ecoinvent:
+    version: "3.11"
+    system_model: "cutoff"
diff --git a/samples/conf/appalca_conf.yaml b/samples/conf/appalca_conf_wo_ei.yaml
similarity index 64%
rename from samples/conf/appalca_conf.yaml
rename to samples/conf/appalca_conf_wo_ei.yaml
index 9bd3939..de718be 100644
--- a/samples/conf/appalca_conf.yaml
+++ b/samples/conf/appalca_conf_wo_ei.yaml
@@ -1,4 +1,5 @@
-project_name: 'sample_project'
+project_name: 'sample_project_wo_ei_bw25'
+replace_bg: False
 databases:
   foreground:
     name: user_database
diff --git a/samples/datasets/user_database/nvidia_ai_gpu/ai_use_phase.yaml b/samples/datasets/user_database/nvidia_ai_gpu/ai_use_phase.yaml
index 0bbdfb6..6a39980 100644
--- a/samples/datasets/user_database/nvidia_ai_gpu/ai_use_phase.yaml
+++ b/samples/datasets/user_database/nvidia_ai_gpu/ai_use_phase.yaml
@@ -15,5 +15,5 @@ exchanges:
   type: technosphere
   amount: "inference * energy_per_inference / 1000000"
   input:
-    uuid: "electricity_no_ei"
+    uuid: "electricity_wo_ei"
     database: user_database
diff --git a/samples/datasets/user_database/nvidia_ai_gpu/electricity.yaml b/samples/datasets/user_database/nvidia_ai_gpu/electricity_with_ei.yaml
similarity index 83%
rename from samples/datasets/user_database/nvidia_ai_gpu/electricity.yaml
rename to samples/datasets/user_database/nvidia_ai_gpu/electricity_with_ei.yaml
index 134801b..6e260bd 100644
--- a/samples/datasets/user_database/nvidia_ai_gpu/electricity.yaml
+++ b/samples/datasets/user_database/nvidia_ai_gpu/electricity_with_ei.yaml
@@ -1,4 +1,4 @@
-name: electricity
+name: electricity_with_ei
 location: GLO
 type: process
 unit: kwh
@@ -18,9 +18,9 @@ exchanges:
       input:
         name: "market (group )?for electricity, low voltage"
         location: "RER"
-        database: ecoinvent_3.9.1_cutoff
+        database: ecoinvent-3.11-cutoff
     - name: FR
       input:
         name: "market (group )?for electricity, low voltage"
         location: "FR"
-        database: ecoinvent_3.9.1_cutoff
\ No newline at end of file
+        database: ecoinvent-3.11-cutoff
\ No newline at end of file
diff --git a/tests/data/cmd_build/foreground_datasets/electricity_no_ei.yaml b/samples/datasets/user_database/nvidia_ai_gpu/electricity_wo_ei.yaml
similarity index 90%
rename from tests/data/cmd_build/foreground_datasets/electricity_no_ei.yaml
rename to samples/datasets/user_database/nvidia_ai_gpu/electricity_wo_ei.yaml
index 916ef97..c7a655a 100644
--- a/tests/data/cmd_build/foreground_datasets/electricity_no_ei.yaml
+++ b/samples/datasets/user_database/nvidia_ai_gpu/electricity_wo_ei.yaml
@@ -1,4 +1,4 @@
-name: electricity_no_ei
+name: electricity_wo_ei
 location: GLO
 type: process
 unit: kwh
@@ -14,12 +14,12 @@ exchanges:
     name: usage_location
     options:
     - name: EU
-      amount: 0.005
+      amount: 0.207
       input:
         database: impact_proxies
         uuid: "('EF v3.0', 'climate change', 'global warming potential (GWP100)')_technosphere_proxy"
     - name: FR
-      amount: 0.021
+      amount: 0.048
       input:
         database: impact_proxies
         uuid: "('EF v3.0', 'climate change', 'global warming potential (GWP100)')_technosphere_proxy"
\ No newline at end of file
diff --git a/tests/data/appalca_confs/invalids/missing_foreground.yaml b/tests/data/appalca_confs/invalids/missing_foreground.yaml
index 042d84d..90f8cba 100644
--- a/tests/data/appalca_confs/invalids/missing_foreground.yaml
+++ b/tests/data/appalca_confs/invalids/missing_foreground.yaml
@@ -1,5 +1,5 @@
 project_name: 'missing_foreground_test'
 databases:
   ecoinvent:
-    name: ecoinvent_3.9.1_cutoff
-    path: './placeholder'
+    version: "3.11"
+    system_model: cutoff
diff --git a/tests/data/appalca_confs/valids/valid.yaml b/tests/data/appalca_confs/valids/valid.yaml
index 46fc8c5..d97b320 100644
--- a/tests/data/appalca_confs/valids/valid.yaml
+++ b/tests/data/appalca_confs/valids/valid.yaml
@@ -1,8 +1,8 @@
 project_name: 'valid_appa_lca_conf'
 databases:
   ecoinvent:
-    name: ecoinvent_3.9.1_cutoff
-    path: '.'
+    version: "3.11"
+    system_model: cutoff
   foreground:
     name: user_database
     path: '.'
diff --git a/tests/data/cmd_build/appalca_conf.yaml b/tests/data/cmd_build/appalca_conf_wo_ei.yaml
similarity index 53%
rename from tests/data/cmd_build/appalca_conf.yaml
rename to tests/data/cmd_build/appalca_conf_wo_ei.yaml
index 01b579c..1a222ac 100644
--- a/tests/data/cmd_build/appalca_conf.yaml
+++ b/tests/data/cmd_build/appalca_conf_wo_ei.yaml
@@ -1,5 +1,6 @@
 project_name: cmd_build_ete_test
+replace_bg: True
 databases:
   foreground:
     name: user_database
-    path: './tests/data/cmd_build/foreground_datasets'
+    path: './tests/data/cmd_build/foreground_datasets'
\ No newline at end of file
diff --git a/tests/data/cmd_build/expected_scores.yaml b/tests/data/cmd_build/expected_scores.yaml
index eb1b181..9418a8c 100644
--- a/tests/data/cmd_build/expected_scores.yaml
+++ b/tests/data/cmd_build/expected_scores.yaml
@@ -1,3 +1,3 @@
-ai_use_phase: 4.8272749055999995
-nvidia_ai_gpu_chip: 13.988936117453397
-nvidia_gpu_chip_manufacturing: 9.161661211853398
+ai_use_phase: 11.0337712128
+nvidia_ai_gpu_chip: 20.195432424653397
+nvidia_gpu_chip_manufacturing: 9.161661211853396
\ No newline at end of file
diff --git a/tests/data/cmd_build/foreground_datasets/ai_use_phase.yaml b/tests/data/cmd_build/foreground_datasets/ai_use_phase.yaml
index 0bbdfb6..6a39980 100644
--- a/tests/data/cmd_build/foreground_datasets/ai_use_phase.yaml
+++ b/tests/data/cmd_build/foreground_datasets/ai_use_phase.yaml
@@ -15,5 +15,5 @@ exchanges:
   type: technosphere
   amount: "inference * energy_per_inference / 1000000"
   input:
-    uuid: "electricity_no_ei"
+    uuid: "electricity_wo_ei"
     database: user_database
diff --git a/samples/datasets/user_database/nvidia_ai_gpu/electricity_no_ei.yaml b/tests/data/cmd_build/foreground_datasets/electricity_wo_ei.yaml
similarity index 90%
rename from samples/datasets/user_database/nvidia_ai_gpu/electricity_no_ei.yaml
rename to tests/data/cmd_build/foreground_datasets/electricity_wo_ei.yaml
index 916ef97..c7a655a 100644
--- a/samples/datasets/user_database/nvidia_ai_gpu/electricity_no_ei.yaml
+++ b/tests/data/cmd_build/foreground_datasets/electricity_wo_ei.yaml
@@ -1,4 +1,4 @@
-name: electricity_no_ei
+name: electricity_wo_ei
 location: GLO
 type: process
 unit: kwh
@@ -14,12 +14,12 @@ exchanges:
     name: usage_location
     options:
     - name: EU
-      amount: 0.005
+      amount: 0.207
       input:
         database: impact_proxies
         uuid: "('EF v3.0', 'climate change', 'global warming potential (GWP100)')_technosphere_proxy"
     - name: FR
-      amount: 0.021
+      amount: 0.048
       input:
         database: impact_proxies
         uuid: "('EF v3.0', 'climate change', 'global warming potential (GWP100)')_technosphere_proxy"
\ No newline at end of file
diff --git a/tests/data/cmd_build/nvidia_ai_gpu_chip_expected.yaml b/tests/data/cmd_build/nvidia_ai_gpu_chip_expected.yaml
index 1d8d74d..3f95f63 100644
--- a/tests/data/cmd_build/nvidia_ai_gpu_chip_expected.yaml
+++ b/tests/data/cmd_build/nvidia_ai_gpu_chip_expected.yaml
@@ -69,67 +69,37 @@ parameters:
 tree:
   name: nvidia_ai_gpu_chip
   models:
-    EFV3_CLIMATE_CHANGE: 12500.0*architecture_Maxwell*(4.6212599075297227e-9*cuda_core
-      + 7.37132179656539e-6) + 0.007241940498277656*architecture_Maxwell*(0.009702834627645097*cuda_core
-      + 1)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
-      + 19.47688243064738) - 106.7778184271516*sqrt(2)/sqrt(0.009702834627645097*cuda_core
-      + 1))) + 12500.0*architecture_Pascal*(4.6891975579761074e-9*cuda_core + 7.808281424221127e-6)
-      + 0.26268825584172803*architecture_Pascal*(0.0060737847877931227*cuda_core +
-      1)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
-      + 21.707425626610416) - 101.14318001667067*sqrt(2)/sqrt(0.0060737847877931227*cuda_core
-      + 1))) + 0.00036525*energy_per_inference*inference_per_day*lifespan*(0.005*usage_location_EU
-      + 0.021*usage_location_FR)
-  direct_impacts:
-    EFV3_CLIMATE_CHANGE: '0.0'
-  scaled_direct_impacts:
-    EFV3_CLIMATE_CHANGE: '0'
+    EFV3_CLIMATE_CHANGE: 1.0*energy_per_inference*inference_per_day*lifespan*(7.560675e-5*usage_location_EU
+      + 1.7532e-5*usage_location_FR) - 12500.0*architecture_Maxwell*(-4.6212599075297227e-9*cuda_core
+      - 7.37132179656539e-6) + 1.90904456522695e-5*architecture_Maxwell*(0.1889809692866578*cuda_core
+      + 19.47688243064738)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
+      + 19.47688243064738) - 471.2385*sqrt(2)/sqrt(0.1889809692866578*cuda_core +
+      19.47688243064738))) - 12500.0*architecture_Pascal*(-4.6891975579761074e-9*cuda_core
+      - 7.808281424221127e-6) + 0.00055747322513291*architecture_Pascal*(0.13184623155305694*cuda_core
+      + 21.707425626610416)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
+      + 21.707425626610416) - 471.2385*sqrt(2)/sqrt(0.13184623155305694*cuda_core
+      + 21.707425626610416)))
   children:
   - name: ai_use_phase
     models:
-      EFV3_CLIMATE_CHANGE: 0.00036525*energy_per_inference*inference_per_day*lifespan*(0.005*usage_location_EU
-        + 0.021*usage_location_FR)
-    direct_impacts:
-      EFV3_CLIMATE_CHANGE: 0.00036525*energy_per_inference*inference_per_day*lifespan*(0.005*usage_location_EU
-        + 0.021*usage_location_FR)
-    scaled_direct_impacts:
-      EFV3_CLIMATE_CHANGE: 0.00036525*energy_per_inference*inference_per_day*lifespan*(0.005*usage_location_EU
-        + 0.021*usage_location_FR)
+      EFV3_CLIMATE_CHANGE: 1.0*energy_per_inference*inference_per_day*lifespan*(7.560675e-5*usage_location_EU
+        + 1.7532e-5*usage_location_FR)
     children: []
     properties: {}
     amount: '1.0'
   - name: nvidia_gpu_chip_manufacturing
     models:
-      EFV3_CLIMATE_CHANGE: 12500.0*architecture_Maxwell*(4.6212599075297227e-9*cuda_core
-        + 7.37132179656539e-6) + 0.007241940498277656*architecture_Maxwell*(0.009702834627645097*cuda_core
-        + 1)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
-        + 19.47688243064738) - 106.7778184271516*sqrt(2)/sqrt(0.009702834627645097*cuda_core
-        + 1))) + 12500.0*architecture_Pascal*(4.6891975579761074e-9*cuda_core + 7.808281424221127e-6)
-        + 0.26268825584172803*architecture_Pascal*(0.0060737847877931227*cuda_core
-        + 1)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
-        + 21.707425626610416) - 101.14318001667067*sqrt(2)/sqrt(0.0060737847877931227*cuda_core
-        + 1)))
-    direct_impacts:
-      EFV3_CLIMATE_CHANGE: 12500.0*architecture_Maxwell*(4.6212599075297227e-9*cuda_core
-        + 7.37132179656539e-6) + 0.007241940498277656*architecture_Maxwell*(0.009702834627645097*cuda_core
-        + 1)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
-        + 19.47688243064738) - 106.7778184271516*sqrt(2)/sqrt(0.009702834627645097*cuda_core
-        + 1))) + 12500.0*architecture_Pascal*(4.6891975579761074e-9*cuda_core + 7.808281424221127e-6)
-        + 0.26268825584172803*architecture_Pascal*(0.0060737847877931227*cuda_core
-        + 1)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
-        + 21.707425626610416) - 101.14318001667067*sqrt(2)/sqrt(0.0060737847877931227*cuda_core
-        + 1)))
-    scaled_direct_impacts:
-      EFV3_CLIMATE_CHANGE: 12500.0*architecture_Maxwell*(4.6212599075297227e-9*cuda_core
-        + 7.37132179656539e-6) + 0.007241940498277656*architecture_Maxwell*(0.009702834627645097*cuda_core
-        + 1)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
-        + 19.47688243064738) - 106.7778184271516*sqrt(2)/sqrt(0.009702834627645097*cuda_core
-        + 1))) + 12500.0*architecture_Pascal*(4.6891975579761074e-9*cuda_core + 7.808281424221127e-6)
-        + 0.26268825584172803*architecture_Pascal*(0.0060737847877931227*cuda_core
-        + 1)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
-        + 21.707425626610416) - 101.14318001667067*sqrt(2)/sqrt(0.0060737847877931227*cuda_core
-        + 1)))
+      EFV3_CLIMATE_CHANGE: -12500.0*architecture_Maxwell*(-4.6212599075297227e-9*cuda_core
+        - 7.37132179656539e-6) + 1.90904456522695e-5*architecture_Maxwell*(0.1889809692866578*cuda_core
+        + 19.47688243064738)**2/((1 - 0.9980542072708582*exp(-1.889809692866578e-5*cuda_core))**2*(70685.775/(0.1889809692866578*cuda_core
+        + 19.47688243064738) - 471.2385*sqrt(2)/sqrt(0.1889809692866578*cuda_core
+        + 19.47688243064738))) - 12500.0*architecture_Pascal*(-4.6891975579761074e-9*cuda_core
+        - 7.808281424221127e-6) + 0.00055747322513291*architecture_Pascal*(0.13184623155305694*cuda_core
+        + 21.707425626610416)**2/((1 - 0.98920497620445418*exp(-6.5923115776528471e-5*cuda_core))**2*(70685.775/(0.13184623155305694*cuda_core
+        + 21.707425626610416) - 471.2385*sqrt(2)/sqrt(0.13184623155305694*cuda_core
+        + 21.707425626610416)))
     children: []
     properties: {}
     amount: '1.0'
   properties: {}
-  amount: '1.0'
+  amount: '1.0'
\ No newline at end of file
diff --git a/tests/data/eco_invent/invalids/incomplete_datasets/incomplete_dataset.spold b/tests/data/eco_invent/invalids/incomplete_datasets/incomplete_dataset.spold
deleted file mode 100644
index af8d83d..0000000
--- a/tests/data/eco_invent/invalids/incomplete_datasets/incomplete_dataset.spold
+++ /dev/null
@@ -1,5 +0,0 @@
-<?xml version='1.0' encoding='UTF-8'?>
-<ecoSpold xmlns="http://www.EcoInvent.org/EcoSpold02" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.EcoInvent.org/EcoSpold02 ../../schemas/datasets/EcoSpold02.xsd http://www.EcoInvent.org/UsedUserMasterData ../../schemas/datasets/EcoSpold02UserMasterData.xsd">
-  <childActivityDataset>
-  </childActivityDataset>
-</ecoSpold>
diff --git a/tests/data/eco_invent/invalids/invalid_datasets/empty_dataset.spold b/tests/data/eco_invent/invalids/invalid_datasets/empty_dataset.spold
deleted file mode 100644
index e69de29..0000000
diff --git a/tests/end_to_end/test_cmd_build.py b/tests/end_to_end/test_cmd_build.py
index 8979511..4ee9d70 100644
--- a/tests/end_to_end/test_cmd_build.py
+++ b/tests/end_to_end/test_cmd_build.py
@@ -16,7 +16,7 @@
 
 
 def test_build_command():
-    appaconf_file = os.path.join(DATA_DIR, "cmd_build", "appalca_conf.yaml")
+    appaconf_file = os.path.join(DATA_DIR, "cmd_build", "appalca_conf_wo_ei.yaml")
     conf_file = os.path.join(DATA_DIR, "cmd_build", "nvidia_ai_gpu_chip_lca_conf.yaml")
     expected_file = os.path.join(
         DATA_DIR, "cmd_build", "nvidia_ai_gpu_chip_expected.yaml"
diff --git a/tests/functional_db/test_ecoinvent.py b/tests/functional_db/test_ecoinvent.py
index cf6e301..7ba58f8 100644
--- a/tests/functional_db/test_ecoinvent.py
+++ b/tests/functional_db/test_ecoinvent.py
@@ -4,67 +4,52 @@
 import os
 
 import pytest
+from requests import HTTPError
 
 from appabuild.database.databases import EcoInventDatabase
-from appabuild.exceptions import BwDatabaseError
-from tests import DATA_DIR
 
 
-def test_not_existing_path():
+def test_no_ecoinvent_version():
     """
-    Check an exception is raised when the path for the eco invent datasets doesn't exist.
+    Check an exception is raised when no ecoinvent version is provided.
     """
-    path = os.path.join(DATA_DIR, "imaginary_path")
-
-    try:
-        db = EcoInventDatabase(path=path, name="name")
-        db.execute_at_startup()
-        pytest.fail("An eco invent database can't be loaded from an non-existing path")
-    except BwDatabaseError as e:
-        assert e.exception_type == "eco_invent_invalid_path"
-
-
-def test_empty_dataset():
-    """
-    Check an exception is raised when there is no dataset to load.
-    """
-    path = os.path.join(DATA_DIR, "eco_invent", "invalids", "no_datasets")
-
+    os.environ["BW_USER"] = "test"
+    os.environ["BW_PASS"] = "test"
     try:
-        db = EcoInventDatabase(path=path, name="name")
+        db = EcoInventDatabase(system_model="cutoff")
         db.execute_at_startup()
-        pytest.fail("An eco invent database can't be loaded if there is no datasets")
-    except BwDatabaseError as e:
-        assert e.exception_type == "eco_invent_invalid_path"
+        pytest.fail("EcoInvent database requires a version")
+    except TypeError as e:
+        assert (
+            str(e)
+            == "EcoInventDatabase.__init__() missing 1 required positional argument: 'version'"
+        )
 
 
-def test_invalid_dataset():
+def test_no_ecoinvent_system_model():
     """
-    Check an exception is raised when one of the dataset is invalid.
+    Check an exception is raised when no ecoinvent version is provided.
     """
-    path = os.path.join(DATA_DIR, "eco_invent", "invalids", "invalid_datasets")
-
+    os.environ["BW_USER"] = "test"
+    os.environ["BW_PASS"] = "test"
     try:
-        db = EcoInventDatabase(path=path, name="name")
+        db = EcoInventDatabase(version="3.11")
         db.execute_at_startup()
-        pytest.fail(
-            "An eco invent database can't be loaded if at least one dataset is invalid"
+        pytest.fail("EcoInvent database requires a system model")
+    except TypeError as e:
+        assert (
+            str(e)
+            == "EcoInventDatabase.__init__() missing 1 required positional argument: 'system_model'"
         )
-    except BwDatabaseError as e:
-        assert e.exception_type == "eco_invent_invalid_dataset"
 
 
-def test_incomplete_dataset():
+def test_no_ecoinvent_credentials():
     """
-    Check an exception is raised when one of the dataset is incomplete.
+    Check an exception is raised when no ecoinvent version is provided.
     """
-    path = os.path.join(DATA_DIR, "eco_invent", "invalids", "incomplete_datasets")
-
     try:
-        db = EcoInventDatabase(path=path, name="name")
+        db = EcoInventDatabase(version="3.11", system_model="cutoff")
         db.execute_at_startup()
-        pytest.fail(
-            "An eco invent database can't be loaded if at least one dataset is incomplete"
-        )
-    except BwDatabaseError as e:
-        assert e.exception_type == "eco_invent_invalid_dataset"
+        pytest.fail("EcoInvent database requires credentials as environment variables")
+    except HTTPError as e:
+        assert e.response.reason == "Unauthorized"