Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy

This study uses maximum entropy method to find an optimal combination of energy sources for electricity generation in Thailand. It sets three targets including unit cost, risk and pollution. In the optimization process, it forms three constraints according to these three targets. It solves the syste...

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Main Authors: Tatcha Sudtasan, Komsan Suriya
Format: Book Series
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/53394
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-533942018-09-04T09:50:55Z Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy Tatcha Sudtasan Komsan Suriya Computer Science Engineering This study uses maximum entropy method to find an optimal combination of energy sources for electricity generation in Thailand. It sets three targets including unit cost, risk and pollution. In the optimization process, it forms three constraints according to these three targets. It solves the system following the guideline of Golan, Judge and Miller (1996). It analyses six scenarios of the targets. For the major results, it finds that hydropower, nuclear, wind and solar energy are major sources of electricity generation. The country cannot avoid adopting nuclear energy for its electricity generation in order to meet all the three targets that are optimal for its electricity generation and economic development. © Springer International Publishing Switzerland 2014. 2018-09-04T09:48:38Z 2018-09-04T09:48:38Z 2014-01-01 Book Series 21945357 2-s2.0-84897825575 10.1007/978-3-319-03395-2_35 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897825575&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53394
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Tatcha Sudtasan
Komsan Suriya
Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
description This study uses maximum entropy method to find an optimal combination of energy sources for electricity generation in Thailand. It sets three targets including unit cost, risk and pollution. In the optimization process, it forms three constraints according to these three targets. It solves the system following the guideline of Golan, Judge and Miller (1996). It analyses six scenarios of the targets. For the major results, it finds that hydropower, nuclear, wind and solar energy are major sources of electricity generation. The country cannot avoid adopting nuclear energy for its electricity generation in order to meet all the three targets that are optimal for its electricity generation and economic development. © Springer International Publishing Switzerland 2014.
format Book Series
author Tatcha Sudtasan
Komsan Suriya
author_facet Tatcha Sudtasan
Komsan Suriya
author_sort Tatcha Sudtasan
title Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
title_short Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
title_full Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
title_fullStr Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
title_full_unstemmed Optimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropy
title_sort optimal combination of energy sources for electricity generation in thailand with lessons from japan using maximum entropy
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897825575&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53394
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