Techno-economic analysis of supercritical carbon dioxide cycle integrated with coal-fired power plant

被引:32
作者
Thanganadar, Dhinesh [1 ]
Asfand, Faisal [1 ,2 ]
Patchigolla, Kumar [1 ]
Turner, Peter [1 ]
机构
[1] Cranfield Univ, Sch Water Energy & Environm SWEE, Cranfield MK43 0AL, Beds, England
[2] Univ Huddersfield, Sch Comp & Engn, Huddersfield HD1 3DH, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
Supercritical CO2 cycle; Fossil-fired; Techno-economic; Cost of electricity; Multi-variable optimisation; BRAYTON CYCLE;
D O I
10.1016/j.enconman.2021.114294
中图分类号
O414.1 [热力学];
学科分类号
摘要
Supercritical carbon dioxide (sCO(2)) cycles can achieve higher efficiencies than an equivalent steam Rankine cycle at higher turbine inlet temperatures (>550 degrees C) with a compact footprint (tenfold). sCO(2) cycles are lowpressure ratio cycles (similar to 4-7), therefore recuperation is necessary, which reduces the heat-addition temperature range. Integration of sCO(2) cycles with the boiler requires careful management of low-temperature heat to achieve higher plant efficiency. This study analyses four novel sCO(2) cycle configurations which capture the low-temperature heat in an efficient way and the performance is benchmarked against the state-of-the-art steam Rankine cycle. The process parameters (13-16 variables) of all the cycle configurations are optimised using a genetic algorithm for two different turbine inlet temperatures (620 degrees C and 760 degrees C) and their techno-economic performance are compared against the advanced ultra-supercritical steam Rankine cycle. A sCO(2) power cycle can achieve a higher efficiency than a steam Rankine cycle by about 3-4% points, which is correspond to a plant level efficiency of 2-3% points, leading to cost of electricity (COE) reduction. Although the cycle efficiency has increased when increasing turbine inlet temperature from 620 inverted perpendicular C to 760 degrees C, the COE does not notably reduce owing to the increased capital cost. A detailed sensitivity study is performed for variations in compressor and turbine isentropic efficiency, pressure drop, recuperator approach temperature and capacity factor. The MonteCarlo analysis shows that the COE can be reduced up to 6-8% compared to steam Rankine cycle, however, the uncertainty of the sCO(2) cycle cost functions can diminish this to 0-3% at 95% percentile cumulative probability.
引用
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页数:19
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