An energy planning oriented method for analyzing spatial-temporal characteristics of electric loads for heating/cooling in district buildings with a case study of one university campus

Article

Chen, S., Zhang, X., Wei, S., Yang, T., Guan, J., Yang, W., Qu, L. and Xu, Y. 2019. An energy planning oriented method for analyzing spatial-temporal characteristics of electric loads for heating/cooling in district buildings with a case study of one university campus. Sustainable Cities and Society. 51. https://doi.org/10.1016/j.scs.2019.101629
TypeArticle
TitleAn energy planning oriented method for analyzing spatial-temporal characteristics of electric loads for heating/cooling in district buildings with a case study of one university campus
AuthorsChen, S., Zhang, X., Wei, S., Yang, T., Guan, J., Yang, W., Qu, L. and Xu, Y.
Abstract

Highlights
A method to analyze spatial-temporal characteristics of district loads was developed. PCA was used to identify the buildings greatly affecting district load management. The features of electric loads of heating on a university campus were analyzed. Building type and operation mode greatly affect the load level and volatility.
Abstract
Accurate grasp of district power demand is of great significance to both sizing of district power supply and its operation optimization. In this study, an index system has been established and visualized through a Geographic Information System, for revealing both temporal and spatial characteristics of district power loads caused by heating/cooling systems, including load level and fluctuation characteristics, spatial distribution of electric loads, and load coupling relationships between individual buildings and the district. Principal component analysis was applied to identify the buildings with significant impact on district load management. Using this method, the spatial-temporal characteristics of electric loads caused by heating in one university campus in China were analyzed. The results showed that building type and the operation modes had great effects on the level and volatility of the district electric load caused by heating. Buildings with high load levels and strong coupling with the peak district electric load, such as academic buildings, often had a major impact on the power demand of the district. Therefore, they were considered as key targets for energy-saving renovation and operation optimization. Buildings with large load fluctuation, such as teaching buildings, could contribute to the peak load shaving by adjusting the heating systems’ operation.

KeywordsDistrict electric load for heating and cooling; Spatial-temporal characteristics; Load coupling; Campus buildings; GIS
PublisherElsevier
JournalSustainable Cities and Society
ISSN2210-6707
Electronic2210-6715
Publication dates
Online05 Jul 2019
Print01 Nov 2019
Publication process dates
Submitted27 Sep 2018
Accepted24 May 2019
Deposited27 Aug 2019
Output statusPublished
Publisher's version
File Access Level
Open
Accepted author manuscript
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Copyright Statement

© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

Digital Object Identifier (DOI)https://doi.org/10.1016/j.scs.2019.101629
Web of Science identifierWOS:000493744700002
LanguageEnglish
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