Mohamed Larbi, Abdelkader Rouibah, Laroussi Kouider, Singh Arvind R, Bajaj Mohit, Tuka Milkias Berhanu
Laboratory Applied Automation and Industrial Diagnostics of University of Djelfa (LAADI), PO Box 3117, Djelfa, 17000, Algeria.
Department of Electrical Engineering, School of Physics and Electronic Engineering, Hanjiang Normal University, Hubei , Shiyan, 442000, P. R. China.
Sci Rep. 2025 Apr 25;15(1):14456. doi: 10.1038/s41598-025-97236-4.
This paper presents a comprehensive techno-economic analysis of three molten salt Concentrated Solar Power (CSP) tower plants located in the regions of Mechria, Adrar, and Tindouf in Algeria. The study evaluates the thermal efficiency, economic feasibility, and performance of these CSP using the System Advisor Model (SAM) software, which accurately models Direct Normal Irradiance (DNI), a critical factor influencing plant performance. Key parameters analyzed include Solar Multiple (SM), Thermal energy storage (TES) hours, capacity factor (CF), and the Levelized Cost of Energy (LCOE). The results demonstrate that an optimal heliostat field configuration with a SM of 1.8 and 10 h of TES achieves a capacity factor of 51.49%, with a minimum LCOE of 0.097 $/kWh. In Mechria, with operational and maintenance costs projected at 2.51 million dollars. For the Adrar region, a SM of 1.6 and TES of 2 h yield an LCOE of 0.18 $/kWh at a capacity factor of 24.03%. Similarly, in Tindouf, a SM of 1.6 and TES of 8 h result in a capacity factor of 18.95% and an LCOE of 0.17 $/kWh. The analysis reveals that the design of CSP systems, particularly the combination of solar Multiple and TES, plays a pivotal role in optimizing the economic performance of the plants, This approach enables researchers to save time and costs by using satellite-derived DNI estimations, enhancing data accuracy and optimizing CSP deployment.
本文对位于阿尔及利亚梅赫里亚、阿德拉尔和廷杜夫地区的三座熔盐塔式聚光太阳能发电(CSP)电站进行了全面的技术经济分析。该研究使用系统顾问模型(SAM)软件评估了这些CSP电站的热效率、经济可行性和性能,该软件能精确模拟直射法向辐照度(DNI),这是影响电站性能的关键因素。分析的关键参数包括太阳能倍数(SM)、热能存储(TES)时长、容量系数(CF)和平准化度电成本(LCOE)。结果表明,采用1.8的太阳能倍数和10小时的TES的最优定日镜场配置,容量系数达到51.49%,平准化度电成本最低为0.097美元/千瓦时。在梅赫里亚,运营和维护成本预计为251万美元。在阿德拉尔地区,1.6的太阳能倍数和2小时的TES在容量系数为24.03%时,平准化度电成本为0.18美元/千瓦时。同样,在廷杜夫,1.6的太阳能倍数和8小时的TES导致容量系数为18.95%,平准化度电成本为0.17美元/千瓦时。分析表明,CSP系统的设计,特别是太阳能倍数和TES的组合,对优化电站的经济性能起着关键作用。这种方法使研究人员能够通过使用卫星衍生的DNI估计值节省时间和成本,提高数据准确性并优化CSP部署。