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Low Energy Dew Point Cooling for Computing Data Centres

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Mr Nathaniel Brown

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Dr Vicky Skoulou V.Skoulou@hull.ac.uk
Graduate Research Director (GRD) of School of Engineering and Technology ; Assoc. Professor (Senior Lecturer) in Engineering (Chemical Engineering) ; PI of the B3: Biomass Waste- BioenergH2- Biochars Challenge Group of PGRs and PDRAs

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., Zhao, X., Wang, Z., Li, J., & 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., 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.

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?.