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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

[20–22]

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]