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

Paula Donaduzzi Rigo, Carmen Brum Rosa, Graciele Rediske, Julio Cezar Mairesse Siluk and Leandro Michels
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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.

International Journal of Energy Economics and Policy, 2022, vol. 12, issue 1, 32-39

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.

Keywords: Computational Tool; Distributed Generation; Small Scale Projects; Household Systems (search for similar items in EconPapers)
JEL-codes: O Q Q4 Q42 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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