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Building Simulation 2009, 2(3): 175-185 https://doi.org/10.1007/s12273-009-9119-y
Research Article | Issue | Published: 08 September 2009

Assessing the saving potential of blind controller via multi-objective optimization

Show Author's Information David Daum( ),  Nicolas Morel
Solar Energy and Building Physics Laboratory (LESO), Swiss Federal Institute of Technology Lausanne (EPFL), 1015 Lausanne, Switzerland
Keywords:
energy efficiency, simulation, multi-objective optimization, smart blind controller, fuzzy logic
Cite this article:
Daum D, Morel N. Assessing the saving potential of blind controller via multi-objective optimization. Building Simulation, 2009, 2(3): 175-185. https://doi.org/10.1007/s12273-009-9119-y
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Abstract Full text About this article

This paper presents the results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a residential building and a room of the LESO (Solar Energy and Building Physics Laboratory) experimental building. The blind controller, which is based on fuzzy logic, was optimized not only in terms of energy consumption but also in terms of thermal comfort. The goal is to show saving potential for intelligent blind controller in a real world example rather than in tailored idealized test rooms. Therefore, a state of the art simulation program with a multi-objective evolutionary algorithm was combined. It was found that with elementary control systems, like schedules for the lighting in a building, almost 40% of the energy could be saved. With the help of more advanced controllers this can be further increased. Also discussed in this paper are the results and the feasibility of implementing such a controller.


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About this article

Assessing the saving potential of blind controller via multi-objective optimization

Show Author's information David Daum( ), Nicolas Morel
Solar Energy and Building Physics Laboratory (LESO), Swiss Federal Institute of Technology Lausanne (EPFL), 1015 Lausanne, Switzerland

Abstract

This paper presents the results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a residential building and a room of the LESO (Solar Energy and Building Physics Laboratory) experimental building. The blind controller, which is based on fuzzy logic, was optimized not only in terms of energy consumption but also in terms of thermal comfort. The goal is to show saving potential for intelligent blind controller in a real world example rather than in tailored idealized test rooms. Therefore, a state of the art simulation program with a multi-objective evolutionary algorithm was combined. It was found that with elementary control systems, like schedules for the lighting in a building, almost 40% of the energy could be saved. With the help of more advanced controllers this can be further increased. Also discussed in this paper are the results and the feasibility of implementing such a controller.

Keywords: energy efficiency, simulation, multi-objective optimization, smart blind controller, fuzzy logic

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Publication history
Copyright

Publication history

Received: 26 May 2009
Revised: 19 August 2009
Accepted: 20 August 2009
Published: 08 September 2009
Issue date: September 2009

Copyright

© Tsinghua University Press and Springer-Verlag 2009
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