A Model for Measuring the Photovoltaic Project Performance in Energy Auctions

Virginia Thomasi, Julio Cezar Mairesse Siluk, Paula Donaduzzi Rigo, Carmen Brum Rosa, Enoque Dutra Garcia, Ricardo Augusto Cassel and Carlos Fernando da Silva Ramos
Additional contact information
Virginia Thomasi: Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,
Julio Cezar Mairesse Siluk: Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,
Paula Donaduzzi Rigo: Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,
Carmen Brum Rosa: Department of Production and Systems Engineering, Federal University of Santa Maria, Santa Maria, Brazil,
Enoque Dutra Garcia: Department of Renewable Energies and Environment, Federal University of Pampa, Bag , Brazil,
Ricardo Augusto Cassel: Department of Production and Transport Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil,
Carlos Fernando da Silva Ramos: Institute of Engineering, Polytechnic of Porto (IPP), R. Dr. Ant nio Bernardino de Almeida, Porto, Portugal.

International Journal of Energy Economics and Policy, 2022, vol. 12, issue 4, 501-511

Abstract: Electricity trading occurs under different mechanisms in each country, with auctions being one of these mechanisms. Auctions are widely used to determine their remuneration in the scope of clean energy technologies, such as photovoltaics. Added to the auction process s bureaucracies and uncertainties, the competing photovoltaic project must keep its technical and economic performance maximized. Given this context, this study aimed to contribute to the competitiveness of photovoltaic plant projects in energy auctions through a performance diagnosis model to identify, measure, and analyze factors in the designing process. For this, a systematic literature review was performed to identify the factors that influence the implementation of a photovoltaic plant project; additionally, the fuzzy Delphi method was applied to examine the factors importance. An analytic hierarchy process weighted the factors, and the key performance indicators were developed based on the literature and regulation of the electric energy sector. The model was applied in a centralized photovoltaic energy generation project, which presented a performance index of 41.91%, and the sensitivity analysis and prioritization matrix comprised the post-application study of the model. Our model can help planners improve the competitiveness of photovoltaic projects in auctions by observing underperforming indicators.

Keywords: Photovoltaic project; Energy auctions; Performance index, Fuzzy Delphi, Analytic hierarchy process, Key performance indicators (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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