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Modelling the energy transition: A nexus of energy system and economic models

Authors: Crespo del Granado, Pedro; van Nieuwkoop, Renger H.; Kardakos, Evangelos G.; Schaffner, Christian;

Modelling the energy transition: A nexus of energy system and economic models

Abstract

Climate change induced policies impose wide-ranging implications throughout the whole energy system and influence various sectors of the economy. To analyse different decarbonization pathways for the energy system, existing models have traditionally focused on specific energy sectors, adopted specific research perspectives, assessed only certain technologies, or studied isolated components and factors of the energy system. However, few efforts have been undertaken to successfully model a broader picture of the energy-economic system. In this conceptual paper, we propose linking top-down and bottom-up models to represent: distributed generation and demand, operations of electricity grids, infrastructure investments and generation dispatch, and macroeconomicinteractions. We review existing work on modelling the different dimensions of the energy transition to understand why models tend to focus on certain features or parts of the energy system. We then discuss methodologies for linking different type of models. We describe our integrated modelling framework, and the challenges and opportunities on linking models based on their capabilities and limitations.

Keywords

Bottom-up/top-down methodologies, Energy-economic system, Linking energy models, Review, Energy transition

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    98
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
98
Top 1%
Top 10%
Top 10%
Green
gold