Partner Institution: European Commission

Project Information: Co-Principal Investigator (Co-PI), €716,000, 2013.01-2016.12

Project Description: In Europe, buildings account for more than 42% of total energy consumption. Efficient building automation systems can reduce this consumption by up to 30%. To achieve this goal sustainably, continuous commissioning and maintenance of building automation systems are crucial. The proposed AMBI project focuses on advanced building diagnosis and prediction, enhanced through virtual sensors and grounded in Stochastic Hybrid System (SHS) theory. This research scope relies on the expertise of three participants and provides an interesting space that is both open and focused for mutual knowledge sharing. The project’s main objective is to apply diagnosis and prediction techniques to optimize maintenance. This goal will be achieved through collaboration among participants who will combine their rich backgrounds, emphasizing generality while demonstrating functionality through examples throughout the project. The primary goal is to strengthen facility management by providing information that enables effective decisions about maintenance actions to optimize building operations. The ultimate goal is to provide specific action recommendations; the minimum goal is to issue alerts when abnormal situations occur.