All Outputs (4)

Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand (2021)
Journal Article
Tien, P. W., Wei, S., Calautit, J. K., Darkwa, J., & Wood, C. (2022). Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand. Applied Energy, 308, Article 118336. https://doi.org/10.1016/j.apenergy.2021.118336

Occupancy behaviour in buildings can impact the energy performance and operation of heating, ventilation and air-conditioning (HVAC) systems. HVAC, which uses conventional control strategies or “fixed” setpoint schedules, could not adjust to the cond... Read More about Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand.

Evaluation of the precision and accuracy of the QUB/e method for assessing the as-built thermal performance of a low-energy detached house in UK (2021)
Journal Article
Sougkakis, V., Meulemans, J., Wood, C., Gillott, M., & Cox, T. (2022). Evaluation of the precision and accuracy of the QUB/e method for assessing the as-built thermal performance of a low-energy detached house in UK. Energy and Buildings, 255, Article 111643. https://doi.org/10.1016/j.enbuild.2021.111643

In this paper, the findings from a field study of the thermal performance of a low-energy dwelling are presented and discussed. The study aimed at evaluating the precision and accuracy of the QUB/e method in the field under UK climatic conditions. A... Read More about Evaluation of the precision and accuracy of the QUB/e method for assessing the as-built thermal performance of a low-energy detached house in UK.

A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand (2021)
Journal Article
Tien, P. W., Wei, S., Liu, T., Calautit, J., Darkwa, J., & Wood, C. (2021). A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand. Renewable Energy, 177, 603-625. https://doi.org/10.1016/j.renene.2021.05.155

Building ventilation accounts for up to 30% of the heat loss in commercial buildings and 25% in industrial buildings. To effectively aid the reduction of energy consumption in the building sector, the development of demand-driven control systems for... Read More about A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand.

Evaluation of the indoor pressure distribution during building airtightness tests using the pulse and blower door methods (2021)
Journal Article
Hsu, Y., Zheng, X., Cooper, E., Gillott, M., & Wood, C. J. (2021). Evaluation of the indoor pressure distribution during building airtightness tests using the pulse and blower door methods. Building and Environment, 195, Article 107742. https://doi.org/10.1016/j.buildenv.2021.107742

Building airtightness is a critical aspect for energy-efficient buildings as the energy performance of a building can be significantly reduced by poor airtightness. The Pulse technique has been regarded as a promising technology, measuring building a... Read More about Evaluation of the indoor pressure distribution during building airtightness tests using the pulse and blower door methods.