A simulation approach for the optimization of distributed energy supply systems based on multiple energy indicators in commercial districts.
A simulation approach for the optimization of distributed energy supply systems based on multiple energy indicators in commercial districts.
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DOI：
10.26868/25222708.2021.30249
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发表时间：
2021-09
期刊：
影响因子：
--
通讯作者：
T. Ueno
中科院分区：
文献类型：
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作者：
T. Ueno
由于可再生能源的普及，城市能源供应系统正在向分布式能源供应系统（DESS）转变。本文讨论了基于一次能源消耗（PEC）、生命周期CO 2 排放（LCE）和电力供需标准差（SDP）三个年度能源指标的商业区DESS优化布局的模拟研究。我们评估了四个具有不同建筑特征的商业区的 DESS 性能，并确认针对每个能源指数进行特定设置的 DESS 可将 PEC 降低 25% 以上，将 SDP 降低 90% 以上。另一方面，一些模拟结果使LCE提高了几个百分点到几十个百分点。对DESS CO 2 排放细目的检查表明，来自CHP 的气体占DESS 中CO 2 排放量的一半以上。进一步的调查还表明，除非发电和排热完全符合目标建筑物的电力和热量需求，否则冷却季节晴朗天气下的热电联产无法降低LCE。
Urban energy supply systems are changing to distributed energy supply systems (DESS) due to the spread of renewable energy. This paper discusses a simulation study for the optimal layout of DESS in commercial districts based on three annual energy indicators: the primary energy consumption (PEC), the life cycle CO 2 emissions (LCE), and the standard deviation of power supply and demand (SDP). We evaluated the DESS performance in four commercial districts with different characteristics of located buildings, and confirmed that the DESS with settings specific to each energy index reduced PEC by more than 25% and SDP by more than 90%. On the other hand, some simulation results increased LCE by several percent to several tens of percent. The examination for breakdowns of the CO 2 emissions DESS clarified that gas from CHP accounted for more than half of the CO 2 emissions in DESS. Further investigations also indicated that CHP in fine weather during the cooling season could not reduce LCE unless the power generation and exhaust heat matched exactly the power and heat demands of the target buildings.