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Techno-economic optimization for implantation of parabolic trough power plant: Case study of Algeria
Journal of Renewable and Sustainable Energy ( IF 2.5 ) Pub Date : 2020-12-18 , DOI: 10.1063/5.0013699
Khaoula Ikhlef 1 , Salah Larbi 1
Affiliation  

This paper deals with Hassi R'mel's solar power plant, a solar power plant one (SPPI) located in Algeria's southern region. The current configuration of the SPPI is a 25 MW parabolic trough used with 130 MW connected cycle gas turbines. In this paper, a techno-economic analysis of the solar part of the SPPI is described. A multiobjective optimization process was carried out to find the most favorable conditions, the most suitable parameters, and the solar power plant's optimum design configuration for better energy production in the future. We optimized the solar multiple, the fossil fill fraction of the backup system, and a full load of thermal storage system for the minimum levelized cost of electricity (LCOE) and the maximum capacity factor. The results showed that the lowest LCOE reached about 5.83 €/kWh for a solar multiple of 1.6. The optimum value of fossil fill fraction is 0.2, with a capacity factor of 60%, and the best optimization of the storage system is 4 h. The optimum power plant produced 118.26 GWh per year. It was concluded that the use of wet cooling was more economical than dry cooling and that among the heat transfer fluids, Therminol VP1 was the best. The validation of the theoretical results confirmed their agreement with the SPPI and solar energy generation system-VI power plants' experimental data. These findings proved that concentrating solar power may be considered as the right solution in countries in the desert and equatorial regions, the Middle East and North Africa region, especially Algeria, where abundant solar energy is available.

中文翻译:

抛物线槽式电厂的技术经济优化:阿尔及利亚的案例研究

本文涉及Hassi R'mel的太阳能发电厂,这是位于阿尔及利亚南部地区的一家太阳能发电厂(SPPI)。SPPI的当前配置是25 MW抛物线槽,与130 MW连接的循环燃气轮机一起使用。本文描述了SPPI太阳能部分的技术经济分析。进行了多目标优化过程,以找到最有利的条件,最合适的参数以及太阳能发电厂的最佳设计配置,以便将来更好地生产能源。我们优化了太阳能倍数,备用系统的化石填充率以及储热系统的满负荷,以实现最低的平准化电力成本(LCOE)和最大容量因子。结果表明,最低的LCOE达到约5。83欧元/千瓦时,太阳能倍数为1.6。化石填充分数的最佳值为0.2,容量因子为60%,存储系统的最佳优化为4 h。最佳发电厂每年产生118.26 GWh。结论是,使用湿冷比干冷更经济,并且在传热流体中,Therminol VP1是最好的。理论结果的验证证实了他们与SPPI和太阳能发电系统VI电厂的实验数据的一致性。这些发现证明,在沙漠和赤道地区,中东和北非地区(尤其是阿尔及利亚)拥有丰富太阳能的国家中,集中太阳能可被视为正确的解决方案。
更新日期:2020-12-30
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