Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt

In this work, a machine-learning based optimisation framework is proposed for optimal design of solar steam methane reforming using molten salt (SSMR-MS) through machine learning techniques. The artificial neural network (ANN) is employed to establish relationships between total annualised cost (TAC...

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Autores principales:	Wanrong Wang, Nan Zhang, Jie Li
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/678d275149424a1eb261d8dafaa6f2f9
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id	oai:doaj.org-article:678d275149424a1eb261d8dafaa6f2f9
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spelling	oai:doaj.org-article:678d275149424a1eb261d8dafaa6f2f92021-11-15T21:47:35ZOptimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt10.3303/CET21881422283-9216https://doaj.org/article/678d275149424a1eb261d8dafaa6f2f92021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11935https://doaj.org/toc/2283-9216In this work, a machine-learning based optimisation framework is proposed for optimal design of solar steam methane reforming using molten salt (SSMR-MS) through machine learning techniques. The artificial neural network (ANN) is employed to establish relationships between total annualised cost (TAC), hydrogen production rate and molten salt duty, and independent input variables in SSMR-MS. A hybrid global optimisation algorithm is adopted to solve the developed surrogate model and generate the optimal design. The computational results demonstrate that a significant reduction in TAC by around 15 % can be achieved than the existing SSMR-MS. The lowest Levelised cost of Hydrogen Production (LCHP) is 2.43 $ kg-1 which is reduced by around 15 % compared to the existing process with LCHP of 2.85 $ kg-1.Wanrong WangNan ZhangJie LiAIDIC 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 Wanrong Wang Nan Zhang Jie Li Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
description	In this work, a machine-learning based optimisation framework is proposed for optimal design of solar steam methane reforming using molten salt (SSMR-MS) through machine learning techniques. The artificial neural network (ANN) is employed to establish relationships between total annualised cost (TAC), hydrogen production rate and molten salt duty, and independent input variables in SSMR-MS. A hybrid global optimisation algorithm is adopted to solve the developed surrogate model and generate the optimal design. The computational results demonstrate that a significant reduction in TAC by around 15 % can be achieved than the existing SSMR-MS. The lowest Levelised cost of Hydrogen Production (LCHP) is 2.43 $ kg-1 which is reduced by around 15 % compared to the existing process with LCHP of 2.85 $ kg-1.
format	article
author	Wanrong Wang Nan Zhang Jie Li
author_facet	Wanrong Wang Nan Zhang Jie Li
author_sort	Wanrong Wang
title	Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
title_short	Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
title_full	Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
title_fullStr	Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
title_full_unstemmed	Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt
title_sort	optimal design of solar-aided hydrogen production process using molten salt
publisher	AIDIC Servizi S.r.l.
publishDate	2021
url	https://doaj.org/article/678d275149424a1eb261d8dafaa6f2f9
work_keys_str_mv	AT wanrongwang optimaldesignofsolaraidedhydrogenproductionprocessusingmoltensalt AT nanzhang optimaldesignofsolaraidedhydrogenproductionprocessusingmoltensalt AT jieli optimaldesignofsolaraidedhydrogenproductionprocessusingmoltensalt
_version_	1718426791166607360

Optimal Design of Solar-Aided Hydrogen Production Process Using Molten Salt

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