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Outputs (16)

Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system (2025)
Journal Article
Wang, Z., Zeng, C., Zhu, Z., Li, Y., Ma, X., & Zhao, X. (online). Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system. Building services engineering research & technology : BSER & T, https://doi.org/10.1177/01436244251315047

As data centres become integral to modern infrastructure, their energy consumption, particularly in cooling systems, presents a critical challenge for sustainability. This paper addresses this issue by applying time-series machine learning models to... Read More about Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system.

The Acceptance and Use of Islamic Financial Technology (Islamic FinTech): Saudi Banks' Perspective (2024)
Thesis
Alghamdi, S. (2024). The Acceptance and Use of Islamic Financial Technology (Islamic FinTech): Saudi Banks' Perspective. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5088207

This research seeks to establish a Saudi bank's perspective concerning the Acceptance and Use of Islamic Financial Technology (Islamic FinTech). This study aimed to evaluate models of acceptance and use and provide reasons for integrating them into s... Read More about The Acceptance and Use of Islamic Financial Technology (Islamic FinTech): Saudi Banks' Perspective.

Investigation of a Novel Thermochemical Reactor for Medium- and Low-Temperature Heating Applications in Buildings (2024)
Journal Article
Han, X., Zeng, C., Zhu, Z., Sun, Y., & Zhao, X. (2024). Investigation of a Novel Thermochemical Reactor for Medium- and Low-Temperature Heating Applications in Buildings. Buildings, 14(10), Article 3192. https://doi.org/10.3390/buildings14103192

This research paper investigates a novel triangular honeycomb thermochemical energy storage reactor for low- and medium-temperature applications in buildings, emphasizing its potential to enhance sustainable heating. Using a validated 3D numerical mo... Read More about Investigation of a Novel Thermochemical Reactor for Medium- and Low-Temperature Heating Applications in Buildings.

A Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time Predictive Energy Modelling (2024)
Thesis
Qin, P. A Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time Predictive Energy Modelling. (Thesis). university of hull. https://hull-repository.worktribe.com/output/5077634

The rapid urbanisation and growing awareness of sustainable development have led to the emergence of eco-districts as a potential solution for creating sustainable urban environments. However, existing eco-district evaluation systems and design appro... Read More about A Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time Predictive Energy Modelling.

Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time PredicDve Energy Modelling (2024)
Thesis
Qin, P. (2024). Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time PredicDve Energy Modelling. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/5088255

The rapid urbanisation and growing awareness of sustainable development have led to the emergence of eco-districts as a potential solution for creating sustainable urban environments. However, existing eco-district evaluation systems and design appro... Read More about Data-Driven Design Approach for Eco-Districts with Early-Stage Real-Time PredicDve Energy Modelling.

Real life test of a novel super performance dew point cooling system in operational live data centre (2023)
Journal Article
Ma, X., Zeng, C., Zhu, Z., Zhao, X., Xiao, X., Akhlaghi, Y. G., & Shittu, S. (2023). Real life test of a novel super performance dew point cooling system in operational live data centre. Applied energy, 348, Article 121483. https://doi.org/10.1016/j.apenergy.2023.121483

This paper presents the development and application of a super performance dew point cooling technology for data centres. The novel super performance dew point cooler showed considerably improved energy saving and carbon reduction for data centre coo... Read More about Real life test of a novel super performance dew point cooling system in operational live data centre.

Energy Schedule Setting Based on Clustering Algorithm and Pattern Recognition for Non-Residential Buildings Electricity Energy Consumption (2023)
Journal Article
Cui, Y., Zhu, Z., Zhao, X., & Li, Z. (2023). Energy Schedule Setting Based on Clustering Algorithm and Pattern Recognition for Non-Residential Buildings Electricity Energy Consumption. Sustainability, 15(11), Article 8750. https://doi.org/10.3390/su15118750

Building energy modelling (BEM) is crucial for achieving energy conservation in buildings, but occupant energy-related behaviour is often oversimplified in traditional engineering simulation methods and thus causes a significant deviation between ene... Read More about Energy Schedule Setting Based on Clustering Algorithm and Pattern Recognition for Non-Residential Buildings Electricity Energy Consumption.

China's green data center development:Policies and carbon reduction technology path (2023)
Journal Article
Li, G., Sun, Z., Wang, Q., Wang, S., Huang, K., Zhao, N., Di, Y., Zhao, X., & Zhu, Z. (2023). China's green data center development:Policies and carbon reduction technology path. Environmental Research, 231, Article 116248. https://doi.org/10.1016/j.envres.2023.116248

Data center is a very important infrastructure to support the development of information technology, and its development and increment are very remarkable. However, with the rapid and large-scale development of data centers, the problem of energy con... Read More about China's green data center development:Policies and carbon reduction technology path.

Bayesian Calibration for Office-Building Heating and Cooling Energy Prediction Model (2022)
Journal Article
Cui, Y., Zhu, Z., Zhao, X., Li, Z., & Qin, P. (2022). Bayesian Calibration for Office-Building Heating and Cooling Energy Prediction Model. Buildings, 12(7), Article 1052. https://doi.org/10.3390/buildings12071052

Conventional building energy models (BEM) for heating and cooling energy-consumption prediction without calibration are not accurate, and the commonly used manual calibration method requires the high expertise of modelers. Bayesian calibration (BC) i... Read More about Bayesian Calibration for Office-Building Heating and Cooling Energy Prediction Model.

Theoretical and experimental study of a novel solar indirect-expansion heat pump system employing mini channel PV/T and thermal panels (2019)
Journal Article
Zhou, J., Zhu, Z., Zhao, X., Yuan, Y., Fan, Y., & Myers, S. (2020). Theoretical and experimental study of a novel solar indirect-expansion heat pump system employing mini channel PV/T and thermal panels. Renewable energy, 151, 674-686. https://doi.org/10.1016/j.renene.2019.11.054

This paper presents the investigation of a novel mini channel PV/T and thermal collectors combined heat pump system, using both experimental and theoretical methods. Data were produced under conditions typical for winter days in Lvliang, China. A sim... Read More about Theoretical and experimental study of a novel solar indirect-expansion heat pump system employing mini channel PV/T and thermal panels.