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Table 1 Categorised energy system modelling challenges

From: A qualitative evaluation approach for energy system modelling frameworks

Challenge Aspects Literature
Complexity Increasing sector coupling, high technical, temporal and regional resolution required, extensive input data pre-processing, extensive result data processing [2022]
Uncertainty Epistemic, aleatory, linguistic, decision, planning [23, 31, 39]
Interdisciplinary modelling Inclusion of the human dimension, energy-water-food nexus, common transdisciplinary understanding [42, 44, 54]
Scientific standards Transparency, repeatability, reproducibility, scrutiny, scientific progress [57, 58, 64, 65, 68]
Utilisation Usability, applicability, re-usability, result communication [64, 72, 74, 77]