Towards intelligent workstations: Investigating the feasibility of Doppler radar sensors for personal respiratory quantification in thermal comfort DOI Creative Commons
Wooyoung Jung, Farrokh Jazizadeh

Building and Environment, Journal Year: 2023, Volume and Issue: 245, P. 110846 - 110846

Published: Sept. 17, 2023

Language: Английский

How to measure and control indoor air quality based on intelligent digital twin platforms: A case study in China DOI
Yuchong Qian, Jiawei Leng, Kai Zhou

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 253, P. 111349 - 111349

Published: Feb. 23, 2024

Language: Английский

Citations

17

From characteristics to practical applications of skin temperature in thermal comfort research – A comprehensive review DOI
Jiaqi Zhao, Rui Wang,

Yeyu Wu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111820 - 111820

Published: July 6, 2024

Language: Английский

Citations

11

Managing energy consumption and indoor environment quality using augmented reality based on the occupants’ satisfaction and characteristics DOI

Seungkeun Yeom,

Jongbaek An, Taehoon Hong

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 311, P. 114165 - 114165

Published: April 8, 2024

Language: Английский

Citations

7

Emotion-oriented recommender system for personalized control of indoor environmental quality DOI

Hakpyeong Kim,

Taehoon Hong

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111396 - 111396

Published: March 11, 2024

Language: Английский

Citations

5

Indoor environmental quality models: A bibliometric, mapping and clustering review DOI
Iasmin Lourenço Niza,

Gabriel Costa Cordeiro Gomes,

Evandro Eduardo Broday

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 203, P. 114791 - 114791

Published: July 30, 2024

Language: Английский

Citations

4

Promoting sustainable development goals through energy-related behaviors of household occupants: Fostering sustainable energy solutions in developing countries DOI
Mohammad M. Hamed,

Aseel Alkhreasha,

Ahmad AlShaer

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 213, P. 115511 - 115511

Published: Feb. 19, 2025

Language: Английский

Citations

0

Does user-centric thermal environment control require real-time recognition of user's clothing condition? A laboratory pilot study DOI
Jiaqi Zhao, Rui Wang, Chungyoon Chun

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112939 - 112939

Published: March 1, 2025

Language: Английский

Citations

0

Metrological characterisation of low-cost and wearable sensors for research on healthy buildings in a novel Living Laboratory DOI Creative Commons
Francesca Rolle, Fabio Favoino, Giuseppina Arcamone

et al.

EPJ Web of Conferences, Journal Year: 2025, Volume and Issue: 323, P. 04001 - 04001

Published: Jan. 1, 2025

To achieve the EU targets in terms of ecological transition, and to assure people health, wellbeing comfort indoor environment, research building sector plays a fundamental role. In last decades energy efficiency environmental quality (IEQ) buildings have increased significantly, but gap between actual operational performances sensors expected measurement results still exists. The Italian project “MIRABLE - Measurement Infrastructure for Research on heAlthy zero Buildings novel Living lab Ecosystems”, carried out cooperation National Metrology Institute, INRiM, Polytechnic University Torino, aims develop methodology reduce this by creating validating infrastructure monitoring multi-domain conditions occupants’ interaction full scale Laboratory (denominated “H-IEQ LL”). final goal is support realisation healthy smart use. Among activities MIRABLE project, development methodologies defining ground-truth low-grade wearable IEQ measurements ongoing. After thorough analysis available market, best practices monitor with buildings, set were selected metrologically characterised four domains interest H-IEQ LL: thermal conditions, lighting (spectral distribution included), acoustic air quality. response occupants these variables, means low-cost mounted fixed stations LL sensors, will allow evaluate their feedbacks systems dynamic mode. An overview obtained from metrological characterisation at preliminary calibration some measured variables (e.g. temperature, sound pressure, CO 2 level, lighting), are presented work. be installed LL, create sensor network physical environment used occupant related quantities well-controlled environment. A situ use, data collection periodic also under definition.

Language: Английский

Citations

0

From needs to control: a review of indicators and sensing technologies for occupant-centric smart lighting systems DOI
Yuxiao Wang, Xin Zhang, Hongwei Chen

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115740 - 115740

Published: April 1, 2025

Language: Английский

Citations

0

Overall and local environmental collaborative control based on personal comfort model and personal comfort system DOI

Yeyu Wu,

Haihua Jiang,

Weiming Chen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123707 - 123707

Published: June 21, 2024

Language: Английский

Citations

3