Contribution type: Lightening talk and Poster
Bringing a Baltic energy system model into SpineOpt
Presenter: Kārlis Baltputnis
Description:
This contribution presents the Baltic case study of the Mopo project. After disconnecting from the BRELL ring and synchronising with Continental Europe in February 2025, the Baltic energy system must balance itself independently while integrating a growing share of variable renewable generation. The case study examines large-scale wind integration under spatial constraints, including military-related development restrictions in selected regions. Wind and solar time series are simulated at sub-national and sub-hourly resolution to capture the intermittency patterns relevant for planning in each Baltic country.
An existing Baltic energy system model, originally developed in the open source Backbone framework, is translated via Spine Toolbox into the INES data specification and then converted into a SpineOpt model. Alongside the translation, the model content is substantially updated to reflect the current state and planned development of the Baltic energy system, and new high-resolution renewable generation data from CorRES is incorporated. The contribution covers the modelling workflow, the translation experience, scenario results for regional wind integration including the role of storage in balancing and reserve provision, and lessons learned on interoperability.
Background:
Mopo is a Horizon Europe project developing an open-source, validated toolset for energy system modelling, combining component tools for creating model-ready datasets with tools for scenario and workflow management and long-term planning. The Baltic case study, led by Riga Technical University, serves as a practical test of the INES specification as a translation layer between independently developed modelling frameworks.
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