IN-24-C036 - Investigation on VRF System Operation Performance in Commercial Buildings Based on Large-Scale Dataset

Cooling energy consumption has become a pivotal issue in the pursuit of sustainable and energy-efficient operation within commercial buildings. With the swift progression of big data technology, access to operational data from cooling systems in these buildings is expanding. This surge in data availability coincides with an increased implementation of Variable Refrigerant Flow (VRF) systems, prompting this study to explore their real-world energy efficiency. Our research delves into the cooling energy demands, operational modes, and other vital performance indicators of VRF systems, aiming to shed light on their actual energy utilization in contemporary building practices. We introduce a comprehensive performance analysis framework that encompasses data collection and purification, examination of key performance metrics, and a detailed comparative analysis against alternative cooling systems. The study includes the gathering and cleaning of operational data from 7,925 VRF units across China, with a focus on crucial performance metrics such as duration of use, cooling load, system load ratio, and energy efficiency. Additionally, the research offers comparisons with residential VRF and water-cooling systems in commercial settings, providing a broad perspective on the HVAC systems' performance in China. The outcomes of this investigation are expected to significantly enhance the selection and management of HVAC systems in commercial buildings, guiding stakeholders toward more informed decisions. Ultimately, this could pave the way for notable energy savings and enhanced operational efficiency through strategic, data-driven approaches.