蓄能模式下分布式冷热电联产系统的协同优化

杨涛; 任洪波; 夏麟

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DOI:10.3969/j.issn.1006-4729.2019.04.012

上海电力大学学报:2019,35(4):367-372,378

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蓄能模式下分布式冷热电联产系统的协同优化

杨涛¹, 任洪波¹, 夏麟²

(1.上海电力学院能源与机械工程学院;2.华东建筑设计研究院有限公司)

Optimization of Combined Cooling Heating and Power System with Energy Storage

YANG Tao¹, REN Hongbo¹, XIA Lin²

(1.School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.East China Architectural Design and Research Institute, Shanghai 200041, China)

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本文已被：浏览 1352次下载 458次
投稿时间：2018-04-28

中文摘要: 建立了带蓄能装置的分布式冷热电联产系统设备配置与运行策略的协同优化数学模型。通过典型案例分析，探讨了相同负荷需求下，采用常规分供系统与有无蓄能的联产系统时各供能模式的经济性和节能减排性。结果表明，在分时电价体系下，冷热电联产系统中引入蓄能装置可以有效降低运行成本，减少CO2排放，并可提高系统的灵活性。

中文关键词: 冷热电联产蓄能优化配置优化运行

Abstract:A collaborative optimization model is developed for the design and operation of a combined cooling heating and power (CCHP) system equipped with the storage tank.In addition,a numerical study is conducted to understand the economic,energy-saving and environmental benefits of the CCHP system with and without energy storage compared with the conventional energy system.According to the simulation results,under the time-of-use tariff rates,the introduction of energy storage within the CCHP system may result in reasonable reduction of running cost and CO2 emissions.Moreover,the system flexibility can be also enhanced.

keywords: combined cooling heating and power energy storage configuration optimization operation optimization

文章编号：20194012 中图分类号：TK01+9 文献标志码：

基金项目:上海市青年科技英才杨帆计划（17YF1406800）；上海市晨光计划（17CG57）；上海市科学技术委员会重点研究项目（18DZ1203200）。

作者	单位	E-mail
杨涛	上海电力学院能源与机械工程学院	tjrhb@163.com
任洪波	上海电力学院能源与机械工程学院
夏麟	华东建筑设计研究院有限公司

Author Name	Affiliation	E-mail
YANG Tao	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China	tjrhb@163.com
REN Hongbo	School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
XIA Lin	East China Architectural Design and Research Institute, Shanghai 200041, China

引用文本：
杨涛,任洪波,夏麟.蓄能模式下分布式冷热电联产系统的协同优化[J].上海电力大学学报,2019,35(4):367-372,378.
YANG Tao,REN Hongbo,XIA Lin.Optimization of Combined Cooling Heating and Power System with Energy Storage[J].Journal of Shanghai University of Electric Power,2019,35(4):367-372,378.