Application of human-centric digital twins: Predicting outdoor thermal comfort distribution in Singapore using multi-source data and machine learning DOI
Xin Liu, Zhonghua Gou, Chao Yuan

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102210 - 102210

Published: Nov. 1, 2024

Language: Английский

Investigating building stock energy and occupancy modelling approaches for district-level heating and cooling energy demands estimation in a university campus DOI Creative Commons
Salam Al-Saegh, Vasiliki Kourgiozou, Ivan Korolija

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115269 - 115269

Published: Jan. 1, 2025

Language: Английский

Citations

2

Environmental and Spatial Dynamics in a Flexible Workspace for Hybrid Work: A Data-Driven Design Framework DOI Creative Commons
Jia-Yu Pan, Tze Yeung Cho, Maoran Sun

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112544 - 112544

Published: Jan. 1, 2025

Language: Английский

Citations

2

Non-invasive human thermal adaptive behavior recognition based on privacy-friendly WiFi sensing in buildings: A review DOI
Huakun Huang, Liwen Tan, Peiliang Wang

et al.

Building Simulation, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

0

Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution DOI Creative Commons
Jan Cudzik, Michał Nessel,

Victor Moczarski

et al.

Urban Planning, Journal Year: 2025, Volume and Issue: 10

Published: May 14, 2025

Public space lighting in urban areas is a crucial issue linked to climate change developed environments. It significantly influences aesthetics, functionality, and the sense of safety while also contributing problem light pollution. However, addressing these challenges requires balance between technical optimization environmental considerations, which this study explores through an experimental approach. This examines application advanced digital technologies designing optimizing public lighting, particularly parks. The focus on presenting modular algorithm as foundation for iterative improvements rather than fully comprehensive design solution. article presents that iteratively determines optimal number placement lamps based expected levels. While illuminance levels are considered, future extensions could include additional parameters such glare, uniformity, color temperature meet professional standards. method has significant potential involving users optimization. relies levels, can be derived from standards designer decisions. user expectations incorporated into simulations. For instance, interactive allow highlight under‐illuminated or overly bright areas, co‐created desired map. Lighting precisely calculated, yet users’ subjective perceptions may achieving soft, nature‐friendly lighting. discusses designer‐computer designer‐computer‐user co‐creation human‐ design. framework lays groundwork refinements by integrating input broader parameters.

Language: Английский

Citations

0

The influence of occupant control behaviour on thermal comfort under different heating charging modes in residential buildings in cold regions DOI Creative Commons
Haiyan Yan,

Linxiao Xie,

D. H. Chow

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36328 - e36328

Published: Aug. 1, 2024

In China's central heating, there are two modes for calculating heating costs, which divided into Charging by flow mode charges according to the amount of use and area floor area. The has been increasingly adopted numerous urban buildings. Thus it is worth investigating whether occupants experience varying levels thermal comfort under these modes. To address this, a field test subjective questionnaire survey were conducted on residential buildings in cold regions China during season. study assessed 134 utilizing radiator comprising 66 68 A collection 1206 valid data points was obtained, with 609 597 mode. findings reveal noteworthy disparities duration, area, strength equipment usage between While no marked variances interior exterior environmental conditions both modes, residents enhanced comfort, acceptability expectation, as well better air quality satisfaction. Perceived control can greatly enhance individuals' sensation temperatures below 18 °C above 24 °C. impact perceived expectation linear temperature adjustments. heightened degree sensing lowers residents' expectations high temperatures, broadens range acceptable low accomplishes energy conservation carbon reduction while ensuring optimal comfort.

Language: Английский

Citations

1

Deriving Power Consumption Models From Energy Bills for Optimal Sizing of Hybrid Power in Commercial Buildings DOI Creative Commons
Nihat Çankaya

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 115042 - 115054

Published: Jan. 1, 2024

Language: Английский

Citations

1

Application of human-centric digital twins: Predicting outdoor thermal comfort distribution in Singapore using multi-source data and machine learning DOI
Xin Liu, Zhonghua Gou, Chao Yuan

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102210 - 102210

Published: Nov. 1, 2024

Language: Английский

Citations

0