Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53394
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dc.contributor.authorTatcha Sudtasanen_US
dc.contributor.authorKomsan Suriyaen_US
dc.date.accessioned2018-09-04T09:48:38Z-
dc.date.available2018-09-04T09:48:38Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn21945357en_US
dc.identifier.other2-s2.0-84897825575en_US
dc.identifier.other10.1007/978-3-319-03395-2_35en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897825575&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53394-
dc.description.abstractThis 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleOptimal combination of energy sources for electricity generation in Thailand with lessons from Japan using maximum entropyen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent Systems and Computingen_US
article.volume251en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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