TulipaProfileFitting.jl
A Julia package for fitting renewable energy time series profiles
Diego A. Tejada-Arango (Universidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería, Instituto de Investigación Tecnológica, TNO Energy and Materials Transition)
Abel S. Soares Siqueira (The Netherlands eScience Center)
Özge Özdemir (Planbureau voor de Leefomgeving)
Germán Morales-Espana (TNO Energy and Materials Transition, TU Delft - Algorithmics)
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Abstract
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.
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