Journal
ENERGY AND BUILDINGS
Volume 57, Issue -, Pages 361-372Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2012.10.044
Keywords
Optimization; Hierarchical control; Predictive control; Thermal comfort; PMV index; Dual problem; Primal problem
Funding
- PSE-ARFRISOL [PS-120000-2005-1]
- National Plan Projects [TIN2008-01117, DPI2010-21589-C05-04]
- Spanish Ministry of Science and Innovation
- ERDF
- Spanish Ministry of Education [PHB2009-0008]
- CNPq-BRASIL
- CAPES-DGU [220/2010]
- Becas Iberoamerica, jovenes profesores e investigadores Santander Universidades (Convocatoria)
- CAPES-Brazil [220/2010]
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Energy efficiency and energy saving are important concepts bearing in mind by governments and population during the last years. There exist a widespread concern about fossil fuel depletions and the consequent sharp rise in their value. In particular, building is an area highly influenced by those issues. Studies indicate that 40% of the energy generated worldwide is consumed inside buildings, and then, measures to reduce energy consumption are required. In this work, an optimal controller for distributing the energy consumption rate inside a building and preserving, at the same time, the user welfare is proposed. More precisely, the paper presents a predictive control approach that obtains a high thermal comfort level optimizing the use of an HVAC (Heating, Ventilation and Air Conditioning) system by means of a cost function. The optimization procedure is based on the Lagrangian dual method, which allows the use of parallel programming paradigms in an easy way. This may reduce the computational effort proportionally to the number of processing elements when the problem to solve is large. (c) 2012 Elsevier B.V. All rights reserved.
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