Monitoring detailed real-time building environments using POD-LSE technique and limited measurements.

摘要

Detailed real-time monitoring of building environmental information holds significant potential for improving HVAC system control, operation, and delivery strategies for improving energy efficiency and effectiveness of `smart' buildings. Current existing indoor environmental sensors and monitoring methods rely on assumptions of uniform conditions and average parameters that are knowingly poor for most building environments where parameters such as airflows, temperatures, and contaminant distributions are constantly changing. This research establishes a methodology for using a coupled Proper Orthogonal Decomposition - Linear Stochastic Estimation (POD-LSE) technique to reconstruct detailed real-time building environmental temperature and velocity fields using a limited number of monitoring measurements. This research also assesses the applicability of the proposed methodology for monitoring mechanically ventilated and naturally ventilated building environmental conditions based on experimentation and numerical simulation. The detailed real-time environmental information provided by the methodology is successfully used in a select number of building environment applications and promises to open the door for more advanced monitoring research to improve HVAC system control, and ultimately energy efficiency.