| Author institution
|
Breakthrough Energy Foundation +
|
| Authors
|
Yixing Xu, Dhileep Sivam, Kaspar Mueller, Bainan Xia, Daniel Olsen, Yifan Li, Dan Livengood, Victoria Hunt, Ben Rouillé d’Orfeuil, Merrielle Ondreicka, Anna Hurlimann, Daniel Muldrew, Jon Hagg, Kamilah Jenkins +
|
| Citation doi
|
10.1109/PESGM41954.2020.9281850 +
|
| Citation references
|
Y. Xu et al., "U.S. Test System with High Spatial and Temporal Resolution for Renewable Integration Studies," 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, pp. 1-5.
|
| Computation time comments
|
Computation time and number of variables reflects a typical run using 8 or 16 cores for a full 82,000 node model of the continental U.S.
|
| Computation time minutes
|
1,200 +
|
| Contact email
|
sciences@breakthroughenergy.org +
|
| Contact persons
|
Yixing Xu +
|
| Data availability
|
all +
|
| Decisions
|
dispatch +
|
| Deterministic
|
Scenario Analysis (Deterministic) +
|
| Full Model Name
|
Breakthrough Energy Model +
|
| Georegions
|
Currently U.S., but extendable to any region +
|
| Georesolution
|
Nodal +
|
| Is suited for many scenarios
|
false +
|
| License
|
MIT license (MIT) +
|
| Math modeltype
|
Optimization +
, Simulation +
|
| Math modeltype shortdesc
|
The Breakthrough Energy Model runs DCOPF simulations +
|
| Math objective
|
Minimize cost +
|
| Model class
|
Framework +
|
| Model source public
|
true +
|
| Modelling software
|
Julia/JuMP +
|
| Network coverage
|
transmission +
, DC load flow +
|
| Number of variables
|
1,000,000,000 +
|
| Open future
|
false +
|
| Open source licensed
|
true +
|
| Processing software
|
Python +
|
| Report references
|
Yixing Xu, Daniel Olsen, Bainan Xia, Dan L … Yixing Xu, Daniel Olsen, Bainan Xia, Dan Livengood, Victoria Hunt, Yifan Li, and Lane Smith. 2021. “A 2030 United States Macro Grid: Unlocking Geographical Diversity to Accomplish Clean Energy Goals.” Seattle, WA: Breakthrough Energy Sciences.
https://science.breakthroughenergy.org/publications/MacroGridReport.pdfnergy.org/publications/MacroGridReport.pdf
|
| Sectors
|
Electricity +
|
| Source download
|
https://github.com/Breakthrough-Energy +
|
| Technologies
|
Renewables +
, Conventional Generation +
|
| Text description
|
The Breakthrough Energy Model is a product … The Breakthrough Energy Model is a production cost model with capacity expansion algorithms and heuristics, originally designed to explore the generation and transmission expansion needs to meet U.S. states’ clean energy goals. The data management occurs within Python, the DCOPF optimization problem is created via Julia, and the preferred solver currently being used is Gurobi, while it is flexible to choose various free or proprietary solvers. A fully integrated capacity expansion model is in development.apacity expansion model is in development.
|
| Timeresolution
|
Hour +
|
| Website
|
https://breakthrough-energy.github.io/docs/index.html +
|
| Creation dateThis property is a special property in this wiki.
|
30 June 2021 23:00:04 +
|
| Categories |
Model +
|
| Last editor isThis property is a special property in this wiki.
|
User:Dan Livengood +
|
| Modification dateThis property is a special property in this wiki.
|
30 June 2021 23:00:04 +
|
| Is a new pageThis property is a special property in this wiki.
|
true +
|
