Transient Simulation and Control Strategy of Supercritical CO2 Solar Thermal Power Generation System

Fengqiao Hu
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Abstract

In order to mitigate climate change and promote energy revolution, it is imperative to develop new energy technology of supercritical carbon dioxide (sCO 2 ) solar thermal power generation. By studying the basic scientific problems of the integration of the S-CO2 Breton cycle with the solar tower (SPT) station, it will contribute to the realization of the zero-carbon scenario. By establishing the dynamic simulation model of the integrated system, the key parameters of the system are determined, and the transient simulation and control strategy are studied. The results show that the efficiency of the system decreases by 3.1% at 75% load operation and 9.5% at 50% load operation compared with 100% load operation. Compared with conventional inventory control, the power generation of the system on the summer solstice and winter solstice after adopting extremum-seeking control increased by 2.06% and 1.61%, after adopting differential evolution control increased by 2.13% and 1.69%. While, when the DNI exceeds 600kW/m2, extremum-seeking control shows greater advantage compared with differential evolution control. At last, some suggestions on promoting clean energy technology innovation are put forward.
超临界CO2太阳能热发电系统暂态仿真及控制策略
为了减缓气候变化,促进能源革命,发展超临界二氧化碳(sCO 2)太阳能热发电新能源技术势在必行。通过研究S-CO2布雷顿循环与太阳能塔(SPT)站整合的基础科学问题,将有助于实现零碳情景。通过建立集成系统的动态仿真模型,确定了系统的关键参数,研究了系统的暂态仿真和控制策略。结果表明,与100%负荷运行相比,75%负荷运行时系统效率下降3.1%,50%负荷运行时系统效率下降9.5%。与常规库存控制相比,采用极值寻优控制后系统夏至和冬至发电量分别增加了2.06%和1.61%,采用差分进化控制后系统夏至和冬至发电量分别增加了2.13%和1.69%。当DNI超过600kW/m2时,极值寻优控制比差分进化控制更有优势。最后,提出了促进清洁能源技术创新的几点建议。
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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