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...
Published in: | International Journal of Hydrogen Energy |
---|---|
Main Author: | |
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 |
format |
Article |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677883813134336 |