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Sustainable power plant planning using pinch analysis approach

Growing economic and population expansion has posed great stress in power plant planning as energy consumption is increased every year. Power plant expansion or new power plant construction require years of planning before implementation. Together with the aid of energy storage (ES) for improving po...

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Main Authors: Lee, Mingyang, Ho, Waishin, Hashim, Haslenda, Lim, Jeng Shiun
Format: Article
Published: Italian Association of Chemical Engineering - AIDIC 2015
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/58851/
http://dx.doi.org/10.3303/CET1545113
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spelling my.utm.588512021-08-22T08:03:27Z http://eprints.utm.my/id/eprint/58851/ Sustainable power plant planning using pinch analysis approach Lee, Mingyang Ho, Waishin Hashim, Haslenda Lim, Jeng Shiun TP Chemical technology Growing economic and population expansion has posed great stress in power plant planning as energy consumption is increased every year. Power plant expansion or new power plant construction require years of planning before implementation. Together with the aid of energy storage (ES) for improving power plant capacity factor, this work applied Electric System Cascade Analysis (ESCA) to identify the total power plants that are needed to fulfil energy demand in an on-grid power system. A hypothetical Case Study has created to consider the factors of ES charging and discharging efficiency, increment of energy demand, integration of existing with new power plant. The results obtained by ESCA are 929.22 MW of total power plants capacity, 1,073.44 MW of ES real capacity, and 2,614.39 MWh of ES energy capacity, as well as 298.98 MWh of initial content in the ES. Italian Association of Chemical Engineering - AIDIC 2015 Article PeerReviewed Lee, Mingyang and Ho, Waishin and Hashim, Haslenda and Lim, Jeng Shiun (2015) Sustainable power plant planning using pinch analysis approach. Chemical Engineering Transactions, 45 . pp. 673-678. ISSN 2.28-3921 http://dx.doi.org/10.3303/CET1545113 DOI: 10.3303/CET1545113
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Lee, Mingyang
Ho, Waishin
Hashim, Haslenda
Lim, Jeng Shiun
Sustainable power plant planning using pinch analysis approach
description Growing economic and population expansion has posed great stress in power plant planning as energy consumption is increased every year. Power plant expansion or new power plant construction require years of planning before implementation. Together with the aid of energy storage (ES) for improving power plant capacity factor, this work applied Electric System Cascade Analysis (ESCA) to identify the total power plants that are needed to fulfil energy demand in an on-grid power system. A hypothetical Case Study has created to consider the factors of ES charging and discharging efficiency, increment of energy demand, integration of existing with new power plant. The results obtained by ESCA are 929.22 MW of total power plants capacity, 1,073.44 MW of ES real capacity, and 2,614.39 MWh of ES energy capacity, as well as 298.98 MWh of initial content in the ES.
format Article
author Lee, Mingyang
Ho, Waishin
Hashim, Haslenda
Lim, Jeng Shiun
author_facet Lee, Mingyang
Ho, Waishin
Hashim, Haslenda
Lim, Jeng Shiun
author_sort Lee, Mingyang
title Sustainable power plant planning using pinch analysis approach
title_short Sustainable power plant planning using pinch analysis approach
title_full Sustainable power plant planning using pinch analysis approach
title_fullStr Sustainable power plant planning using pinch analysis approach
title_full_unstemmed Sustainable power plant planning using pinch analysis approach
title_sort sustainable power plant planning using pinch analysis approach
publisher Italian Association of Chemical Engineering - AIDIC
publishDate 2015
url http://eprints.utm.my/id/eprint/58851/
http://dx.doi.org/10.3303/CET1545113
_version_ 1709667346535153664
score 13.211869

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