Mathematical Decision Framework for Integrated Solar Thermal System Networks

The rising energy demand and the depletion of fossil fuels have resulted in technology development to harness solar energy. Solar thermal technology provides a compelling alternative for energy conservation to provide heat energy to residential, commercial, and industrial processes. Designing an opt...

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Autores principales:	Muhammad Imran Ismail, Nor Alafiza Yunus, Haslenda Hashim
Formato:	article
Lenguaje:	EN
Publicado:	AIDIC Servizi S.r.l. 2021
Materias:	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/d33f606feb234590a45e1d551d711d38
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spelling	oai:doaj.org-article:d33f606feb234590a45e1d551d711d382021-11-15T21:46:53ZMathematical Decision Framework for Integrated Solar Thermal System Networks10.3303/CET21882142283-9216https://doaj.org/article/d33f606feb234590a45e1d551d711d382021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/12007https://doaj.org/toc/2283-9216The rising energy demand and the depletion of fossil fuels have resulted in technology development to harness solar energy. Solar thermal technology provides a compelling alternative for energy conservation to provide heat energy to residential, commercial, and industrial processes. Designing an optimum solar thermal system for industrial operations is complex due to intermittent solar irradiance and temperature variance of process demand. A mathematical decision framework is needed to aid users in the decision-making process for the optimisation approach to design an integrated solar thermal network to identify the best configuration and optimal design to fulfil multiple sources and demand scenarios. This study aims to develop a decision-making framework for solar heat networks and optimal thermal energy storage (TES). The framework was applied to an illustrative case study with two scenarios based on full and 75 % load of heat demand. Based on the result of the case study, the framework can assist decision-making in designing an integrated solar thermal network. The results show that the excess solar yield from Plant 3 can be shared to Plant 2 at a range of 54.93–84.45 kW. The optimal capacity of TES is 183.6 m3, which can fulfil the demand in both scenarios. The decision framework successfully analysed and designed an integrated solar thermal network.Muhammad Imran IsmailNor Alafiza YunusHaslenda HashimAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Muhammad Imran Ismail Nor Alafiza Yunus Haslenda Hashim Mathematical Decision Framework for Integrated Solar Thermal System Networks
description	The rising energy demand and the depletion of fossil fuels have resulted in technology development to harness solar energy. Solar thermal technology provides a compelling alternative for energy conservation to provide heat energy to residential, commercial, and industrial processes. Designing an optimum solar thermal system for industrial operations is complex due to intermittent solar irradiance and temperature variance of process demand. A mathematical decision framework is needed to aid users in the decision-making process for the optimisation approach to design an integrated solar thermal network to identify the best configuration and optimal design to fulfil multiple sources and demand scenarios. This study aims to develop a decision-making framework for solar heat networks and optimal thermal energy storage (TES). The framework was applied to an illustrative case study with two scenarios based on full and 75 % load of heat demand. Based on the result of the case study, the framework can assist decision-making in designing an integrated solar thermal network. The results show that the excess solar yield from Plant 3 can be shared to Plant 2 at a range of 54.93–84.45 kW. The optimal capacity of TES is 183.6 m3, which can fulfil the demand in both scenarios. The decision framework successfully analysed and designed an integrated solar thermal network.
format	article
author	Muhammad Imran Ismail Nor Alafiza Yunus Haslenda Hashim
author_facet	Muhammad Imran Ismail Nor Alafiza Yunus Haslenda Hashim
author_sort	Muhammad Imran Ismail
title	Mathematical Decision Framework for Integrated Solar Thermal System Networks
title_short	Mathematical Decision Framework for Integrated Solar Thermal System Networks
title_full	Mathematical Decision Framework for Integrated Solar Thermal System Networks
title_fullStr	Mathematical Decision Framework for Integrated Solar Thermal System Networks
title_full_unstemmed	Mathematical Decision Framework for Integrated Solar Thermal System Networks
title_sort	mathematical decision framework for integrated solar thermal system networks
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/d33f606feb234590a45e1d551d711d38
work_keys_str_mv	AT muhammadimranismail mathematicaldecisionframeworkforintegratedsolarthermalsystemnetworks AT noralafizayunus mathematicaldecisionframeworkforintegratedsolarthermalsystemnetworks AT haslendahashim mathematicaldecisionframeworkforintegratedsolarthermalsystemnetworks
_version_	1718426871616503808

Mathematical Decision Framework for Integrated Solar Thermal System Networks

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