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Thermo-enviro-economic optimization of a coke oven gas and LNG-driven multi-generation system: A 4E analysis with life cycle analysis and intelligent multi-objective optimization

Abdellatif M. SadeqFaculty of Agricultural Mechanization, TIIAME National Research University, Kori Niyoziy 39, 100000 Tashkent, UzbekistanB. Nageswara RaoDepartment of Mechanical Engineering, Vignan's Foundation for Science, Technology &Research, Vadlamudi, Guntur, Andhra Pradesh 522213, IndiaMohamed AyadiDepartment of Mathematics, College of Science, Majmaah University, Al Majmaah 11952, Saudi ArabiaM.A. AhmedDepartment of Mathematics, College of Science, Majmaah University, Al Majmaah 11952, Saudi ArabiaJong Boon OoiCentre for Net-Zero Technology, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, MalaysiaSayed Fayaz AhmadDepartment of Operations, Environment and Supply Chain Management, Institute of Business Management, Karachi, PakistanSohaib Tahir ChauhdaryDepartment of Electrical and Computer Engineering, College of Engineering, Dhofar University, Salalah 211, Sultanate of OmanSaad AlamriDepartment of Biology, College of Science, King Khalid University, Abha 61413, Saudi Arabia
2026en

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Annotatsiya

A new COG-fueled integrated multi-generation system is proposed and evaluated for simultaneous production of electricity, hydrogen, heating and cooling. The system consists of an organic Rankine, a modified Kalina, an electrolyzer, and liquefied-natural-gas cold-energy usage, while a cascaded heat recovery is employed to enhance resource utilization. 4E (exergy, energy, environmental, economic) assessments and a life cycle assessment (LCA) of environmental impacts are carried out to comprehensively test the system. Moreover, a hybrid Light Gradient Boosting Machine–Crow Search Algorithm framework is developed for the identification of optimal operating conditions under various multi-objective optimization situations. Under the baseline scenario, the setup yields an energetic efficiency of 62.51%, an exergetic efficiency of 37.44% and a net power generation of 16,007 kW, H 2 output of 8.06 kg/h, energy levelized cost (LCOE) of 0.0952 $/kWh, and CO 2 emission intensity of 0.216 kg/kWh. The economic evaluation results in a payback period of 5.538 years and a net present value of 50.969 M$. The LCA leads to a total global-warming of 0.64 kg CO₂-eq /kWh. The multi-objective optimization results in an even better system performance with an exergetic stability factor of 0.252, an LCOE of 0.073 $/kWh and an exergetic efficiency of 42.49%. By presenting the outcomes, the potential of the suggested integrated setup and hybrid optimization approach to enhance the thermo-economic-environmental performance of COG-fueled multi-generation systems was demonstrated.

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