Automation of Electric Power SystemsVol. 40, Issue 3, Pages: 116-121(2016)
作者机构:
能源热转换及其过程测控教育部重点实验室(东南大学),江苏省,南京市,210096
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Published:2016
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ZHOU Chi. [J]. Automation of electric power systems, 2016, 40(3): 116-121.
DOI:
ZHOU Chi. [J]. Automation of electric power systems, 2016, 40(3): 116-121.DOI:
具有CO2负排放的风电高温储能系统模拟
摘要
风能的反调峰特性使得弃风现象较为严重。针对该情况
提出了CaO高温储能耦合生物质发电厂消纳风电的方法
有望实现风电的规模化储存和CO2负排放
并构建了CaO储能耦合生物质发电并捕集CO2的系统模型;此外
基于Aspen Plus软件平台对系统的热力性能进行了模拟
分析了碳酸化炉接入位置对系统储电效率和CO2捕集量的影响。同时
结合对碳酸化炉和CaCO3煅烧炉的灵敏度分析
得到了最佳工作条件下的集成系统储电效率和消纳单位风电的CO2捕集量。
Abstract
The reverse peak load characteristics of wind energy result in a large portion of the wind power wasted. In order to solve this problem
a novel biomass-fired power plant integrated by CaO energy storage under high temperature for wind power accommodation with CO2 negative emissions is proposed. A model based on CaO energy storage integrated biomass-fired power plants is built to simulate wind power accommodation and CO2 capture. The thermodynamic performances of the system are analyzed using Aspen Plus software and the influences of the carbonation reactor positions on the energy storage efficiency and the CO2 capture are also discussed. Meanwhile
combined with the sensitive analysis on carbonation reactor and calcinations reactor
the energy storage efficiency of the system is calculated to be 39. 4% while the CO2 capture for wind power reaches 0. 792 kg/(kW·h)under the optimal operation condition.