[HTML][HTML] Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions

VA Arowoiya, RC Moehler, Y Fang - Energy and Built Environment, 2024 - Elsevier
In recent years, the integration of digital technologies has grown rapidly in the field of
thermal comfort and energy efficiency for buildings. The concept of a digital twin …

[HTML][HTML] Energy modelling and control of building heating and cooling systems with data-driven and hybrid models—A review

Y Balali, A Chong, A Busch, S O'Keefe - Renewable and Sustainable …, 2023 - Elsevier
Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

W Zhang, Y Wu, JK Calautit - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

A systematic review of personal thermal comfort models

LA Martins, V Soebarto, T Williamson - Building and Environment, 2022 - Elsevier
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …

Evolution and performance analysis of adaptive thermal comfort models–A comprehensive literature review

R Yao, S Zhang, C Du, M Schweiker, S Hodder… - Building and …, 2022 - Elsevier
Thermal comfort is fundamental to indoor environmental design and operation as well as
indoor thermal environment evaluation. This paper has reviewed the historic evolution of …

Ten questions concerning reinforcement learning for building energy management

Z Nagy, G Henze, S Dey, J Arroyo, L Helsen… - Building and …, 2023 - Elsevier
As buildings account for approximately 40% of global energy consumption and associated
greenhouse gas emissions, their role in decarbonizing the power grid is crucial. The …

Application of machine learning in thermal comfort studies: A review of methods, performance and challenges

ZQ Fard, ZS Zomorodian, SS Korsavi - Energy and Buildings, 2022 - Elsevier
This paper provides a systematic review on the application of Machine Learning (ML) in
thermal comfort studies to highlight the latest methods and findings and provide an agenda …

Analysis of the accuracy on PMV–PPD model using the ASHRAE Global Thermal Comfort Database II

T Cheung, S Schiavon, T Parkinson, P Li… - Building and …, 2019 - Elsevier
The predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD) are the most
widely used thermal comfort indices. Yet, their performance remains a contested topic. The …

[HTML][HTML] Ten questions concerning well-being in the built environment

S Altomonte, J Allen, PM Bluyssen, G Brager… - Building and …, 2020 - Elsevier
Well-being in the built environment is a topic that features frequently in building standards
and certification schemes, in scholarly articles and in the general press. However, despite …

Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation

W O'Brien, A Wagner, M Schweiker, A Mahdavi… - Building and …, 2020 - Elsevier
Despite the fact that buildings are designed for occupants in principle, evidence suggests
buildings are often uncomfortable compared to the requirements of standards; difficult to …