Статья

Waste heat harness in a thermal energy system using TEGs, and SCO2 brayton cycle driven by renewable sources for electricity and liquid hydrogen Production: Thermo-Economic optimization using ANNs

Amr S. AbouziedDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail 81442, Saudi ArabiaSarminah SamadDepartment of Management, College of Business Administration, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi ArabiaPradeep Kumar SinghDepartment of Mechanical Engineering, Institute of Engineering & Technology, GLA University, Mathura, U.P., 281406, IndiaAhmed H. JanabiMohamed ShabanDepartment of Physics, Faculty of Science, Islamic University of Madinah, Madinah 42351, Saudi ArabiaAsma Ahmed A. MohammedDepartment of Computer science, University of Tabuk, Saudi ArabiaShoira FormanovaDepartment of Chemistry and Its Teaching Methods, Tashkent State Pedagogical University, Tashkent, UzbekistanHusan AliPhysics Department, Faculty of Science, King Khalid University, P.O. Box 9004, Abha, Saudi ArabiaSamah G. BabikerDepartment of Electronic Physics, Faculty of Applied Science, Red Sea University, Port Sudan, SudanAbdulrahman M. AlansariDepartment of Mechanical Engineering, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia

Case Studies in Thermal Engineeringjournal2025en

ABI

Аннотация

This research introduces an innovative thermal energy system that combines solar and wind energy to produce electricity, generate hydrogen, and facilitate liquefaction. This system includes a parabolic trough solar collector (PTSC) that heats nitrate salts, transferring the thermal energy to a supercritical carbon dioxide Brayton cycle (SCO 2 -BC). Furthermore, thermoelectric generators (TEG) are integrated to capture energy from waste heat sources. Additionally, this study breaks new ground by incorporating solar and wind power with a supercritical CO 2 cycle alongside hydrogen liquefaction, a field that is still relatively uncharted. A detailed techno-economic and environmental model is utilized to assess the system's performance, concentrating on critical indicators such as second law efficiency, total cost rate, hydrogen production rate, net power output, levelized costs, and the rate of CO 2 emission reduction. Following this, an optimization process is carried out using a genetic algorithm to investigate two different scenarios. Finally, the LINMAP method is applied to identify optimal solutions for each scenario. The study reveals that the system generated a grid power output of 461.2 kW and produced 8.3 kg of liquid hydrogen per hour. The overall cost of operation was established at 103.8 $/h with an exergy efficiency of 16.2%. Further refinements resulted in values of 19.33% for second-law efficiency, 124.80 $/h for cost rate, and 1021.64 kW for grid power.

Темы

Thermodynamic and Exergetic Analyses of Power and Cooling Systems Solar Thermal and Photovoltaic Systems Hybrid Renewable Energy Systems

Идентификаторы

DOI: 10.1016/j.csite.2025.106369

Цитирования и источники

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