energymodel.ing — on modeling, energy systems, and other things.
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The paper by Kotzur, Markewitz, Robinius, and Stolten is amongst the most cited ones regarding the simplification of ESOMs, by reducing their temporal resolution. Existing open-source ESOMs, like Calliope or PyPSA, build upon their proposed formulations1. Refer to “the art of temporal gymnastics”, which contains further thoughts (and links) related to similar approaches. Kotzur, L., Markewitz, P., Robinius, M., & Stolten, D. (2018). Time series aggregation for energy system design: Modeling seasonal storage. Applied Energy, 213, 123-135. doi.org/10.1016/j.apenergy.2018.01.023 ↩︎ ...
Solving large-scale ESOMs can be hard, time-consuming, both, or neither. Often researchers resort to changing the temporal structure — bending complex-looking formulations like a mathematical gymnast. Let’s delve into some of their moves. Literature The following entries of my paper digest discuss related works: On seasonal storages Other papers that might be of interest: to be added