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Jun 17, 2014
Knowledge-Based Holistic Energy Management of Public Buildings
Authors: S. K. Howell, Y. Rezgui, and B. YuceAuthor Affiliations
Publication: Computing in Civil and Building Engineering (2014)
Abstract
Much recent work has been conducted towards reducing the energy consumption of mixed mode buildings through rule-based automation. This paper presents a novel rule generation methodology through the simultaneous use of historical sensor data and theoretical models. The theoretical rule generation methodology will be explained, encompassing the development of an energy model to the inclusion of rules within the building specific ontology. This will include the development of use-case scenarios, their refinement through a sensitivity analysis and the generation of rules through an artificial neural network embedded evolutionary optimisation algorithm. Following a review of relevant literature, the methodology will be contextualised within the architecture of the KnoholEM project and applied to the first demonstration object, a mixed use public building in the Netherlands. An example of a rule generated will then be presented and the system will be considered within the existing solution space before comments regarding future developments.
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© 2014 American Society of Civil Engineers.
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Published online: Jun 17, 2014
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S. K. Howell
BRE Institute of Sustainable Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, Wales, UK
Y. Rezgui
BRE Institute of Sustainable Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, Wales, UK
B. Yuce
BRE Institute of Sustainable Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, Wales, UK
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