Diesel Efficiency Component¶
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class
aaem.components.diesel_efficiency.component.DieselEfficiency(community_data, forecast, diag=None, prerequisites={})[source]¶ Bases:
aaem.components.annual_savings.annual_savings.AnnualSavingsDiesel Efficiency component of the Alaska Affordable Energy Model: This module estimates the potential reduction in diesel fuel use from improvements to the efficiency of a community’s diesel generation systems. Financial savings are from an assumed decrease in diesel oil used in generation. Costs of the improvements are based on the assumed capacity of the improved system.
Parameters: community_data : CommunityData
CommunityData Object for a community
forecast : Forecast
forecast for a community
diagnostics : diagnostics, optional
diagnostics for tracking error/warning messages
prerequisites : dictionary of components, optional
prerequisite component data this component has no prerequisites leave empty
See also
aaem.community_data- community data module, see information on CommunityData Object
aaem.forecast- forecast module, see information on Forecast Object
aaem.diagnostics- diagnostics module, see information on diagnostics Object
Attributes
diagnostics (diagnostics) for tracking error/warning messages initial value: diag or new diagnostics object forecast (forecast) community forecast for estimating future values initial value: forecast cd (dictionary) general data for a community. Initial value: ‘community’ section of community_data comp_specs (dictionary) component specific data for a community. Initial value: ‘Diesel Efficiency’ section of community_data Methods
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calc_annual_electric_savings()[source]¶ calculate annual electric savings created by the project
Attributes
annual_electric_savings (np.array) electric savings ($/year) are the difference in the base and proposed fuel costs
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calc_annual_heating_savings()[source]¶ calculate annual heating savings created by the project
Attributes
annual_heating_savings (flaot) no savings from heating
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calc_average_load()[source]¶ calculate the average load of the system
Attributes
generation: array array of diesel generation values per year (kWh/year) average_load: float average diesel generation load in first year of project (kW)
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calc_baseline_generation_fuel_use()[source]¶ calculates baseline generation fuel use
Attributes
baseline_diesel_efficiency (float) the diesel generation efficiency before any improvements are made (Gal/kWh) [ baseline_generation_fuel_use (np.array) fuel used per year before improvements (gal)
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calc_capital_costs()[source]¶ calculate the capital costs
Attributes
capital_costs (float) total cost of improvements ($), calculated from max_capacity
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calc_max_capacity()[source]¶ calculate max load and capacity
Attributes
max_load (float) maximum load over project lifetime (KWh) max_capacity: float proposed max capacity (KWh)
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calc_oppex()[source]¶ calculate the operational costs
Attributes
oppex (float) operational costs per year ($) read from o&m costs table
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calc_proposed_generation_fuel_use()[source]¶ calculates proposed generation fuel use
Attributes
proposed_diesel_efficiency (float) the diesel generation efficiency before any improvements are made (Gal/kWh) proposed_generation_fuel_use (np.array) fuel used per year after improvements (gal)
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get_total_energy_produced()[source]¶ get total energy produced
Returns: float
the total energy produced
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run(scalers={'capital costs': 1.0})[source]¶ runs the component. The Annual Total Savings,Annual Costs, Annual Net Benefit, NPV Benefits, NPV Costs, NPV Net Benefits, Benefit Cost Ratio, Levelized Cost of Energy, and Internal Rate of Return will all be calculated. There must be a known Heat Recovery project for this component to run.
Parameters: scalers: dictionary of valid scalers, optional
Scalers to adjust normal run variables. See note on accepted scalers
Notes
Accepted scalers: capital costs.
Attributes
run (bool) True in the component runs to completion, False otherwise reason (string) lists reason for failure if run == False
Diesel Efficiency Configuration¶
- Contains configuration info for community data yaml file, and
- other set-up requirements
Diesel Efficiency inputs¶
input functions for Diesel Efficiency component
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aaem.components.diesel_efficiency.inputs.process_data_import(data_dir)¶ reads input data from “diesel_data.csv”
Parameters: data_dir : path
the path to the input data directory
Returns: dict
diesel power house data
Diesel Efficiency Outputs¶
output functions for Diesel Efficiency component
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aaem.components.diesel_efficiency.outputs.communities_summary(coms, res_dir)[source]¶ Saves the summary by: community diesel_efficiency_summary.csv
Parameters: coms : dictionary
results from the model, dictionary with each community or project as key
res_dir : path
location to save file
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aaem.components.diesel_efficiency.outputs.component_summary(results, res_dir)[source]¶ Creates the regional and communities summary for the component in provided directory
Parameters: results : dictionary
results from the model, dictionary with each community or project as key
res_dir : path
location to save file
Diesel Efficiency preprocessing¶
preprocessing functions for Diesel Efficiency component