From 3f0186101e4181aae83b3f31920fe9cdd3ec2b21 Mon Sep 17 00:00:00 2001 From: jniffene <90058514+jniffene@users.noreply.github.com> Date: Fri, 2 Jun 2023 11:02:03 -0600 Subject: [PATCH 1/3] Comments on where to add wave to hybrid_simulation --- hopp/hybrid_simulation.py | 56 ++++++++++++++++++++++++++++++++------- hopp/mhkAPItest | 5 ++++ 2 files changed, 52 insertions(+), 9 deletions(-) create mode 100644 hopp/mhkAPItest diff --git a/hopp/hybrid_simulation.py b/hopp/hybrid_simulation.py index 5de343481..f125e52af 100644 --- a/hopp/hybrid_simulation.py +++ b/hopp/hybrid_simulation.py @@ -12,6 +12,7 @@ from hopp.sites import SiteInfo from hopp.pv_source import PVPlant from hopp.wind_source import WindPlant +from hopp.mhk_wave_source import MHKWavePlant from hopp.battery import Battery from hopp.grid import Grid from hopp.reopt import REopt @@ -23,12 +24,14 @@ class HybridSimulationOutput: _keys = ("pv", "wind", "battery", "hybrid") + # _keys = ("pv", "wind", "wave" "battery", "hybrid") def __init__(self, power_sources): self.power_sources = power_sources self.hybrid = 0 self.pv = 0 self.wind = 0 + # self.wave = 0 self.battery = 0 def create(self): @@ -77,7 +80,7 @@ def __init__( :param power_sources: tuple of strings, float pairs names of power sources to include and their kw sizes - choices include: ('pv', 'wind', 'geothermal', 'battery') + choices include: ('pv', 'wind', 'wave', 'geothermal', 'battery') :param site: Site layout, location and resource data @@ -100,6 +103,7 @@ def __init__( self.power_sources = OrderedDict() self.pv: Union[PVPlant, None] = None self.wind: Union[WindPlant, None] = None + # self.wave: Union[MHKWavePlant, None] = None self.battery: Union[Battery, None] = None self.dispatch_builder: Union[HybridDispatchBuilderSolver, None] = None self.grid: Union[Grid, None] = None @@ -119,6 +123,10 @@ def __init__( self.wind = WindPlant(self.site, power_sources['wind']) self.power_sources['wind'] = self.wind logger.info("Created HybridSystem.wind with system size {} mW".format(power_sources['wind'])) + # if 'wave' in power_sources.keys(): + # self.wave = MHKWavePlant(self.site, power_sources['wave']) + # self.power_sources['wave'] = self.wave + # logger.info("Created HybridSystem.wave with system size {} mW".format(power_sources['wave'])) if 'geothermal' in power_sources.keys(): raise NotImplementedError("Geothermal plant not yet implemented") if 'battery' in power_sources.keys(): @@ -247,8 +255,9 @@ def discount_rate(self, discount_rate): self.grid.value("real_discount_rate", discount_rate) def set_om_costs_per_kw(self, pv_om_per_kw=15, wind_om_per_kw=43, hybrid_om_per_kw=None): - if pv_om_per_kw and wind_om_per_kw and hybrid_om_per_kw: - if len(pv_om_per_kw) != len(wind_om_per_kw) != len(hybrid_om_per_kw): + # Add wave_om_per_kw = ? to inputs + if pv_om_per_kw and wind_om_per_kw and hybrid_om_per_kw: # add wave_om_per_kw to statement + if len(pv_om_per_kw) != len(wind_om_per_kw) != len(hybrid_om_per_kw): # add wave_om_per_kw to statement raise ValueError("Length of yearly om cost per kw arrays must be equal.") if pv_om_per_kw and self.pv: @@ -256,11 +265,14 @@ def set_om_costs_per_kw(self, pv_om_per_kw=15, wind_om_per_kw=43, hybrid_om_per_ if wind_om_per_kw and self.wind: self.wind.om_capacity = wind_om_per_kw + + # if wave_om_per_kw and self.wave: + # self.wave.om_capacity = wave_om_per_kw if hybrid_om_per_kw: self.grid.om_capacity = hybrid_om_per_kw - # print(self.wind.om_capacity,self.pv.om_capacity) + # print(self.wind.om_capacity,self.pv.om_capacity, self.wave.om_capacity) def size_from_reopt(self): """ @@ -275,7 +287,8 @@ def size_from_reopt(self): load_profile=[0] * 8760, urdb_label=self.site.urdb_label, solar_model=self.pv, - wind_model=self.wind, + wind_model=self.wind, + # wave_model=self.wave, fin_model=self.grid._financial_model, fileout=str(self._fileout / "REoptResult.json")) results = reopt.get_reopt_results(force_download=False) @@ -284,6 +297,9 @@ def size_from_reopt(self): solar_size_kw = results["outputs"]["Scenario"]["Site"]["PV"]["size_kw"] self.pv.system_capacity_kw = solar_size_kw + # Could use method for sizing from wind but if using that from solar: + # wave_size_kw = results["outputs"]["Scenario"]["Site"]["Wave"]["size_kw"] + # self.wave.system_capacity_kw = wave_size_kw logger.info("HybridSystem set system capacities to REopt output") def calculate_installed_cost(self): @@ -291,6 +307,7 @@ def calculate_installed_cost(self): raise RuntimeError("'calculate_installed_cost' called before 'setup_cost_calculator'.") wind_mw = 0 + # wave_mw = 0 pv_mw = 0 battery_mw = 0 battery_mwh = 0 @@ -298,10 +315,13 @@ def calculate_installed_cost(self): pv_mw = self.pv.system_capacity_kw / 1000 if self.wind: wind_mw = self.wind.system_capacity_kw / 1000 + # if self.wave: + # wave_mw = self.wave.system_capacity_kw / 1000 if self.battery: battery_mw = self.battery.system_capacity_kw / 1000 battery_mwh = self.battery.system_capacity_kwh / 1000 + # Add wave_cost to outputs and wave_mw to inputs pv_cost, wind_cost, storage_cost, total_cost = self.cost_model.calculate_total_costs(wind_mw, pv_mw, battery_mw, @@ -310,6 +330,8 @@ def calculate_installed_cost(self): self.pv.total_installed_cost = pv_cost if self.wind: self.wind.total_installed_cost = wind_cost + # if self.wave: + # self.wave.total_installed_cost = wave_cost if self.battery: self.battery.total_installed_cost = storage_cost @@ -452,7 +474,7 @@ def simulate_power(self, project_life: int = 25, lifetime_sim=False): hybrid_size_kw = 0 total_gen = np.zeros(self.site.n_timesteps * project_life) total_gen_before_battery = None - systems = ['pv', 'wind'] + systems = ['pv', 'wind'] # add 'wave' for system in systems: model = getattr(self, system) if model: @@ -490,7 +512,7 @@ def simulate_power(self, project_life: int = 25, lifetime_sim=False): self.grid.simulate_power(project_life, lifetime_sim) def simulate_financials(self, project_life): - systems = ['pv', 'wind'] + systems = ['pv', 'wind'] # add 'wave' for system in systems: model = getattr(self, system) if model: @@ -566,6 +588,8 @@ def annual_energies(self): aep.pv = self.pv.annual_energy_kw if self.wind: aep.wind = self.wind.annual_energy_kw + # if self.wave: + # aep.wave = self.wave.annual_energy_kw if self.battery: aep.battery = sum(self.battery.Outputs.gen) aep.hybrid = sum(self.grid.generation_profile[0:self.site.n_timesteps]) @@ -578,10 +602,12 @@ def generation_profile(self): gen.pv = self.pv.generation_profile if self.wind: gen.wind = self.wind.generation_profile + # if self.wave: + # gen.wave = self.wave.generation_profile if self.battery: gen.battery = self.battery.generation_profile gen.grid = self.grid.generation_profile - gen.hybrid = list(np.array(gen.pv) + np.array(gen.wind)) + gen.hybrid = list(np.array(gen.pv) + np.array(gen.wind)) # add + np.array(gen.wave) return gen @property @@ -591,10 +617,13 @@ def capacity_factors(self): cf.pv = self.pv.capacity_factor if self.wind: cf.wind = self.wind.capacity_factor + # if self.wave: + # cf.wave = self.wave.capacity_factor try: cf.grid = self.grid.capacity_factor_after_curtailment except: cf.grid = self.grid.capacity_factor_at_interconnect + # Include self.wave.annual_energy_kw and self.wave.system_capacity_kw to this equation cf.hybrid = (self.pv.annual_energy_kw + self.wind.annual_energy_kw + sum(self.battery.Outputs.gen if self.battery else (0,))) \ / (self.pv.system_capacity_kw + self.wind.system_capacity_kw + @@ -745,19 +774,26 @@ def hybrid_outputs(self): outputs = dict() outputs['PV (MW)'] = self.pv.system_capacity_kw / 1000 outputs['Wind (MW)'] = self.wind.system_capacity_kw / 1000 + # outputs['Wave (MW)'] = self.wave.system_capacity_kw / 1000 + + # Add + self.wave.system_capacity_kw to each denomenator pv_pct = self.pv.system_capacity_kw / (self.pv.system_capacity_kw + self.wind.system_capacity_kw) wind_pct = self.wind.system_capacity_kw / (self.pv.system_capacity_kw + self.wind.system_capacity_kw) + # wave_pct = self.wave.system_capacity_kw / (self.pv.system_capacity_kw + self.wind.system_capacity_kw + self.wave.system_capacity_kw) outputs['PV (%)'] = pv_pct * 100 outputs['Wind (%)'] = wind_pct * 100 + # outputs['Wave (%)'] = wave_pct * 100 annual_energies = self.annual_energies outputs['PV AEP (GWh)'] = annual_energies.pv / 1000000 outputs['Wind AEP (GWh)'] = annual_energies.wind / 1000000 + # outputs['Wave AEP (GWh)'] = annual_energies.wave / 1000000 outputs["AEP (GWh)"] = annual_energies.hybrid / 1000000 capacity_factors = self.capacity_factors outputs['PV Capacity Factor'] = capacity_factors.pv outputs['Wind Capacity Factor'] = capacity_factors.wind + # outputs['Wave Capacity Factor'] = capacity_factors.wave outputs["Capacity Factor"] = capacity_factors.hybrid outputs['Capacity Factor of Interconnect'] = capacity_factors.grid @@ -781,7 +817,8 @@ def hybrid_outputs(self): outputs['Cost / MWh Produced percent reduction'] = 0 - if pv_pct * wind_pct > 0: + if pv_pct * wind_pct > 0: # add * wave_pct to if statement + # Add V Wave to output title, add self.wave.generation_profile[0:8760] to input outputs['Pearson R Wind V Solar'] = pearsonr(self.pv.generation_profile[0:8760], self.wind.generation_profile[0:8760])[0] @@ -826,3 +863,4 @@ def plot_layout(self, linewidth=4.0 ): self.layout.plot(figure, axes, wind_color, pv_color, site_border_color, site_alpha, linewidth) + # Add wave_color depending on how this function is used (if not applicable then don't include) diff --git a/hopp/mhkAPItest b/hopp/mhkAPItest new file mode 100644 index 000000000..d5f3fc15e --- /dev/null +++ b/hopp/mhkAPItest @@ -0,0 +1,5 @@ +import PySAM.MhkWave as MhkWave +import PySAM.MhkCosts as MhkCost +import PySAM.Singleowner as Singleowner + +# Pulling timeseries data for significant wave height and energy period from various sources From 34d56624d1e42ebe5dd8453f039b4284f133fc6a Mon Sep 17 00:00:00 2001 From: jniffene <90058514+jniffene@users.noreply.github.com> Date: Thu, 29 Jun 2023 16:30:43 -0600 Subject: [PATCH 2/3] Draft API Call Test Files for Wave Data --- hopp/APIcallTest.csv | 8452 ++++++++++++++++++++++++++++++++++++++ hopp/APIhindCallTest.csv | 2923 +++++++++++++ hopp/mhkAPItest | 5 - hopp/mhkAPItestCDIP.py | 157 + hopp/mhkAPItestHind.py | 103 + 5 files changed, 11635 insertions(+), 5 deletions(-) create mode 100644 hopp/APIcallTest.csv create mode 100644 hopp/APIhindCallTest.csv delete mode 100644 hopp/mhkAPItest create mode 100644 hopp/mhkAPItestCDIP.py create mode 100644 hopp/mhkAPItestHind.py diff --git a/hopp/APIcallTest.csv b/hopp/APIcallTest.csv new file mode 100644 index 000000000..de43062b1 --- /dev/null +++ b/hopp/APIcallTest.csv @@ -0,0 +1,8452 @@ +Source,Station ID,Jurisdiction,Latitude,Longitude,Time Zone,Local Time,Distance to Shore,Directionality Coefficient,Energy Period,Maximum Energy Direction,Mean Absolute Period,Mean Wave Direction,Mean Zero-Crossing Period,Omni-Directional Wave Power,Peak Period,Significant Wave Height,Spectral Width,Water Depth,Version 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height and energy period from various sources + +# # WPTO Hindcast Test +# data_type = '1-hour' +# parameter = ['energy_period', 'significant_wave_height'] +# lat_lon = ('33.22510', '−119.89175') +# years = [2004] +# wpto_hind_test = mhkit.wave.io.hindcast.hindcast.request_wpto_point_data(data_type, parameter, lat_lon, years, tree=None, unscale=True, str_decode=True, hsds=True) +# print(wpto_hind_test) + +# CDiP test +station = '067' +data_type = 'historic' +year = 2010 +paras = ['waveHs','waveTp','waveFrequency','metaWaterDepth','metaStationLatitude','metaStationLongitude'] +# paras = 'significant_wave_height' +start = '2010-01-01' +end = '2010-12-31' +# CDiP_test = mhkit.wave.io.cdip.request_netCDF(station_number, data_type) +CDiP_test2 = mhkit.wave.io.cdip.request_parse_workflow(nc=None, station_number=station, parameters=paras, years=year, start_date=start, end_date=end, data_type='historic', all_2D_variables=False) +print(CDiP_test2) +Tp = CDiP_test2['data']['wave']['waveTp'] # Peak period in seconds +# Tp = Tp_flt.tolist() +# print(Tp) + +Hs = CDiP_test2['data']['wave']['waveHs'] # Significant wave height in meters +# Hs = Hs_flt.tolist() +# print(len(Hs)/2) +f = CDiP_test2['metadata']['wave']['waveFrequency'] +# print(f) +latit = CDiP_test2['metadata']['meta']['metaStationLatitude'] +# latit = mean(lats) +# print(mean(lats)) +longit = CDiP_test2['metadata']['meta']['metaStationLongitude'] +# longit = mean(longs) +# print(mean(longs)) +depths = CDiP_test2['metadata']['meta']['metaWaterDepth'] +depth = mean(depths) +# print(mean(depths)) + +# Access time stamps +datesTS = Tp.index.tolist() +# datesSTR = datetime.strptime(str(datesTS[0]), '%Y-%m-%d %H:%M:%S') +# print(str(datesSTR)) +# datesSTRs = np.empty(len(datesTS)) +datesSTRs = [] +for i in range(len(datesTS)): + datesSTRs.append(str(datetime.strptime(str(datesTS[i]), '%Y-%m-%d %H:%M:%S'))) +# print(datesSTRs) +# year1 = int(datesSTRs[0][:4]) +# print(year1) +year = np.empty(len(Tp)) +for i in range(len(year)): + year[i] = float(datesSTRs[i][:4]) +print(year) + +month = np.empty(len(Tp)) +for i in range(len(month)): + month[i] = float(datesSTRs[i][5:7]) +print(month) + +day = np.empty(len(Tp)) +for i in range(len(day)): + day[i] = float(datesSTRs[i][8:10]) +print(day) + +hour = np.empty(len(Tp)) +for i in range(len(hour)): + hour[i] = float(datesSTRs[i][11:13]) +print(hour) + +minute = np.empty(len(Tp)) +for i in range(len(minute)): + minute[i] = float(datesSTRs[i][14:16]) +print(minute) + +second = np.empty(len(Tp)) +for i in range(len(second)): + second[i] = float(datesSTRs[i][17:19]) +print(second) + +S_pm0 = mhkit.wave.resource.pierson_moskowitz_spectrum(f, Tp[0], Hs[0]) +# print(S_pm) + +Te0_raw = mhkit.wave.resource.energy_period(S_pm0, frequency_bins=None) +# print(Te0_raw) +Te0 = Te0_raw['Te'].values.tolist()[0] +# Te0 = Te0_raw['Te'] +# print(Te0) + +# For loop to get rest of the energy period values +Te = np.empty(len(Hs)) +for i in range(len(Te)): + S_pm_i = mhkit.wave.resource.pierson_moskowitz_spectrum(f, Tp[i], Hs[i]) + Tei_raw = mhkit.wave.resource.energy_period(S_pm_i, frequency_bins=None) + Te[i] = Tei_raw['Te'].values.tolist()[0] + +# print(Te) + + + +resultsDict = {} +resultsDict["Hs"] = Hs +resultsDict["Te"] = Te +# print(resultsDict) + +fields = ["Year", "Month", "Day", "Hour", "Minute", "Significant Head (m)","Energy Period (s)"] + +resultsMat = np.empty((len(Hs),7)) +for i in range(len(Hs)): + resultsMat[i,0] = year[i] + +for i in range(len(Hs)): + resultsMat[i,1] = month[i] + +for i in range(len(Hs)): + resultsMat[i,2] = day[i] + +for i in range(len(Hs)): + resultsMat[i,3] = hour[i] + +for i in range(len(Hs)): + resultsMat[i,4] = minute[i] + +# for i in range(len(Hs)): +# resultsMat[i,5] = second[i] + +for i in range(len(Hs)): + resultsMat[i,5] = Hs[i] + +for j in range(len(Hs)): + resultsMat[j,6] = Te[j] +print(resultsMat[0,:]) + +# Switch from 30 min data to hourly +resultsMatHrly = np.empty((int(len(Hs)/2),7)) +j = 0 # counter for new matrix +for i in range(len(Hs)): + if i % 2 == 0: + resultsMatHrly[j,:] = resultsMat[i,:] + j = j+1 + +mainHeader = ["Source", "Station ID", "Jurisdiction", "Latitude", "Longitude", "Time Zone", "Local Time", "Distance to Shore", "Directionality Coefficient", "Energy Period", "Maximum Energy Direction", "Mean Absolute Period", "Mean Wave Direction", "Mean Zero-Crossing Period", "Omni-Directional Wave Power", "Peak Period", "Significant Wave Height", "Spectral Width", "Water Depth", "Version"] +subHeader = ["CDIP", str(station), "N/A", float(latit), float(longit), "N/A", "N/A", "N/A", "-", "s", "deg", "s", "deg", "s", "W/m", "s", "m", "-", depth, "N/A"] +with open('APIcallTest.csv', 'w', newline='') as file: + writer = csv.writer(file) + + writer.writerow(mainHeader) + writer.writerow(subHeader) + writer.writerow(fields) + writer.writerows(resultsMatHrly) \ No newline at end of file diff --git a/hopp/mhkAPItestHind.py b/hopp/mhkAPItestHind.py new file mode 100644 index 000000000..b6c1612cb --- /dev/null +++ b/hopp/mhkAPItestHind.py @@ -0,0 +1,103 @@ +import mhkit +import numpy as np +from datetime import datetime +import csv + +# Need to configure NREL's highly scalable data service (HSDS) see: https://github.com/NREL/hsds-examples + +lat_lon = [48.494, -124.728] # NDBC 46087 + +region = mhkit.wave.io.hindcast.hindcast.region_selection(lat_lon) +print(region) + +data_type = '3-hour' # can be '1-hour' or '3-hour' +parameter = ['energy_period', 'significant_wave_height'] +years = [2005] # 1979 to 2010 are available + +waveData = mhkit.wave.io.hindcast.hindcast.request_wpto_point_data(data_type, parameter, lat_lon, years, tree=None, unscale=True, str_decode=True, hsds=True) +print(waveData) + +TeAndHs = waveData[0] +Te = TeAndHs['energy_period_0'] +print(Te[0]) +Hs = TeAndHs['significant_wave_height_0'] +print(Hs[0]) + +# Access time stamps +datesTS = Te.index.tolist() +datesSTRs = [] +for i in range(len(datesTS)): + datesSTRs.append(str(datetime.strptime(str(datesTS[i]), '%Y-%m-%d %H:%M:%S%z'))) +# print(datesSTRs) + +year = np.empty(len(Te)) +for i in range(len(year)): + year[i] = float(datesSTRs[i][:4]) +print(year) + +month = np.empty(len(Te)) +for i in range(len(month)): + month[i] = float(datesSTRs[i][5:7]) +print(month) + +day = np.empty(len(Te)) +for i in range(len(day)): + day[i] = float(datesSTRs[i][8:10]) +print(day) + +hour = np.empty(len(Te)) +for i in range(len(hour)): + hour[i] = float(datesSTRs[i][11:13]) +print(hour) + +minute = np.empty(len(Te)) +for i in range(len(minute)): + minute[i] = float(datesSTRs[i][14:16]) +print(minute) + +fields = ["Year", "Month", "Day", "Hour", "Minute", "Significant Wave Height","Energy Period"] + +resultsMat = np.empty((len(Hs),7)) +for i in range(len(Hs)): + resultsMat[i,0] = year[i] + +for i in range(len(Hs)): + resultsMat[i,1] = month[i] + +for i in range(len(Hs)): + resultsMat[i,2] = day[i] + +for i in range(len(Hs)): + resultsMat[i,3] = hour[i] + +for i in range(len(Hs)): + resultsMat[i,4] = minute[i] + +for i in range(len(Hs)): + resultsMat[i,5] = Hs[i] + +for j in range(len(Hs)): + resultsMat[j,6] = Te[j] +print(resultsMat[0,:]) + +# Access additional location details +locData = waveData[1] +print(locData) +depth = locData['water_depth'][0] +latit = locData['latitude'][0] +longit = locData['longitude'][0] +dist = locData['distance_to_shore'][0] +tz = locData['timezone'][0] +jur = locData['jurisdiction'][0] +print(locData['timezone'][0]) +print(tz) + +mainHeader = ["Source", "Station ID", "Jurisdiction", "Latitude", "Longitude", "Time Zone", "Local Time", "Distance to Shore", "Directionality Coefficient", "Energy Period", "Maximum Energy Direction", "Mean Absolute Period", "Mean Wave Direction", "Mean Zero-Crossing Period", "Omni-Directional Wave Power", "Peak Period", "Significant Wave Height", "Spectral Width", "Water Depth", "Version"] +subHeader = ["WPTO Hindcast Data", float(0), jur, latit, longit, float(0), tz, dist, "-", "s", "deg", "s", "deg", "s", "W/m", "s", "m", "-", depth, "v1.0.0"] +with open('APIhindCallTest.csv', 'w', newline='') as file: + writer = csv.writer(file) + + writer.writerow(mainHeader) + writer.writerow(subHeader) + writer.writerow(fields) + writer.writerows(resultsMat) \ No newline at end of file From 180ff62ba60b12e92dc35ddf9ac88e530e703b70 Mon Sep 17 00:00:00 2001 From: jniffene <90058514+jniffene@users.noreply.github.com> Date: Thu, 27 Jul 2023 15:07:45 -0600 Subject: [PATCH 3/3] wave_resource call Edited file to get 3-hour Wave Hindcast Data make sure to get the user to install hsconfigure following the instructions on https://github.com/NREL/hsds-examples --- hopp/hsConfig_test.py | 14 +++++ hopp/mhkAPItestHind.py | 10 ++-- hopp/resource/wave_resource.py | 103 ++++++++++++++++++++++++++++++--- 3 files changed, 113 insertions(+), 14 deletions(-) create mode 100644 hopp/hsConfig_test.py diff --git a/hopp/hsConfig_test.py b/hopp/hsConfig_test.py new file mode 100644 index 000000000..f5fecc34c --- /dev/null +++ b/hopp/hsConfig_test.py @@ -0,0 +1,14 @@ +import os +import subprocess +from hopp.keys import set_nrel_key_dot_env +from hopp.keys import get_developer_nrel_gov_key +set_nrel_key_dot_env() +print(get_developer_nrel_gov_key()) +# os.system("hsconfigure") +# os.system("https://developer.nrel.gov/api/hsds") +# +p = subprocess.Popen('hsconfigure', shell=True, stdin=subprocess.PIPE, + stdout=subprocess.PIPE, universal_newlines=True) +newline = os.linesep # [1] +commands = ['https://developer.nrel.gov/api/hsds','','', "R3KA4NjP9stcbvKQWOUQEITf6gx357SLY8gZgSMp",'Y'] +p.communicate(newline.join(commands)) diff --git a/hopp/mhkAPItestHind.py b/hopp/mhkAPItestHind.py index b6c1612cb..17cfbbd78 100644 --- a/hopp/mhkAPItestHind.py +++ b/hopp/mhkAPItestHind.py @@ -30,10 +30,10 @@ datesSTRs.append(str(datetime.strptime(str(datesTS[i]), '%Y-%m-%d %H:%M:%S%z'))) # print(datesSTRs) -year = np.empty(len(Te)) -for i in range(len(year)): - year[i] = float(datesSTRs[i][:4]) -print(year) +yr = np.empty(len(Te)) +for i in range(len(yr)): + yr[i] = float(datesSTRs[i][:4]) +print(yr) month = np.empty(len(Te)) for i in range(len(month)): @@ -59,7 +59,7 @@ resultsMat = np.empty((len(Hs),7)) for i in range(len(Hs)): - resultsMat[i,0] = year[i] + resultsMat[i,0] = yr[i] for i in range(len(Hs)): resultsMat[i,1] = month[i] diff --git a/hopp/resource/wave_resource.py b/hopp/resource/wave_resource.py index 38d99f861..01e8cb8ca 100644 --- a/hopp/resource/wave_resource.py +++ b/hopp/resource/wave_resource.py @@ -3,6 +3,10 @@ from hopp.log import hybrid_logger as logger from hopp.resource.resource import * +import mhkit +import numpy as np +from datetime import datetime +import csv class WaveResource(Resource): @@ -24,36 +28,117 @@ def __init__(self, lat, lon, year, path_resource="", filepath="", **kwargs): if os.path.isdir(path_resource): self.path_resource = path_resource + self.wave_attributes = ['energy_period', 'significant_wave_height'] + self.path_resource = os.path.join(self.path_resource, 'wave') + # Force override any internal definitions if passed in self.__dict__.update(kwargs) # resource_files files if filepath == "": - self.filename = "" + self.filename = "" # adapted from wind resource else: self.filename = filepath + self.check_download_dir() + if not os.path.isfile(self.filename): - # self.download_resource() - raise ValueError("Wave resource file must be loaded.") # Remove ValueError once resource can be downloaded. + self.download_resource() + # raise ValueError("Wave resource file must be loaded.") # Remove ValueError once resource can be downloaded. - self.format_data() - logger.info("WaveResource: {}".format(self.filename)) + # logger.info("WaveResource: {}".format(self.filename)) def download_resource(self): - #TODO: Add ability to use MHKit for resource downloads - # https://mhkit-software.github.io/MHKiT/ - pass + # NOTE THE USER MUST RUN hsconfigure AND FOLLOW INSTRUCTIONS IN https://github.com/NREL/hsds-examples + + data_type = '3-hour' # can be '1-hour' or '3-hour' + parameter = self.wave_attributes + lat_lon = [self.latitude, self.longitude] + years = self.year + waveData = mhkit.wave.io.hindcast.hindcast.request_wpto_point_data(data_type, parameter, lat_lon, years, tree=None, unscale=True, str_decode=True, hsds=True) + TeAndHs = waveData[0] + Te = TeAndHs['energy_period_0'] + Hs = TeAndHs['significant_wave_height_0'] + + # Access time stamps + datesTS = Te.index.tolist() + datesSTRs = [] + for i in range(len(datesTS)): + datesSTRs.append(str(datetime.strptime(str(datesTS[i]), '%Y-%m-%d %H:%M:%S%z'))) + + yr = np.empty(len(Te)) + for i in range(len(yr)): + yr[i] = float(datesSTRs[i][:4]) + + month = np.empty(len(Te)) + for i in range(len(month)): + month[i] = float(datesSTRs[i][5:7]) + + day = np.empty(len(Te)) + for i in range(len(day)): + day[i] = float(datesSTRs[i][8:10]) + + hour = np.empty(len(Te)) + for i in range(len(hour)): + hour[i] = float(datesSTRs[i][11:13]) + + minute = np.empty(len(Te)) + for i in range(len(minute)): + minute[i] = float(datesSTRs[i][14:16]) + + fields = ["Year", "Month", "Day", "Hour", "Minute", "Significant Wave Height","Energy Period"] + + resultsMat = np.empty((len(Hs),7)) + for i in range(len(Hs)): + resultsMat[i,0] = yr[i] + + for i in range(len(Hs)): + resultsMat[i,1] = month[i] + + for i in range(len(Hs)): + resultsMat[i,2] = day[i] + + for i in range(len(Hs)): + resultsMat[i,3] = hour[i] + + for i in range(len(Hs)): + resultsMat[i,4] = minute[i] + + for i in range(len(Hs)): + resultsMat[i,5] = Hs[i] + + for j in range(len(Hs)): + resultsMat[j,6] = Te[j] + + locData = waveData[1] + depth = locData['water_depth'][0] + latit = locData['latitude'][0] + longit = locData['longitude'][0] + dist = locData['distance_to_shore'][0] + tz = locData['timezone'][0] + jur = locData['jurisdiction'][0] + + mainHeader = ["Source", "Station ID", "Jurisdiction", "Latitude", "Longitude", "Time Zone", "Local Time", "Distance to Shore", "Directionality Coefficient", "Energy Period", "Maximum Energy Direction", "Mean Absolute Period", "Mean Wave Direction", "Mean Zero-Crossing Period", "Omni-Directional Wave Power", "Peak Period", "Significant Wave Height", "Spectral Width", "Water Depth", "Version"] + subHeader = ["WPTO Hindcast Data", float(0), jur, latit, longit, float(0), tz, dist, "-", "s", "deg", "s", "deg", "s", "W/m", "s", "m", "-", depth, "v1.0.0"] + with open(self.filename, 'w', newline='') as file: + writer = csv.writer(file) + + writer.writerow(mainHeader) + writer.writerow(subHeader) + writer.writerow(fields) + writer.writerows(resultsMat) + + return def format_data(self): """ Format as 'wave_resource_data' dictionary for use in PySAM. """ if not os.path.isfile(self.filename): - raise FileNotFoundError(self.filename + " does not exist.") + raise FileNotFoundError(self.filename + " does not exist. Try `download_resource` first.") self.data = self.filename