Design and multi-criteria optimization and financial assessment of an innovative combined power plant and desalination process

被引:3
作者
Feng, Jieru [1 ,2 ]
Huang, Yiqing [3 ]
Li, Juqiang [4 ]
Li, Xuetao [1 ,2 ]
机构
[1] Hubei Univ Automot Technol, Sch Econ & Management, Shiyan 442000, Hubei, Peoples R China
[2] Chinese Acad Engn, Shiyan Ind Tech Acad, Shiyan 442000, Hubei, Peoples R China
[3] Wenzhou Polytech, Sch Digital Econ & Trade, Wenzhou 325000, Zhejiang, Peoples R China
[4] Binzhou Polytech, Fac Accounting, Binzhou 256603, Shandong, Peoples R China
关键词
Geothermal-driven power generation; Cascade thermal design; Multi-criteria optimization; Desalination; Economic analysis; GEOTHERMAL HEAT; SYSTEM; DRIVEN;
D O I
10.1016/j.energy.2024.131487
中图分类号
O414.1 [热力学];
学科分类号
摘要
Geothermal power generation programs are crucial due to their long-term sustainability and environmentally friendly characteristics, particularly for potential energy-based applications in the future. Innovative designs can yield improve efficien by mitigating irreversibility, resulting in enhanced power production. Hence, this study investigates an innovative cascade thermal design model that employs geothermal resources to enhance the efficiency and output of low-temperature power generation systems, specifically through the integration of organic flash and organic Rankine cycles. Additionally, this model introduces a novel cogeneration approach by incorporating a desalination unit based on humidification-dehumidification processes, aiming to concurrently produce electricity and fresh water. Employing a combination of thermodynamic analysis and financial assessment, the system's performance was simulated and optimized in MATLAB, using the Multi-Objective Particle Swarm Optimization (MOPSO) method. A sensitivity analysis preceded the optimization, leading to the development of three distinct optimization scenarios focused on balancing power and freshwater production, maximizing exergetic efficiency and net present value, and optimizing fixed capital investment for maximum financial viability. The results highlight the second scenario as particularly effective, achieving a power generation of 254.3 kW, an exergetic efficiency of 44.84 %, and a net present value of $405,099. Conversely, the third scenario offers the best balance between freshwater production capacity (0.504 kg/s), fixed capital investment ($820,822), and a payback period of 7.12 years. This research demonstrates the potential of integrating advanced thermal models with geothermal resources for sustainable and efficient energy and freshwater production, marking a significant step forward in the development of eco-friendly cogeneration systems.
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页数:18
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