Optimality versus reality: Closing the gap between renewable energy decision models and government deployment in the United States
| Autor: | Emma Elgqvist, Morgan Bazilian, Maggie Nevrly, Kate Anderson |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Government
Renewable Energy Sustainability and the Environment business.industry 020209 energy media_common.quotation_subject Energy (esotericism) Public sector Closing (real estate) Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences Environmental economics 01 natural sciences Renewable energy Fuel Technology Nuclear Energy and Engineering State (polity) Software deployment 0202 electrical engineering electronic engineering information engineering business Decision model Social Sciences (miscellaneous) 0105 earth and related environmental sciences media_common |
| Zdroj: | Energy Research & Social Science. 76:102061 |
| ISSN: | 2214-6296 |
| Popis: | Energy decision models are widely used to evaluate the technical and economic feasibility of renewable energy, as well as to help inform the deployment of these technologies. However, a gap exists between the optimal model solutions and what is deployed. This paper explores why these gaps exist in the public sector using the results of interviews with 20 federal, state, and city government agencies that have used the Renewable Energy Integration and Optimization (REopt™) model to inform energy decisions. We then propose adaptations to technical modeling capabilities, and communication of results, which may help increase clean energy deployment. This research may be useful to both analytical modelers and the organizations using such decision tools to inform policy, regulation, planning, and deployment of clean energy systems. |
| Databáze: | OpenAIRE |
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