Predictive control methods to improve energy efficiency and reduce demand in buildings

This paper presents an overview of results and future challenges related to temperature control and cost optimization in building energy systems. Control and economic optimization issues are discussed and illustrated through simulation examples. The paper concludes with results from model predictive...

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Bibliographic Details
Published inComputers & chemical engineering Vol. 51; pp. 77 - 85
Main Authors Salsbury, Tim, Mhaskar, Prashant, Qin, S. Joe
Format Journal Article Conference Proceeding
LanguageEnglish
Published Kidlington Elsevier Ltd 05.04.2013
Elsevier
Subjects
Applied sciences
Building technical equipments
Buildings
Buildings. Public works
Computer science; control theory; systems
Control theory. Systems
Energy
Energy management and energy conservation in building
Energy. Thermal use of fuels
Environmental engineering
Exact sciences and technology
Heating, air conditioning and ventilation
Optimal control
Technical data: comfort, insulation, loads, etc
Model predictive control
Energy method
Buildings
Energetic efficiency
Economic optimization
Temperature control
Energy management
Modeling
Cost control
Predictive control
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Summary:This paper presents an overview of results and future challenges related to temperature control and cost optimization in building energy systems. Control and economic optimization issues are discussed and illustrated through simulation examples. The paper concludes with results from model predictive control solutions and identification of important directions for future work.
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2012.08.003