All Outputs (7)

Enhancing the detection performance of a vision-based window opening detector (2022)
Journal Article
Tien, P. W., Wei, S., Calautit, J., Darkwa, J., & Wood, C. (2022). Enhancing the detection performance of a vision-based window opening detector. Cleaner Energy Systems, 3, Article 100038. https://doi.org/10.1016/j.cles.2022.100038

In favourable climates and building types, employing natural ventilation can lead to significant energy savings and health benefits. However, in cold climates or conditions, the use of natural ventilation could result in significant heat loss and, co... Read More about Enhancing the detection performance of a vision-based window opening detector.

Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review (2022)
Journal Article
Tien, P. W., Wei, S., Darkwa, J., Wood, C., & Calautit, J. K. (2022). Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review. Energy and AI, 10, Article 100198. https://doi.org/10.1016/j.egyai.2022.100198

The built environment sector is responsible for almost one-third of the world's final energy consumption. Hence, seeking plausible solutions to minimise building energy demands and mitigate adverse environmental impacts is necessary. Artificial intel... Read More about Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review.

Enhancing the detection performance of a vision-based occupancy detector for buildings (2022)
Journal Article
Tien, P. W., Wei, S., Chow, T. W., Darkwa, J., Wood, C., & Calautit, J. K. (2022). Enhancing the detection performance of a vision-based occupancy detector for buildings. Proceedings of the ICE - Engineering Sustainability, https://doi.org/10.1680/jensu.22.00013

Occupant behaviour is one of the key parameters that significantly impact the operation of heating, ventilation, and air-conditioning (HVAC) systems and the energy performance of buildings. The detailed occupancy information can improve HVAC operatio... Read More about Enhancing the detection performance of a vision-based occupancy detector for buildings.

Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change (2022)
Journal Article
Zhong, F., Calautit, J. K., & Wu, Y. (2022). Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change. Energy, 258, Article 124762. https://doi.org/10.1016/j.energy.2022.124762

The effect of climate change on heating, ventilation and airconditioning (HVAC) system performances has become prominent, and HVAC fault impacts may also vary with climate change. This paper evaluates the impacts of HVAC operational faults on system... Read More about Assessment of HVAC system operational fault impacts and multiple faults interactions under climate change.

A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment (2022)
Journal Article
Zhang, W., Wu, Y., & Calautit, J. K. (2022). A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment. Renewable and Sustainable Energy Reviews, 167, Article 112704. https://doi.org/10.1016/j.rser.2022.112704

The occupants' presence, activities, and behaviour can significantly impact the building's performance and energy efficiency. Currently, heating, ventilation, and air-conditioning (HVAC) systems are often run based on assumed occupancy levels and fix... Read More about A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment.

Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV) (2022)
Journal Article
Wei, S., Tien, P. W., Chow, T. W., Wu, Y., & Calautit, J. K. (2022). Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering, 56, Article 104715. https://doi.org/10.1016/j.jobe.2022.104715

The present study investigated the potential of the application of a live occupancy detection approach to assist the operations of demand-controlled ventilation (DCV) systems to ensure that sufficient interior thermal conditions and air quality were... Read More about Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV).

Evaluating urban heat island mitigation strategies for a subtropical city centre (a case study in Osaka, Japan) (2022)
Journal Article
Zheng, T., Qu, K., Darkwa, J., & Calautit, J. K. (2022). Evaluating urban heat island mitigation strategies for a subtropical city centre (a case study in Osaka, Japan). Energy, 250, Article 123721. https://doi.org/10.1016/j.energy.2022.123721

Urban heat island (UHI) effects were first observed in London in the 19th century. The urban heat island is identified by developing higher temperatures in urban areas than the surrounding rural areas that directly surround them. However, there are s... Read More about Evaluating urban heat island mitigation strategies for a subtropical city centre (a case study in Osaka, Japan).