Intelligent Hybrid Control Model for Lighting Systems Using Constraint-Based Optimisation

  • Alie El-Din Mady
  • Menouer Boubekeur
  • Gregory Provan
  • Conor Ryan
  • Kenneth N. Brown
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 73)


Lighting systems consume a considerable proportion of total energy budgets, particularly for retail and public-office applications, and hence their optimisation can save considerable amounts of energy. This paper proposes an intelligent control strategy to operate the office luminance in order to enhance user comfort and reduce energy consumption. The strategy is applied to an open office scenario, where the controller and the environments are modelled using a hybrid/multi-agent platform. The developed controller uses a constraint-based optimisation technique to compute the optimal settings.We describe the different modelling steps, including the optimisation technique, and outline the simulation results and potential energy benefits of the proposed controller.


Hybrid System Multi-agent System Building Automation Constraint- Based Optimisation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Alie El-Din Mady
    • 1
  • Menouer Boubekeur
    • 1
  • Gregory Provan
    • 1
  • Conor Ryan
    • 2
  • Kenneth N. Brown
    • 2
  1. 1.Cork Complex Systems Lab (CCSL), Computer Science DepartmentUniversity College Cork (UCC)CorkIreland
  2. 2.Cork Constraint Computation Centre (4C), Computer Science DepartmentUniversity College Cork (UCC)CorkIreland

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