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A Software Application to Support Decision-making in Small-scale Photovoltaic Projects

Author

Listed:
  • Paula Donaduzzi Rigo

    (Federal University of Santa Maria, Santa Maria, Brazil.)

  • Carmen Brum Rosa

    (Federal University of Santa Maria, Santa Maria, Brazil.)

  • Graciele Rediske

    (Federal University of Santa Maria, Santa Maria, Brazil.)

  • Julio Cezar Mairesse Siluk

    (Federal University of Santa Maria, Santa Maria, Brazil.)

  • Leandro Michels

    (Federal University of Santa Maria, Santa Maria, Brazil.)

Abstract

Electricity generation through photovoltaic technology is the fastest growing in the world. Due to its linear power growth characteristic, small-scale generation on grid is common in several countries. In Brazil, in the context of this study, the small-scale solar PV exponentially grows since the implementation of the Distributed Generation market regulation in 2012. Several installer companies have emerged in the country and many residential, commercial and industrial investors are eager to invest in photovoltaic systems. As much as all installers offer the integration of a photovoltaic system, several peculiarities in service and quality are perceived by customers, which makes their decision difficult. So, the aim of this study is to present a software application to support decision-making in small-scale photovoltaic projects. The modelling and application are presented through a case study with an investor who needed to choose between four projects to invest. With the software application use, the investor can reflect on his preferences and changes in the project to improve his satisfaction. Besides, he can compare different projects budgeted by installers, helping in the decision-making process. In the case study, it was possible to see the difference between the four budgets and choose the one that best met the investor s expectations.

Suggested Citation

  • Paula Donaduzzi Rigo & Carmen Brum Rosa & Graciele Rediske & Julio Cezar Mairesse Siluk & Leandro Michels, 2022. "A Software Application to Support Decision-making in Small-scale Photovoltaic Projects," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 32-39.
    • Handle: RePEc:eco:journ2:2022-01-5
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    References listed on IDEAS

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    Cited by:

    1. Virginia Thomasi & Julio Cezar Mairesse Siluk & Paula Donaduzzi Rigo & Carmen Brum Rosa & Enoque Dutra Garcia & Ricardo Augusto Cassel & Carlos Fernando da Silva Ramos, 2022. "A Model for Measuring the Photovoltaic Project Performance in Energy Auctions," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 501-511, July.

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    More about this item

    Keywords

    Computational Tool; Distributed Generation; Small Scale Projects; Household Systems;
    All these keywords.

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • O - Economic Development, Innovation, Technological Change, and Growth

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