Physics

Top-down and bottom-up design

Energy (signal processing)

Pure mathematics

Mathematics

Operations research

Term (time)

Data mining

Statistics

Matrix (chemical analysis)

Resolution (logic)

Software engineering

Engineering

Industrial engineering

Artificial intelligence

Composite material

Materials science

Data science

Computer science

Quantum mechanics

Field (mathematics)

Renewable and Sustainable Energy Reviews

This paper reviews the classification schemes used for bottom-up energy system modelling and proposes a novel one as re-elaboration of the previous schemes. Moreover, this paper identifies that the main challenges of this research field rotate around the concept of resolution. A matrix of challenges in which four main fields are identified: resolution in time, in space, in techno-economic detail and in sector-coupling. These main fields are divided into different levels of resolution: low, medium and high. The use of a low resolution introduces errors in the modelling as demonstrated by different studies. Several existing bottom-up energy system models are reviewed in order to classify them according to the proposed approach and map them through the proposed matrix. 13 different models are analyzed in the category of bottom-up short-term and 9 as bottom-up long-term energy system models. The following mapping shows how several models reach a high level of resolution in one or more than one area. However, the ultimate challenge is the simultaneous achievement of high resolution in all these fields. The literature review has shown how this final aim is not reached by any model at the current stage and it highlights the gap and weaknesses of this branch of research and the direction versus which is important to work to improve this type of modelling.

Classification and challenges of bottom-up energy system models - A review