241 / 2022-02-15 19:52:23
A review of district energy for building decarbonization
district energy;,optimal operation,distributed energy system,building decarbonization,digital twin cities
Energy Science and Technology > 7. Development and Utilization Technology of New Energy and Renewable Energy
Abstract Accepted
晓宇 朱 / 东华大学
钰 李 / 东华大学
    建筑能耗约占我国社会总能耗的25%,在全面践行“碳达峰、碳中和”目标的背景下,大力发展低碳建筑是建筑行业实现双碳目标的重要途径。分布式能源作为一种综合能源利用方式,能有效提高可再生能源利用率,降低能源成本和对环境的污染。在既有建筑周边构建分布式能源系统能有效降低建筑碳排放,助力“双碳”目标。本文主要论述了分布式能源在建筑中的高效利用,首先讨论了建筑分布式能源系统的组成部分及其功能,然后从“源-网-荷-储”四个方面阐述如何提高系统性能,研究发现基于优化算法的多能互补、需求响应以及储能等技术可以实现用能负荷削峰填谷,促进可再生能源消纳,从而降低建筑碳排放。最后,本文讨论了分布式能源系统在我国的发展现状以及未来发展趋势,总结出全面构建具有感知、诊断、预测和智能控制的数字孪生城市将成为未来城市的发展方向。









    Building energy consumption accounts for around 25% of China's annual energy consumption. Under the background of fully implementing the goal of " carbon peak and carbon neutrality", developing low-carbon buildings is a promising approach for the construction industry to realize the goal of "double carbon". Meanwhile, district energy, which can effectively improve the share of renewable energy in the energy mix, cut the energy cost and reduce environment impact, has received increased attention. Building a district energy system nearby existing buildings can effectively eliminate building carbon emissions and help achieve the goal of "double carbon". This paper reviews the efficient utilization of district energy in buildings. Firstly, it discusses the components and functions of the district energy systems, and then expounds how to improve the system performance from four perspectives: Source, Network, Load, and Storage. It was observed that the technologies of multi-energy complementary, demand response and energy storage based on optimization algorithms can be applied for peak shaving and promoting the share of renewable energy, thus reducing building carbon emissions. Finally, the study discussed the current status and future trends of district energy system in China. The paper concludes that a digital twin city which is capable of perception, diagnosis, prediction and intelligent control will be the direction future cities.
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