New Paper Published in Japan Architectural Review
Published:
Our paper “POD-Based Reduced-Order Modeling of Indoor Temperature Fields in Impinging Jet Ventilation: Parameter-Based Prediction and Sparse Sensor Reconstruction” has been published in Japan Architectural Review.
Zitao Jiang, Tomohiro Kobayashi
Japan Architectural Review, Vol. 9, Issue 1, 2026
This study applies Proper Orthogonal Decomposition (POD) to develop reduced-order models for rapid prediction and reconstruction of indoor temperature fields under impinging jet ventilation.
Two complementary approaches were investigated:
- Parameter-Based Prediction (POD-RBF) — predicting the complete indoor temperature field from operating conditions such as inlet velocity and internal heat load.
- Sparse Sensor Reconstruction (POD-LSE) — reconstructing the complete temperature field from measurements obtained by a limited number of temperature sensors.
The results demonstrate the potential of POD-based reduced-order modeling for efficient indoor environmental prediction without repeatedly performing computationally expensive CFD simulations.
The sparse-sensor approach is particularly promising for future applications in real-time environmental monitoring, HVAC control, and building digital twins.