Designed to bring together multiple data sources, models and analytical tools within a single modular environment, Spine Toolbox enables users to build transparent, reproducible and collaborative modelling workflows. Its flexible architecture supports everything from structured data management and scenario analysis to workflow orchestration, interoperability and remote execution.
Rather than presenting these capabilities in isolation, the publication – available for download on the project website at this link – demonstrates how they can be tailored to different modelling challenges through four distinct applications. Together, the case studies illustrate how the same set of features can support very different objectives, from large-scale European energy system planning and regional power system resilience to integrated water-energy modelling and web-based decision-support applications.
Across each example, Spine Toolbox adapts to the specific requirements of the modelling workflow while maintaining a consistent approach to data management, interoperability, scenario building and workflow execution. This flexibility allows researchers and practitioners to integrate heterogeneous datasets and modelling tools without compromising transparency or reproducibility.
By combining a technical overview with practical examples, the publication offers readers a comprehensive look at how Spine Toolbox can support complex modelling activities across domains and scales. It also highlights the role of open-source, interoperable tools in enabling more collaborative and efficient approaches to energy system modelling.
About Mopo
Mopo is a Horizon Europe project combining component tools producing input data to create model-ready datasets, scenario and workflow management, and medium and long-term energy system planning. The aim is to provide a user-friendly, open-source and validated set of tools to benefit decision-makers in network operation, industry and public authorities.