Measuring the efficiency of energy planning under uncertainty

This paper proposes an optimization method for energy planning that will efficiently meet multiple requirements subject to uncertain future projections. A stochastic optimization model is used to identify appropriate energy mixes under various scenarios of uncertainty, and the performance of three d...

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Autores principales:	Sudlop Ratanakuakangwan, Hiroshi Morita
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Energy policy Efficiency measurement Stochastic optimization Data envelopment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/70ef018ffd8c4296b117e7828f9cf289
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spelling	oai:doaj.org-article:70ef018ffd8c4296b117e7828f9cf2892021-12-04T04:35:11ZMeasuring the efficiency of energy planning under uncertainty2352-484710.1016/j.egyr.2021.11.164https://doaj.org/article/70ef018ffd8c4296b117e7828f9cf2892022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721013111https://doaj.org/toc/2352-4847This paper proposes an optimization method for energy planning that will efficiently meet multiple requirements subject to uncertain future projections. A stochastic optimization model is used to identify appropriate energy mixes under various scenarios of uncertainty, and the performance of three different energy policies—a pro-economic policy, a pro-environmental policy, and a governmental plan—is compared. Data envelopment analysis is applied to measure the relative energy efficiency of the optimized energy mixes in providing energy security, energy equity, and environmental sustainability. Thailand’s power development plan for 2032 is used as a case study to illustrate the approach. Analysis of the case study indicates that the pro-environmental policy is the most efficient of the three policies considered. Empirical results from this study provide quantitative support for policy makers seeking to establish an efficient energy policy to satisfy the three requirements while allowing for a range of future uncertainties.Sudlop RatanakuakangwanHiroshi MoritaElsevierarticleEnergy policyEfficiency measurementStochastic optimizationData envelopment analysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 544-551 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Energy policy Efficiency measurement Stochastic optimization Data envelopment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Energy policy Efficiency measurement Stochastic optimization Data envelopment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Sudlop Ratanakuakangwan Hiroshi Morita Measuring the efficiency of energy planning under uncertainty
description	This paper proposes an optimization method for energy planning that will efficiently meet multiple requirements subject to uncertain future projections. A stochastic optimization model is used to identify appropriate energy mixes under various scenarios of uncertainty, and the performance of three different energy policies—a pro-economic policy, a pro-environmental policy, and a governmental plan—is compared. Data envelopment analysis is applied to measure the relative energy efficiency of the optimized energy mixes in providing energy security, energy equity, and environmental sustainability. Thailand’s power development plan for 2032 is used as a case study to illustrate the approach. Analysis of the case study indicates that the pro-environmental policy is the most efficient of the three policies considered. Empirical results from this study provide quantitative support for policy makers seeking to establish an efficient energy policy to satisfy the three requirements while allowing for a range of future uncertainties.
format	article
author	Sudlop Ratanakuakangwan Hiroshi Morita
author_facet	Sudlop Ratanakuakangwan Hiroshi Morita
author_sort	Sudlop Ratanakuakangwan
title	Measuring the efficiency of energy planning under uncertainty
title_short	Measuring the efficiency of energy planning under uncertainty
title_full	Measuring the efficiency of energy planning under uncertainty
title_fullStr	Measuring the efficiency of energy planning under uncertainty
title_full_unstemmed	Measuring the efficiency of energy planning under uncertainty
title_sort	measuring the efficiency of energy planning under uncertainty
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/70ef018ffd8c4296b117e7828f9cf289
work_keys_str_mv	AT sudlopratanakuakangwan measuringtheefficiencyofenergyplanningunderuncertainty AT hiroshimorita measuringtheefficiencyofenergyplanningunderuncertainty
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Measuring the efficiency of energy planning under uncertainty

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