Liao Wei, Jin Xiaoyu, Ran Yi, Xiao Fu, Gao Weijun, Li Yanxue
Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Innovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, China.
Sci Data. 2024 Dec 19;11(1):1400. doi: 10.1038/s41597-024-04244-6.
Distributed energy resources (DERs) would play a crucial role in the transition towards decentralized and decarbonized energy systems. However, due to the limited availability of long-term, high-resolution datasets, there has been little research on the descriptive analysis of distributed energy systems throughout the lifespan of distributed power generators and beyond. To address this challenge, this study has collected and described a twenty-year dataset (from 2002 to 2021) consisting of hourly energy generation and consumption profiles from a campus distributed energy system, covering the entire lifespan of on-site generators. The dataset includes supply-side data such as gas consumption from combined heating and power (CHP) units (fuel cell, gas engine), absorption chiller, gas boiler, solar photovoltaic generation, CHPs output, and grid electricity import. Additionally, real-life electricity, hot water, space heating, and cooling energy load profiles from individual buildings within the campus were also collected. This long-term dataset can be utilized in various scenarios, providing researchers and policymakers with comprehensive insights into the energy efficiency of distributed energy systems.
分布式能源资源（DERs）在向分散式和脱碳能源系统的转型中将发挥关键作用。然而，由于长期高分辨率数据集的可用性有限，对于分布式能源系统在分布式发电机的整个寿命周期及之后的描述性分析研究较少。为应对这一挑战，本研究收集并描述了一个为期二十年的数据集（从2002年到2021年），该数据集由一个校园分布式能源系统的每小时发电量和用电量曲线组成，涵盖了现场发电机的整个寿命周期。该数据集包括供应侧数据，如热电联产（CHP）机组（燃料电池、燃气发动机）的燃气消耗、吸收式制冷机、燃气锅炉、太阳能光伏发电、热电联产输出以及电网电力进口。此外，还收集了校园内各建筑物的实际电力、热水、空间供暖和制冷能源负荷曲线。这个长期数据集可用于各种场景，为研究人员和政策制定者提供关于分布式能源系统能源效率的全面见解。
