Título:
Design optimization for large-scale solar photovoltaic power plants in Uruguay.
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Autor:
Bruno, Rafael
Risso, Claudio
Alonso-Suárez, Rodrigo
Risso, Claudio
Alonso-Suárez, Rodrigo
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Tipo de documento:
Preprint
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Palabras clave:
PV power plant
Optimization
NPV
Uruguay
Optimization
NPV
Uruguay
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Año de publicación:
2024
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Resumen:
This article focuses on maximizing the relative net present value of a photovoltaic power plant by applying optimization techniques to its design. The case study refers to a 50 MW (AC) plant with parameters specific to the
northwestern region of Uruguay. Test scenarios are created by exploring variations in energy prices, contract duration, DC cable costs, project discount rate, among others. The control variables include the tilt of the photovoltaic panels, the number of series and parallel connections, the number of rows and columns of photovoltaic blocks in the sub-park, the distance between the rows, and the ratio of the DC power of
the photovoltaic panels to the nominal AC power of the plant. According to the experimental results, the optimized relative net present value ranges from 1.37 to 1.39, with optimized capacity factors around 24%.
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Citación:
Bruno, R., Risso, C. y Alonso-Suárez, R. Design optimization for large-scale solar photovoltaic power plants in Uruguay [Preprint] Publicado en: Proceedings 2024 IEEE URUCON, 18-20 Nov. 2024, Montevideo, Uruguay. DOI: 10.1109/URUCON63440.2024.10850150.
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Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| BRA24.pdf | Preprint | 1.13 MB | Adobe PDF |