| Author institution
|
Environmental Defense Fund +
|
| Authors
|
Matthias Fripp, Josiah Johnston, Rodrigo Henríquez, Benjamín Maluenda +
|
| Citation references
|
J. Johnston, R. Henríquez, B. Maluenda and M. Fripp “Switch 2.0: a modern platform for planning high-renewable power systems,” Preprint, 2018. https://arxiv.org/abs/1804.05481
|
| Computation time comments
|
computation time is roughly cubic with the spatial and temporal resolution selected; users typically adjust resolution to achieve 2-10 min solution time in testing phases, 10-60 min solution time for final optimizations
|
| Computation time minutes
|
20 +
|
| Contact email
|
mfripp@edf.org +
|
| Contact persons
|
Matthias Fripp +
|
| Data availability
|
all +
|
| Decisions
|
dispatch +
, investment +
|
| Deterministic
|
stochastic treatment of hourly renewable variability; allocation of reserves for sub-hourly variability; scenarios or progressive hedging for uncertain annual weather or fuel or equipment costs +
|
| Example research questions
|
identify least-cost combination of resourc … identify least-cost combination of resources to reach 100% renewable power; calculate cost of achieving various renewable or carbon targets; select assets to minimize cost for a microgrid, possibly interacting with outside electricity supplier; calculate effect of price-responsive demand on consumer welfare while adopting renewable powermer welfare while adopting renewable power
|
| Full Model Name
|
Switch +
|
| Georesolution
|
buildings, microgrids, city, state, national or continental +
|
| Is suited for many scenarios
|
true +
|
| License
|
Apache License 2.0 (Apache-2.0) +
|
| Math modeltype
|
Optimization +
|
| Math modeltype shortdesc
|
intertemporal mathematical optimization +
|
| Math objective
|
total cost or consumer surplus, including environmental adders +
|
| Model class
|
Power system capacity expansion +
, energy system +
|
| Model source public
|
true +
|
| Modelling software
|
Python, Pyomo +
|
| Network coverage
|
transmission +
, distribution +
, AC load flow +
, DC load flow +
, net transfer capacities +
|
| Open future
|
false +
|
| Open source licensed
|
true +
|
| Processing software
|
Python, any user-selected software +
|
| Sectors
|
electricity +
, gas +
, hydrologic +
, transport +
, end-use demand +
, carbon sequestration; user-extendable +
|
| Source download
|
https://github.com/switch-model/switch +
|
| Technologies
|
Renewables +
, Conventional Generation +
, CHP +
|
| Text description
|
Switch is a capacity-planning model for po … 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.ents as first-class elements in the model.
|
| Timeresolution
|
Hour +
|
| Website
|
http://switch-model.org +
|
| Creation dateThis property is a special property in this wiki.
|
30 January 2019 20:43:42 +
|
| Categories |
Model +
|
| Last editor isThis property is a special property in this wiki.
|
User:Matthias Fripp +
|
| Modification dateThis property is a special property in this wiki.
|
10 November 2023 23:58:54 +
|
| Is a new pageThis property is a special property in this wiki.
|
false +
|
