Outputs (2)

Performance Evaluation of an Energy-Efficient Oscillating Air-Conditioning Dehumidification System through Experimental Testing and Numerical Modelling (2025)
Journal Article
Yue, J., Zeng, C., Wang, Z., Lu, J., Qin, J., Shang, X., Liu, L., & Pei, Z. (online). Performance Evaluation of an Energy-Efficient Oscillating Air-Conditioning Dehumidification System through Experimental Testing and Numerical Modelling. Building services engineering research & technology : BSER & T, https://doi.org/10.1177/01436244251333135

This study examines the performance of a new oscillating air-conditioning dehumidification system, designed to overcome the limitations of traditional methods, such as energy-intensive defrost cycles and inconsistent dehumidification in high-humidity... Read More about Performance Evaluation of an Energy-Efficient Oscillating Air-Conditioning Dehumidification System through Experimental Testing and Numerical Modelling.

Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system (2025)
Journal Article
Wang, Z., Zeng, C., Zhu, Z., Li, Y., Ma, X., & Zhao, X. (online). Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system. Building services engineering research & technology : BSER & T, https://doi.org/10.1177/01436244251315047

As data centres become integral to modern infrastructure, their energy consumption, particularly in cooling systems, presents a critical challenge for sustainability. This paper addresses this issue by applying time-series machine learning models to... Read More about Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system.