研究领域

高效传热传质，综合热/能量管理，大数据智能设计

论文与著作

• Guangya Zhu, Tao Wen, Dalin Zhang. Machine learning based approach for the prediction of flow boiling/condensation heat transfer performance in mini channels with serrated fins. International Journal of Heat and Mass Transfer 166 (2021) 120783.

• Guangya Zhu, T.T. Chow, K.F. Fong, C.K. Lee. Comparative study on humidified gas turbine cycles with different air saturator designs. Applied Energy 254 (2019) 113592.

• Guangya Zhu, T.T. Chow. Design optimization and two-stage control strategy on combined cooling, heating and power system. Energy Conversion and Management 199 (2019) 111869.

• Guangya Zhu, T.T. Chow, K.F. Fong, C. K. Lee, X.J. Luo. Design optimisation and performance appraisal of a combined cooling, heating and power system primed with Maisotsenko combustion turbine cycle. Energy Conversion and Management 177(1) (2018) 91-106. 

• Guangya Zhu, Tin-Tai Chow, Norman Tse. Short-term load forecasting coupled with weather profile generation methodology. Building Services Engineering Research and Technology 39 (3) (2018) 310-327.

• Guangya Zhu, Tin-Tai Chow, C.K. Lee. Performance analysis of counter-flow regenerative heat and mass exchanger for indirect evaporative cooling based on data-driven method. Energy and Buildings 155 (2017) 503-512. 

• Guangya Zhu, Tin-Tai Chow. Numerical study on Finned Latent Heat Storage for Tri-generation System, International Conference on Energy, Environment and Economics, 14-16 August 2018, Edinburg (UK).

• Guangya Zhu, Tin-Tai Chow, Fong Kwong Fai, C.K. Lee. Investigation on Humidified Gas Turbine Cycles with Maisotsenko-Cycle-Based Air Saturator, International Conference on Applied Energy 22-25 August 2018, Hong Kong (China). 

• Tin-Tai Chow, Guangya Zhu, C.K. Lee. System optimization of innovative tri-generation system for distributed power application, 13th REHVA World Congress CLIMA2019, 26-29 May 2019 Bucharest (Romania). 

荣誉与奖励