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 researchers 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 p...

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Published in:International Journal of Hydrogen Energy
Main Author: Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
Format: Article
Language:English
Published: Elsevier Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146956867&doi=10.1016%2fj.ijhydene.2022.10.181&partnerID=40&md5=5c065ad0f6524575ba3bf6dd9c5bba12
id 2-s2.0-85146956867
spelling 2-s2.0-85146956867
Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
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
2024
International Journal of Hydrogen Energy
52

10.1016/j.ijhydene.2022.10.181
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146956867&doi=10.1016%2fj.ijhydene.2022.10.181&partnerID=40&md5=5c065ad0f6524575ba3bf6dd9c5bba12
The usage of Nanofluid to enhance heat transfer has been investigated by many researchers 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. © 2022 Hydrogen Energy Publications LLC
Elsevier Ltd
3603199
English
Article

author Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
spellingShingle Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
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
author_facet Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
author_sort Zhou J.; Ashraf Ali M.; Hai T.; Sharma K.; Hama Aziz K.; Qasim Ahmed Alyousuf F.; Almoalimi K.T.; Almojil S.F.; Almohana A.I.; Alali A.F.
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
publishDate 2024
container_title International Journal of Hydrogen Energy
container_volume 52
container_issue
doi_str_mv 10.1016/j.ijhydene.2022.10.181
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146956867&doi=10.1016%2fj.ijhydene.2022.10.181&partnerID=40&md5=5c065ad0f6524575ba3bf6dd9c5bba12
description The usage of Nanofluid to enhance heat transfer has been investigated by many researchers 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. © 2022 Hydrogen Energy Publications LLC
publisher Elsevier Ltd
issn 3603199
language English
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