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
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.