Storage end effects: An evaluation of common storage modelling assumptions

Niet, Taco

doi:10.1016/j.est.2019.101050

Cited by 6 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Actually, the code has been significantly improved through the years. Several modules exist which has expanded OSeMOSYS capabilities, enhancing the representation of storage [49,50], the short-term operation of technologies [51,52], as well as the handling of uncertainties [53].…”

Section: The Osemosys Frameworkmentioning

confidence: 99%

A model-based approach to long-term energy planning: the case-study of the Turin Airport

Prussi,

Laveneziana,

Misul

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Urged by the concerns relating to climate change and the energy crises, several companies and industries have been undertaking a deeply transformation of their energy system. Energy planning, especially with a long-term perspective, has assumed a renewed importance. The traditional approaches about energy planning, typically relying on a single-project analyses and a short-term vision, appear today unsuitable for evaluating the disruptive transformation of the energy system. In this paper, we propose an energy system optimization approach, based on a detailed energy planning, and we discuss its application to an energy intensive industry: airports. In the context of the European TULIPS project, the energy system of the fellow airport of Turin was modelled in the open-source OSeMOSYS framework. The model was then validated on a set of reference years of operation of the airport. The results of the modelling exercise showed minor variations with respect to real-world data, with a percent error well below 2.5%. Having assessed the ability of the model to reproduce the behavior of the energy system, future studies will be devoted to the development of a decarbonisation roadmap for Turin Airport.

show abstract