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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)

Abstract

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.

Keywords

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

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References

  1. 1.
    The Interlaboratory Working Group on Energy-Efficient and Clean-Energy: Scenarios for a Clean Energy Future: Interlaboratory Working Group on Energy-Efficient and Clean-Energy Technologies (2000)Google Scholar
  2. 2.
    Labinaz, G., Bayoumi, M.M., Rudie, K.: Modeling and Control of Hybrid Systems: A Survey. In: Proc. of the 13th Triennal World Congress, San Francisco, USA (1996)Google Scholar
  3. 3.
    Charon: Modular Specification of Hybrid Systems, http://rtg.cis.upenn.edu/mobies/charon/
  4. 4.
    Gössler, G., Sifakis, J.: Composition for Component-Based Modeling. In: de Boer, F.S., Bonsangue, M.M., Graf, S., de Roever, W.-P. (eds.) FMCO 2002. LNCS, vol. 2852, pp. 443–466. Springer, Heidelberg (2003)Google Scholar
  5. 5.
    Keppens, J., Shen, Q.: On compositional modeling. In: The Knowledge Engineering Review, pp. 157–200 (2001)Google Scholar
  6. 6.
    Booch, G., Rumbaugh, J., Jacobson, I.: The Unified Modeling Language User Guide. Addison Wesley, Reading (1998)Google Scholar
  7. 7.
    Mady, A., Boubekeur, M., Provan, G.: Compositional Model-Driven Design of Embedded Code for Energy-Efficient Buildings. In: 7th IEEE International Conference on Industrial Informatics (INDIN 2009), Cardiff, UK (2009)Google Scholar
  8. 8.
    Romer, K., Kasten, O., Mattern, F.: Middleware Challenges for Wireless Sensor Networks. In: ACM SIGMOBILE Mobile Computing and Communications Review (2002)Google Scholar
  9. 9.
    Kolokotsa, D., Pouliezos, A., Stavrakakis, G., Lazos, C.: Predictive control techniques for energy and indoor environmental quality management in buildings. In: Building and Environment (2008)Google Scholar
  10. 10.
    Marshall, A.H., McClean, S.I.: Using Coxian Phase-Type Distributions to Identify Patient Characteristics for Duration of Stay in Hospital. In: Health Care Management Science (2004)Google Scholar
  11. 11.
    Henzinger, T. A.: The theory of hybrid automata. In: Proc. 11th Annual IEEE Symposium on Logic in Computer Science (LICS 1996), pp. 278–292 (1996)Google Scholar
  12. 12.
    Dechter, R.: Constraint Processing. Morgan Kaufmann Publishers, San Francisco (2003)Google Scholar
  13. 13.
    Feldman, J., Freuder, E., Little, J.: CP-INSIDE: Embedding Constraint-Based Decision Engines in Business Applications. In: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (2009)Google Scholar
  14. 14.
    Environmental Research Institute, http://www.ucc.ie/en/ERI/

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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