Low Energy Dew Point Cooling for Computing Data Centres

Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review (2022)
Journal Article
Argyropoulos, C. D., Skoulou, V., Efthimiou, G., & Michopoulos, A. K. (2022). Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review. Air Quality, Atmosphere and Health, https://doi.org/10.1007/s11869-022-01286-w

The nature and airborne dispersion of the underestimated biological agents, monitoring, analysis and transmission among the human occupants into building environment is a major challenge of today. Those agents play a crucial role in ensuring comforta... Read More about Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review.

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., …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.2022.124193

For 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.

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., …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.

Experimental and numerical investigation of a novel photovoltaic/thermal system using micro-channel flat loop heat pipe (PV/T-MCFLHP) (2020)
Journal Article
Chen, F., Hu, M., Badiei, A., Yu, M., Huang, Z., Wang, Z., & Zhao, X. (2020). Experimental and numerical investigation of a novel photovoltaic/thermal system using micro-channel flat loop heat pipe (PV/T-MCFLHP). International journal of low carbon technologies, 15(4), 513-527. https://doi.org/10.1093/ijlct/ctaa019

© 2020 The Author(s). Published by Oxford University Press. All rights reserved. In this paper, a novel photovoltaic/thermal system using micro-channel flat loop heat pipe (PV/T-MCFLHP) is proposed, and the thermal and electrical performance of the s... Read More about Experimental and numerical investigation of a novel photovoltaic/thermal system using micro-channel flat loop heat pipe (PV/T-MCFLHP).

Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems? (2020)
Journal Article
Badiei, A., Akhlaghi, Y. G., Zhao, X., Li, J., Yi, F., & Wang, Z. (2020). Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?. Energy Conversion and Management, 213, Article 112886. https://doi.org/10.1016/j.enconman.2020.112886

This paper presents a whole building energy modelling work incorporating a state-of-the-art indirect evaporative cooling system. The model is calibrated and validated with real-life empirical data, and is capable of representing actual performance of... Read More about Can whole building energy models outperform numerical models, when forecasting performance of indirect evaporative cooling systems?.

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.

Operational performance of a novel fast-responsive heat storage/exchanging unit (HSEU) for solar heating systems (2019)
Journal Article
Fan, Y., Zhao, X., Li, J., Cheng, Y., Zhou, J., Yu, M., Li, G., Badiei, A., Du, Z., Ji, J., Zhu, Z., Ma, X., Bai, H., & Myers, S. (2020). Operational performance of a novel fast-responsive heat storage/exchanging unit (HSEU) for solar heating systems. Renewable energy, 151, 137-151. https://doi.org/10.1016/j.renene.2019.11.007

In order for a solar heating system to provide heat immediately after sunrise, a fast response is needed to the heat demand of a serviced space. The majority of existing solar heating systems have a slow response time due to the large volume of water... Read More about Operational performance of a novel fast-responsive heat storage/exchanging unit (HSEU) for solar heating systems.

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.