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Article . 2022 . Peer-reviewed
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Benopt-Heat: An economic optimization model to identify robust bioenergy technologies for the German heat transition

Authors: Matthias Jordan; Markus Millinger; Daniela Thrän;

Benopt-Heat: An economic optimization model to identify robust bioenergy technologies for the German heat transition

Abstract

Several energy system optimization models are used to identify solutions for the German energy transition. Most of them lack of detail in regard to the representation of the heterogeneous heat sector and the manifold bioenergy options. Benopt-Heat closes the gap and several research questions related to the future use of bioenergy in the German heat sector could be addressed. Based on the model results and novel methods to address uncertainty, policy insights with a high level of detail and confidence are generated. This software publication provides a basis to further investigate the manifold identified research questions in this field.

Keywords

Optimization, QA76.75-76.765, Heat sector, Bioenergy, Uncertainty assessment, Computer software

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    citations
    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).
    8
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    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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citations
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!
8
Top 10%
Average
Top 10%
gold