许野, 何哲晨, 谭钧元, 郭军红, 李薇, 李亚楼. 基于TRNSYS的气候变化下“冷-热-电”联供系统运行优化[J]. 电力建设, 2023, 44(1): 39-46.
引用本文: 许野, 何哲晨, 谭钧元, 郭军红, 李薇, 李亚楼. 基于TRNSYS的气候变化下“冷-热-电”联供系统运行优化[J]. 电力建设, 2023, 44(1): 39-46.
XU Ye, HE Zhe-chen, TAN Jun-yuan, GUO Jun-hong, LI Wei, LI Ya-lou. Research on Operation Optimization of CCHP System Under Climate Change Based on TRNSYS[J]. Electric Power Construction, 2023, 44(1): 39-46.
Citation: XU Ye, HE Zhe-chen, TAN Jun-yuan, GUO Jun-hong, LI Wei, LI Ya-lou. Research on Operation Optimization of CCHP System Under Climate Change Based on TRNSYS[J]. Electric Power Construction, 2023, 44(1): 39-46.

基于TRNSYS的气候变化下“冷-热-电”联供系统运行优化

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

  • 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。

     

    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.

     

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