Development of a calibrated zonal model for airflow and temperature distribution prediction DOI Open Access
Bo Lan, Gongsheng Huang

Building Simulation Conference proceedings, Journal Year: 2023, Volume and Issue: 18

Published: Sept. 4, 2023

The zonal model serves as an intermediate approach between computational fluid dynamics (CFD) and nodal models, offering a balance prediction accuracy efficiency, making it widely used tool for predicting indoor environments. Although most research has focused on natural convection conditions, there been limited study non-isothermal forced convection, the requires improvement. To address this limitation, multi-flow coefficient calibration method is proposed to enhance of jet-integrated under conditions. calibrates coefficients in using multi-objective genetic algorithm (MOGA), taking into account both velocity temperature performance. Experimental results from test room indicate that calibrated more accurate describing distribution air fields jet compared conventional model.

Language: Английский

Towards the use of data-driven methods for indoor airflow field reconstruction: A systematic review DOI

A. Olivas,

Jurng‐Jae Yee

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112581 - 112581

Published: April 1, 2025

Language: Английский

Citations

0
Subzone division optimization with probability analysis-based K-means clustering for coupled control of non-uniform thermal environments and individual thermal preferences DOI
Sheng Zhang, Ruifeng Wang, Zhang Lin

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 249, P. 111155 - 111155

Published: Dec. 28, 2023

Language: Английский

Citations

9
Seasonal thermal performance of a macro-encapsulated phase change material blind integrated double skin façade system: An experimental study DOI

Yilin Li,

Sipeng Fu,

Yidong Li

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 325, P. 114952 - 114952

Published: Oct. 28, 2024

Language: Английский

Citations

2
An Artificial Neural Network Based Approach to Air Supply Control in Large Indoor Spaces Considering Occupancy Dynamics DOI
Bo Lan, Ruichao Zhang, Zhun Yu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 263, P. 111864 - 111864

Published: July 20, 2024

Language: Английский

Citations

1
Hybrid model-based predictive HVAC control through fast prediction of transient indoor temperature fields DOI
Gang Liu, Junxi Gao, Zhen Han

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112253 - 112253

Published: Nov. 1, 2024

Language: Английский

Citations

1
Development of non-isothermal wall jet integrated zonal model with enhanced accuracy using a multi-flow coefficient calibration method DOI
Bo Lan, Hang Wan,

Zhun Yu

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 239, P. 110443 - 110443

Published: May 20, 2023

Language: Английский

Citations

3
Reallocation of Supply Air in Large Indoor Spaces Considering Thermal Coupling DOI
Bo Lan, Gongsheng Huang

Lecture notes in civil engineering, Journal Year: 2024, Volume and Issue: unknown, P. 465 - 476

Published: Jan. 1, 2024

Language: Английский

Citations

0
A novel improved hybrid neural network for predicting heating load in airport building DOI

Zhilu Xue,

Junqi Yu, Siyuan Yang

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110394 - 110394

Published: Aug. 15, 2024

Language: Английский

Citations

0
Development of a calibrated zonal model for airflow and temperature distribution prediction DOI Open Access
Bo Lan, Gongsheng Huang

Building Simulation Conference proceedings, Journal Year: 2023, Volume and Issue: 18

Published: Sept. 4, 2023

The zonal model serves as an intermediate approach between computational fluid dynamics (CFD) and nodal models, offering a balance prediction accuracy efficiency, making it widely used tool for predicting indoor environments. Although most research has focused on natural convection conditions, there been limited study non-isothermal forced convection, the requires improvement. To address this limitation, multi-flow coefficient calibration method is proposed to enhance of jet-integrated under conditions. calibrates coefficients in using multi-objective genetic algorithm (MOGA), taking into account both velocity temperature performance. Experimental results from test room indicate that calibrated more accurate describing distribution air fields jet compared conventional model.

Language: Английский

Citations

1