Dynamic coordinated air supply for moving individuals in industrial settings: Effectiveness evaluation and demonstration DOI
Yukun Xu,

Xiawei Luo,

Yunfei Xia

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111873 - 111873

Published: July 23, 2024

Language: Английский

Electrospun bimodal nanofibrous membranes for high-performance, multifunctional, and light-weight air filtration: A review DOI
Zungui Shao, Qibin Wang,

Zeqian Gui

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 358, P. 130417 - 130417

Published: Nov. 6, 2024

Language: Английский

Citations

10
Performance prediction and optimization of lateral exhaust hood based on back propagation neural network and genetic algorithm DOI
Junwei Guo, Yanqiu Huang, Zhiyuan Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105696 - 105696

Published: July 23, 2024

Language: Английский

Citations

5
Review of Polycyclic Aromatic Hydrocarbons Pollution Characteristics and Carcinogenic Risk Assessment in Global Cooking Environments DOI
Li Bai,

Xinshuai Geng,

Xinru Liu

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 361, P. 124816 - 124816

Published: Aug. 24, 2024

Language: Английский

Citations

4
An Analysis of the Application Potential of Protected Zone Ventilation in Hospitals Based on Experiments and Simulations DOI
Cheng Zhu,

He Qin,

Nuoa Lei

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112975 - 112975

Published: April 1, 2025

Language: Английский

Citations

0
Occupancy-Based Predictive AI-Driven Ventilation Control for Energy Savings in Office Buildings DOI Open Access
Violeta Motuzienė,

Jonas Bielskus,

Rasa Džiugaitė-Tumėnienė

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4140 - 4140

Published: May 3, 2025

Despite stricter global energy codes, performance standards, and advanced renewable technologies, the building sector must accelerate its transition to zero carbon emissions. Many studies show that new buildings, especially non-residential ones, often fail meet projected levels due poor maintenance management of HVAC systems. The application predictive AI models offers a cost-effective solution enhance efficiency sustainability these systems, thereby contributing more sustainable operations. study aims control variable air volume (VAV) system using machine learning algorithms. A novel ventilation model, AI-VAV, is developed hybrid extreme (ELM) algorithm combined with simulated annealing (SA) optimisation. model trained on long-term monitoring data from three office enhancing robustness avoiding reliability issues seen in similar models. Sensitivity analysis reveals accurate occupancy prediction achieved 8500 10,000 measurement steps, resulting potential additional savings up 7.5% for compared traditional VAV while maintaining CO2 concentrations below 1000 ppm, 12.5% if are slightly above ppm 1.5% time.

Language: Английский

Citations

0
Multi-objectives occupant-centric control of thermostats and natural ventilation systems in cold climate conditions using real-time occupant-related information DOI
Zu Wang,

Honggang Tang,

Hao Zhang

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111882 - 111882

Published: July 27, 2024

Language: Английский

Citations

2
Impact of human walking on the pollutant removal effectiveness of direction air supply considering environmental disturbances: Dynamic simulation study DOI
Yukun Xu, Xiaobin Wei,

Lianjie He

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 256, P. 111473 - 111473

Published: March 29, 2024

Language: Английский

Citations

1
An Improved Zonal Ventilation Control Method of Waiting Hall of High-Speed Railway Station Based on Real-Time Occupancy DOI Creative Commons
Pei Zhou,

Jintao Zhou,

Yu Tang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(6), P. 1783 - 1783

Published: June 13, 2024

The random movement of occupants in a high-speed railway station results more complex indoor environment. In this study, the thermal environment and comfort summer were investigated via field measurements questionnaires waiting hall station. showed that there was an uneven horizontal temperature distribution area, over 30% passengers dissatisfied with air conditioning system. order to improve control as well reduce energy consumption system, improved zonal strategy AMPC optimization algorithm based on real-time people are proposed, different strategies modeled simulated using MATLAB/Simulink. It is concluded method proposed paper can save 28.04% fan compared traditional strategy.

Language: Английский

Citations

0
Dynamic coordinated air supply for moving individuals in industrial settings: Effectiveness evaluation and demonstration DOI
Yukun Xu,

Xiawei Luo,

Yunfei Xia

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111873 - 111873

Published: July 23, 2024

Language: Английский

Citations

0