• DocumentCode
    2915635
  • Title

    Optimal metering plan of measurement and verification for energy efficiency lighting projects

  • Author

    Xia, Xiang-Gen ; Ye, Xujiong ; Zhang, Juyong

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria, South Africa
  • fYear
    2012
  • fDate
    14-15 Nov. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The optimal metering plan that guarantees the expected measurement accuracy with the minimal metering cost is always of great interest to measurement and verification (M&V) project developers. In this paper, a metering cost minimisation model is built for the metering design of a specific M&V EE lighting project. The optimisation problem is solved and the sample sizes of each group are determined. In addition, the minimal metering cost of the sampling is decided to achieve the desired measurement accuracy of the overall project. The proposed metering cost minimisation model proves to be useful in the metering design for the M&V projects. In addition, as time goes by, the population size of each group may change. If the changes of the population size in the groups are predictable, a long-term optimal metering plan can be designed at the beginning of an M&V project by the generalised metering cost minimisation model.
  • Keywords
    energy conservation; lighting; metering; optimisation; power measurement; M&V EE lighting project; M&V project developers; energy efficiency lighting project measurement; energy efficiency lighting project verification; generalised metering cost minimisation model; long-term optimal metering plan; measurement accuracy; measurement and verification project developers; metering cost minimisation model; minimal metering cost; optimisation problem; population size; Accuracy; Energy consumption; Lighting; Minimization; Sociology; Statistics; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Effciency Convention (SAEEC), 2012 Southern African
  • Conference_Location
    Johannesburg
  • Print_ISBN
    978-1-4673-5226-0
  • Type

    conf

  • DOI
    10.1109/SAEEC.2012.6408588
  • Filename
    6408588