A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems
Abstract 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 e...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04244-6 |
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| author | Wei Liao Xiaoyu Jin Yi Ran Fu Xiao Weijun Gao Yanxue Li |
| author_facet | Wei Liao Xiaoyu Jin Yi Ran Fu Xiao Weijun Gao Yanxue Li |
| author_sort | Wei Liao |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-38d45e3442a14b68abc7a63cac4af8b3 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-38d45e3442a14b68abc7a63cac4af8b32025-08-20T02:31:37ZengNature PortfolioScientific Data2052-44632024-12-0111111010.1038/s41597-024-04244-6A twenty-year dataset of hourly energy generation and consumption from district campus building energy systemsWei Liao0Xiaoyu Jin1Yi Ran2Fu Xiao3Weijun Gao4Yanxue Li5Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic UniversityDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic UniversityInnovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of TechnologyDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic UniversityFaculty of Environmental Engineering, The University of KitakyushuInnovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of TechnologyAbstract 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.https://doi.org/10.1038/s41597-024-04244-6 |
| spellingShingle | Wei Liao Xiaoyu Jin Yi Ran Fu Xiao Weijun Gao Yanxue Li A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems Scientific Data |
| title | A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems |
| title_full | A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems |
| title_fullStr | A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems |
| title_full_unstemmed | A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems |
| title_short | A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems |
| title_sort | twenty year dataset of hourly energy generation and consumption from district campus building energy systems |
| url | https://doi.org/10.1038/s41597-024-04244-6 |
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