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Advanced control systems engineering for energy and comfort management in a building environment--A review

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  • Dounis, A.I.
  • Caraiscos, C.

Abstract

Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes obvious that the problem of energy conservation is a multidimensional one. Scientists from a variety of fields have been working on this problem for a few decades now; however, essentially it remains an open issue. In the beginning of this article, we define the whole problem in which the topics are: energy, comfort and control. Next, we briefly present the conventional control systems in buildings and their advantages and disadvantage. We will also see how the development of intelligent control systems has improved the efficiency of control systems for the management of indoor environment including user preferences. This paper presents a survey exploring state of the art control systems in buildings. Attention will be focused on the design of agent-based intelligent control systems in building environments. In particular, this paper presents a multi-agent control system (MACS). This advanced control system is simulated using TRNSYS/MATLAB. The simulation results show that the MACS successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation.

Suggested Citation

  • Dounis, A.I. & Caraiscos, C., 2009. "Advanced control systems engineering for energy and comfort management in a building environment--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1246-1261, August.
    • Handle: RePEc:eee:rensus:v:13:y:2009:i:6-7:p:1246-1261
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    References listed on IDEAS

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    1. Dounis, A. I. & Bruant, M. & Guarracino, G. & Michel, P. & Santamouris, M., 1996. "Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings," Applied Energy, Elsevier, vol. 54(1), pages 11-28, May.
    2. Dounis, A. I. & Manolakis, D. E., 2001. "Design of a fuzzy system for living space thermal-comfort regulation," Applied Energy, Elsevier, vol. 69(2), pages 119-144, June.
    3. Mathews, E. H. & Arndt, D. C. & Piani, C. B. & van Heerden, E., 2000. "Developing cost efficient control strategies to ensure optimal energy use and sufficient indoor comfort," Applied Energy, Elsevier, vol. 66(2), pages 135-159, June.
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