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Knowledge-based versus classical control for solar-building designs

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  • Dounis, A. I.
  • Lefas, C. C.
  • Argiriou, A.

Abstract

The present paper compares classical control systems with knowledge-based systems in the control of building designs to achieved comfort conditions. Initially the goal has been the minimization of energy usage. For this target, thermostats and PID controllers have been employed. Adaptive and ad hoc first-generation controller implemented for the improvement of specific problems are described next. The achievement of thermal and visual comfort conditions within living and working space fits the application of fuzzy logic expert systems. The structure of a fuzzy control system is described. This paper also discusses the capabilities of the fuzzy logic expert system in the achievement of optimal resource management in passive-building designs.

Suggested Citation

  • Dounis, A. I. & Lefas, C. C. & Argiriou, A., 1995. "Knowledge-based versus classical control for solar-building designs," Applied Energy, Elsevier, vol. 50(4), pages 281-292.
    • Handle: RePEc:eee:appene:v:50:y:1995:i:4:p:281-292
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    References listed on IDEAS

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    1. Dounis, A.I. & Santamouris, M.J. & Lefas, C.C. & Manolakis, D.E., 1994. "Thermal-comfort degradation by a visual comfort fuzzy-reasoning machine under natural ventilation," Applied Energy, Elsevier, vol. 48(2), pages 115-130.
    2. Santamouris, M.J. & Lefas, C.C., 1986. "Design and control of hybrid solar houses using microcomputers," Energy, Elsevier, vol. 11(7), pages 709-716.
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    Cited by:

    1. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.
    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. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.

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    1. 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.
    2. 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.

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