SpineOpt: A flexible open-source energy system modelling framework

Maren Ihlemann (Corresponding Author), Iasonas Kouveliotis-Lysikatos, Jiangyi Huang, Joseph Dillon, Ciara O'Dwyer, Topi Rasku, Manuel Marin, Kris Poncelet, Juha Kiviluoma

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The transition towards more sustainable energy systems poses new requirements on energy system models. New challenges include representing more uncertainties, including short-term detail in long-term planning models, allowing for more integration across energy sectors, and dealing with increased model complexities. SpineOpt is a flexible, open-source, energy system modelling framework for performing operational and planning studies, consisting of a wide spectrum of novel tools and functionalities. The most salient features of SpineOpt include a generic data structure, flexible temporal and spatial structures, a comprehensive representation of uncertainties, and model decomposition capabilities to reduce the computational complexity. These enable the implementation of highly diverse case studies. SpineOpt’s features are presented through several publicly-available applications. An illustrative case study presents the impact of different temporal resolutions and stochastic structures in a co-optimised electricity and gas network. Using a lower temporal resolution in different parts of the model leads to a lower computational time (44%–98% reductions), while the total system cost varies only slightly (-1.22–1.39%). This implies that modellers experiencing computational issues should choose a high level of temporal accuracy only when needed.
Original languageEnglish
Article number100902
Number of pages13
JournalEnergy Strategy Reviews
Volume43
DOIs
Publication statusPublished - Sep 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • open source tool
  • energy system modelling
  • energy system analysis
  • integrated energy systems
  • investment planning
  • sector coupling
  • Sector coupling
  • Energy system analysis
  • Open source tool
  • Energy system modelling
  • Integrated energy systems
  • Investment planning

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