Enhancing thermal comfort through leading-edge design, monitoring, and optimization technologies: A review

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper offers a thorough examination of strategies geared towards enhancing thermal comfort within constructed spaces through the incorporation state-of-the-art design, monitoring, and optimization technologies. In light escalating challenges brought about by climate change increasing demand for sustainable energy-efficient building solutions, quest improved has emerged as central focus in architectural engineering research. The initiates its exploration delving into contemporary design principles that underscore significance passive strategies, such optimal orientation, shading devices, natural ventilation. It elucidates synergies between elements comfort, emphasizing how innovative designs can foster ideal indoor conditions while reducing reliance on energy-intensive heating, ventilation, air conditioning (HVAC) systems. A substantial segment review is dedicated to monitoring technologies enabling real-time assessment environmental parameters. integration sensors, data analytics, Building Information Modelling (BIM) facilitates nuanced comprehension dynamics, allowing adaptive responses evolving conditions. discusses role wearable devices occupant feedback systems capturing subjective perceptions, thereby enriching pool more comprehensive analysis. Moreover, delves burgeoning field technologies, encompassing utilization machine learning algorithms artificial intelligence management These empower predictive modeling optimizing HVAC operations, minimizing energy consumption. synthesis these not only enhances well-being but also aligns with global endeavours forge resilient built environments amid challenges.

Language: Английский

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Editorial: AI and IoT applications of smart buildings and smart environment design, construction and maintenance

Building and Environment, Journal Year: 2022, Volume and Issue: 229, P. 109968 - 109968

Published: Dec. 30, 2022

Language: Английский

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Measuring thermal comfort using wearable technology in transient conditions during office activities

Measurement, Journal Year: 2023, Volume and Issue: 224, P. 113897 - 113897

Published: Nov. 19, 2023

This paper presents an experiment for assessing thermal comfort of occupants in the built environment, from a subjective perspective, focusing on office environment; dedicated measurement campaign using sensors acquisition physiological and environmental parameters was conducted. Skin temperature measured with two sensors: minimally invasive sensor measuring wrist temperature, camera to retrieve forehead temperature; simultaneously, heart rate variability wearable device. 15 participants were exposed dynamic changes air temperature. Data collected measure participants' sensation vote, machine learning algorithms. Decision Tree provided higher performances, dataset made features mean average error absolute percentage 0.86 20.9%. The research contributes personalization improve well-being productivity network.

Language: Английский

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Efficient model-free control of chiller plants via cluster-based deep reinforcement learning

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 82, P. 108345 - 108345

Published: Dec. 20, 2023

Language: Английский

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Non-intrusive personal thermal comfort modeling: A machine learning approach using infrared face recognition

Building and Environment, Journal Year: 2023, Volume and Issue: 247, P. 111033 - 111033

Published: Nov. 17, 2023

Language: Английский

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