Teaching building towards carbon neutrality: Power matching and economy of source-grid-load-storage system

Yecong He, Jie Sun, Qi Deng, Xiaofeng Zhang, Huaican Liu, Ke Wen and Jifei Zhou

Renewable Energy, 2023, vol. 218, issue C

Abstract: Air Conditioning is one of the largest uses of energy used in building operations. The combination of photovoltaic power generation and building air-conditioning is one of the important ways to realize building energy savings and emission reduction. In this context, this study uses two software, Design Builder and TRNSYS, to build college teaching buildings and equip them with centralized air conditioning systems and Photovoltaic storage (PV-storage) systems, aiming to explore the electric characteristics of college teaching buildings and the economy of PV-storage system under 36 scenarios. It provides a theoretical reference for the integrated application of centralized air conditioning “PV-storage” in teaching buildings of colleges and universities. The main results show that the system has a strong ability to match the power load, and its solar fraction is between 0.85 and 1.00. The system's payback period (PBP) is short, and the net present value (NPV) is large. Its PBP is 6.09–6.38 years, and the NPV is 2809.47–3017.04 thousand yuan. This teaching building system has a good economy while realizing energy saving and emission reduction through a simulation case study, which shows high potential for applications. In addition, in summer, reducing attendance, reducing classroom utilization (in the semester), and not setting up night self-study can reduce electricity consumption. In winter, increasing attendance, reducing classroom utilization (in the semester), and setting up night self-study can reduce electricity consumption.

Keywords: Photovoltaic power generation; Air conditioning system; Storage battery; Economic analysis; Electric characteristics; Teaching building (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:218:y:2023:i:c:s0960148123011795

DOI: 10.1016/j.renene.2023.119264

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