Switch

[mfripp]

Name

Switch

Screenshots

Focus Topic

Uses a highly efficient sampling approach to represent sequential hourly operation during multiple future years, to enable optimization of high-renewable power system designs

Primary Purpose

Highly configurable tool for capacity optimization or production cost modeling with large shares of renewable energy, storage and demand response

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, battery or hydrogen 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.

Written in Python, using Pyomo optimization framework. Models can be solved with any external solver (e.g., GLPK, COIN CBC, CPLEX or Gurobi).

Mathematical Description

Minimize net present value of all capital recovery and operating costs over a multi-decade horizon. Core formulation is very simple — just requires balancing supply and demand in each region during each timestep. Then built-in or user-provided modules adjust the energy balance (adding elements to the supply or demand side) and the cost calculation (adding costs or netting out external benefits for some economic models). All components of the model are then optimized together. Modules can also introduce iterative behavior, e.g., an advanced demand response module uses Dantzig-Wolfe decomposition to optimize with non-linear demand systems and an experimental security-constrained unit commitment module uses AC power flow to iteratively update an internal DC representation.

Website

https://switch-model.org

Documentation

https://switch-model.org/

Source

https://github.com/switch-model/switch

Year

2008

Institution

No response

Funding Source

No response

Publications

100?

Publication List

Overview

• Josiah Johnston, Rodrigo Henriquez-Auba, Benjamín Maluenda and Matthias Fripp. "Switch 2.0: A modern platform for planning high-renewable power systems." SoftwareX 10 (2019): 100251.
• Matthias Fripp. "Switch: A Planning Tool for Power Systems with Large Shares of Intermittent Renewable Energy." Environmental Science & Technology 46, no. 11 (2012): 6371-6378.

United States and Canada

Full U.S.

• Thuy Doan, Matthias Fripp and Michael Roberts. "Are We Building Too Much Natural Gas Pipeline? A comparison of actual US expansion of pipeline to an optimized model of the interstate network." (2022).

Western North America

• James Nelson, Josiah Johnston, Ana Mileva, Matthias Fripp, Ian Hoffman, Autumn Petros-Good, Christian Blanco and Daniel M. Kammen. "High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures." Energy Policy 43 (2012): 436-447.
• James H. Nelson. "Scenarios for Deep Carbon Emission Reductions from Electricity by 2050 in Western North America Using the SWITCH Electric Power Sector Planning Model." Ph.D. dissertation,, University of California, Berkeley (2013).
• Ana Mileva, James H. Nelson, Josiah Johnston and Daniel M. Kammen. "SunShot solar power reduces costs and uncertainty in future low-carbon electricity systems." Environmental Science & Technology 47, no. 16 (2013): 9053-9060.
• James Nelson, Ana Mileva, Josiah Johnston, Daniel Kammen, Max Wei and Jeffrey Greenblatt. "Scenarios for Deep Carbon Emission Reductions from Electricity by 2050 in Western North America using the SWITCH Electric Power Sector Planning Model: California’s Carbon Challenge Phase II Volume II." Lawrence Berkeley National Laboratory (2014).
• Ana Mileva. "Greenhouse gas emission reductions, system flexibility requirements, and drivers of storage deployment in the North American power system through 2050." Ph.D. dissertation, University of California, Berkeley (2014).
• Josiah Johnston. "Open and collaborative climate change mitigation planning for electric power grids." Ph.D. dissertation, University of California, Berkeley (2015).
• Daniel L. Sanchez, James H. Nelson, Josiah Johnston, Ana Mileva and Daniel M. Kammen. "Biomass enables the transition to a carbon-negative power system across western North America." Nature Climate Change 5, no. 3 (2015): 230-234.
• Daniel L. Sanchez. "Deployment, Design, and Commercialization of Carbon-­Negative Energy Systems." Ph.D. dissertation, University of California, Berkeley, 2015.
• Ana Mileva, Josiah Johnston, James H. Nelson and Daniel M. Kammen. "Power system balancing for deep decarbonization of the electricity sector." Applied Energy 162 (2016): 1001-1009.
• Patricia Hidalgo-Gonzalez. "Learning and Control Systems for the Integration of Renewable Energy into Grids of the Future." Ph.D. dissertation, University of California, Berkeley (2020).
• Julia Szinai, David N. Yates, Patricia Hidalgo-Gonzalez, Daniel M. Kammen, Ranjit Deshmukh, and Andrew D. Jones. "Evaluating Climate Change Adaptation Strategies for Electricity and Water Systems in the Western US with a Cross-Sectoral Energy-Water Nexus Modeling Approach." In AGU Fall Meeting Abstracts, vol. 2020: (2020) pp. GC064-07.
• Julia Katalin Szinai. "Crossed wires: Cross-sectoral dynamics of planning climate-resilient electricity systems." University of California, Berkeley, 2021.
• Patricia L. Hidalgo-Gonzalez, Josiah Johnston and Daniel M. Kammen. "Cost and impact of weak medium term policies in the electricity system in Western North America." The Electricity Journal 34, no. 3 (2021): 106925.
• Rodrigo Marti Henriquez Auba. "Challenges on Decarbonization of Electric Power Systems." (2022).
• P.A. Sánchez-Pérez, Martin Staadecker, Julia Szinai, Sarah Kurtz and Patricia Hidalgo-Gonzalez. "Effect of modeled time horizon on quantifying the need for long-duration storage." Applied Energy 317 (2022): 119022.
• Natalia Gonzalez, Paul Serna-Torre, Pedro Sanchez-Perez, Ryan Davidson, Bryan Murray, Martin Staadecker, Julia Szinai, Rachel Wei, Daniel Kammen, Deborah Sunter and Patricia Hidalgo-Gonzalez. "Offshore Wind and Wave Energy Can Reduce Total Installed Capacity Required in Zero Emissions Grids." (2023).

Texas

• Joshua D. Rhodes, Thomas Deetjen and Caitlin Smith. "Impacts of Large, Flexible Data Center Operations on the Future of ERCOT." Lancium White Paper. (2021).
• Joshua D. Rhodes and Thomas Deetjen. "Least-cost optimal expansion of the ERCOT grid." IdeaSmiths LLC. (2021).
• Sarah Emilee Dodamead."Exploring the Trade-offs Between Battery Storage and Transmission for the Electrical Grid." PhD diss., 2022.

California

• Matthias Fripp "Optimal investment in wind and solar power in California." Ph.D. dissertation, University of California, Berkeley (2008).
• Max Wei, James H. Nelson, Michael K. Ting, Christopher Yang, Jeffery B. Greenblatt, James E. McMahon, Daniel M. Kammen, Christopher M. Jones, Ana Mileva, Josiah Johnston and Ranjit Bharvirkar. "California’s Carbon Challenge: Scenarios for Achieving 80% Emissions Reduction in 2050." Lawrence Berkeley National Laboratory (2012).
• Max Wei, James H. Nelson, Jeffery B. Greenblatt, Ana Mileva, Josiah Johnston, Michael Ting, Christopher Yang, Chris Jones, James E McMahon and Daniel M Kammen. "Deep carbon reductions in California require electrification and integration across economic sectors." Environmental Research Letters 8, no. 1 (2013): 014038.
• Daniel M. Kammen, Blas L. Pérez Henrıquez and Josiah Johnston. "California’s climate policy and the development of clean energy systems institutional foundations." Carbon governance, climate change and business transformation (2014): 175-187.
• Max Wei, Jeffrey Greenblatt, Sally Donovan, James Nelson, Ana Mileva, Josiah Johnston and Daniel Kammen. "Scenarios for Meeting California's 2050 Climate Goals: California's Carbon Challenge Phase II Volume I: Non-Electricity Sectors and Overall Scenario Results." Lawrence Berkeley National Laboratory report no. LBNL-6743E (2014).
• Geoff Morrison, Sonia Yeh, Anthony R Eggert, Christopher Yang, James Nelson, Jeffery Greenblatt, Raphael Isaac, Mark Z Jacobson, Josiah Johnston, Daniel M Kammen, Ana Mileva, Jack Moore, David Roland-Holst, Max Wei, John Weyant, James Williams, Ray Williams and Christina Zapata. "Long-term Energy Planning In California: Insights and Future Modeling Needs." U.C. Davis Inst. of Transportation Studies report no. UCD-ITS-RR-14-08 (2014).
• Geoffrey M. Morrison, Sonia Yeh, Anthony R. Eggert, Christopher Yang, James H. Nelson, Jeffery B. Greenblatt, Raphael Isaac, Mark Z. Jacobson, Josiah Johnston, Daniel M. Kammen, Ana Mileva, Jack Moore, David Roland-Holst, Max Wei, John P. Weyant, James H. Williams, Ray Williams and Christina B. Zapata. "Comparison of low-carbon pathways for California." Climatic Change 131 (2015): 545-557
• Max Wei, Shuba V. Raghavan and Patricia Hidalgo-Gonzalez. "Building a Healthier and More Robust Future: 2050 Low-Carbon Energy Scenarios for California." California Energy Commission report no. CEC-500-2019-033 (2019).
• P. A. Sanchez-Perez, Sarah Kurtz, Natalia Gonzalez, Martin Staadecker and Patricia Hidalgo-Gonzalez. "Effect of Time Resolution on Capacity Expansion Modeling to Quantify Value of Long-Duration Energy Storage." 2022 IEEE Electrical Energy Storage Application and Technologies Conference (EESAT) (2022).

Hawaii

• Matthias Fripp. "Making an Optimal Plan for 100% Renewable Power in Hawai‘i - Preliminary Results from the SWITCH Power System Planning Model." UHERO Working Paper No. 2016-1 (2016).
• Matthias Fripp. "Effect of Electric Vehicles on Design, Operation and Cost of a 100% Renewable Power System." UHERO Working Paper No. 2017-3 (2017).
• Imelda, Matthias Fripp and Michael J. Roberts. "Variable pricing and the cost of renewable energy." No. w24712. National Bureau of Economic Research, 2018.
• Matthias Fripp. "Intercomparison between Switch 2.0 and GE MAPS models for simulation of high-renewable power systems in Hawaii." (2018).
• John Larsen, Shashank Mohan, Whitney Herndon, Peter Marsters, and Hannah Pitt. "Transcending Oil: Hawaii’s Path to a Clean Energy Economy." Rhodium Group (2018).

Latin America

Chile

• Juan Pablo Carvallo, Patricia Hidalgo-González and Daniel M Kammen. "Imaginando un Chile sustentable." Natural Resources Defense Council (NRDC), 2014.
• Juan Pablo Carvallo, Patricia Hidalgo-González and Daniel M Kammen. "Envisioning a sustainable Chile: Five findings about the future of the Chilean electricity and energy system." Natural Resources Defense Council (NRDC), 2014.
• Daniel M. Kammen, Rebekah Shirley, Juan Pablo Carvallo and Diego Ponce de Leon Barido."Switching to Sustainability." U.C. Berkeley Center for Latin American Studies (2014).
• Benjamín Maluenda Philippi. "Expansion planning under long-term uncertainty for hydrothermal systems with volatile resources." (2017).
• Benjamín Maluenda Philippi, Matias Negrete-Pincetic, Daniel E. Olivares, and Álvaro Lorca. "Expansion planning under uncertainty for hydrothermal systems with variable resources." International Journal of Electrical Power & Energy Systems 103 (2018): 644-651.
• Felipe Verástegui, Álvaro Lorca, Matias Negrete-Pincetic and Daniel Olivares. "Firewood heat electrification impacts in the Chilean power system." Energy Policy 144 (2020): 111702.
• Felipe Verástegui, Álvaro Lorca, Daniel Olivares and Matias Negrete-Pincetic. "Optimization-based analysis of decarbonization pathways and flexibility requirements in highly renewable power systems." Energy 234 (2021): 121242.
• José Miguel Valdes, Álvaro Lorca, Cristian Salas, Francisco Pinto, Rocío Herrera, Alejandro Bañados, Raúl Urtubia, Patricio Castillo, Lucas Maulén and Diego González. "Greenhouse Gas Mitigation Beyond the Nationally Determined Contributions in Chile: An Assessment of Alternatives." SSRN Electronic Journal (2023).

Mexico

• Sergio Castellanos, Pedro Sanchez-Perez, Aldo Pasos-Trejo, Mateo Torres, Josiah Johnston, Apollo Jain, Alejandra Monroy, Florin James-Langer, Diego Ponce de Leon, Oliver Probst and Daniel M. Kammen. "Modeling high-penetration of clean energy in the electrical grid: A case for Mexico." 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) (2018).
• Sergio Castellanos, Apollo Jain, James Adam Mahady and Daniel M. Kammen. "Vehicle Electrification in Mexico: Evaluating Long-Term Grid Capacity Planning and Interplay with Renewable Deployment." In AGU Fall Meeting Abstracts, vol. 2019, pp. GC31O-1295. 2019.

Nicaragua

• Diego Ponce de Leon Barido, Josiah Johnston, Maria V Moncada, Duncan Callaway and Daniel M Kammen. "Evidence and future scenarios of a low-carbon energy transition in Central America: a case study in Nicaragua." Environmental Research Letters 10, no. 10 (2015): 104002.

China

• Gang He, Anne-Perrine Avrin, James Nelson, Jianwei Tian, Josiah Johnston, Ana Mileva and Daniel Kammen. "China’s Ability to Achieve National Energy Objectives Depends on Coordination of Infrastructure and Policy Initiatives." 37th IAEE International Conference on Energy & the Economy (2014).
• Gang He. "Decarbonizing China's Power Sector: Potential, Prospects and Policy." Ph.D. dissertation, University of California, Berkeley (2015).
• Gang He, Anne-Perrine Avrin, James H. Nelson, Josiah Johnston, Ana Mileva, Jianwei Tian, and Daniel M. Kammen. "SWITCH-China: A Systems Approach to Decarbonizing China’s Power System." Environmental Science & Technology 50, no. 11 (2016): 5467-5473.
• Anne-Perrine Avrin, Scott J. Moura and Daniel M. Kammen. "Minimizing cost uncertainty with a new methodology for use in policy making: China's electricity pathways." 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) (2016).
• Anne-Perrine Avrin "China's Power Sector Decarbonization: Modeling Emission Reduction Potential, Technical Feasibility and Cost Efficiency of Inter-sectoral Approaches." Ph.D. dissertation, University of California, Berkeley (2018).
• Gang He, Jiang Lin, Froylan Sifuentes, Xu Liu, Nikit Abhyankar and Amol Phadke. "Rapid cost decrease of renewable energy and storage offers an opportunity to accelerate the decarbonization of China’s power system." Lawrence Berkeley National Laboratory (2020).
• Gang He, Jiang Lin, Froylan Sifuentes, Xu Liu, Nikit Abhyankar, and Amol Phadke. "Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system." Nature Communications 11, no. 1 (2020): 2486.
• Gang He, Jiang Lin, Froylan Sifuentes, Xu Liu, Nikit Abhyankar and Amol Phadke. "Rapid cost decrease of renewables and storage accelerates the decarbonization of China’s power system." Nature Communications 11, no. 1 (2020).
• Bo Li, Ziming Ma, Gang He, Patricia Hidalgo-Gonzalez, Natalie Fedorova, Minyou Chen and Daniel M. Kammen. "Offshore Wind Replaces Coal and Reduces Transmission, Enabling China to Meet the 1.5°C Climate Imperative." SSRN Electronic Journal (2020).
• Bo Li, Ziming Ma, Patricia Hidalgo-Gonzalez, Alex Lathem, Natalie Fedorova, Gang He, Haiwang Zhong, Minyou Chen and Daniel M. Kammen. "Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors." Energy Policy 149 (2021): 111962.
• Guangzhi Yin, Bo Li, Natalie Fedorova, Patricia Hidalgo-Gonzalez, Daniel M. Kammen and Maosheng Duan. "Accelerating China’s Fossil Fuel Plant Retirement and Renewable Energy Expansion via Capacity Mechanism." SSRN Electronic Journal (2021).
• Guangzhi Yin, Bo Li, Natalie Fedorova, Patricia Hidalgo-Gonzalez, Daniel M. Kammen and Maosheng Duan. "Orderly retire China's coal-fired power capacity via capacity payments to support renewable energy expansion." iScience 24, no. 11 (2021): 103287.
• Chao Zhang, Gang He, Josiah Johnston and Lijin Zhong. "Long-term transition of China's power sector under carbon neutrality target and water withdrawal constraint." Journal of Cleaner Production 329 (2021): 129765.
• Xiaoli Zhang, Xueqin Cui, Bo Li, Patricia Hidalgo-Gonzalez, Daniel M Kammen, Ji Zou and Ke Wang. "Immediate actions on coal phaseout enable a just low-carbon transition in China’s power sector." Applied Energy 308 (2022): 118401.
• Jiang Lin, Nikit Abhyankar, Gang He, Xu Liu and Shengfei Yin. "Large balancing areas and dispersed renewable investment enhances grid flexibility in a renewable-dominant power system in China." iScience 25, no. 2 (2022): 103749.
• Liqun Peng, Denise L. Mauzerall, Yaofeng D. Zhong and Gang He. "Heterogeneous effects of battery storage deployment strategies on decarbonization of provincial power systems in China." Nature Communications 14, no. 1 (2023).

Japan

• Tatsuya Wakeyama. "Impact of Increasing Share of Renewables on the Japanese Electricity System - Model Based Analysis." Energynautics GmbH, Brussels (2015).
• Rena Kuwahata, Peter Merk, Tatsuya Wakeyama, Dimitri Pescia, Steffen Rabe and Shota Ichimura. "Renewables integration grid study for the 2030 Japanese power system." IET Renewable Power Generation 14, no. 8 (2020): 1249-1258.

Laos

• Nkiruka Avila, Noah Kittner, Rebekah Shirley, Michael B. Dwyer, David Roberts, Jalel Sager and Daniel M. Kammen. "Beyond the Battery: Power Expansion Alternatives for Economic Resilience and Diversity in Laos." Resource Governance, Agriculture and Sustainable Livelihoods in the Lower Mekong Basin (2019): 27-65.
• Aaditee Kudrimoti, Alex Lathem, Rachel Ng and Ashley Yip. "SWITCH-Laos: Power Systems Investment Planning for Economic Resilience in Laos." 14th GMSARN
• International Conference (2019).

India

• Chao Zhang, Joonseok Yang, Johannes Urpelainen, Puneet Chitkara, Jiayi Zhang and Jiao Wang. "Thermoelectric Power Generation and Water Stress in India: A Spatial and Temporal Analysis." Environmental Science & Technology 55, no. 8 (2021): 4314-4323.

Kenya

• Daniel Kammen and Brooke Maushund. "Renewable Electrification and Integration Implementation Strategies." in The Path 2021: Outcomes of the Africa Renewable Energy Forum (2016).
• Juan-Pablo Carvallo, Brittany J. Shaw, Nkiruka I. Avila and Daniel M. Kammen. "Sustainable Low-Carbon Expansion for the Power Sector of an Emerging Economy: The Case of Kenya." Environmental Science & Technology 51 no. 17 (2017): 10232–10242.
• Juan Pablo Carvallo. "Strategic Planning for Universal Electricity Access." Ph.D. dissertation, University of California, Berkeley (2019).
• Juan-Pablo Carvallo, Jay Taneja, Duncan Callaway and Daniel M. Kammen. "Distributed Resources Shift Paradigms on Power System Design, Planning, and Operation: An Application of the GAP Model." Proceedings of the IEEE 107, no. 9 (2019): 1906-1922.
• Juan Pablo Carvallo, Nan Zhang, Sean P. Murphy, Benjamin D. Leibowicz and Peter H. Larsen. "The economic value of a centralized approach to distributed resource investment and operation." Applied Energy 269 (2020): 115071.

Spain

• Gustavo Gomes Pereira. "Power System Modelling: A techno-economic analysis of the island of Menorca, Spain.". Master's thesis, Universitat Politècnica de Catalunya (2020).

Use Cases

1. Find least-cost transition plan for a power system to comply with renewable energy or decarbonization policies, possibly reaching 100% renewable power
2. Calculate cost of achieving various renewable energy or carbon targets in a region
3. Select assets to minimize cost for a microgrid, possibly interacting with an outside electricity supplier and/or achieving specified reliability or environmental objectives
4. Estimate the effect of new policies or technologies (dynamic pricing, smart electric vehicle charging, hydrogen storage, geothermal, small nuclear, carbon capture, etc.) on the cost of a clean-energy transition for a region.
5. Calculate the effect of dynamic marginal-cost electricity pricing on consumer welfare while adopting renewable power

Infrastructure Sector

• [ ] Atmospheric dispersion
• [ ] Agriculture
• [ ] Biomass
• [ ] Buildings
• [ ] Communications
• [ ] Cooling
• [ ] Ecosystems
• [X] Electric
• [ ] District heating
• [ ] Forestry
• [ ] Health
• [ ] Hydrogen
• [ ] Individual heating
• [ ] Land use
• [ ] Liquid fuels
• [X] Natural Gas
• [X] Transportation
• [ ] Water

Represented Behavior

• [ ] Earth Systems
• [ ] Employment
• [X] Built Infrastructure
• [X] Financial
• [ ] Macro-economy
• [X] Micro-economy
• [X] Policy
• [ ] Social

Modeling Paradigm

• [ ] Analytics
• [ ] Data
• [ ] Discrete Simulation
• [ ] Dynamic Simulation
• [X] Equilibrium
• [X] Engineering/Design
• [X] Optimization
• [ ] Visualization

Capabilities

1. Represent power systems in varying degrees of detail, from microgrids to continental grids
2. Flexible calendar to represent multi-decade transition with limited number of sample days each year (weighted to represent realistic distribution) or production cost model with 8760 or 8760*n hours.
3. Choose from many alternative representations of grid elements, including generator construction (integer or continuous), unit commitment (integer, continuous, omitted), generator dispatch, transmission form (copperplate, transport or experimental AC power flow), spinning reserve rules (simple or advanced frameworks), electric vehicles (any mix of business-as-usual charging and reschedulable block of energy, or advanced representation based on individual vehicles' charging availability), demand response (simple reschedulable block or advanced integration of any convex response to prices).
4. Solve multiple scenarios in parallel.
5. Experimental support for using Progressive Hedging Algorithm to choose a single plan that is robust across many scenarios.
6. Adjust amount of spatial, temporal and technical detail to focus on most important elements for each study while keeping the model small enough to solve on existing computers.

Programming Language

• [ ] C – ISO/IEC 9899
• [ ] C++ (C plus plus) – ISO/IEC 14882
• [ ] C# (C sharp) – ISO/IEC 23270
• [ ] Delphi
• [ ] GAMS (General Algebraic Modeling System)
• [ ] Go
• [ ] Haskell
• [ ] Java
• [ ] JavaScript(Scripting language)
• [ ] Julia
• [ ] Kotlin
• [ ] LabVIEW
• [ ] Lua
• [ ] MATLAB
• [ ] Modelica
• [ ] Nim
• [ ] Object Pascal
• [ ] Octave
• [ ] Pascal Script
• [X] Python
• [ ] R
• [ ] Rust
• [ ] Simulink
• [ ] Swift (Apple programming language)
• [ ] WebAssembly
• [ ] Zig

Required Dependencies

Switch requires Python, Pyomo (both open-source) and an external solver. Open-source solvers (GLPK or COIN OR) work well for small models, but large models may require proprietary solvers (e.g., CPLEX or Gurobi). All dependencies are installed automatically when using the Anaconda distribution (conda install switch_model).

What is the software tool's license?

Apache License 2.0 (Apache-2.0)

Operating System Support

• [X] Windows
• [X] Mac OSX
• [X] Linux
• [ ] iOS
• [ ] Android

User Interface

• [X] Programmatic
• [X] Command line
• [ ] Web based
• [ ] Graphical user
• [ ] Menu driven
• [ ] Form based
• [ ] Natural language

Parallel Computing Paradigm

• [ ] Multi-threaded computing
• [X] Multi-core computing
• [ ] Distributed computing
• [X] Cluster computing
• [ ] Massively parallel computing
• [ ] Grid computing
• [ ] Reconfigurable computing with field-programmable gate arrays (FPGA)
• [ ] General-purpose computing on graphics processing units
• [ ] Application-specific integrated circuits
• [ ] Vector processors

What is the highest temporal resolution supported by the tool?

Minutes

What is the typical temporal resolution supported by the tool?

Hours

What is the largest temporal scope supported by the tool?

Decades

What is the typical temporal scope supported by the tool?

Decades

What is the highest spatial resolution supported by the tool?

Facility

What is the typical spatial resolution supported by the tool?

State

What is the largest spatial scope supported by the tool?

Continent

What is the typical spatial scope supported by the tool?

Region

Input Data Format

CSV

Input Data Description

forecasts of hourly loads and renewable project production; forecasts of costs of equipment and fuels; profiles of existing and potential generation and storage projects, including heat rate, project size, etc.; financial parameters (interest and discount rates); definitions of time samples; parameters for operating and environmental policies (reserve margins, RPS targets, etc.)

Output Data Format

CSV

Output Data Description

All decision variables (construction and operating plan), costs and summaries of investment and use of all power sources

Contact Details

mfripp@edf.org

Interface, Integration, and Linkage

No response

[kdheepak]

Thanks for submitting the issue form!

[mfripp]

No problem! Just noticed this is a duplicate with #19, which has been closed. I'm not really sure how this is supposed to work!

[kdheepak]

We prefilled a few forms for testing, SWITCH was one of them. All closed issues will be ignored, so this is the canonical github issue for this tool.

[mfripp]

@kdheepak I made a few edits to the profile above in the last few days, but they're not going live on the portal at https://g-pst.github.io/tools/Tool/55. Do you know if anything can be done to nudge them along? The counter at the top says "18 of 82 tasks", but I think that's just showing how many boxes I've checked in the form.

[kdheepak]

Pinging @GordStephen.

My understanding is that the source of the data has been updated to no longer directly pull from GitHub issues.

[GordStephen]

@mfripp Unfortunately the site isn't updating at the moment. We're currently in the middle of overhauling it, and will import existing tools based on their data here, so the changes should get picked up when the new site goes live (hopefully in the next few months)