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dc.creator | Fisch, M.N. | |
dc.creator | Pinkernell, C. | |
dc.creator | Look, M. | |
dc.creator | Plesser, S. | |
dc.creator | Rumpe, B. | |
dc.date.accessioned | 2012-02-27T17:00:28Z | |
dc.date.available | 2012-02-27T17:00:28Z | |
dc.date.issued | 2011 | |
dc.identifier.other | ESL-IC-11-10-37 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/128823 | |
dc.description.abstract | Research on energy efficiency of today's buildings focuses on the monitoring of a building's behavior while in operation. But without a formalized description of the data measured, including their correlations and in particular the expected measurements, the full potential of the collected data can not necessarily be exploited. Who knows if a measured value is good or bad? This problem becomes more virulent as smart control systems sometimes exhibit intelligent, but unexpected behavior (e.g. starting heating at unconventional times). Therefore we defined a methodology starting already at the design of the building leading to a formalized specification of the implementation of a building's management system, which seamlessly integrates to an intelligent monitoring. DIN EN ISO 16484 proposes a method to describe functional requirements in an easy to understand way. We extended its use of state machines to our proposed concept of state based modeling. This proved to be a wholesome approach to easily model buildings and facilities according to the DIN EN ISO 16484 while providing the possibility to apply sophisticated and meaningful analysis methods during monitoring. | en |
dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
dc.publisher | Texas A&M University (http://www.tamu.edu) | |
dc.title | State-based Modeling of Buildings and Facilities | en |
dc.contributor.sponsor | Aachen University |
This item appears in the following Collection(s)
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ICEBO - International Conference for Enhanced Building Operations
International Conference for Enhanced Building Operations