节点文献

小型生物质沼气冷热电联供系统多目标优化设计与运行分析

Multi-objective Optimization Design and Operation Analysis of a Small Biomass Biogas Combined Cooling Heating and Power System

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 魏大钧孙波赵峰张承慧

【Author】 WEI Dajun;SUN Bo;ZHAO Feng;ZHANG Chenghui;School of Control Science and Engineering,Shandong University;

【机构】 山东大学控制科学与工程学院

【摘要】 数十千瓦级冷热电联供系统是解决中国农村生物质资源浪费的一种崭新而有效的途径,极具发展潜力。文中以动态系统仿真程序平台为基础,设计了一种计及设备变工况特性的小型生物质沼气内燃发电机组冷热电联供系统,并阐述了其能量流程和运行方式。同时,建立了综合能源、经济和环境效益的多目标优化模型,采用带约束因子的粒子群算法求解,实现了设备容量和运行参数优化。以某养殖场建筑全年冷热电负荷数据为例完成仿真,分析了优化系统运行情况,同时对比了沼气与天然气联供系统的性能差别。结果表明,优化后的联供系统较传统分供系统有效实现了节能减排,同时还可在寿命年限内回收投资成本;另一方面,相比天然气联供系统,沼气系统在节约能源成本和减排二氧化碳方面均具明显优势。

【Abstract】 As a brand new and effective approach to solve biomass resource wastes in China’s rural areas,the multi-kilowatt combined cooling heating and power(CCHP)system has extremely great potential for development.A small CCHP system is designed that is driven by biogas fuelled internal-combustion engine on the transient system simulation program platform considering off-design conditions.Its energy flow and operation mode are described and a model for multi-objective optimization of energy,economic and environmental benefits is developed.The particle swarm optimization algorithm with constraint coefficients is used in calculation to realize the equipment capacity and operation parameter optimization.As an example,a case study is made by simulation using the annual cooling,heating and electrical load of a farmland buildings.The operation performance of the optimized system is analyzed and the difference in performance between the biogas CCHP system and the natural gas CCHP system is shown.The results show that,the optimized CCHP system has effectively achieved energy-saving and carbon dioxide emission reduction compared to conventional separate production system,while the cost of investment can also be recovered within the lifetime of system.On the other hand,comparing to natural gas CCHP system,biogas CCHP system has obvious advantages of resource efficiency and carbon dioxide emission reduction.

【基金】 国家高技术研究发展计划(863计划)资助项目(2014AA052802);国家自然科学基金重大国际(地区)合作研究项目(61320106011);山东大学基本科研业务费资助项目(2014JC040)~~
  • 【文献出处】 电力系统自动化 ,Automation of Electric Power Systems , 编辑部邮箱 ,2015年12期
  • 【分类号】TK6;TM611.3
  • 【被引频次】83
  • 【下载频次】1275
节点文献中: 

本文链接的文献网络图示:

本文的引文网络