Regional Energy Deployment System (ReEDS)
By W. Short, P. Sullivan, T. Mai, M. Mowers, C. Uriarte, N. Blair, D. Heimiller, A. Martinez. 2011
262 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, General Energy
View Paper: https://www.semanticscholar.org/paper/c125a9121a7a7ccbda4b5dfd2dd5caf4dd71d54c
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In Electrical and Electronic Engineering
- Antonio J. Conejo
- Ramteen Sioshansi
- Paul Denholm
- Mohammad Shahidehpour
- S. Schramm
- Martin Greiner
- Benjamin F. Hobbs
- Jonathan L. Ho
In General Energy
Citations in the corpus
- Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions (2014, methodology): “[39], adjusted to refer to lines (instead of regions) and annualized as described in Ref.”
- Flexibility mechanisms and pathways to a highly renewable US electricity future (2016, methodology): “, NREL's ReEDS model [18]; NEMS EMM [19]; EPRI's US-REGEN (initial model description [20] with addition description and policy application [21]); and UC Berkeley's SWITCH model (initial model version for California in Ref.”
- Co-optimization of electricity transmission and generation resources for planning and policy analysis: review of concepts and modeling approaches (2016, background): “Because different types of investments have different effects on system flexibility, a long-term planning problem must also account for such operational reserve allocations when evaluating those investments [8, 59, 65].”
- The Optimal Share of Variable Renewables: How the Variability of Wind and Solar Power affects their Welfare-optimal Deployment (2012, unknown): “Others focus on the electricity sector, such as ReEDs (Short et al. 2003, 2011), US-Regen (Blanford et al. 2012), SWITCH (Nelson et al. 2012) and CAPEW (Brun 2011) for North America, and LIMES (Haller et al. 2012), PERSEUS (Rosen et al. 2007), and DEMELIE (Lise & Kruseman 2008) for Europe.”
- Renewable Electricity Futures Study. Volume 1. Exploration of High-Penetration Renewable Electricity Futures (2012, methodology): “Additional detail on ReEDS can be found in Short et al. (2011).”
- Multistage Stochastic Investment Planning With Multiscale Representation of Uncertainties and Decisions (2018, methodology): “[3] represents operations between successive investment epochs using 17 timeslices.”
- Renewable Electricity Futures for the United States (2014, methodology): “In particular, the analysis relied on the NREL regional energy deployment system (ReEDS) capacity expansion model [22] to generate 2010–2050 electric system scenarios.”