University of Hull logo

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, 109406. https://doi.org/10.1016/j.enbuild.2019.109406

Swift 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

A Novel Mathematical Model of the Solar Assisted Dehumidification and Regeneration Systems (2019)
Conference Proceeding
Badiei, A., Golizadeh Akhlaghi, Y., & Zhao, X. (in press). A Novel Mathematical Model of the Solar Assisted Dehumidification and Regeneration Systems

This paper introduces a state-of-the-art modelling technique to investigate the performance of solar assisted dehumidification and regeneration cycles. The dehumidification/regeneration system investigated in this study employs a solid adsorbent bed... Read More

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.2019.05.213

Swift 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