• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2023, Vol. 44 ›› Issue (1): 39-46.doi: 10.12204/j.issn.1000-7229.2023.01.005

• 国家重点研发计划 • 上一篇    下一篇

基于TRNSYS的气候变化下“冷-热-电”联供系统运行优化

许野1,2(), 何哲晨1,2, 谭钧元1,2, 郭军红1,2, 李薇1,2, 李亚楼3   

  1. 1.华北电力大学环境科学与工程学院,北京市 102206
    2.教育部资源环境系统优化重点实验室,北京市 102206
    3.电网安全与节能国家重点实验室(中国电力科学研究院有限公司) 北京市 100192
  • 收稿日期:2022-07-26 出版日期:2023-01-01 发布日期:2022-12-26
  • 通讯作者: 许野 E-mail:1591164778xuye@edu.cn
  • 作者简介:何哲晨(1999),女,硕士研究生,主要研究方向为综合能源管理、气候变化。
    谭钧元(1997),女,硕士研究生,主要研究方向为建筑负荷预测。
    郭军红(1984),男,博士,实验员,研究方向为区域气候模式。
    李薇(1974),女,博士,教授,研究方向为环境科学与资源利用。
    李亚楼(1974),男,博士,教授级高级工程师,研究方向为电力系统数字仿真。
  • 基金资助:
    国家重点研发计划(2018YFE0208400)

Research on Operation Optimization of CCHP System Under Climate Change Based on TRNSYS

XU Ye1,2(), HE Zhechen1,2, TAN Junyuan1,2, GUO Junhong1,2, LI Wei1,2, LI Yalou3   

  1. 1. The College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
    2. MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Beijing 102206, China
    3. State Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing 100192, China
  • Received:2022-07-26 Online:2023-01-01 Published:2022-12-26
  • Contact: XU Ye E-mail:1591164778xuye@edu.cn

摘要:

气候变化导致的极端天气给建筑负荷和冷、热、电联供(combined cooling heating and power, CCHP)系统供能策略带来很大的影响,以上海市某医院为主要研究对象,采用PRECIS软件预测该地区2025至2100年的温度变化,利用TRNSYS软件搭建医院能耗模型计算气候变化影响下的全年逐时负荷,构建了考虑负荷变化影响的“冷-热-电”联供系统运行优化模型,最终生成适应气候变化的供能系统运行方案。负荷预测结果表明,极端高温现象导致建筑的冷、热负荷呈现波动变化趋势,可能造成供需失衡,即夏季高温制冷不足和冬天暖冬供暖过剩的问题。与传统优化模型相比,该模型生成的系统协同运行方案可以增强用户体验,实现降本增效。

关键词: 冷-热-电联供(CCHP), 气候变化, 负荷预测, 协同优化

Abstract:

The extreme weather caused by climate change will have large impact on building load and energy supply strategy of combined cooling, heating and power (CCHP) system. Firstly, taking a hospital in Shanghai as the main research object, the regional climate model (PRECIS) is used to predict the temperature change of the area in the future to 2100. Secondly, the TRNSYS software is utilized to build energy consumption model of the hospital for calculating the annual hourly load under climate change. Next, the operation optimization model of CCHP system with the consideration of load variation is formulated. Finally, the operation scheme of the energy supply system adapting to climate change is generated. Load-prediction results demonstrated that the fluctuation variation trend of the cooling and heating load of targeted building caused by the extreme high temperature might lead to the imbalance between energy provision and requirement, e.g., the insufficient cold supply under the hot summer and the excessive heat supply under the warm winter. Compared with the traditional optimization model, the coordinated operation scheme generated by proposed model is capable of enhancing the user experience, reducing the cost and increasing the benefit.

This work is supported by National Key R&D Program of China (No. 2018YFE0208400).

Key words: combined cooling, heating and power (CCHP), climate change, load prediction, cooperative optimization

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