Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11531/96218
Título : TulipaProfileFitting.jl: a Julia package for fitting renewable energy time series profiles
Autor : Tejada Arango, Diego Alejandro
Soares Siqueira, Abel
Özdemir, Özge
Morales España, German Andres
Fecha de publicación : 1-sep-2024
Resumen : 
This paper introduces the TulipaProfileFitting.jl package, a tool developed in Julia to generate renewable energy profiles that fit a given capacity factor of full load hours. It addresses the limitations of naive methods in adjusting existing profiles to match improved technology efficiency, particularly in scenarios lacking detailed weather data or technology specifications. By formulating the problem mathematically, the package provides a computationally efficient solution for creating realistic renewable energy profiles based on existing data. It ensures that the adjusted profiles realistically reflect the improvements in technology efficiency, making it an essential tool for energy modelers in analyzing future energy systems.
Descripción : Artículos en revistas
URI : https:doi.org10.1016j.softx.2024.101844
http://hdl.handle.net/11531/96218
ISSN : 2352-7110
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