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首页> 《中国测试》期刊 >本期导读>CCHP系统优化配置及与传统热电联产系统的性能对比分析

CCHP系统优化配置及与传统热电联产系统的性能对比分析

199    2020-07-22

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作者:严晓生1, 吴迪2

作者单位:1. 国电泉州热电有限公司,福建 泉州 362804;
2. 华北电力大学,河北 保定 071003


关键词:CCHP系统;年总成本;传统热电联产系统;能源利用率;太阳能光热系统


摘要:

分布式能源系统可实现多类型能源互补供能、能量梯级利用,具有高效、环保、经济、可靠和灵活等特点。该文建立以经济性为导向的冷-热-电联产系统(CCHP)混合整数非线性优化配置模型,可对冷-热-电联产系统的原动机容量和太阳能集热器面积进行协同优化。选取北京地区某居住建筑为研究对象,利用传统热电联产系统、CCHP系统、耦合太阳能光热系统的CCHP系统分别对其进行冷、热、电能量供应,基于以电定热(FEL)和以热定电(FTL)两种运行策略对联产系统进行优化配置,并从经济性和能效性方面对3种系统进行对比分析。结果表明,基于FEL策略优化得到耦合太阳能光热系统的CCHP系统在经济性和能效性方面更具优势。


Optimal configuration of CCHP system and performance comparison with traditional cogeneration system
YAN Xiaosheng1, WU Di2
1. Guodian Quanzhou Thermal Power Co., Ltd., Quanzhou 362804, China;
2. North China Electric Power University, Baoding 071003, China
Abstract: Distributed energy system can realize multi-energy complement, energy cascade utilization, and has the characteristics of high efficiency, environmental protection, economy, reliability and flexibility. In this paper, a mixed integer non-linear optimization model of combined cooling, heating and power system(CCHP) with economic benefit index has been introduced, which can optimize the capacity of prime mover and the area of solar collector. A residential building in Beijing has been set as research target, the energy loads of which were supplied by the traditional combined heat and power system, CCHP system and CCHP system coupled with solar thermal utilization system(CCHP-Solar), respectively. Based on two operation strategies, following the electric load (FEL) and following the thermal load (FTL). Meanwhile, the comparison and analysis of the three systems were carried out from economy and energy aspects. The study shows that the CCHP system coupled with solar thermal utilization system under FEL strategy has the most energy and economic advantages.
Keywords: combined cooling, heating and power system;annual total cost;traditional cogeneration system;energy ratio;solar thermal utilization system
2020, 46(7):159-168  收稿日期: 2020-02-19;收到修改稿日期: 2020-04-04
基金项目: 国家科技支撑计划(2014BAA06B01);中央高校基本科研业务费专项资金资助(2018QN084)
作者简介: 严晓生(1981-),男,福建泉州市人,高级工程师,硕士,主要研究方向为火电机组优化运行及节能技术
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