As Europe moves towards climate neutrality, energy planners, policymakers, and researchers face the challenge of building future energy systems that integrate renewables, hydrogen, storage, and cross-sector solutions. SpineOpt offers a flexible, data-driven modelling framework to explore these complex interactions and provide insights into efficient investment pathways.
The Mopo info-pack is available for download on the project website at this link. The brief shows how SpineOpt can be applied in both real-world and theoretical use cases:
- Spine H2-IRL: Seven real-world energy scenarios assess the role of hydrogen infrastructure, storage, and renewables in achieving net-zero constraints. They do this by comparing business-as-usual pathways with the use of alternative technologies in Ireland’s energy transition.
- Offshore infrastructure study: Five transition scenarios for an oil and gas (O&G) platform explore options such as electrification, integration of offshore wind, and repurposing for blue and green hydrogen production.
Beyond case studies, the info-pack highlights SpineOpt’s features: flexible temporal and stochastic structures, multi-stage optimisation, investment pathway analysis, and built-in algorithms for handling uncertainty and near-optimal solutions. These functionalities allow users to model complex systems in detail, while keeping the approach adaptable to evolving energy challenges.
SpineOpt is a flexible toolkit that helps address challenges in the energy transition. This info-pack shows how open science can be combined with practical applications to support better decisions for Europe’s energy future.
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.
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