Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production

<p>In order to maximize heat recovery through cascading processes, this study presents the development of an advanced polygeneration system that combines liquefied natural gas (LNG) and geothermal power generation. The importance of this system is highlighted by the rising need for sustainable...

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Main Author: Wulaer Shaersaikai (21436652) (author)
Other Authors: Tuhuo Jia (21436655) (author), Abdellatif M. Sadeq (16931841) (author), Manoj Kumar Agrawal (21436658) (author), Taseer Muhammad (759341) (author), Sohaib Tahir Chauhdary (21436661) (author)
Published: 2025
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author Wulaer Shaersaikai (21436652)
author2 Tuhuo Jia (21436655)
Abdellatif M. Sadeq (16931841)
Manoj Kumar Agrawal (21436658)
Taseer Muhammad (759341)
Sohaib Tahir Chauhdary (21436661)
author2_role author
author
author
author
author
author_facet Wulaer Shaersaikai (21436652)
Tuhuo Jia (21436655)
Abdellatif M. Sadeq (16931841)
Manoj Kumar Agrawal (21436658)
Taseer Muhammad (759341)
Sohaib Tahir Chauhdary (21436661)
author_role author
dc.creator.none.fl_str_mv Wulaer Shaersaikai (21436652)
Tuhuo Jia (21436655)
Abdellatif M. Sadeq (16931841)
Manoj Kumar Agrawal (21436658)
Taseer Muhammad (759341)
Sohaib Tahir Chauhdary (21436661)
dc.date.none.fl_str_mv 2025-05-20T15:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.desal.2025.119010
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Modeling_and_thermoeconomic_analysis_of_new_polygeneration_system_based_on_geothermal_energy_with_sea_water_desalination_and_hydrogen_production/29163809
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Electrical engineering
Environmental engineering
Polygeneration
Energy efficiency
Desalination
Geothermal energy
Exergy analysis
PEM electrolyzer
dc.title.none.fl_str_mv Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>In order to maximize heat recovery through cascading processes, this study presents the development of an advanced polygeneration system that combines liquefied natural gas (LNG) and geothermal power generation. The importance of this system is highlighted by the rising need for sustainable energy solutions that can generate a variety of outputs, including power, hydrogen, freshwater, and thermal energy. By using sensitivity-based optimizations, the suggested solution seeks to improve thermodynamic, financial, and environmental performance. With strong R-squared values and high predictive accuracy, the Random Forest machine learning model predicts exergy efficiency, freshwater production, unit specific product cost (USPC), net present value (NPV), and environmental impact. By reducing the irreversibility of important components, the system minimizes its impact on the environment while achieving electrical efficiency of 14.38 %, energy efficiency of 23.12 %, and exergy efficiency of 27.97 %. A USPC of 5.37 $/GJ and a NPV of 15.48 M$ support the system's economic performance and show that it is feasible in a market with favorable conditions. The Grey Wolf Optimization (GWO) algorithm, which directs the system's optimization process, demonstrates a competitive trade-off between exergy efficiency, freshwater production, costs, NPV, and environmental impact. This system's practical uses are best suited for coastal, island, or industrial areas with LNG and geothermal infrastructure, as it can offer a combined energy solution that lowers infrastructure costs and advances energy sustainability in general.</p><h2>Other Information</h2> <p> Published in: Desalination<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.desal.2025.119010" target="_blank">https://dx.doi.org/10.1016/j.desal.2025.119010</a></p>
eu_rights_str_mv openAccess
id Manara2_5c4828552b6d7096318964761bfd51f1
identifier_str_mv 10.1016/j.desal.2025.119010
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/29163809
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen productionWulaer Shaersaikai (21436652)Tuhuo Jia (21436655)Abdellatif M. Sadeq (16931841)Manoj Kumar Agrawal (21436658)Taseer Muhammad (759341)Sohaib Tahir Chauhdary (21436661)EngineeringElectrical engineeringEnvironmental engineeringPolygenerationEnergy efficiencyDesalinationGeothermal energyExergy analysisPEM electrolyzer<p>In order to maximize heat recovery through cascading processes, this study presents the development of an advanced polygeneration system that combines liquefied natural gas (LNG) and geothermal power generation. The importance of this system is highlighted by the rising need for sustainable energy solutions that can generate a variety of outputs, including power, hydrogen, freshwater, and thermal energy. By using sensitivity-based optimizations, the suggested solution seeks to improve thermodynamic, financial, and environmental performance. With strong R-squared values and high predictive accuracy, the Random Forest machine learning model predicts exergy efficiency, freshwater production, unit specific product cost (USPC), net present value (NPV), and environmental impact. By reducing the irreversibility of important components, the system minimizes its impact on the environment while achieving electrical efficiency of 14.38 %, energy efficiency of 23.12 %, and exergy efficiency of 27.97 %. A USPC of 5.37 $/GJ and a NPV of 15.48 M$ support the system's economic performance and show that it is feasible in a market with favorable conditions. The Grey Wolf Optimization (GWO) algorithm, which directs the system's optimization process, demonstrates a competitive trade-off between exergy efficiency, freshwater production, costs, NPV, and environmental impact. This system's practical uses are best suited for coastal, island, or industrial areas with LNG and geothermal infrastructure, as it can offer a combined energy solution that lowers infrastructure costs and advances energy sustainability in general.</p><h2>Other Information</h2> <p> Published in: Desalination<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.desal.2025.119010" target="_blank">https://dx.doi.org/10.1016/j.desal.2025.119010</a></p>2025-05-20T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.desal.2025.119010https://figshare.com/articles/journal_contribution/Modeling_and_thermoeconomic_analysis_of_new_polygeneration_system_based_on_geothermal_energy_with_sea_water_desalination_and_hydrogen_production/29163809CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/291638092025-05-20T15:00:00Z
spellingShingle Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
Wulaer Shaersaikai (21436652)
Engineering
Electrical engineering
Environmental engineering
Polygeneration
Energy efficiency
Desalination
Geothermal energy
Exergy analysis
PEM electrolyzer
status_str publishedVersion
title Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
title_full Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
title_fullStr Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
title_full_unstemmed Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
title_short Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
title_sort Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
topic Engineering
Electrical engineering
Environmental engineering
Polygeneration
Energy efficiency
Desalination
Geothermal energy
Exergy analysis
PEM electrolyzer