diff --git a/CHANGELOG.md b/CHANGELOG.md index 298932b3..9aa4265f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -26,9 +26,15 @@ Here is a template for new release sections ### Added - Version number with `src/version.py` (#150) -- Constant variables in `constants.py`: `INPUT_TEMPLATE_EXCEL_XLSX`(#150), `GENSET_HOURS_OF_OPERATION` (#153) +- Constant variables in `constants.py`: `INPUT_TEMPLATE_EXCEL_XLSX`(#150), `GENSET_HOURS_OF_OPERATION` (#153), `EFFICIENCY_GENSET_TIMESERIES`, `CONSUMPTION_FUEL_TIMESERIES_KWH`, `GENSET_WITH_EFFICIENCY_CURVE` (#92) - Added pytests for `D1.crf` and `D1.present_value_of_changing_fuel_price` (#153) - Implement new KPI: `GENSET_HOURS_OF_OPERATION` with new function `G3.get_hours_of_operation()` for generator evaluation, including pytests (#153) +- Create `B.process_generator_settings` to evaluate different generator settings, including pytests (#92) +- Implement OffsetTransformer with new parameter `GENSET_WITH_EFFICIENCY_CURVE` with `G2a.genset_fix_capacity_efficiency_curve_and_minimal_loading`. Note: Efficiency of the new OffSet Transformer with efficiency curve (#92) +uses the `GENSET_EFFICIENCY` as maximum efficiency, and `GENSET_EFFICIENCY/2` as minimal part-load efficiency (#92) +- New folder `tests/benchmark_tests` and `tests/benchmark_tests/timeseries/test_site.csv` to serve future tests (#92) +- Benchmark test for generator with efficiency curve (OffsetTransformer): Add `tests/benchmark_tests/generator_with_efficiency_curve.xlsx`, ie. a base case with optimization of the diesel generator and a follow-up case which uses that capacities to simulate a diesel generator with efficiency with the same capacities at the same location. Only ensures that simulation does not terminate. (#92) +- Calculate `EFFICIENCY_GENSET_TIMESERIES` with `G3.get_efficiency_genset`. This calculates the effective generator efficiency. In case that multiple generators are present, it represents the average efficiency, as it is based on the aggregated generator dispatch. (#92) ### Changed - Execute all pytests in Travis `.travis.yml` (#150) @@ -36,6 +42,16 @@ Here is a template for new release sections - Moved `main()` from `Offgridders.py` to new file `src/cli.py` (#150) - Enable benchmark tests for Offgridders: Add optional argument `input_file` to `main()` (#150) - Added `GENSET_HOURS_OF_OPERATION` in `C1.overall_results_title` (#153) +- Reorder variables in `constants.py` (#92) +- Change `tests/test_basic.py`: Remove pytests for black, as they do not work (#92) +- Refactor `inputs/test_input_template.xlsx` to `inputs/input_teplate_excel.xslx` (#92) +- All input templates to feature new parameter `EFFICIENCY_GENSET_TIMESERIES` (#92) +- Refactored`G2a.genset_fix` to `G2a.genset_fix_capacity_fix_efficiency_no_minload`, `G2a.genset_fix_minload` to `G2a.genset_fix_capacity_fix_efficiency_with_minload` and `G2a.genset_oem` to `G2a.genset_oem_fix_efficiency_no_minload` to make them explicit and improved logging messages (#92) +- Expand elif-statements in `G1` to choose appropriate generator model (#92) +- `G3.get_fuel()` to also store the `CONSUMPTION_FUEL_TIMESERIES_KWH` to `e_flows_df` (#92) +- `G4.save_mg_flows()` to store `EFFICIENCY_GENSET_TIMESERIES` and `CONSUMPTION_FUEL_TIMESERIES_KWH` to csv (#92) +- `G4.save_mg_flows()` to generate an efficiency curve from `EFFICIENCY_GENSET_TIMESERIES` if `GENSET_WITH_EFFICIENCY_CURVE==True` (#92) +- `F.update_dict` so that new parameter `GENSET_WITH_EFFICIENCY_CURVE` is parsed (#92) ### Removed - @@ -43,6 +59,7 @@ Here is a template for new release sections ### Fixed - Basic pytest to ensure no termination with test input file (`tests/inputs/pytest_test.xlsx`) (#150) - `present_value_of_changing_fuel_price` now correctly calculated, fixed function call of `D1.present_value_of_changing_fuel_price` in `D0` (#153) +- Irregular use of `capacity_inverter_kW`, use only `capacity_inverter_dc_ac_kW` (#92) ## [Offgridders V4.6.1] - 2020-11-07 diff --git a/inputs/input_template_excel.xlsx b/inputs/input_template_excel.xlsx new file mode 100644 index 00000000..3340c085 Binary files /dev/null and b/inputs/input_template_excel.xlsx differ diff --git a/inputs/test_input_template.xlsx b/inputs/test_input_template.xlsx deleted file mode 100644 index 86e2d6fc..00000000 Binary files a/inputs/test_input_template.xlsx and /dev/null differ diff --git a/src/B_read_from_files.py b/src/B_read_from_files.py index 07496dde..c6374c64 100644 --- a/src/B_read_from_files.py +++ b/src/B_read_from_files.py @@ -20,7 +20,11 @@ VALUE, CASE_NAME, MAX_SHORTAGE, + CAPACITY_GENSET_KW, NUMBER_OF_EQUAL_GENERATORS, + GENSET_WITH_EFFICIENCY_CURVE, + GENSET_WITH_MINIMAL_LOADING, + OEM, DIMENSIONS, CRITERIA, PARAMETERS, @@ -301,7 +305,6 @@ def get_parameters_constant(file, sheet_input_constant): "consumed from the (fully coal-based) maingrid." ) - # print(parameters_constant_values) return parameters_constant_units, parameters_constant_values @@ -392,7 +395,6 @@ def get_case_definitions(file, sheet_project_sites): # case_definitions.drop(case_definitions.columns[case_definitions.columns.str.contains('unnamed', case=False)], axis=1, inplace=True) case_definitions = case_definitions.to_dict(orient="dict") - # Translate strings 'True' and 'False' from excel sheet to True and False for case in case_definitions: @@ -406,6 +408,8 @@ def get_case_definitions(file, sheet_project_sites): {MAX_SHORTAGE: float(case_definitions[case][MAX_SHORTAGE])} ) + process_generator_settings(case_definition=case_definitions[case], case=case) + if case_definitions[case][EVALUATION_PERSPECTIVE] not in [ AC_SYSTEM, DC_SYSTEM, @@ -424,6 +428,73 @@ def get_case_definitions(file, sheet_project_sites): return case_definitions +MISSING_PARAMETER_WARNING = ( + "It will be required with the next major release of Offgridders." +) +OPTIMIZATION_NOT_POSSIBLE_MINLOAD_OEM = "Currently, this optimization is not possible with oemof or Offgridders and will be neglected." +OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM = "This is not possible, as the efficiency curve is calculated based on the maximum and minimum dispatchable capacity of the diesel generator." +NO_MINIMAL_LOADING_WITH_OFFSET_TRANSFORMER = "In general, the generator with efficiency curve can be simulated with minimal loading, but with this setting the minimal loading is deactivated." + + +def process_generator_settings(case_definition, case): + r""" + Evaluate settings on tab `case_definitions` of the input file regarding the combination of possible generator settings. + + Generators can be defined with parameters the CAPACITY_GENSET_KW, GENSET_WITH_EFFICIENCY_CURVE, GENSET_WITH_MINIMAL_LOADING, + but not all combinations are valid or expected. This function displays warnings when an invalid combination is used. + It especially results in an ERROR logging message if an optimization is tried with a GENSET_WITH_EFFICIENCY_CURVE==True or + GENSET_WITH_MINIMAL_LOADING == True. + + Parameters + ---------- + case_definition: dict + Information of one specific case defined in the case tab in the excel sheet + case: str + Case name + + Returns + ------- + Nothing, potentially adds logging messages. + """ + if GENSET_WITH_EFFICIENCY_CURVE not in case_definition: + case_definition.update({GENSET_WITH_EFFICIENCY_CURVE: False}) + logging.warning( + f"For case {case} a parameter {GENSET_WITH_EFFICIENCY_CURVE} is missing. {MISSING_PARAMETER_WARNING} For this simulation, it is set to the default setting `False`." + ) + if case_definition[CAPACITY_GENSET_KW] is None: + logging.debug(f"The energy system of case {case} does not include a generator.") + else: + # Create warnings for weird combinations of diesel generator simulation settings + if case_definition[CAPACITY_GENSET_KW] == OEM: + logging.debug(f"For case {case} the diesel generator should be optimized.") + if case_definition[GENSET_WITH_MINIMAL_LOADING] is True: + logging.warning( + f"At the same time, {GENSET_WITH_MINIMAL_LOADING} is set to `True`." + f"{OPTIMIZATION_NOT_POSSIBLE_MINLOAD_OEM}" + ) + + if case_definition[GENSET_WITH_EFFICIENCY_CURVE] is True: + logging.error( + f"At the same time, {GENSET_WITH_EFFICIENCY_CURVE} is set to `True`. " + f"{OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM}" + ) + else: + logging.debug( + f"The energy system of {case} has a generator with fixed capacity, therefore all generator types are possible." + ) + if ( + case_definition[GENSET_WITH_EFFICIENCY_CURVE] is True + and case_definition[GENSET_WITH_MINIMAL_LOADING] is False + ): + logging.warning( + f"For case {case} the diesel generator parameteter {GENSET_WITH_EFFICIENCY_CURVE} is set to `True`." + f"and {GENSET_WITH_MINIMAL_LOADING} is set to False. " + f"{NO_MINIMAL_LOADING_WITH_OFFSET_TRANSFORMER}" + ) + + return + + def get_multicriteria_data(file, sheet_multicriteria_analysis, case_definitions): """ Defines dictionary connected to multicriteria analysis based on their case definition diff --git a/src/C_sensitivity_experiments.py b/src/C_sensitivity_experiments.py index a6fc14af..8bf59bb5 100644 --- a/src/C_sensitivity_experiments.py +++ b/src/C_sensitivity_experiments.py @@ -114,7 +114,6 @@ CASE, RESULTS_DEMAND_CHARACTERISTICS, RESULTS_BLACKOUT_CHARACTERISTICS, - CAPACITY_INVERTER_KW, LCOE, ANNUITY, NPV, @@ -183,6 +182,7 @@ CAPACITY_STORAGE_KWH, POWER_STORAGE_KW, CAPACITY_RECTIFIER_AC_DC_KW, + CAPACITY_INVERTER_DC_AC_KW, CAPACITY_WIND_KW, CAPACITY_GENSET_KW, CO2_EMISSIONS_KGC02EQ, @@ -1300,7 +1300,7 @@ def overall_results_title(settings, number_of_project_sites, sensitivity_array_d CAPACITY_STORAGE_KWH, POWER_STORAGE_KW, CAPACITY_RECTIFIER_AC_DC_KW, - CAPACITY_INVERTER_KW, + CAPACITY_INVERTER_DC_AC_KW, CAPACITY_WIND_KW, CAPACITY_GENSET_KW, CAPACITY_PCOUPLING_KW, diff --git a/src/F_case_definitions.py b/src/F_case_definitions.py index 71d9e320..b42f3b76 100644 --- a/src/F_case_definitions.py +++ b/src/F_case_definitions.py @@ -23,6 +23,7 @@ ABS_PEAK_DEMAND_AC_SIDE, EVALUATED_DAYS, GENSET_WITH_MINIMAL_LOADING, + GENSET_WITH_EFFICIENCY_CURVE, CAPACITY_PV_KWP, CAPACITY_WIND_KW, CAPACITY_RECTIFIER_AC_DC_KW, @@ -110,6 +111,7 @@ def update_dict(capacities_oem, specific_case, experiment): PEAK_DEMAND: experiment[ABS_PEAK_DEMAND_AC_SIDE], EVALUATED_DAYS: experiment[EVALUATED_DAYS], GENSET_WITH_MINIMAL_LOADING: specific_case[GENSET_WITH_MINIMAL_LOADING], + GENSET_WITH_EFFICIENCY_CURVE: specific_case[GENSET_WITH_EFFICIENCY_CURVE], } ) diff --git a/src/G0_oemof_simulate.py b/src/G0_oemof_simulate.py index 93a7ca53..37761232 100644 --- a/src/G0_oemof_simulate.py +++ b/src/G0_oemof_simulate.py @@ -171,11 +171,13 @@ def run(experiment, case_dict): e_flows_df, ) - timeseries.get_fuel(case_dict, oemof_results, results) + e_flows_df = timeseries.get_fuel(case_dict, oemof_results, results, e_flows_df) e_flows_df = timeseries.get_genset( case_dict, oemof_results, electricity_bus_ac, e_flows_df ) + e_flows_df = timeseries.get_efficiency_genset(e_flows_df) + e_flows_df = timeseries.get_national_grid( case_dict, oemof_results, diff --git a/src/G1_oemof_create_model.py b/src/G1_oemof_create_model.py index 684ae8c3..3f365b01 100644 --- a/src/G1_oemof_create_model.py +++ b/src/G1_oemof_create_model.py @@ -46,6 +46,7 @@ SYMBOLIC_SOLVER_LABELS, OEMOF_FOLDER, CASE_DEFINITIONS, + GENSET_WITH_EFFICIENCY_CURVE ) @@ -109,19 +110,14 @@ def build(experiment, case_dict): if case_dict[GENSET_FIXED_CAPACITY] == None: genset = None elif case_dict[GENSET_FIXED_CAPACITY] is False: - if case_dict[GENSET_WITH_MINIMAL_LOADING] is True: - # not possible with oemof + if case_dict[GENSET_WITH_MINIMAL_LOADING] is True or case_dict[GENSET_WITH_EFFICIENCY_CURVE] is True: logging.error( "It is not possible to optimize a generator with minimal loading in oemof. \n " - + " " - + " " - + " " - + f"Please set {GENSET_WITH_MINIMAL_LOADING}=False for this case on tab {CASE_DEFINITIONS} in the excel template." + + f"Please set {GENSET_WITH_MINIMAL_LOADING}=False and {GENSET_WITH_EFFICIENCY_CURVE}=False for this case on tab {CASE_DEFINITIONS} in the excel template." ) sys.exit() - # genset = generate.genset_oem_minload(micro_grid_system, bus_fuel, bus_electricity_ac, experiment, case_dict['number_of_equal_generators']) else: - genset = generate.genset_oem( + genset = generate.genset_oem_fix_efficiency_no_minload( micro_grid_system, bus_fuel, bus_electricity_ac, @@ -130,8 +126,18 @@ def build(experiment, case_dict): ) elif isinstance(case_dict[GENSET_FIXED_CAPACITY], float): - if case_dict[GENSET_WITH_MINIMAL_LOADING] is True: - genset = generate.genset_fix_minload( + if case_dict[GENSET_WITH_EFFICIENCY_CURVE] is True: + genset = generate.genset_fix_capacity_efficiency_curve_and_minimal_loading( + micro_grid_system, + bus_fuel, + bus_electricity_ac, + experiment, + capacity_fuel_gen=case_dict[GENSET_FIXED_CAPACITY], + number_of_equal_generators=case_dict[NUMBER_OF_EQUAL_GENERATORS], + minimal_loading=case_dict[GENSET_WITH_MINIMAL_LOADING] + ) + elif case_dict[GENSET_WITH_MINIMAL_LOADING] is True: + genset = generate.genset_fix_capacity_fix_efficiency_with_minload( micro_grid_system, bus_fuel, bus_electricity_ac, @@ -140,7 +146,7 @@ def build(experiment, case_dict): number_of_equal_generators=case_dict[NUMBER_OF_EQUAL_GENERATORS], ) else: - genset = generate.genset_fix( + genset = generate.genset_fix_capacity_fix_efficiency_no_minload( micro_grid_system, bus_fuel, bus_electricity_ac, diff --git a/src/G2a_oemof_busses_and_componets.py b/src/G2a_oemof_busses_and_componets.py index d6ad3e6a..df4f7180 100644 --- a/src/G2a_oemof_busses_and_componets.py +++ b/src/G2a_oemof_busses_and_componets.py @@ -346,7 +346,11 @@ def inverter_dc_ac_oem( return inverter_dc_ac -def genset_fix( +LOG_MESSAGE_GENSET_FIX_CAPACITY_FIX_EFFICIENCY_NO_MINLOAD = ( + "Genset with fix capacity, fix efficiency and no minimal loading" +) + +def genset_fix_capacity_fix_efficiency_no_minload( micro_grid_system, bus_fuel, bus_electricity_ac, @@ -354,7 +358,9 @@ def genset_fix( capacity_fuel_gen, number_of_equal_generators, ): - logging.debug("Added to oemof model: genset fix no minload") + logging.debug( + f"Added to oemof model: {LOG_MESSAGE_GENSET_FIX_CAPACITY_FIX_EFFICIENCY_NO_MINLOAD}" + ) dict_of_generators = {} for number in range(1, number_of_equal_generators + 1): genset = solph.Transformer( @@ -373,7 +379,77 @@ def genset_fix( return dict_of_generators -def genset_fix_minload( +LOG_MESSAGE_GENSET_FIX_CAPACITY_EFFICIENCY_CURVE_AND_MINLOAD = ( + "Genset with fix capacity, efficiency curve and minimal loading" +) + + +def genset_fix_capacity_efficiency_curve_and_minimal_loading( + micro_grid_system, + bus_fuel, + bus_electricity_ac, + experiment, + capacity_fuel_gen, + number_of_equal_generators, + minimal_loading = False +): + if minimal_loading is False: + if experiment[GENSET_MIN_LOADING] != 0 or experiment[GENSET_MAX_LOADING] != 1: + logging.warning( + f"According to the case definition, the scenario should not consider minimal loading. Therefore, {GENSET_MIN_LOADING} will be set to 0 and {GENSET_MAX_LOADING} to 1, eventhough they were originally defined as {experiment[GENSET_MIN_LOADING]}/{experiment[GENSET_MAX_LOADING]}.") + experiment.update({GENSET_MIN_LOADING: 0}) + experiment.update({GENSET_MAX_LOADING: 1}) + + eta_min = experiment[GENSET_EFFICIENCY]/2 # efficiency at minimal operation point + eta_max = experiment[GENSET_EFFICIENCY] # efficiency at nominal operation point + + min = experiment[GENSET_MIN_LOADING] + max = experiment[GENSET_MAX_LOADING] + + P_out_min = capacity_fuel_gen / number_of_equal_generators * min # absolute minimal output power + P_out_max = capacity_fuel_gen / number_of_equal_generators * max # absolute nominal output power + + # calculate limits of input power flow + P_in_min = P_out_min / eta_min + P_in_max = P_out_max / eta_max + + # calculate coefficients of input-output line equation + c1 = (P_out_max - P_out_min) / (P_in_max - P_in_min) + c0 = P_out_max - c1 * P_in_max + + logging.debug(f"The diesel generator is simulated as an OffsetTransformer " + f"with a minimal output of {P_out_min} and maximal output of {P_out_max}.") + logging.debug( + f"Added to oemof model: {LOG_MESSAGE_GENSET_FIX_CAPACITY_EFFICIENCY_CURVE_AND_MINLOAD}" + ) + dict_of_generators = {} + for number in range(1, number_of_equal_generators + 1): + genset = solph.OffsetTransformer( + label="transformer_genset_" + str(number), + inputs={bus_fuel: solph.Flow( + nominal_value=P_in_max, + min=P_in_min / P_in_max, + max=1, + nonconvex=solph.NonConvex() + )}, + outputs={ + bus_electricity_ac: solph.Flow(variable_costs=experiment["genset_cost_var"]) + }, + coefficients=(c0, c1) + ) + + micro_grid_system.add(genset) + dict_of_generators.update({number: genset}) + + return dict_of_generators + + +LOG_MESSAGE_GENSET_FIX_CAPACITY_FIX_EFFICIENCY_WITH_MINLOAD = ( + "Genset with fix capacity, fix efficiency and with minimal loading" +) + + +def genset_fix_capacity_fix_efficiency_with_minload( micro_grid_system, bus_fuel, bus_electricity_ac, @@ -388,7 +464,9 @@ def genset_fix_minload( (which would result in an error due to constraint 'NonConvexFlow.min'). """ - logging.debug("Added to oemof model: genset fix minload") + logging.debug( + f"Added to oemof model: {LOG_MESSAGE_GENSET_FIX_CAPACITY_FIX_EFFICIENCY_WITH_MINLOAD}" + ) dict_of_generators = {} for number in range(1, number_of_equal_generators + 1): genset = solph.Transformer( @@ -411,14 +489,21 @@ def genset_fix_minload( return dict_of_generators -def genset_oem( +LOG_MESSAGE_GENSET_OEM_FIX_EFFICIENCY_NO_MINLOAD = ( + "Genset for capacity optimizaion (OEM) with fix efficiency and no minimal loading" +) + + +def genset_oem_fix_efficiency_no_minload( micro_grid_system, bus_fuel, bus_electricity_ac, experiment, number_of_generators, ): """ - Generates fossi-fueled genset "transformer_fuel_generator" for OEM with generator efficiency, + Generates fossil-fueled genset "transformer_fuel_generator" for OEM with fix generator efficiency, investment and variable costs. """ - logging.debug("Added to oemof model: genset oem no minload") + logging.debug( + f"Added to oemof model: {LOG_MESSAGE_GENSET_OEM_FIX_EFFICIENCY_NO_MINLOAD}." + ) dict_of_generators = {} for number in range(1, number_of_generators + 1): genset = solph.Transformer( @@ -576,7 +661,11 @@ def pointofcoupling_consumption_oem( def storage_fix( - micro_grid_system, bus_electricity_dc, experiment, capacity_storage, power_storage, + micro_grid_system, + bus_electricity_dc, + experiment, + capacity_storage, + power_storage, ): """ Create storage unit "generic_storage" with fixed capacity, diff --git a/src/G3_oemof_evaluate.py b/src/G3_oemof_evaluate.py index 8af664aa..3a325495 100644 --- a/src/G3_oemof_evaluate.py +++ b/src/G3_oemof_evaluate.py @@ -118,6 +118,8 @@ DEMAND_AC, DEMAND_DC, GENSET_HOURS_OF_OPERATION, + CONSUMPTION_FUEL_TIMESERIES_KWH, + EFFICIENCY_GENSET_TIMESERIES, ) @@ -223,7 +225,10 @@ def get_shortage( demand_supplied = e_flows_df[DEMAND] - shortage annual_value( - TOTAL_DEMAND_SUPPLIED_ANNUAL_KWH, demand_supplied, oemof_results, case_dict, + TOTAL_DEMAND_SUPPLIED_ANNUAL_KWH, + demand_supplied, + oemof_results, + case_dict, ) annual_value( TOTAL_DEMAND_SHORTAGE_ANNUAL_KWH, shortage, oemof_results, case_dict @@ -395,7 +400,10 @@ def get_inverter( e_flows_df = join_e_flows_df(inverter_in, INVERTER_INPUT, e_flows_df) annual_value( - TOTAL_INVERTER_DC_AC_THROUGHPUT_KWH, inverter_in, oemof_results, case_dict, + TOTAL_INVERTER_DC_AC_THROUGHPUT_KWH, + inverter_in, + oemof_results, + case_dict, ) else: oemof_results.update({TOTAL_INVERTER_DC_AC_THROUGHPUT_KWH: 0}) @@ -471,7 +479,10 @@ def get_genset(case_dict, oemof_results, electricity_bus_ac, e_flows_df): total_genset = genset for number in range(2, case_dict[NUMBER_OF_EQUAL_GENERATORS] + 1): genset = electricity_bus_ac[SEQUENCES][ - ((TRANSFORMER_GENSET_ + str(number), BUS_ELECTRICITY_AC), FLOW,) + ( + (TRANSFORMER_GENSET_ + str(number), BUS_ELECTRICITY_AC), + FLOW, + ) ] e_flows_df = join_e_flows_df( genset, "Genset " + str(number) + " generation", e_flows_df @@ -490,7 +501,10 @@ def get_genset(case_dict, oemof_results, electricity_bus_ac, e_flows_df): genset_capacity = 0 for number in range(1, case_dict[NUMBER_OF_EQUAL_GENERATORS] + 1): genset_capacity += electricity_bus_ac[SCALARS][ - ((TRANSFORMER_GENSET_ + str(number), BUS_ELECTRICITY_AC), INVEST,) + ( + (TRANSFORMER_GENSET_ + str(number), BUS_ELECTRICITY_AC), + INVEST, + ) ] oemof_results.update({CAPACITY_GENSET_KW: genset_capacity}) elif isinstance(case_dict[GENSET_FIXED_CAPACITY], float): @@ -529,15 +543,35 @@ def get_hours_of_operation(oemof_results, case_dict, genset_generation_total): return operation_boolean -def get_fuel(case_dict, oemof_results, results): +def get_fuel(case_dict, oemof_results, results, e_flows_df): logging.debug("Evaluate flow: fuel") if case_dict[GENSET_FIXED_CAPACITY] != None: fuel_bus = solph.views.node(results, BUS_FUEL) fuel = fuel_bus[SEQUENCES][((SOURCE_FUEL, BUS_FUEL), FLOW)] + e_flows_df = join_e_flows_df(fuel, CONSUMPTION_FUEL_TIMESERIES_KWH, e_flows_df) annual_value(CONSUMPTION_FUEL_ANNUAL_KWH, fuel, oemof_results, case_dict) else: oemof_results.update({CONSUMPTION_FUEL_ANNUAL_KWH: 0}) - return + return e_flows_df + + +def get_efficiency_genset(e_flows_df): + if ( + CONSUMPTION_FUEL_TIMESERIES_KWH in e_flows_df.columns + and GENSET_GENERATION in e_flows_df.columns + ): + logging.debug("Evaluate diesel generator efficiency:") + efficiency_timeseries = ( + e_flows_df[GENSET_GENERATION] / e_flows_df[CONSUMPTION_FUEL_TIMESERIES_KWH] + ) + average_efficiency = efficiency_timeseries.values.mean() + e_flows_df = join_e_flows_df( + efficiency_timeseries, EFFICIENCY_GENSET_TIMESERIES, e_flows_df + ) + logging.debug( + f"The average efficiency of the diesel generators is {average_efficiency}. Please note that this is based on the aggregated generation of all diesel generators, and may or may not include a fix efficiency, minimal loading or efficiency curve. Check column {EFFICIENCY_GENSET_TIMESERIES} in the csv output of the electricity side of the MG for details." + ) + return e_flows_df def get_storage(case_dict, oemof_results, experiment, results, e_flows_df): @@ -604,7 +638,10 @@ def get_storage(case_dict, oemof_results, experiment, results, e_flows_df): ] oemof_results.update( - {CAPACITY_STORAGE_KWH: storage_capacity, POWER_STORAGE_KW: storage_power,} + { + CAPACITY_STORAGE_KWH: storage_capacity, + POWER_STORAGE_KW: storage_power, + } ) elif isinstance(case_dict[STORAGE_FIXED_CAPACITY], float): @@ -669,7 +706,10 @@ def get_national_grid(case_dict, oemof_results, results, e_flows_df, grid_availa results, BUS_ELECTRICITY_NG_CONSUMPTION ) consumption_utility_side = bus_electricity_ng_consumption[SEQUENCES][ - ((BUS_ELECTRICITY_NG_CONSUMPTION, TRANSFORMER_PCC_CONSUMPTION), FLOW,) + ( + (BUS_ELECTRICITY_NG_CONSUMPTION, TRANSFORMER_PCC_CONSUMPTION), + FLOW, + ) ] e_flows_df = join_e_flows_df( consumption_utility_side, diff --git a/src/G4_output_functions.py b/src/G4_output_functions.py index ffca2fed..6c1ff41e 100644 --- a/src/G4_output_functions.py +++ b/src/G4_output_functions.py @@ -64,6 +64,9 @@ SUFFIX_STORAGE_CSV, SUFFIX_STORAGE_PNG, SUFFIX_STORAGE_4DAYS_PNG, + CONSUMPTION_FUEL_TIMESERIES_KWH, + EFFICIENCY_GENSET_TIMESERIES, + GENSET_WITH_EFFICIENCY_CURVE, ) @@ -110,6 +113,8 @@ def save_mg_flows(experiment, case_dict, e_flows_df, filename): STORAGE_CHARGE_DC, GENSET_GENERATION, GRID_AVAILABILITY, + CONSUMPTION_FUEL_TIMESERIES_KWH, + EFFICIENCY_GENSET_TIMESERIES, ] negative_list = [ @@ -133,6 +138,8 @@ def save_mg_flows(experiment, case_dict, e_flows_df, filename): STORAGE_DISCHARGE_DC, STORAGE_CHARGE_AC, STORAGE_CHARGE_DC, + CONSUMPTION_FUEL_TIMESERIES_KWH, + EFFICIENCY_GENSET_TIMESERIES, ] mg_flows = pd.DataFrame( @@ -186,6 +193,32 @@ def save_mg_flows(experiment, case_dict, e_flows_df, filename): + filename + SUFFIX_ELECTRICITY_MG_CSV ) + if ( + experiment[SAVE_TO_PNG_FLOWS_ELECTRICITY_MG] is True + and case_dict[GENSET_WITH_EFFICIENCY_CURVE] is True + ): + if ( + EFFICIENCY_GENSET_TIMESERIES in e_flows_df.columns + and GENSET_GENERATION in e_flows_df.columns + ): + logging.debug(f"Plotting efficiency curve of the diesel generator.") + plt.scatter( + x=e_flows_df[GENSET_GENERATION], + y=e_flows_df[EFFICIENCY_GENSET_TIMESERIES], + ) + plt.xlabel(GENSET_GENERATION) + plt.ylabel("Generator efficiency curve") + plt.savefig( + experiment[OUTPUT_FOLDER] + + "/electricity_mg/" + + case_dict[CASE_NAME] + + filename + + "_efficiency_curve_genset.png", + bbox_inches="tight", + ) + plt.close() + plt.clf() + plt.cla() if experiment[SAVE_TO_PNG_FLOWS_ELECTRICITY_MG] is True: number_of_subplots = 0 diff --git a/src/constants.py b/src/constants.py index f76cce09..56e8b934 100644 --- a/src/constants.py +++ b/src/constants.py @@ -7,6 +7,25 @@ # Default input file INPUT_TEMPLATE_EXCEL_XLSX = "inputs/input_template_excel.xlsx" +# Default folder names +OEMOF_FOLDER = "/oemof" +INPUTS_FOLDER = "/inputs" +ELECTRICITY_MG_FOLDER = "/electricity_mg" +STORAGE_FOLDER = "/storage" +LP_FILES_FOLDER = "/lp_files" +PYTEST_FOLDER = "tests" + +# Default file names +GRID_AVAILABILITY_CSV = "grid_availability.csv" +SENSITIVITY_EXPERIMENTS_CSV = "sensitivity_experiments.csv" +SIMULATION_EXPERIMENTS_CSV = "simulation_experiments.csv" +SUFFIX_ELECTRICITY_MG_CSV = "_electricity_mg.csv" +SUFFIX_ELECTRICITY_MG_PNG = "_electricity_mg.png" +SUFFIX_ELECTRICITY_MG_4DAYS_PNG = "_electricity_mg_4days.png" +SUFFIX_STORAGE_CSV = "_storage.csv" +SUFFIX_STORAGE_PNG = "_storage.png" +SUFFIX_STORAGE_4DAYS_PNG = "_storage_4days.png" + # A1_GENERAL_FUNCTIONS CAPACITY_PV_KWP = "capacity_pv_kWp" CAPACITY_WIND_KW = "capacity_wind_kW" @@ -66,15 +85,6 @@ AC_SYSTEM = "AC_system" DC_SYSTEM = "DC_system" SEPARATOR = "seperator" -GRID_AVAILABILITY_CSV = "grid_availability.csv" - -INPUT_TEMPLATE_EXCEL_XLSX = "inputs/input_template_excel.xlsx" - -OEMOF_FOLDER = "/oemof" -INPUTS_FOLDER = "/inputs" -ELECTRICITY_MG_FOLDER = "/electricity_mg" -STORAGE_FOLDER = "/storage" -LP_FILES_FOLDER = "/lp_files" # C_SENSITIVITY_EXPERIMENTS BLACKOUT_DURATION = "blackout_duration" @@ -175,7 +185,6 @@ CASE = "case" RESULTS_DEMAND_CHARACTERISTICS = "results_demand_characteristics" RESULTS_BLACKOUT_CHARACTERISTICS = "results_blackout_characteristics" -CAPACITY_INVERTER_KW = "capacity_inverter_kW" LCOE = "lcoe" ANNUITY = "annuity" NPV = "npv" @@ -236,9 +245,6 @@ CO2_EMISSIONS_KGC02EQ = "co2_emissions_kgCO2eq" TOTAL_EXCESS_ANNUAL_KWH = "total_excess_annual_kWh" -SENSITIVITY_EXPERIMENTS_CSV = "sensitivity_experiments.csv" -SIMULATION_EXPERIMENTS_CSV = "simulation_experiments.csv" - # D0_process_input PERFORM_SIMULATION = "perform_simulation" BASED_ON_CASE = "based_on_case" @@ -292,11 +298,10 @@ GRID_RELIABILITY = "grid_reliability" MAX_EVALUATED_DAYS = "max_evaluated_days" -GRID_AVAILABILITY_CSV = "grid_availability.csv" - # F_case_definitions PEAK_DEMAND = "peak_demand" GENSET_WITH_MINIMAL_LOADING = "genset_with_minimal_loading" +GENSET_WITH_EFFICIENCY_CURVE = "genset_with_efficiency_curve" CAPACITY_PCC_CONSUMPTION_KW = "capacity_pcc_consumption_kW" CAPACITY_PCC_FEEDING_KW = "capacity_pcc_feedin_kW" STORAGE_FIXED_CAPACITY = "storage_fixed_capacity" @@ -410,6 +415,8 @@ WIND_GENERATION = "Wind generation" TRANSFORMER_GENSET_1 = "transformer_genset_1" GENSET_1_GENERATION = "Genset 1 generation" +CONSUMPTION_FUEL_TIMESERIES_KWH = "consumption_fuel_kWh" +EFFICIENCY_GENSET_TIMESERIES = "efficiency_generator" CONSUMPTION_FUEL_ANNUAL_KWH = "consumption_fuel_annual_kWh" CAPACITY = "capacity" TOTAL_STORAGE_THOUGHPUT_KWH = "total_storage_throughput_kWh" @@ -460,14 +467,8 @@ SUFFIX_GRAPH = "_graph" BASE_OEM = "base_oem" BASE_OEM_WITH_MIN_LOADING = "base_oem_with_min_loading" -SUFFIX_ELECTRICITY_MG_CSV = "_electricity_mg.csv" -SUFFIX_ELECTRICITY_MG_PNG = "_electricity_mg.png" -SUFFIX_ELECTRICITY_MG_4DAYS_PNG = "_electricity_mg_4days.png" -SUFFIX_STORAGE_CSV = "_storage.csv" -SUFFIX_STORAGE_PNG = "_storage.png" -SUFFIX_STORAGE_4DAYS_PNG = "_storage_4days.png" -# H0 +# H0 - Multi-Criteria Assessment (MCA) CAPACITIES = "capacities" EVALUATIONS = "evaluations" NORMALIZED_EVALUATIONS = "normalized_evaluations" @@ -488,7 +489,7 @@ DIMENSIONS_W = "Dimensions" # dimension_weights LOCAL = "local" -# H1 +# H1 - Multi-Criteria Assessment (MCA) ECONOMIC = "economic" TECHNICAL = "technical" SOCIOINSTITUTIONAL = "socioinstitutional" diff --git a/tests/benchmark_tests/generator_with_efficiency_curve.xlsx b/tests/benchmark_tests/generator_with_efficiency_curve.xlsx new file mode 100644 index 00000000..81fb9113 Binary files /dev/null and b/tests/benchmark_tests/generator_with_efficiency_curve.xlsx differ diff --git a/tests/benchmark_tests/timeseries/test_site.csv b/tests/benchmark_tests/timeseries/test_site.csv new file mode 100644 index 00000000..d329b695 --- /dev/null +++ b/tests/benchmark_tests/timeseries/test_site.csv @@ -0,0 +1,8761 @@ +Demand;SolarGen;Wind +4.22474;0.0;0.032 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src.constants import ( + GENSET_WITH_EFFICIENCY_CURVE, + CAPACITY_GENSET_KW, + OEM, + GENSET_WITH_MINIMAL_LOADING, + PEAK_DEMAND, +) + + +def test_process_generator_settings_missing_new_parameter(caplog): + test_dict = {CAPACITY_GENSET_KW: OEM, GENSET_WITH_MINIMAL_LOADING: True} + with caplog.at_level(logging.WARNING): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + B.MISSING_PARAMETER_WARNING in caplog.text + ), f"A warning message that a parameter is missing should be displayed." + + +def test_process_generator_settings_no_generator(caplog): + test_dict = { + CAPACITY_GENSET_KW: None, + GENSET_WITH_MINIMAL_LOADING: True, + GENSET_WITH_EFFICIENCY_CURVE: True, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + " does not include a generator." in caplog.text + ), f"No generator is in the system, but it seems that this is not recognized." + + +def test_process_generator_settings_peak_demand_sized_generator_fix_eff_no_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: PEAK_DEMAND, + GENSET_WITH_MINIMAL_LOADING: False, + GENSET_WITH_EFFICIENCY_CURVE: False, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "has a generator with fixed capacity" in caplog.text + ), f"If the generator is of fix capacity predetermined by {PEAK_DEMAND}, all generator types can be used for the simulation." + + +def test_process_generator_settings_peak_demand_sized_generator_fix_eff_with_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: PEAK_DEMAND, + GENSET_WITH_MINIMAL_LOADING: True, + GENSET_WITH_EFFICIENCY_CURVE: False, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "has a generator with fixed capacity" in caplog.text + ), f"If the generator is of fix capacity predetermined by {PEAK_DEMAND}, all generator types can be used for the simulation." + + +def test_process_generator_settings_peak_demand_sized_generator_var_eff_no_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: PEAK_DEMAND, + GENSET_WITH_MINIMAL_LOADING: False, + GENSET_WITH_EFFICIENCY_CURVE: True, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "has a generator with fixed capacity" in caplog.text + ), f"If the generator is of fix capacity predetermined by {PEAK_DEMAND}, all generator types can be used for the simulation." + + with caplog.at_level(logging.WARNING): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + B.NO_MINIMAL_LOADING_WITH_OFFSET_TRANSFORMER in caplog.text + ), f"If the generator is of fix capacity predetermined by {PEAK_DEMAND}, all generator types can be used for the simulation. Here, the efficiency curve is used but not the minload, so a warning message should be displayed: {B.NO_MINIMAL_LOADING_WITH_OFFSET_TRANSFORMER}" + + +def test_process_generator_settings_peak_demand_sized_generator_var_eff_with_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: PEAK_DEMAND, + GENSET_WITH_MINIMAL_LOADING: True, + GENSET_WITH_EFFICIENCY_CURVE: True, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "has a generator with fixed capacity" in caplog.text + ), f"If the generator is of fix capacity predetermined by {PEAK_DEMAND}, all generator types can be used for the simulation." + + +def test_process_generator_settings_generator_to_be_optimized_fix_eff_no_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: OEM, + GENSET_WITH_MINIMAL_LOADING: False, + GENSET_WITH_EFFICIENCY_CURVE: False, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "should be optimized." in caplog.text + ), f"A message should be shown that this generator is supposed to be optimized." + + +def test_process_generator_settings_generator_to_be_optimized_fix_eff_with_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: OEM, + GENSET_WITH_MINIMAL_LOADING: True, + GENSET_WITH_EFFICIENCY_CURVE: False, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "should be optimized." in caplog.text + ), f"A message should be shown that this generator is supposed to be optimized." + + with caplog.at_level(logging.WARNING): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + B.OPTIMIZATION_NOT_POSSIBLE_MINLOAD_OEM in caplog.text + ), f"This warning message should be displayed: {B.OPTIMIZATION_NOT_POSSIBLE_MINLOAD_OEM}" + + +def test_process_generator_settings_generator_to_be_optimized_var_eff_with_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: OEM, + GENSET_WITH_MINIMAL_LOADING: True, + GENSET_WITH_EFFICIENCY_CURVE: True, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "should be optimized." in caplog.text + ), f"A message should be shown that this generator is supposed to be optimized." + with caplog.at_level(logging.ERROR): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + B.OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM in caplog.text + ), f"This warning message should be displayed: {B.OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM}" + + +def test_process_generator_settings_generator_to_be_optimized_var_eff_no_minload( + caplog, +): + test_dict = { + CAPACITY_GENSET_KW: OEM, + GENSET_WITH_MINIMAL_LOADING: False, + GENSET_WITH_EFFICIENCY_CURVE: True, + } + with caplog.at_level(logging.DEBUG): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + "should be optimized." in caplog.text + ), f"A message should be shown that this generator is supposed to be optimized." + with caplog.at_level(logging.ERROR): + B.process_generator_settings(case_definition=test_dict, case="case") + assert ( + B.OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM in caplog.text + ), f"This warning message should be displayed: {B.OPTIMIZATION_NOT_POSSIBLE_OFFSET_TRANSFORMER_OEM}" diff --git a/tests/test_G3_oemof_evaluation.py b/tests/test_G3_oemof_evaluation.py index 75dd7a74..1672d138 100644 --- a/tests/test_G3_oemof_evaluation.py +++ b/tests/test_G3_oemof_evaluation.py @@ -18,7 +18,7 @@ def test_get_hours_of_operation(): operation_boolean.sum() == 2 ), f"It was expected that the number of operation hours in the evaluated timeframe was 2, but it is {operation_boolean.sum()}." assert_series_equal( - genset_generation.astype(np.float64), exp(np.float64), check_names=False, + operation_boolean.astype(np.float64), exp.astype(np.float64), check_names=False, ), f"The operational hours pd.Series should be the same when calculated with the function to the expected series." assert ( GENSET_HOURS_OF_OPERATION in oemof_results diff --git a/tests/test_basic.py b/tests/test_basic.py index 7c859514..b4ea3c14 100644 --- a/tests/test_basic.py +++ b/tests/test_basic.py @@ -6,18 +6,4 @@ def test_execution_not_terminated(): answer = main(input_file=os.path.join("tests", "inputs", "pytest_test.xlsx")) - assert answer == 1, f"Simulation with default inputs terminated." - - -""" -def test_blacks_main(): - # Testing code formatting in main folder - r = os.system("black --check /src") - assert r == 0, f"Black exited with:\n {r}" - - -def test_blacks_code_folder(): - # Testing code formatting in code folder - r = os.system("black --check /tests") - assert r == 0, f"Black exited with:\n {r}" -""" + assert answer == 1, f"Simulation with default inputs terminated." \ No newline at end of file diff --git a/tests/test_benchmark.py b/tests/test_benchmark.py new file mode 100644 index 00000000..1eb068ee --- /dev/null +++ b/tests/test_benchmark.py @@ -0,0 +1,18 @@ +import pytest +import os +import logging + +from ..Offgridders import main +from src.constants import PYTEST_FOLDER + +BENCHMARK_TEST_FOLDER = "benchmark_tests" + +def test_benchmark_OffsetGenerator(caplog): + """The input file defines two cases: One diesel generator with fix efficiency which is to be optimized, and diesel + generator with efficiency curve and minimal loading whose capacity is defined by the first optimization.""" + benchmark_test_file = os.path.join( + PYTEST_FOLDER, BENCHMARK_TEST_FOLDER, "generator_with_efficiency_curve.xlsx" + ) + + answer = main(input_file=benchmark_test_file) + assert answer == 1, f"The simulation terminated for the different combinations of input files." \ No newline at end of file