• Title of article

    A model for optimal sizing of photovoltaic irrigation water pumping systems

  • Author/Authors

    Zvonimir Glasnovic and Jure Margeta ، نويسنده , , *، نويسنده , , Jure Margeta b، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2007
  • Pages
    13
  • From page
    904
  • To page
    916
  • Abstract
    The previous methods for optimal sizing of photovoltaic (PV) irrigation water pumping systems separately considered the demand for hydraulic energy and possibilities of its production from available solar energy with the PV pumping system. Unlike such methods, this work approaches the subject problem systematically, meaning that all relevant system elements and their characteristics have been analyzed: PV water pumping system, local climate, boreholes, soil, crops and method of irrigation; therefore, the objective function has been defined in an entirely new manner. The result of such approach is the new mathematical hybrid simulation optimization model for optimal sizing of PV irrigation water pumping systems, that uses dynamic programming for optimizing, while the constraints were defined by the simulation model. The model was tested on two areas in Croatia, and it has been established that this model successfully takes into consideration all characteristic values and their relations in the integrated system. The optimal nominal electric power of PV generator, obtained in the manner presented, are relatively smaller than when the usual method of sizing is used. The presented method for solving the problem has paved the way towards the general model for optimal sizing of all stand-alone PV systems that have some type of energy storage, as well as optimal sizing of PV power plant that functions together with the storage hydroelectric power plant. 2006 Elsevier Ltd. All rights reserved
  • Keywords
    Dynamic Programming , PV generator , Irrigation , Photovoltaic pumping , Optimal sizing
  • Journal title
    Solar Energy
  • Serial Year
    2007
  • Journal title
    Solar Energy
  • Record number

    939828