Switch - Revision history

Matthias Fripp at 23:58, 10 November 2023

2023-11-10T23:58:54Z

Show changes

Matthias Fripp at 01:50, 31 January 2019

2019-01-31T01:50:47Z

Matthias Fripp: Initial submission (more details will be added later)

2019-01-30T20:43:42Z

Initial submission (more details will be added later)

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{{Model
|Full_Model_Name=Switch
|author_institution=University of Hawaii
|authors=Matthias Fripp, Josiah Johnston, Rodrigo Henríquez, Benjamín Maluenda
|contact_persons=Matthias Fripp
|contact_email=mfripp@hawaii.edu
|website=http://switch-model.org
|source_download=https://github.com/switch-model/switch
|text_description=Switch is a capacity-planning model for power systems with large shares of renewable energy, storage and/or demand response. It optimizes investment decisions for renewable and conventional generation, storage, hydro and other assets, based on how they would be used during a collection of sample days in many future years. The use of multiple investment periods and chronologically sequenced hours enables optimization and assessment of a long-term renewable transition based on a direct consideration of how these resources would be used hour-by-hour. The Switch platform is highly modular, allowing easy selection between prewritten components or addition of custom components as first-class elements in the model.
|Primary purpose=design and assessment of high-renewable power systems
|Primary outputs=optimal investment plans, hourly operational details, emissions, costs
|Support=contact authors via http://switch-model.org
|Framework=Pyomo
|User documentation=http://switch-model.org
|Code documentation=http://switch-model.org
|Source of funding=U.S. Dept. of Energy, U.S. Enviro. Protection Agency, Ulupono Initiative, Blue Planet Foundation
|Number of developers=4
|Number of users=20
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|Link to source=https://github.com/switch-model/switch
|data_availability=all
|open_future=No
|modelling_software=Python, Pyomo
|processing_software=Python, any user-selected software
|External optimizer=glpk, cbc, cplex, gurobi, any Pyomo- (or AMPL-) compatible solver
|Primary purpose=design and assessment of high-renewable power systems
|GUI=No
|model_class=Power system capacity expansion, energy system
|sectors=electricity, gas, hydrologic, transport, end-use demand, carbon sequestration; user-extendable
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Ethanol, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Transmission
|Transfer (Gas)=Transmission
|Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|User behaviour=flexible timing of electricity consumption based on price or direct optimization
|Market models=customer, IOU or RTO; carbon tax, cap-and-trade, RPS or renewable subsidies
|decisions=dispatch, investment
|Changes in efficiency=part-load efficiency and startup fuel are included; users could extend to include environmental factors
|georesolution=buildings, microgrids, city, state, national or continental
|timeresolution=Hour
|network_coverage=transmission, distribution, AC load flow, DC load flow, net transfer capacities
|Observation period=More than one year
|Additional dimensions (Ecological)=currently includes greenhouse gas emissions and land use (based on investment choices); extendable to include other factors
|Additional dimensions (Economical)=multi-decade NPV, annual capital and O&M expenditure, hourly prices, consumer expenditure, net welfare
|Additional dimensions (Social)=user-extendable as needed
|Additional dimensions (Other)=user-extendable as needed
|math_modeltype=Optimization
|math_modeltype_shortdesc=intertemporal mathematical optimization
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 8: / Line 8: @@
 |source_download=https://github.com/switch-model/switch
 |text_description=Switch is a capacity-planning model for power systems with large shares of renewable energy, storage and/or demand response. It optimizes investment decisions for renewable and conventional generation, storage, hydro and other assets, based on how they would be used during a collection of sample days in many future years. The use of multiple investment periods and chronologically sequenced hours enables optimization and assessment of a long-term renewable transition based on a direct consideration of how these resources would be used hour-by-hour. The Switch platform is highly modular, allowing easy selection between prewritten components or addition of custom components as first-class elements in the model.
 |Primary outputs=optimal investment plans, hourly operational details, emissions, costs
 |Support=contact authors via http://switch-model.org
@@ Line 26: / Line 25: @@
 |processing_software=Python, any user-selected software
 |External optimizer=glpk, cbc, cplex, gurobi, any Pyomo- (or AMPL-) compatible solver
 |GUI=No
 |model_class=Power system capacity expansion, energy system
@@ Line 55: / Line 53: @@
 |math_modeltype=Optimization
 |math_modeltype_shortdesc=intertemporal mathematical optimization
-|is_suited_for_many_scenarios=No
+|math_objective=total cost or consumer surplus, including environmental adders
 |montecarlo=No
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}