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Do lower electricity storage costs reduce greenhouse gas emissions?
Institution:1. Kenyon College, 311 Ascension Hall, Kenyon College, Gambier, OH, 43022, USA;2. University of Nevada, Las Vegas, 4505 S Maryland Pkwy, Box 6005, Las Vegas, NV, 89154, USA;3. University of Pittsburgh, 3804 Wesley W. Posvar Hall, Pittsburgh, PA, 15260, USA;1. Department of Economics, University of Hagen, Universitätsstr. 41, 58097 Hagen, Germany;2. Department of Economics, University of Siegen, Unteres Schloss 3, 57072 Siegen, Germany;1. The Robert Day School of Economics and Finance, Claremont McKenna College, 500 E. Ninth Street, Claremont, CA 91711, USA;2. Department of Economics, College of William and Mary, P.O. Box 8795, Williamsburg, VA 23187, USA;1. University Paris 1, Paris School of Economics, France;2. Tilburg Sustainability Centre, Tilburg University, Netherlands;1. University of Maryland, USA;2. University of Maryland and Resources for the Future, USA
Abstract:In the electricity sector, innovation in large-scale storage is anticipated to reduce costs and improve performance. The effect on greenhouse gas emissions of lower storage costs depends on the interactions between storage and the entire grid. The literature has disagreed on the role of storage in reducing emissions. In this paper we present a stylized model, which suggests that the effect of storage costs on emissions depends on the supply responsiveness of both fossil and renewable generators. Under common conditions in the United States, lower storage costs are more likely to reduce emissions when wind investment responds to equilibrium electricity prices and when solar investment does not. Simulations of a computational model of grid investment and operation confirm these intuitions. Moreover, because of its effect on coal and natural gas–fired supply responsiveness, introducing a carbon dioxide emissions price may increase the likelihood that lower storage costs reduce emissions.
Keywords:Bulk storage  Batteries  Innovation  Research and development  Wind power  Solar power  Renewables  Greenhouse gas emissions  Mathematical programming  Optimization  L94  Q4  Q5
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