基于碳捕集的燃煤机组热力系统优化及技术经济分析

被引:14
作者
王继选 [1 ]
韩中合 [1 ]
刘小贞 [2 ]
白睿 [1 ]
王营营 [1 ]
王江江 [1 ]
机构
[1] 华北电力大学电站设备状态监测与控制教育部重点实验室
[2] 邯郸职业技术学院电子信息工程系
关键词
碳捕集电站; 热力系统; 参数优化; 粒子群算法; 碳税收;
D O I
暂无
中图分类号
X773 [电力工业];
学科分类号
080707 [能源环境工程];
摘要
碳捕集和封存是实现电力低碳化发展的关键所在,以600 MW机组为例,研究了碳捕集系统的能量流和质量流。提出了碳捕集系统与燃煤机组的耦合方式,计算了参考电站和碳捕集电站的热经济性。建立了碳捕集电站优化模型,以粒子群算法作为优化模型的求解算法,获得了系统的最优解。基于各设备投资成本,建立了碳捕集电站发电成本和CO2减排成本模型,研究了碳捕集电站的技术经济性。利用系统灵敏度分析方法,研究了碳税收和碳售价对发电成本和CO2减排成本的影响。结果表明:优化后碳捕集电站的热效率比优化前提高了1.1%;当CO2税收额高于0.33元/(kgCO2)时,碳捕集电站的经济性优于参考电站。
引用
收藏
页码:773 / 780
页数:8
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