All Outputs (6)

Eco-economic performance and application potential of a novel dual-source heat pump heating system (2023)
Journal Article
Li, Y., Cui, Y., Song, Z., Zhao, X., Li, J., & Shen, C. (2023). Eco-economic performance and application potential of a novel dual-source heat pump heating system. Energy, 283, Article 128478. https://doi.org/10.1016/j.energy.2023.128478

Decarbonization of building heating is the key to carbon neutrality. Heat pumps have great potential to replace non-renewable heating devices, thus creating economic and renewable heating systems. To overcome the application challenges of conventiona... Read More about Eco-economic performance and application potential of a novel dual-source heat pump heating system.

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.

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.

Experimental investigation and annual performance mathematical-prediction on a novel LT-PV/T system using spiral-descent concentric copper tube heat exchanger as the condenser for large-scale application (2022)
Journal Article
Li, Z., Ji, J., Li, J., Zhao, X., Cui, Y., Song, Z., Wen, X., & Yao, T. T. (2022). Experimental investigation and annual performance mathematical-prediction on a novel LT-PV/T system using spiral-descent concentric copper tube heat exchanger as the condenser for large-scale application. Renewable energy, 187, 257-270. https://doi.org/10.1016/j.renene.2022.01.079

The condensers of loop thermosyphon PV/T systems (LT-PV/T) are usually integrated inside water tanks, which may bring some challenges during combination use. This research innovatively proposed a concentric copper tube heat exchanger as the condenser... Read More about Experimental investigation and annual performance mathematical-prediction on a novel LT-PV/T system using spiral-descent concentric copper tube heat exchanger as the condenser for large-scale application.

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.

Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux (2020)
Journal Article
Shittu, S., Li, G., Xuan, Q., Zhao, X., Ma, X., & Cui, Y. (2020). Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux. Energy, 199, Article 17433. https://doi.org/10.1016/j.energy.2020.117433

Optimization of segmented solar thermoelectric generator for power output enhancement has been well researched however, the mechanical reliability study of such devices is usually neglected. In addition, assumed heat flux distribution or uniform flux... Read More about Electrical and mechanical analysis of a segmented solar thermoelectric generator under non-uniform heat flux.