Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal

The usage of Nanofluid to enhance heat transfer has been investigated by many re-searchers in small-scale heat transfers; however, in large-scale power plants, it has not been taken care of. In this research paper, a newly proposed energy system for hydrogen generation based on renewable sources is...

Full description

Bibliographic Details
Published in:INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Main Authors: Zhou, Jincheng; Ali, Masood Ashraf; Hai, Tao; Sharma, Kamal; Aziz, Kosar Hama; Alyousuf, Farah Qasim Ahmed; Almoalimi, Khaled Twfiq; Almojil, Sattam Fahad; Almohana, Abdulaziz Ibrahim; Alali, Abdulrhman Fahmi
Format: Article
Language:English
Published: PERGAMON-ELSEVIER SCIENCE LTD 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001139535000001
author Zhou
Jincheng; Ali
Masood Ashraf; Hai
Tao; Sharma
Kamal; Aziz
Kosar Hama; Alyousuf
Farah Qasim Ahmed; Almoalimi
Khaled Twfiq; Almojil
Sattam Fahad; Almohana
Abdulaziz Ibrahim; Alali
Abdulrhman Fahmi
spellingShingle Zhou
Jincheng; Ali
Masood Ashraf; Hai
Tao; Sharma
Kamal; Aziz
Kosar Hama; Alyousuf
Farah Qasim Ahmed; Almoalimi
Khaled Twfiq; Almojil
Sattam Fahad; Almohana
Abdulaziz Ibrahim; Alali
Abdulrhman Fahmi
Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
Chemistry; Electrochemistry; Energy & Fuels
author_facet Zhou
Jincheng; Ali
Masood Ashraf; Hai
Tao; Sharma
Kamal; Aziz
Kosar Hama; Alyousuf
Farah Qasim Ahmed; Almoalimi
Khaled Twfiq; Almojil
Sattam Fahad; Almohana
Abdulaziz Ibrahim; Alali
Abdulrhman Fahmi
author_sort Zhou
spelling Zhou, Jincheng; Ali, Masood Ashraf; Hai, Tao; Sharma, Kamal; Aziz, Kosar Hama; Alyousuf, Farah Qasim Ahmed; Almoalimi, Khaled Twfiq; Almojil, Sattam Fahad; Almohana, Abdulaziz Ibrahim; Alali, Abdulrhman Fahmi
Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
English
Article
The usage of Nanofluid to enhance heat transfer has been investigated by many re-searchers in small-scale heat transfers; however, in large-scale power plants, it has not been taken care of. In this research paper, a newly proposed energy system for hydrogen generation based on renewable sources is proposed and analyzed in detail. Unlike other power input systems, the vanadium chloride system generates hydrogen because it uses waste heat. In this regard, the nanoparticles of Al2O3 and CuO are utilized in the main heat exchanger to enhance the heat transfer to the reactor of VCLC to generate more hydrogen. Also, the compound system has the gasifier-based internally fired gas turbine as the main system and can generate hydrogen in a more green way. The optimization based on deep learning methods is applied to seek the highest point of operation by the system. The results exhibit that Al2O3 causes more heat transfer and efficiency enhancement, thus in hydrogen production, causing an increase of 18.5% compared to base fluid and 8.3% compared to CuO in H2 Generation In circumstances when it is optimal, the values for exergetic efficiency and total hydrogen production are 64.5% and 4.5 kg/s respectively. In addition, using a nanofluid heat exchanger and biomass energy reduces CO2 emissions to 0.91 kg/kWh. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
PERGAMON-ELSEVIER SCIENCE LTD
0360-3199
1879-3487
2024
52

10.1016/j.ijhydene.2022.10.181
Chemistry; Electrochemistry; Energy & Fuels

WOS:001139535000001
https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001139535000001
title Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
title_short Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
title_full Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
title_fullStr Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
title_full_unstemmed Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
title_sort Enhanced hydrogen generation in a combined hybrid cycle using aluminum and cooper oxide nanomaterial based on biomass and vanadium chloride cycle: Optimization based on deep learning techniques and Environmental appraisal
container_title INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
language English
format Article
description The usage of Nanofluid to enhance heat transfer has been investigated by many re-searchers in small-scale heat transfers; however, in large-scale power plants, it has not been taken care of. In this research paper, a newly proposed energy system for hydrogen generation based on renewable sources is proposed and analyzed in detail. Unlike other power input systems, the vanadium chloride system generates hydrogen because it uses waste heat. In this regard, the nanoparticles of Al2O3 and CuO are utilized in the main heat exchanger to enhance the heat transfer to the reactor of VCLC to generate more hydrogen. Also, the compound system has the gasifier-based internally fired gas turbine as the main system and can generate hydrogen in a more green way. The optimization based on deep learning methods is applied to seek the highest point of operation by the system. The results exhibit that Al2O3 causes more heat transfer and efficiency enhancement, thus in hydrogen production, causing an increase of 18.5% compared to base fluid and 8.3% compared to CuO in H2 Generation In circumstances when it is optimal, the values for exergetic efficiency and total hydrogen production are 64.5% and 4.5 kg/s respectively. In addition, using a nanofluid heat exchanger and biomass energy reduces CO2 emissions to 0.91 kg/kWh. (c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
publisher PERGAMON-ELSEVIER SCIENCE LTD
issn 0360-3199
1879-3487
publishDate 2024
container_volume 52
container_issue
doi_str_mv 10.1016/j.ijhydene.2022.10.181
topic Chemistry; Electrochemistry; Energy & Fuels
topic_facet Chemistry; Electrochemistry; Energy & Fuels
accesstype
id WOS:001139535000001
url https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001139535000001
record_format wos
collection Web of Science (WoS)
_version_ 1809678579248660480