Professor Xudong Zhao Xudong.Zhao@hull.ac.uk
Professor of Engineering/ Director of Research
Low Energy Dew Point Cooling for Computing Data Centres
People Involved
Mr Nathaniel Brown
Professor James Gilbert J.M.Gilbert@hull.ac.uk
Professor of Engineering
Dr Kevin Fancey K.S.Fancey@hull.ac.uk
Senior Lecturer
Dr Vicky Skoulou V.Skoulou@hull.ac.uk
Graduate Research Director (GRD) of School of Engineering ; Assoc. Professor (Senior Lecturer) in Chemical Engineering ; PI of the B3: Biomass Waste- BioenergH2- Biochars Challenge Group of PGRs and PDRAs
Experimental investigation of a novel vertical loop-heat-pipe PV/T heat and power system under different height differences (2022)
Journal Article
Yu, M., Chen, F., Zhou, J., Yuan, Y., Fan, Y., Li, G., Zhao, X., Wang, Z., Li, J., & Zheng, S. (2022). Experimental investigation of a novel vertical loop-heat-pipe PV/T heat and power system under different height differences. Energy, 254, Part A, Article 124193. https://doi.org/10.1016/j.energy.2022.124193For a novel vertical solar loop-heat-pipe photovoltaic/thermal system, the height difference between evaporator and condenser plays an important role in the heat transport capacity, which has significant impact on the solar thermal efficiency and par... Read More about Experimental investigation of a novel vertical loop-heat-pipe PV/T heat and power system under different height differences.
Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050 (2020)
Journal Article
Golizadeh Akhlaghi, Y., Aslansefat, K., Zhao, X., Sadati, S., Badiei, A., Xiao, X., Shittu, S., Fan, Y., & Ma, X. (2021). Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050. Applied energy, 281, Article 116062. https://doi.org/10.1016/j.apenergy.2020.116062The empirical success of the Artificial Intelligence (AI), has enhanced importance of the transparency in black box Machine Learning (ML) models. This study pioneers in developing an explainable and interpretable Deep Neural Network (DNN) model for a... Read More about Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050.
A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins (2020)
Journal Article
Golizadeh Akhlaghi, Y., Badiei, A., Zhao, X., Aslansefat, K., Xiao, X., Shittu, S., & Ma, X. (2020). A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins. Energy Conversion and Management, 211, Article 112772. https://doi.org/10.1016/j.enconman.2020.112772This study is pioneered in developing digital twins using Feed-forward Neural Network (FFNN) and multi objective evolutionary optimization (MOEO) using Genetic Algorithm (GA) for a counter-flow Dew Point Cooler with a novel Guideless Irregular Heat a... Read More about A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins.
Analytical investigation of the heat-transfer limits of a novel solar loop-heat pipe employing a mini-channel evaporator (2018)
Journal Article
Diallo, T. M., Yu, M., Zhou, J., Zhao, X., Ji, J., & Hardy, D. (2018). Analytical investigation of the heat-transfer limits of a novel solar loop-heat pipe employing a mini-channel evaporator. Energies, 11(1), Article 148. https://doi.org/10.3390/en11010148© 2018 by the authors. This paper presents an analytical investigation of heat-transfer limits of a novel solar loop-heat pipe developed for space heating and domestic hot water use. In the loop-heat pipe, the condensate liquid returns to the evapora... Read More about Analytical investigation of the heat-transfer limits of a novel solar loop-heat pipe employing a mini-channel evaporator.