2016
DOI: 10.2172/1337612
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A Prospective Analysis of the Costs, Benefits, and Impacts of U.S. Renewable Portfolio Standards

Abstract: PREFACEThis is one report in a series that explores the costs, benefits, and other impacts of state renewable portfolio standards (RPS), both retrospectively and prospectively. The first report, A Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards, published in 2014, comprehensively summarized historical RPS compliance costs, drawing in part on estimates developed by utilities and state regulatory agencies. The study also reviewed analyses of the broader societal benefits and … Show more

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Cited by 8 publications
(10 citation statements)
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“…ReEDS has been used to generate scenarios for numerous studies of the U.S. electricity system, including technology assessments (DOE 2016;DOE 2015;DOE 2012;DOE 2008;NREL 2012;Donohoo-Vallett et al 2017;), policy analysis (Mai et al 2016b;Mai et al 2016c;Cole et al 2015;Lantz et al 2014;Mignone et al 2012), and electric system outlooks (Mai et al 2016a;Cole et al 2016a;Sullivan et al 2015;Logan et al 2012). The DOE Wind Vision study (DOE 2015), which assessed the impacts of achieving wind penetration of 35% by 2050, also relied on the ReEDS model.…”
Section: Modeling Approachmentioning
confidence: 99%
“…ReEDS has been used to generate scenarios for numerous studies of the U.S. electricity system, including technology assessments (DOE 2016;DOE 2015;DOE 2012;DOE 2008;NREL 2012;Donohoo-Vallett et al 2017;), policy analysis (Mai et al 2016b;Mai et al 2016c;Cole et al 2015;Lantz et al 2014;Mignone et al 2012), and electric system outlooks (Mai et al 2016a;Cole et al 2016a;Sullivan et al 2015;Logan et al 2012). The DOE Wind Vision study (DOE 2015), which assessed the impacts of achieving wind penetration of 35% by 2050, also relied on the ReEDS model.…”
Section: Modeling Approachmentioning
confidence: 99%
“…This joint modeling approach captures the dynamic balances between growth in electricity consumption, plant retirements, competing generation options, policies, and the projected deployment and operation of behind-the-meter technologies-all of which affect the demand for new PV and storage resources. These modeling tools have been used for a wide variety of power sector analyses, especially those that require additional detailed representation of renewable energy, including the original SunShot Vision Study (DOE 2012), the Wind Vision Study (DOE 2015b), and policy valuations and impacts (Cole et al 2015;Mai, Cole, et al 2016;Mai, Wiser, et al 2016). 39…”
Section: Appendix A: Scenario Inputsmentioning
confidence: 99%
“…Moreover, this analysis does not consider additional potential sources of benefits, such as reductions in air pollutants such as SO2, NOx, and particulate matter, reduction in water withdrawal and consumption, or potential reductions of expenditures for natural gas use outside the electric sector. Recent assessments of the magnitude of some of these potential impacts have shown significant monetized benefits resulting from increased renewable generation, in particular (Mai, Wiser et al 2016;Wiser, Mai et al 2016;Wiser, Barbose et al 2016;DOE 2015;DOE 2016b).…”
Section: Electricity System Costmentioning
confidence: 99%