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
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.
Statistical investigation of a dehumidification system performance using Gaussian process regression (2019)
Journal Article
Akhlaghi, Y. G., Zhao, X., Shittu, S., Badiei, A., Cattaneo, M. E., & Ma, X. (2019). Statistical investigation of a dehumidification system performance using Gaussian process regression. Energy and Buildings, 202, 109406. https://doi.org/10.1016/j.enbuild.2019.109406Swift performance assessment of dehumidification systems, in design stage and while operation of the system is of substantial importance for commercialization and wide implementation of this technology. This paper presents a novel statistical model,... Read More about Statistical investigation of a dehumidification system performance using Gaussian process regression.
A statistical model for dew point air cooler based on the multiple polynomial regression approach (2019)
Journal Article
Akhlaghi, Y. G., Ma, X., Zhao, X., Shittu, S., & Li, J. (2019). A statistical model for dew point air cooler based on the multiple polynomial regression approach. Energy, 181, 868-881. https://doi.org/10.1016/j.energy.2019.05.213Swift assessment of evaporative cooling systems has become a necessity in practical engineering applications of this advanced technology. This paper bypasses details of the performance process and pioneers in developing a statistical model based on t... Read More about A statistical model for dew point air cooler based on the multiple polynomial regression approach.