[HTML][HTML] Natural ventilation of large air masses: Experimental and numerical techniques review

R Mateus, JMC Pereira, A Pinto - Energy and Buildings, 2023 - Elsevier
Natural Ventilation (NV) contributes to the energy performance and Indoor Air Quality (IAQ)
of existing buildings and Nearly Zero Energy Buildings (NZEB). To predict and validate the …

Inverse regulation of the indoor environment: An overview of the adjoint method

X Zhao, Y Yin - Energy and Buildings, 2022 - Elsevier
The adjoint method has been used in the indoor environment for more than ten years, but it
has not been widely used up to now. This paper describes the current state of the adjoint …

Ventilation control strategy using low-dimensional linear ventilation models and artificial neural network

SJ Cao, C Ren - Building and Environment, 2018 - Elsevier
Abstract Directly using CFD (Computational Fluid Dynamics) for ventilation prediction and
control is time-consuming and data-storage-expensive. Construction of linear system is of …

Implementation and visualization of artificial intelligent ventilation control system using fast prediction models and limited monitoring data

C Ren, SJ Cao - Sustainable Cities and Society, 2020 - Elsevier
Coupling modelling and monitoring has always been a very challenging task aiming for
indoor air pollution control towards the construction of safe, healthy and energy-efficient …

A reduced order model for turbulent flows in the urban environment using machine learning

D Xiao, CE Heaney, L Mottet, F Fang, W Lin… - Building and …, 2019 - Elsevier
To help create a comfortable and healthy indoor and outdoor environment in which to live,
there is a need to understand turbulent air flows within the urban environment. To this end …

Indoor airflow field reconstruction using physics-informed neural network

C Wei, R Ooka - Building and Environment, 2023 - Elsevier
Obtaining a detailed indoor airflow field is important for the accurate and efficient control of
indoor environmental comfort. Traditional computational fluid dynamics (CFD) methods and …

Development of a new dynamic smagorinsky model by an artificial neural network for prediction of outdoor airflow and pollutant dispersion

T Dai, S Liu, J Liu, N Jiang, Q Chen - Building and Environment, 2023 - Elsevier
Highlights•The development of a new dynamic Smagorinsky model which obtains coefficient
by ANN.•The ANN model is trained from a simple case and is generalizable to other …

Influence of data preprocessing on neural network performance for reproducing CFD simulations of non-isothermal indoor airflow distribution

Q Zhou, R Ooka - Energy and Buildings, 2021 - Elsevier
The indoor environment is important to the daily lives of humans. Fast and accurate
prediction of indoor environments is desirable with regard to practical applications, such as …

An open source fast fluid dynamics model for data center thermal management

X Han, W Tian, J VanGilder, W Zuo, C Faulkner - Energy and Buildings, 2021 - Elsevier
Although computational fluid dynamics (CFD) has been widely adopted to improve data
center thermal management, the high computational demand limits its applications, such as …

Indoor environment reconstruction algorithm based on gappy POD and finite sensors

X Wang, D Li, J Zhao, Z Cao, W Weng - Energy and Buildings, 2023 - Elsevier
In this study, the gappy proper orthogonal decomposition (POD) method was used in
combination with finite sensors and computational fluid dynamics (CFD) simulations to …