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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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    1. Cheng, Wen-Long & Mei, Bao-Jun & Liu, Yi-Ning & Huang, Yong-Hua & Yuan, Xu-Dong, 2011. "A novel household refrigerator with shape-stabilized PCM (Phase Change Material) heat storage condensers: An experimental investigation," Energy, Elsevier, vol. 36(10), pages 5797-5804.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Tina, G.M. & Passarello, G., 2012. "Short-term scheduling of industrial cogeneration systems for annual revenue maximisation," Energy, Elsevier, vol. 42(1), pages 46-56.
    4. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    5. Mařík, Karel & Schindler, Zdenek & Stluka, Petr, 2008. "Decision support tools for advanced energy management," Energy, Elsevier, vol. 33(6), pages 858-873.
    6. Chen, Wen-Chih & McGinnis, Leon F., 2007. "Reconciling ratio analysis and DEA as performance assessment tools," European Journal of Operational Research, Elsevier, vol. 178(1), pages 277-291, April.
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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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