• DocumentCode
    133629
  • Title

    Fuzzy logic simulator for energy management algorithms testing

  • Author

    Ciabattoni, Lucio ; Grisostomi, Massimo ; Ippoliti, Gianluca ; Longhi, Sauro ; Bonci, Alessio

  • Author_Institution
    Inf. Eng. Dept., Univ.´ Politec. delle Marche, Ancona, Italy
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    During July 2013 the Italian government definitively cut financial incentives for photovoltaic (PV) plants, leaving only tax benefits and a revised net metering scheme (known as “Scambio sul Posto”) for new PV installations. In this scenario, the design of a new PV plant ensuring savings on electricity bills is strongly related to household electricity consumption patterns. This paper introduces a novel Fuzzy approach to correctly size a residential PV plant and simulate the effects of energy management techniques in a case study. A cost benefits analysis is presented to quantify its effectiveness in the new net metering Italian scenario.
  • Keywords
    building integrated photovoltaics; cost-benefit analysis; energy management systems; fuzzy set theory; metering; power generation economics; Italian government; PV installations; Scambio sul Posto; cost benefits analysis; electricity bills; energy management algorithms testing; financial incentives; fuzzy logic simulator; photovoltaic plants; residential PV plant; revised net metering scheme; tax benefits; Electricity; Energy management; Government; Home appliances; Investment; Load modeling; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
  • Conference_Location
    Senigallia
  • Print_ISBN
    978-1-4799-2772-2
  • Type

    conf

  • DOI
    10.1109/MESA.2014.6935599
  • Filename
    6935599