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

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102210 - 102210

Опубликована: Ноя. 1, 2024

Язык: 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

и другие.

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115269 - 115269

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112544 - 112544

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Building Simulation, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0

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

Victor Moczarski

и другие.

Urban Planning, Год журнала: 2025, Номер 10

Опубликована: Май 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.

Язык: Английский

Процитировано

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

и другие.

Heliyon, Год журнала: 2024, Номер 10(16), С. e36328 - e36328

Опубликована: Авг. 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.

Язык: Английский

Процитировано

1

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

IEEE Access, Год журнала: 2024, Номер 12, С. 115042 - 115054

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Urban Climate, Год журнала: 2024, Номер 58, С. 102210 - 102210

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0