SpineOpt is an integrated energy systems optimisation tool designed for a wide range of modelling purposes. Its data-driven structure allows for highly customisable energy system descriptions and flexible temporal and stochastic structures, without altering the source code. Based on mixed-integer linear programming (MILP), it is a valuable tool for researchers, policymakers and energy planners aiming to model and optimise energy systems in a dynamic and uncertain environment.
This medium-level tutorial focuses on the operational optimisation capabilities of SpineOpt. Building on the simple system introduced in the earlier session of 5 May 2026, we will progressively add features and inspect how each one changes the model’s output. In particular, the session will explore SpineOpt features such as reserve requirements, ramping constraints and unit commitment tutorials in the SpineOpt documentation. We will have a look into more advanced aspects such as temporal resolution, rolling horizon and stochastic structure.
Speaker: Topi Rasku, VTT
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Photo by Kashifa Sharif on Unsplash