Optimization and Techno-Economic Assessment of 50 MWe Solar Tower Power Plant for Different Climatic Zones in Pakistan

Z. Tahir, Muhammad Atif, M. Shabbir, Muhammad Azhar, Ghulam Murtaza Amjad, M. Asim, M. Ibrar, Muhammad Hamza, Muhammad Umer Khan, Sabtain Abbas, M. Adil
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Abstract

Optimal sizing of solar tower power (STP) plant with full load thermal energy storage (TES) hours and solar multiple (SM) is a challenge to reduce the overall cost of the system and increase system outputs. The growing trends of STP technology worldwide due to its higher efficiency make it an attractive option for several potential sites in Pakistan. The primary aim of this study is to check the effect of SM, solar field, TES hours and design point irradiance on the capacity factor (CF), annual energy generation (AEG) and levelized cost of electricity (LCOE) for STP plant with air-cooled and no backup system. The multi-objective optimization, comparison, and feasibility analysis of 50MW concentrated STP plant were performed at nine stations, receiving more than 1600 kWh/m 2 average annual direct normal irradiance (DNI), using the economic model of Pakistan. The solar radiation data of nine stations, used for performance analysis, was measured by ESMAP of the world bank. The techno-economic evaluation of the initial and optimized designs revealed that the optimized design has higher CF, AEG, and lower LCOE. It was found that LCOE depends on the SM, TES hours and DNI value of the location. The results indicate that the least LCOE under the optimized configuration of the proposed plant for Khuzdar is 6.67 ¢/kWh, followed by Quetta 7.25 ¢/kWh for Salt 1 (60% NaNO 3 and 40% KNO 3 ). It is, therefore, concluded that Khuzdar is the best-suited place for STP plant installation, followed by Quetta, and Lahore is the least suitable out of the nine stations.
巴基斯坦不同气候带50mwe太阳能塔式电站优化及技术经济评价
具有全负荷蓄热(TES)小时数和太阳能倍数(SM)的太阳能塔式发电(STP)电站的优化尺寸是降低系统总体成本和增加系统输出的一个挑战。STP技术由于其更高的效率,在全球范围内的发展趋势使其成为巴基斯坦几个潜在站点的有吸引力的选择。本研究的主要目的是检查SM,太阳能场,TES小时和设计点辐照度对STP风冷无备用系统的容量因子(CF),年发电量(AEG)和平准化电力成本(LCOE)的影响。采用巴基斯坦经济模型,对年平均直接正常辐照度(DNI)大于1600 kWh/ m2的9个电站的50MW浓缩STP电站进行了多目标优化、比较和可行性分析。9个台站的太阳辐射数据由世界银行ESMAP测量,用于性能分析。对初始设计和优化设计的技术经济评价表明,优化设计具有较高的CF、AEG和较低的LCOE。结果表明,LCOE与地点的SM、TES小时和DNI值有关。结果表明,在优化配置下,库兹达的LCOE最低,为6.67美分/千瓦时,其次是奎达的7.25美分/千瓦时,盐1(60%的NaNO 3和40%的kno3)。因此,结论是Khuzdar是最适合安装STP工厂的地方,其次是Quetta,而Lahore是最不适合的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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