Estimation of airflow distribution in cubic building group model using POD-LSE and limited sensors-Reference-Cited by-同舟云学术

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Estimation of airflow distribution in cubic building group model using POD-LSE and limited sensors

Published:2022-08 Issue: Volume:221 Page:109324
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Hu Chaoyi,Jia Hongyuan^ORCID,Kikumoto Hideki^ORCID

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference43 articles.

1. Pedestrian level wind assessment through city development: a study of the financial district in Toronto;Adamek;Sustain. Cities Soc.,2017

2. An overview of various kinds of wind effects on unmanned aerial vehicle;Wang;Meas. Control,2019

3. On the effect of wind direction and urban surroundings on natural ventilation of a large semi-enclosed stadium;van Hooff;Comput. Fluids,2010

4. Coupling CFD and building energy modelling to optimize the operation of a large open office space for occupant comfort;Shan;Sustain. Cities Soc.,2020

5. Numerical determination and treatment of convective heat transfer coefficient in the coupled building energy and CFD simulation;Zhai;Build. Environ.,2004

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1. Data extension of high-resolution wind speed database by fusing meteorological observation and local objective analysis data with POD–LSE;Journal of Wind Engineering and Industrial Aerodynamics;2024-09

2. SiGAN: A 3D sensor importance deep generative model for urban wind flow field monitoring;Building and Environment;2024-08

3. Assessment on fast simulation of wind-driven pollutant dispersion around a street canyon with regime-switching Markov chain;Building and Environment;2024-06

4. Predictive monitoring of built thermal environment using limited sensor data: A deep learning-based spatiotemporal method;Sustainable Energy Technologies and Assessments;2024-06

5. Accelerating flow simulations in the built environment by using the fast fluid dynamics initializer;Building and Environment;2024-04

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