期刊文献+

基于动态自适应粒子群算法的二次再热燃煤–捕碳机组热力系统优化设计 被引量:8

Optimal Design for Thermodynamics System of Double Reheat Coal-fired Power Plants With Post-combustion Carbon Capture Based on Dynamic Adaptive Particle Swarm Optimization
在线阅读 下载PDF
导出
摘要 为了降低化学吸收法捕集CO_2对燃煤–捕碳机组热经济性的削弱作用,以某660MW二次再热机组为例,设计了一种带捕碳汽轮机的改进二次再热燃煤–捕碳热力系统集成型式;推导了该系统的通用性热经济性计算框架并建立了系统参数优化模型。应用动态自适应粒子群算法优化计算表明:改进设计的燃煤–捕碳机组与常规燃煤–捕碳机组相比,热经济性和减排效果明显提高,供电标准煤耗率下降了12.21g/(kW×h),CO_2排放率下降了4.07g/(kW×h);与未捕碳机组相比,CO_2排放率下降了576.15g/(kW×h)。捕碳汽轮机可以有效减少热力系统的损失,对二次再热燃煤–捕碳机组具有显著的降耗效应。 Integrating a coal-fired power plant with post-combustion CO2 captre based on chemical absorbent incurs serious efficiency and energy penalty. This study aims to provide insights into the design of full-scale post-combustion CO2 capture for a new double reheat power plant. Taking the 660MW double reheat unit as an example, a modified thermal system structure including a carbon capture turbine was presented for the double reheat power plant with CO2 capture. The versatile scheme for calculating the thermal economy and the thermal system parameter optimization model were set up. The dynamic adaptive particle swarm optimization was applied for the modified thermal system parameters optimization. Results indicate that the thermal efficiency and CO2 emission of the newly-designed unit have been obviously improved. The standard coal consumption rate for power supply has reduced 12.21g/(kW-h) and the CO2 emission rate has reduced 4.07g/(kW.h) compared with the conventional retrofitted unit. The CO2 emission rate has reduced 576.15g/(kW-h) compared with the conventional coal-fired unit. The carbon capture turbine can play an important role in effectively reducing the system exergy loss, and have significant energy-saving effect for the double reheat coal-fired power plants with post-combustion carbon capture.
机构地区 华北电力大学
出处 《中国电机工程学报》 EI CSCD 北大核心 2017年第9期2652-2659,共8页 Proceedings of the CSEE
基金 国家自然科学基金项目(51606066) 中央高校基本科研业务费专项资金项目(2014MS135)~~
关键词 二次再热机组 碳捕集 热力系统集成 动态自适应粒子群算法 优化设计 double reheat unit carbon capture thermodynamic system integration dynamic adaptive particle swarm optimization optimal design
作者简介 付文锋(1982),男,博士研究生,讲师,主要从事节能原理与技术方面的研究,fwf1982@163.com; 李嘉华(1992),男,硕士研究生,主要节能原理与技术方面的研究,15100291579@163.com。
  • 相关文献

参考文献9

二级参考文献191

共引文献201

同被引文献82

引证文献8

二级引证文献62

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部