Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology

This paper presents a study that analyses the effect of financing costs on grid parity in photovoltaic (PV) installations by applying a probabilistic methodology. Three different case studies, located in Spain, have been considered, with 500 kW, 50 kW and 5 kW grid-connected PV generators. The techn...

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Main Authors: Carlos J. Sarasa-Maestro, Rodolfo Dufo-López, José L. Bernal-Agustín
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/3/425
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spelling doaj-e78c2cb194e74837aa1808683c2e18e22020-11-24T20:47:25ZengMDPI AGApplied Sciences2076-34172019-01-019342510.3390/app9030425app9030425Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic MethodologyCarlos J. Sarasa-Maestro0Rodolfo Dufo-López1José L. Bernal-Agustín2Department of Electrical Engineering, University of Zaragoza, Calle María de Luna, 3, 50018 Zaragoza, SpainDepartment of Electrical Engineering, University of Zaragoza, Calle María de Luna, 3, 50018 Zaragoza, SpainDepartment of Electrical Engineering, University of Zaragoza, Calle María de Luna, 3, 50018 Zaragoza, SpainThis paper presents a study that analyses the effect of financing costs on grid parity in photovoltaic (PV) installations by applying a probabilistic methodology. Three different case studies, located in Spain, have been considered, with 500 kW, 50 kW and 5 kW grid-connected PV generators. The technical and economic calculations were performed, considering the interest rate, yield across the Spanish geography, and PV module cost as parameters. The Monte Carlo method was applied to consider the full probabilistic range of values given to the different variables. The goal of this study was to determine, for the studied cases, the levelised cost of energy (LCOE) and the internal rate of return by considering realistic values of the variables. A success rate parameter was calculated, which determined the likelihood of the number of times that the LCOE was below the retail cost of electricity. All the cases were evaluated by applying 10,000 iterations, considering the standard deviations and means defined.https://www.mdpi.com/2076-3417/9/3/425photovoltaic (PV) tariffsremuneration policiesgrid parity
collection DOAJ
language English
format Article
sources DOAJ
author Carlos J. Sarasa-Maestro
Rodolfo Dufo-López
José L. Bernal-Agustín
spellingShingle Carlos J. Sarasa-Maestro
Rodolfo Dufo-López
José L. Bernal-Agustín
Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
Applied Sciences
photovoltaic (PV) tariffs
remuneration policies
grid parity
author_facet Carlos J. Sarasa-Maestro
Rodolfo Dufo-López
José L. Bernal-Agustín
author_sort Carlos J. Sarasa-Maestro
title Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
title_short Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
title_full Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
title_fullStr Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
title_full_unstemmed Evaluating the Effect of Financing Costs on PV Grid Parity by Applying a Probabilistic Methodology
title_sort evaluating the effect of financing costs on pv grid parity by applying a probabilistic methodology
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-01-01
description This paper presents a study that analyses the effect of financing costs on grid parity in photovoltaic (PV) installations by applying a probabilistic methodology. Three different case studies, located in Spain, have been considered, with 500 kW, 50 kW and 5 kW grid-connected PV generators. The technical and economic calculations were performed, considering the interest rate, yield across the Spanish geography, and PV module cost as parameters. The Monte Carlo method was applied to consider the full probabilistic range of values given to the different variables. The goal of this study was to determine, for the studied cases, the levelised cost of energy (LCOE) and the internal rate of return by considering realistic values of the variables. A success rate parameter was calculated, which determined the likelihood of the number of times that the LCOE was below the retail cost of electricity. All the cases were evaluated by applying 10,000 iterations, considering the standard deviations and means defined.
topic photovoltaic (PV) tariffs
remuneration policies
grid parity
url https://www.mdpi.com/2076-3417/9/3/425
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