2016
DOI: 10.2172/1332909
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Regional Energy Deployment System (ReEDS) Model Documentation: Version 2016

Abstract: We are especially grateful to Walter Short who first envisioned and developed the WinDS and ReEDS models. We also thank the NREL analysts who provided input on the technology costs, assumptions, and methodologies in ReEDS, including

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Cited by 74 publications
(129 citation statements)
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“…While limited foresight makes the model susceptible to market shocks and path-dependent solutions, it avoids unrealistic perfect-foresight behavior that would not be possible under reallife uncertainty. The ReEDS model version used for this analysis is similar to that used for the NREL 2016 Standard Scenarios report 19 (Cole et al, 2016b) and is documented in detail in Eurek et al (2016).…”
Section: Appendix a A1 Model Descriptionsmentioning
confidence: 99%
See 1 more Smart Citation
“…While limited foresight makes the model susceptible to market shocks and path-dependent solutions, it avoids unrealistic perfect-foresight behavior that would not be possible under reallife uncertainty. The ReEDS model version used for this analysis is similar to that used for the NREL 2016 Standard Scenarios report 19 (Cole et al, 2016b) and is documented in detail in Eurek et al (2016).…”
Section: Appendix a A1 Model Descriptionsmentioning
confidence: 99%
“…Compared with previous work in this area, a primary contribution of this paper is the inclusion of a detailed representation of the electricity sector within a top-down/bottom-up modeling framework. The National Renewable Energy Laboratory's Regional Energy Deployment System (ReEDS) (Eurek et al, 2016), an electric sector model, is linked with the Massachusetts Institute of Technology's U.S. Regional Energy Policy (USREP) model (Rausch et al, 2010;Rausch and Reilly, 2015), a computable general equilibrium model of the U.S. economy.…”
Section: Introductionmentioning
confidence: 99%
“…Other generation technologies are also estimated to experience cost declines of varying levels as reported in the Annual Technology Baseline 2016 data. Storage and transmission costs are based 5 ReEDS has been widely used in previous analysis of long-term renewable futures (DOE 2015(DOE , 2016Wiser et al 2016a;NREL 2012) and to simulate scenarios for analyses of a broad range of state and federal energy policies and regulations Cole et al 2015;Lantz et al 2014;Mignone et al 2012;Bird et al 2011;Logan et al 2009 Eurek et al 2016). All three model scenarios-No RPS, Existing RPS, and High RE-rely on the same set of assumptions.…”
Section: Key Input Assumptionsmentioning
confidence: 99%
“…11 Further details on ReEDS' representation of RPS policies are described in Frew et al (2016) and in the latest ReEDS documentation (Eurek et al 2016).…”
Section: Existing Rps Scenariomentioning
confidence: 99%
“…Photovoltaic cells are a distributed energy source that could be installed on each consumer place like on the surface of a house, these photovoltaic transports the power using a converter to produce ac voltage from dc voltage of cells [1][2][3]. The two levels inverter has high harmonics and power losses.…”
Section: Introductionmentioning
confidence: 99%