Presenter: Jim Braun, Purdue University (The Pennsylvania State University Consortium for Building Energy Innovation)
This project aims to develop and validate cost-effective methods for rooftop air conditioning unit (RTU) coordination and diagnostics in small commercial buildings. To this end, the project is using “virtual” sensors to reduce the cost of embedded diagnostics. In addition, the project is using self-learning “lumped disturbance” models to reduce cost and improve scalability for optimal RTU coordination. The project has already developed virtual sensors, demonstrated an integrated diagnostic system, and evaluated a “plug-and-play” learning controller for RTU coordination. Future project outputs include the demonstration of both embedded RTU diagnostics and plug-and-play RTU coordination.