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Energy-saving estimation model for hypermarket HVAC systems applications

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  • معلومة اضافية
    • Publisher Information:
      Elsevier Science Sa, Lausanne 2011
    • نبذة مختصرة :
      Energy saving estimation model (ESEM) use normal distribution (Gaussian) probability theory to predict potential savings for previously determined system improvements. Those improvements are low/high cost investments based on data gathered during one year monitoring of typical hypermarket facility HVAC system. The consumption of electrical energy and natural gas has been monitored and system segments with largest amount of energy consumption have been marked. Gathered data pointed out to fan units as the biggest energy consumers and suggested that system energy-saving improvement must be focused on fans energy consumption control. This paper deals with ESEM inputs and outputs in order to provide correct financial estimation of specific investment.
    • الموضوع:
      Hypermarket energy consumption; HVAC optimization; Gaussian; Estimation model; Cost-effectiveness; article
    • Availability:
      Open access content. Open access content
      ARR
      restrictedAccess
    • Note:
      Energy and Buildings
    • Other Numbers:
      RSPST oai:machinery.mas.bg.ac.rs:123456789/1198
      0378-7788
      10.1016/j.enbuild.2011.08.035
      2-s2.0-80755132258
      000298268600008
      1368244952
    • Contributing Source:
      UIVERSITY OF BELGRADE
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1368244952
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