A Study on the Energy Saving Potential of Adaptive Temperature Control of a VRF System in an Office Building in Guangzhou
- DOI
- 10.2991/978-94-6463-728-1_54How to use a DOI?
- Keywords
- Variable Refrigerant Flow System; Adaptive temperature control; Energy saving
- Abstract
Under traditional VRF system control, room air temperature is maintained through multiple levels fan speeds (either user-specified or automatic), and regulating the opening of the electronic expansion valve based on the temperature difference between return air and the indoor setpoint temperature. This approach often requires a very low evaporating temperature, leading to energy wastage. Moreover, in regions like Guangzhou with hot summers and mild winters, keeping indoor temperatures excessively low during cooling seasons further increases energy consumption. To address these issues, this study proposes an adaptive control strategy for VRF systems based on automatically reset the supply air temperature, evaporating temperature, condensing temperature, and indoor temperature setpoints. Through a case study of an office building in Guangzhou, it demonstrates that the adaptive control leads to an energy savings of 34.74% compared to the existing control method.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuan Gao AU - Haisong Zhang AU - Yaolin Lin PY - 2025 DA - 2025/05/19 TI - A Study on the Energy Saving Potential of Adaptive Temperature Control of a VRF System in an Office Building in Guangzhou BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 564 EP - 576 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_54 DO - 10.2991/978-94-6463-728-1_54 ID - Gao2025 ER -