A review of resistance–capacitance thermal network model in urban building energy simulations

J Yang, H Wang, L Cheng, Z Gao, F Xu - Energy and Buildings, 2024 - Elsevier
With the increasing population and urbanization promotion, energy consumption and carbon
emissions have increased, and concern for inefficient energy use and deteriorating urban …

Modeling Variable Refrigerant Flow (VRF) systems in building applications: A comprehensive review

J Wang, X Lu, V Adetola, E Louie - Energy and Buildings, 2024 - Elsevier
Abstract Variable Refrigerant Flow (VRF) systems have gained recognition for being energy-
efficient and adaptable for use in heating, ventilation, and air conditioning (HVAC) …

An artificial intelligence (AI)-driven method for forecasting cooling and heating loads in office buildings by integrating building thermal load characteristics

J Zhao, X Yuan, Y Duan, H Li, D Liu - Journal of Building Engineering, 2023 - Elsevier
Due to the thermal inertia of building envelope and random uncertainty of occupant
behaviors, real-time and accurate forecasting for building cooling and heating loads is not …

Dynamic performance analysis and thermal modelling of a novel two-phase spray cooled rack system for data center cooling

P Liu, R Kandasamy, JY Ho, TN Wong, KC Toh - Energy, 2023 - Elsevier
Cooling systems in information technology (IT) equipment account for the greatest share of
direct energy consumption in data centers. Conventional air-cooling schemes are thermally …

Imbalanced data-oriented model learning method for ultra-short-term air conditioning load prediction

Z Tian, X Lin, Y Lu, W Song, J Niu - Energy and Buildings, 2023 - Elsevier
Accurate ultra-short-term air conditioning (AC) load prediction is essential for the optimal
control of split air conditioners. However, the distribution of the AC load from different …

Analysis of precooling optimization for residential buildings

J Wang, CY Tang, L Song - Applied Energy, 2022 - Elsevier
To reduce peak demand and/or energy cost for residential buildings, optimal precooling
strategies are becoming important as an alternative to rule-based precooling strategies that …

Power consumption prediction of variable refrigerant flow system through data-physics hybrid approach: An online prediction test in office building

B Yue, Z Wei, C Zheng, Y Ding, B Li, D Li, X Liang… - Energy, 2023 - Elsevier
Variable refrigerant flow (VRF) system contains numerous sensors and has the advance for
fast response, which is suitable for building demand response (DR) management. Fast and …

Comparing economic benefits of HVAC control strategies in grid-interactive residential buildings

B Woo-Shem, K Pattawi, H Covington, P McCurdy… - Energy and …, 2023 - Elsevier
Energy consumption in buildings continues to rise with increased deployment of energy-
consuming equipment such as Heating, Ventilation, and Air Conditioning (HVAC) amid a …

Study on key factors affecting the high-order building model order reduction for model predictive control application

Q Chen, N Li - Energy and Buildings, 2023 - Elsevier
The reduced-order model (ROM) can highly reduce computation costs while maintaining
high high-fidelity performance for model predictive control's application by applying the …

Data-driven two-step identification of building thermal characteristics: A case study of office building

Z Wei, F Ren, Y Zhu, B Yue, Y Ding, C Zheng, B Li… - Applied Energy, 2022 - Elsevier
Thermal characteristics of building affect the energy consumption of air conditioning systems
directly. Reverse grey box model is widely used for the identification of thermal …