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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 ; Assoc. Professor (Senior Lecturer) in Chemical Engineering ; PI of the B3: Biomass Waste- BioenergH2- Biochars Challenge Group of PGRs and PDRAs

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.