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A study of the effect of design parameters on the performance of linear solar concentrator based thermal power plants in India

机译:设计参数对印度基于线性太阳能聚光器的热电厂性能的影响研究

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The sizing of a solar thermal power plant directly affects its cost and also the annual electricity output and hence its financial attractiveness. It involves deciding appropriate values of design DNI, solar multiple and hours of thermal storage to achieve high annual capacity utilization factor (CUF) with the least cost of electricity delivered. An analysis of the impact of these design parameters on the performance of parabolic trough concentrator (PTC) and linear Fresnel reflector (LFR) based solar thermal power plants is presented using System Advisor Model for eight locations in India. Annual electricity output is estimated using radiation data source of SEC-NREL. Levelized unit cost of electricity (LUCE) is estimated using benchmark capital cost and other financial conditions specified by the Central Electricity Regulatory Commission of Government of India. For a design DNI of 950 W/m(2), LUCE is minimum in solar multiple range of 1.4-1.6 for FTC based plants and of 1.8-2.0 for LFR based plants. With a solar multiple of 1.0, LUCE is minimum in design DNI range of 550-700 W/m(2) for PTC based plants and 450-550 W/m(2) for LFR based plants. (C) 2015 Elsevier Ltd. All rights reserved.
机译:太阳能热电厂的规模直接影响其成本以及年发电量,进而影响其财务吸引力。它涉及确定设计DNI,太阳能倍数和热量存储小时数的适当值,以用最少的电力成本实现高的年产能利用率(CUF)。使用印度的八个地区的系统顾问模型,分析了这些设计参数对基于抛物线槽聚光器(PTC)和线性菲涅尔反射器(LFR)的太阳能发电厂性能的影响。使用SEC-NREL的辐射数据源估算年发电量。根据印度政府中央电力监管委员会规定的基准资本成本和其他财务状况,估算平均单位电力成本(LUCE)。对于950 W / m(2)的设计DNI,基于FTC的电厂的LUCE在1.4-1.6的太阳能倍数范围内最小,而对于基于LFR的电厂在1.8-2.0的太阳能倍数范围内最小。太阳能倍数为1.0时,对于基于PTC的工厂,LUCE的最小设计DNI范围为550-700 W / m(2),对于基于LFR的工厂,则为450-550 W / m(2)。 (C)2015 Elsevier Ltd.保留所有权利。

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