Study on the Energy Consumption Characteristics and the Self-Sufficiency Rate of Rooftop Photovoltaic of University Campus Buildings

Author:

Gao Lizhen1,Wang Shidong2,Mao Mingqiang2,Liu Chunhui2,Li Tao3ORCID

Affiliation:

1. Lanzhou Heating Power Group Co., Ltd., Lanzhou 730020, China

2. Gansu Institute of Architectural Design and Research Co., Ltd., Lanzhou 730000, China

3. School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China

Abstract

Campus buildings often face issues with high energy consumption, low efficiency, and significant carbon emissions, making the creation of a green, low-carbon campus urgent. Utilizing solar photovoltaics on rooftops can provide an effective power solution to address high energy consumption. This study focuses on a university campus, employing the DeST energy consumption simulation software to model the HVAC systems, electrical devices, and hot water loads of five typical buildings. It combines this with calculations of available rooftop areas to assess the potential for rooftop solar photovoltaics. The results confirm varying annual electricity consumption among the different buildings, which directly correlates with building size and operational schedules. Among the five building types, sports facilities and academic buildings have relatively high rooftop photovoltaic self-sufficiency rates, exceeding 60%, while the library has the lowest, under 20%. The entire university campus has an annual rooftop photovoltaic self-sufficiency rate of 35%, significantly addressing the issue of high energy consumption in university campuses. This research provides a theoretical basis for implementing rooftop photovoltaic systems to achieve campus energy savings.

Funder

Young Talents Project of Science and Technology Research Program of the Hubei Education Department

Publisher

MDPI AG

Reference29 articles.

1. A Monitoring Data Based Bottom-up Modeling Method and Its Application for Energy Consumption Prediction of Campus Building;Zhao;J. Build. Eng.,2020

2. Ministry Of Ecology and Environment the People’s Republic of China (2024, June 26). Education Statistics for 2022, Available online: http://www.moe.gov.cn/jyb_sjzl/moe_560/2022/.

3. Benchmarking Energy Consumption in Universities: A Review;Quevedo;J. Build. Eng.,2024

4. Energy Use Characteristics and Benchmarking for Higher Education Buildings;Khoshbakht;Energy Build.,2018

5. Energy Consumption in Schools—A Review Paper;Raimondo;Renew. Sustain. Energy Rev.,2014

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