TY - JOUR
T1 - Classification and challenges of bottom-up energy system models - A review
AU - Prina, Matteo Giacomo
AU - Manzolini, Giampaolo
AU - Moser, David
AU - Nastasi, Benedetto
AU - Sparber, Wolfram
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Bottom-up
KW - Challenges
KW - Classification
KW - Energy planning
KW - Energy system modelling
UR - http://www.scopus.com/inward/record.url?scp=85085951638&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2020.109917
DO - 10.1016/j.rser.2020.109917
M3 - Review article
AN - SCOPUS:85085951638
VL - 129
JO - Renewable & Sustainable Energy Reviews
JF - Renewable & Sustainable Energy Reviews
SN - 1364-0321
M1 - 109917
ER -