Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach

The proposed system is designed to address the growing demand for sustainable and efficient energy solutions that can minimize greenhouse gas emissions while meeting the increasing energy needs of a modern world. The integrated approach of the system allows it to produce not only electricity but als...

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Main Authors: Du, Gang, Wei, Haoran, Singh, Pradeep Kumar, Dutta, Ashit Kumar, Abdullaeva, Barno Sayfutdinovna, Fouad, Yasser, Alkhalaf, Salem, Alkhayyat, Ahmed, Deifalla, Ahmed
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Published: Elsevier 2024
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Online Access:http://eprints.um.edu.my/45500/
https://doi.org/10.1016/j.csite.2024.104170
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spelling my.um.eprints.455002024-10-22T08:51:04Z http://eprints.um.edu.my/45500/ Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach Du, Gang Wei, Haoran Singh, Pradeep Kumar Dutta, Ashit Kumar Abdullaeva, Barno Sayfutdinovna Fouad, Yasser Alkhalaf, Salem Alkhayyat, Ahmed Deifalla, Ahmed TJ Mechanical engineering and machinery The proposed system is designed to address the growing demand for sustainable and efficient energy solutions that can minimize greenhouse gas emissions while meeting the increasing energy needs of a modern world. The integrated approach of the system allows it to produce not only electricity but also hydrogen and fresh water from seawater, making it a comprehensive solution to multiple challenges. The system comprises several components that work together including a gas turbine unit, Rankine and organic Rankine cycles, a multi -effect desalination (MED) system, and a proton exchange membrane (PEM) electrolyzer. One significant characteristic of this system is its ability to generate hydrogen, which is later combined with the inlet fuel of the gas turbine. This novel methodology presents a more environmentally friendly fuel alternative, showcasing its potential to enhance combustion efficiency in a sustainable manner. To ensure the viability and feasibility of the system, a MATLAB function was utilized for calculating the base case scenario, followed by a GA optimization technique with the aid of a machine learning model to minimize run-time. In the given scenario, the total cost rate is measured at 3726 $/h, with an exergy efficiency of 54% and a normalized CO2 emission of 305 kg/GJ. Following the optimization process, significant enhancements can be observed. The cost rate decreases by 2202 $/h, the exergy efficiency improves from 54% to 55.61%, and the annual CO2 emissions decrease from 133,760 metric tons to 50,320 metric tons. Moreover, the implementation of blended fuel leads to a 10% decrease in normalized CO2 emissions. Elsevier 2024-03 Article PeerReviewed Du, Gang and Wei, Haoran and Singh, Pradeep Kumar and Dutta, Ashit Kumar and Abdullaeva, Barno Sayfutdinovna and Fouad, Yasser and Alkhalaf, Salem and Alkhayyat, Ahmed and Deifalla, Ahmed (2024) Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach. Case Studies in Thermal Engineering, 55. p. 104170. ISSN 2214-157X, DOI https://doi.org/10.1016/j.csite.2024.104170 <https://doi.org/10.1016/j.csite.2024.104170>. https://doi.org/10.1016/j.csite.2024.104170 10.1016/j.csite.2024.104170
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Du, Gang
Wei, Haoran
Singh, Pradeep Kumar
Dutta, Ashit Kumar
Abdullaeva, Barno Sayfutdinovna
Fouad, Yasser
Alkhalaf, Salem
Alkhayyat, Ahmed
Deifalla, Ahmed
Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
description The proposed system is designed to address the growing demand for sustainable and efficient energy solutions that can minimize greenhouse gas emissions while meeting the increasing energy needs of a modern world. The integrated approach of the system allows it to produce not only electricity but also hydrogen and fresh water from seawater, making it a comprehensive solution to multiple challenges. The system comprises several components that work together including a gas turbine unit, Rankine and organic Rankine cycles, a multi -effect desalination (MED) system, and a proton exchange membrane (PEM) electrolyzer. One significant characteristic of this system is its ability to generate hydrogen, which is later combined with the inlet fuel of the gas turbine. This novel methodology presents a more environmentally friendly fuel alternative, showcasing its potential to enhance combustion efficiency in a sustainable manner. To ensure the viability and feasibility of the system, a MATLAB function was utilized for calculating the base case scenario, followed by a GA optimization technique with the aid of a machine learning model to minimize run-time. In the given scenario, the total cost rate is measured at 3726 $/h, with an exergy efficiency of 54% and a normalized CO2 emission of 305 kg/GJ. Following the optimization process, significant enhancements can be observed. The cost rate decreases by 2202 $/h, the exergy efficiency improves from 54% to 55.61%, and the annual CO2 emissions decrease from 133,760 metric tons to 50,320 metric tons. Moreover, the implementation of blended fuel leads to a 10% decrease in normalized CO2 emissions.
format Article
author Du, Gang
Wei, Haoran
Singh, Pradeep Kumar
Dutta, Ashit Kumar
Abdullaeva, Barno Sayfutdinovna
Fouad, Yasser
Alkhalaf, Salem
Alkhayyat, Ahmed
Deifalla, Ahmed
author_facet Du, Gang
Wei, Haoran
Singh, Pradeep Kumar
Dutta, Ashit Kumar
Abdullaeva, Barno Sayfutdinovna
Fouad, Yasser
Alkhalaf, Salem
Alkhayyat, Ahmed
Deifalla, Ahmed
author_sort Du, Gang
title Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
title_short Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
title_full Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
title_fullStr Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
title_full_unstemmed Thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; A multi-attitude optimization based on ANN approach
title_sort thermal/econmic/environmental considerations in a multi-geneation layout with a heat recovery process; a multi-attitude optimization based on ann approach
publisher Elsevier
publishDate 2024
url http://eprints.um.edu.my/45500/
https://doi.org/10.1016/j.csite.2024.104170
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