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 …

This paper discusses greedy methods for sensor placement in linear inverse problems. We
comprehensively review the greedy methods in the sense of optimizing the mean squared …

Accurately knowing the spatiotemporal distribution of indoor environmental parameters is
important for indoor thermal comfort adjusting and building energy saving. Due to the …

In thermal management systems, temperature field monitoring is vital for the structural safety
of electronic equipment. However, there are practical challenges when it comes to installing …

A deep learning super-resolution scheme is proposed to reconstruct a coarse, turbulent
temperature field into a detailed, continuous field. The fluid mechanics application here …

Fast and reliable prediction of indoor airflow distribution is critical for indoor environment
control. While neural networks (NN), often interchangeably referred to as Back Propagation …

The gas dispersion simulation in complex urban environment posts challenges on
consequence analysis. Though computational fluid dynamics (CFD) are general …

Spatiotemporal monitoring of the built thermal environment plays an important role in
promoting building thermal and energy management for development of sustainable …

Real-time estimation of three-dimensional field data for enclosed spaces is critical to HVAC
control. This task is challenging, especially for large enclosed spaces with complex …

Short-term wind forecasting is important in updating wind electricity trading strategies, facility
protection and more effective operation control. Physical based models, particularly those …