Exergetic and financial parametric analyses and multi-objective optimization of a novel geothermal-driven cogeneration plant; adopting a modified dual binary technique


Cao Y. Dhahad H.A. Togun H. Hussen H.M. Rashid T.A. Anqi A.E. Farouk N. Issakhov A.
December 2021Elsevier Ltd

Sustainable Energy Technologies and Assessments
2021#48

The use of flash-binary geothermal power plants is recognized as an appropriate concept for preparing a sustainable energy production facility. Hence, the target of the current research is to specify the exergetic and economic aspects of an innovative electricity and cooling cogeneration system comprising a dual-flash binary geothermal power plant and an ejector refrigeration unit. The essential point of this study is the smart use of the total capacity of a medium-temperature geothermal source to produce energy-based products and eliminate the weakness of the conventional setups, increasing the exergy and exergoeconomic performances. A parametric study has been implemented to analyze the effect of several main parameters on the vital variables including efficiencies, exergy destruction rate, sum unit exergy cost, investment cost rate, and exergoeconomic factor. Besides, a multi-objective optimization in different cases has been applied to the calculations through a non-dominated sorting genetic algorithm II (NSGA-II) to achieve an optimal design. The results showed that the performance of the system was more sensitive to changing the separators’ operating pressure of the plant. Likewise, the optimum exergy efficiency and optimum unit exergy cost of the system were found to be 12% and 0.0043 $/kWh through the exergy/cost multi-objective optimization case, correspondingly.

Cogeneration , Double-flash binary geothermal power plant , Exergetic , Financial , Optimization

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School of Mechatronic Engineering, Xian Technological University, Xian, 710021, China
Mechanical Engineering Department, University of Technology, Baghdad, Iraq
Department of Biomedical Engineering, University of Thi-Qar, Nassiriya, 64001, Iraq
Computer Science and Engineering, School of Science and Engineering, University of Kurdistan Hewer, Erbil, KRG, Iraq
Department of Mechanical Engineering, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
Mechanical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, 16273, Saudi Arabia
Mechanical Engineering Department, Faculty of Engineering, Red Sea University Port Sudan, Sudan
Department of Mathematical and Computer Modelling, al-Farabi, Kazakh National University, Almaty, 050040, Kazakhstan
Department of Mathematics and Cybernetics, Kazakh British Technical University, Almaty, 050000, Kazakhstan

School of Mechatronic Engineering
Mechanical Engineering Department
Department of Biomedical Engineering
Computer Science and Engineering
Department of Mechanical Engineering
Mechanical Engineering Department
Mechanical Engineering Department
Department of Mathematical and Computer Modelling
Department of Mathematics and Cybernetics

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