Este proyecto pretende desarrollar una estructura computacional para el optimizar el Costo Nivelado de Energía (LCoE) de diferentes alternativas energéticas renovables en ZNI. La validación de los modelos computacionales de esta herramienta se hará utilizando datos suministros por el IPSE.
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State of the art of models for LCOE calculation
State of the art of models for LCOE calculation
Oct 15, 2024
Colmenares Quintero, Ramón Fernando; Villar Villar, Salvador, 2024, "State of the art of models for LCOE calculation", https://doi.org/10.57924/HFWH4V, Papyrus, V1
Literature review in academic and government databases to characterize the models for calculating the Levelized Cost of Electricity (LCOE)
Estado del arte LCOE.pdf
Estado del arte LCOE.pdf
Oct 15, 2024 - State of the art of models for LCOE calculation
Adobe PDF - 466.8 KB - MD5: 21fa7ac838b96c89ed9cecf6d936027d
Plan de gestión de datos.pdf
Plan de gestión de datos.pdf
Oct 15, 2024 - State of the art of models for LCOE calculation
Adobe PDF - 161.9 KB - MD5: 801130aa7eb6b5691a8d4d64c6411ab3
Development report
Development report
Oct 15, 2024
Colmenares Quintero, Ramón Fernando; Villar Villar, Salvador, 2024, "Development report", https://doi.org/10.57924/K6DDD4, Papyrus, V1
Report on requirements, architecture and validation of the developed computational model.
Informe de desarrollo.pdf
Informe de desarrollo.pdf
Oct 15, 2024 - Development report
Adobe PDF - 334.6 KB - MD5: 4892838da0809faff64dfef0c8c35a5f
Plan de gestión de datos.pdf
Plan de gestión de datos.pdf
Oct 15, 2024 - Development report
Adobe PDF - 161.9 KB - MD5: 801130aa7eb6b5691a8d4d64c6411ab3
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