Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation

Coal fired power plant; Coal fueled furnaces; Exergy; Fossil fuel power plants; Steam power plants; Coal-fired; Condition; Design condition; Feedwater; Feedwater heater; Fossil fuel consumption; Modelling and analysis; Optimal performance; Optimisations; Steam extraction; Coal

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Main Authors: Khaleel O.J., Ibrahim T.K., Ismail F.B., Al-Sammarraie A.T., Hassan S.H.B.A.
Other Authors: 57287206400
Format: Article
Published: Elsevier Ltd 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-267072023-05-29T17:36:15Z Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation Khaleel O.J. Ibrahim T.K. Ismail F.B. Al-Sammarraie A.T. Hassan S.H.B.A. 57287206400 36730964600 58027086700 57195757756 7201618347 Coal fired power plant; Coal fueled furnaces; Exergy; Fossil fuel power plants; Steam power plants; Coal-fired; Condition; Design condition; Feedwater; Feedwater heater; Fossil fuel consumption; Modelling and analysis; Optimal performance; Optimisations; Steam extraction; Coal One of the ways to minimize fossil fuel consumption is to optimize the feedwater heaters of the power plants. The newly-built power plants work optimally at their design conditions; however, by aging, they often deviate from those conditions. Therefore, new optimal conditions are required to be determined for them. In this study, invoking a Predictive Model, the impact of different configurations of the feedwater heaters on the performance of the power plant is examined. It is shown that there are optimal values for the pressure of closed feedwater heaters. Following the optimization procedure of Conjugate Directions Method, the optimal pressures for bleeding off steam for all the closed feedwater heaters and the deaerator are achieved, simultaneously. The multi-variable optimization is carried out based on the maximal energy and exergy efficiencies as well as the maximal net delivered power of the cycle. � 2022 The Author(s) Final 2023-05-29T09:36:15Z 2023-05-29T09:36:15Z 2022 Article 10.1016/j.egyr.2022.01.072 2-s2.0-85123731648 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123731648&doi=10.1016%2fj.egyr.2022.01.072&partnerID=40&md5=83512f553c1df3c6126d72af79d5646c https://irepository.uniten.edu.my/handle/123456789/26707 8 2179 2199 All Open Access, Gold Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Coal fired power plant; Coal fueled furnaces; Exergy; Fossil fuel power plants; Steam power plants; Coal-fired; Condition; Design condition; Feedwater; Feedwater heater; Fossil fuel consumption; Modelling and analysis; Optimal performance; Optimisations; Steam extraction; Coal
author2 57287206400
author_facet 57287206400
Khaleel O.J.
Ibrahim T.K.
Ismail F.B.
Al-Sammarraie A.T.
Hassan S.H.B.A.
format Article
author Khaleel O.J.
Ibrahim T.K.
Ismail F.B.
Al-Sammarraie A.T.
Hassan S.H.B.A.
spellingShingle Khaleel O.J.
Ibrahim T.K.
Ismail F.B.
Al-Sammarraie A.T.
Hassan S.H.B.A.
Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
author_sort Khaleel O.J.
title Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
title_short Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
title_full Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
title_fullStr Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
title_full_unstemmed Modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
title_sort modeling and analysis of optimal performance of a coal-fired power plant based on exergy evaluation
publisher Elsevier Ltd
publishDate 2023
_version_ 1806424395698143232