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A methodology for quantitative comparison of control solutions and its application to HVAC (heating, ventilation and air conditioning) systems

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  • Macek, Karel
  • Mařík, Karel

Abstract

Many control solutions are currently available for controlling energy system operations. Newly developed solutions for established systems are assumed to demonstrate improvement over previous solutions especially in cost savings. We have found this to be true in the area of HVAC (heating, ventilation, and air conditioning) systems. This paper provides a useful methodology for quantitative comparison of control solutions with respect to operational costs, achieved quality of control, and external conditions that could also play important roles.

Suggested Citation

  • Macek, Karel & Mařík, Karel, 2012. "A methodology for quantitative comparison of control solutions and its application to HVAC (heating, ventilation and air conditioning) systems," Energy, Elsevier, vol. 44(1), pages 117-125.
    • Handle: RePEc:eee:energy:v:44:y:2012:i:1:p:117-125
    DOI: 10.1016/j.energy.2012.02.014
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    References listed on IDEAS

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    Cited by:

    1. Khan, Muhammad Waqas & Choudhry, Mohammad Ahmad & Zeeshan, Muhammad & Ali, Ahsan, 2015. "Adaptive fuzzy multivariable controller design based on genetic algorithm for an air handling unit," Energy, Elsevier, vol. 81(C), pages 477-488.
    2. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    3. Cheng, Wen-Long & Yuan, Xu-Dong, 2013. "Numerical analysis of a novel household refrigerator with shape-stabilized PCM (phase change material) heat storage condensers," Energy, Elsevier, vol. 59(C), pages 265-276.

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