Building Management Model Considering Demand Response and Occupancy Data

Spínola, João; Garcia, Óscar; Catalina, Jorge; Guevara, Fabio; Faria, Pedro; Vale, Zita

http://hdl.handle.net/10400.22/17066

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Abstract(s)

The recursive implementation of smart grid measures in the current energy systems, introduces demand-side resources to new concepts that require their active participation and management. However, these management systems often don’t consider a human factor, i.e. the features that effect the personal comfort of each person, e.g. the lighting, air conditioning, appliances in a given space. In this way, the present paper proposes a methodology for dealing with locational sensor data, to perform the implementation of demand response programs. At the same time, the methodology addresses the scheduling of distributed generation and external suppliers to balance the consumer’s load. The proposed methodology is tested on a case study involving the management of an office building, adapted to simulated sensor data.