TY - JOUR

T1 - Developing and optimizing a new cogeneration cycle to produce hydrogen from seawater

AU - Hai, Tao

AU - Goyal, Vishal

AU - Aminian, Saman

AU - Almujibah, Hamad

AU - Ta , Van Thuong

AU - Soliman, Naglaa

AU - El-Shafai, Walid

N1 - Текст о финансировании #1 A. The authors would like to acknowledge the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R66), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. B. This work was supported by The Youth Innovation Team of Shaanxi Universitie, the National Natural Science Foundation of China (No.61862051), the Science and Technology Foundation of Guizhou Province (No.[2019]1299, No.ZK[2022]449), the Top-notch Talent Program of Guizhou province (No.KY[2018]080), the Natural Science Foundation of Education of Guizhou province (No.[2019]203) and the Funds of Qiannan Normal University for Nationalities (No. qnsy2019rc09). The Educational Department of Guizhou under Grant NO. KY[2019]067, Key Research Capabilities Improvement Project for Qiannan Normal University for Nationalities in 2024(No.2024zdzk03; No.2024zdzk06). This work is supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R66), Pr...Смотреть все Текст о финансировании #2 B. This work was supported by The Youth Innovation Team of Shaanxi Universitie, the National Natural Science Foundation of China (No. 61862051 ), the Science and Technology Foundation of Guizhou Province (No. [2019]1299 , No. ZK[2022]449 ), the Top-notch Talent Program of Guizhou province (No. KY[2018]080 ), the Natural Science Foundation of Education of Guizhou province (No. [2019]203 ) and the Funds of Qiannan Normal University for Nationalities (No. qnsy2019rc09 ). The Educational Department of Guizhou under Grant NO. KY[2019]067 , Key Research Capabilities Improvement Project for Qiannan Normal University for Nationalities in 2024(No. 2024zdzk03 ; No. 2024zdzk06 ). Текст о финансировании #3 This work is supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number ( PNURSP2023R66 ), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

PY - 2024

Y1 - 2024

N2 - Global warming and the depletion of fossil fuels have driven countries to develop alternative fuel strategies. As an alternative fuel, hydrogen is very attractive since it has a high thermal energy and near-zero emissions. This paper proposes a new arrangement of the cogeneration cycle for hydrogen production from seawater is proposed and optimized via the multi-objective swarm optimization (MOPSO) algorithm. In this survey, hydrogen is produced through the electrochemical cycle Copper-Chloride (Cu-Cl), using the heat and electricity provided via waste heat recovery of a gas cycle. A reverse osmosis system provides drinking water for the Cu-Cl cycle. This cycle can produce 256 GWh of electricity and 23616 tons/year of hydrogen during a year. This cycle's first and second law efficiencies are 35.3 % and 7.2 %. Based on the financial aspects, this cycle's investment return time equals 4.1 years. By using MOPSO algorithm, the exergy efficiency of the cogeneration system is improved by 22.7 %, while the payback is decreased by around 33.3 %. © 2023 The Institution of Chemical Engineers.

AB - Global warming and the depletion of fossil fuels have driven countries to develop alternative fuel strategies. As an alternative fuel, hydrogen is very attractive since it has a high thermal energy and near-zero emissions. This paper proposes a new arrangement of the cogeneration cycle for hydrogen production from seawater is proposed and optimized via the multi-objective swarm optimization (MOPSO) algorithm. In this survey, hydrogen is produced through the electrochemical cycle Copper-Chloride (Cu-Cl), using the heat and electricity provided via waste heat recovery of a gas cycle. A reverse osmosis system provides drinking water for the Cu-Cl cycle. This cycle can produce 256 GWh of electricity and 23616 tons/year of hydrogen during a year. This cycle's first and second law efficiencies are 35.3 % and 7.2 %. Based on the financial aspects, this cycle's investment return time equals 4.1 years. By using MOPSO algorithm, the exergy efficiency of the cogeneration system is improved by 22.7 %, while the payback is decreased by around 33.3 %. © 2023 The Institution of Chemical Engineers.

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U2 - 10.1016/j.psep.2023.11.005

DO - 10.1016/j.psep.2023.11.005

M3 - Article

VL - 184

SP - 1525

EP - 1539

JO - Process Safety and Environmental Protection

JF - Process Safety and Environmental Protection

SN - 0957-5820

ER -