Properly operating the complex heating, ventilation, air conditioning, lighting and other systems of a modern building to maximize energy efficiency is a difficult task. The EnRiMa project integrates interdisciplinary knowledge into a state-of-the-art Decision Support System (DSS) that assists building operators with energy management in such buildings, as well as with long-term planning to increase energy efficiency.
The long-term planning includes an analysis of retrofits and/or expansion of existing on-site energy subsystems in order to meet forthcoming EU targets for reducing CO2 emissions. In this context, modeling energy management under uncertainties and risks at both operational and strategic levels forms the core of the DSS.
The DSS is being developed for testing at a university campus in Pinkafeld, Austria, and a community center in northern Spain, but will be adaptable for use of other buildings.
IIASA researchers are to designing a dedicated DSS Engine that will combine modern methodologies and technologies, including structured modelling, web services, and data and model warehousing, to enable effective application of the EnRiMa stochastic models in support of both strategic and operational decision making. IIASA researchers will also assist in modelling energy prices and loads, and handling uncertainties in modelling energy flows.
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01.10.2010 - 31.03.2014
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