Low Energy Dew Point Cooling for Computing Data Centres

A comprehensive review on the application of nanofluid in heat pipe based on the machine learning: Theory, application and prediction (2021)
Journal Article
Wang, X., Luo, L., Xiang, J., Zheng, S., Shittu, S., Wang, Z., & Zhao, X. (2021). A comprehensive review on the application of nanofluid in heat pipe based on the machine learning: Theory, application and prediction. Renewable & sustainable energy reviews, 150, Article 111434. https://doi.org/10.1016/j.rser.2021.111434

This paper introduces three paramount factors i.e. viscosity, thermal conductivity and stability that affect the application of mono and hybrid nanofluids in heat pipes. The applications of nanofluids in various types of heat pipes are reviewed and t... Read More about A comprehensive review on the application of nanofluid in heat pipe based on the machine learning: Theory, application and prediction.

Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study (2021)
Journal Article
Wang, Z., Zhao, X., Han, Z., Luo, L., Xiang, J., Zheng, S., Liu, G., Yu, M., Cui, Y., Shittu, S., & Hu, M. (2021). Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study. Applied energy, 294, Article 116969. https://doi.org/10.1016/j.apenergy.2021.116969

A heat pipe (HP) is a passive heat transfer device able to transmit heat a few meters or several hundred meters away from the heat source without use of external energy. This paper presents a critical review of the HP technologies. It is found that t... Read More about Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology – A review and prospective study.

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.2020.116062

The 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.2020.112772

This 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.2019.109406

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 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.2019.05.213

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 about A statistical model for dew point air cooler based on the multiple polynomial regression approach.