Evidence map›Paper›PMID 39702470›Full record

ArticleScientific data2024

A twenty-year dataset of hourly energy generation and consumption from district campus building energy systems.

Wei Liao, Xiaoyu Jin, Yi Ran, Fu Xiao, Weijun Gao, Yanxue Li

Abstract read
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wei LiaoDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Xiaoyu JinDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Yi RanInnovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, China.
Fu XiaoDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. linda.xiao@polyu.edu.hk.
Weijun GaoFaculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan.ORCID http://orcid.org/0000-0003-0299-3686
Yanxue LiInnovation Institute for Sustainable Maritime Architecture Research and Technology, Qingdao University of Technology, Qingdao, China. liyanxue@qut.edu.cn.ORCID http://orcid.org/0000-0002-9794-1610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39702470
PMCPMC11659301

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.