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Pure Utrecht University
Doctoral thesis . 2021
License: CC BY ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.33540/722...
Doctoral thesis . 2021 . Peer-reviewed
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From baselines to deep reductions, Improving the modeling of industrial energy demand

Authors: Kermeli, Katerina;

From baselines to deep reductions, Improving the modeling of industrial energy demand

Abstract

Despite past energy efficiency improvements and decarbonization efforts, the industrial sector is still responsible for 40% of global energy consumption and more than 43% of global CO2 emissions. It is shown that the role of energy efficiency in combination with increased recycling will be key in reducing industrial energy demand, achieving reductions of approximately one quarter by 2050. But how is the industrial sector represented in most long-term energy models, models widely used for policy assessment and for evaluating different decarbonization pathways? Not in adequate detail, as it is found that very few models capture industrial details while many represent the industrial sector as a whole. But even the more industry detailed energy models could profit by adding knowledge on key areas from bottom-up industry analysis and material flow analysis and improve their projections. Improvements assessed include the energy efficiency and material efficiency options, industry inter-linkages, and change in the approaches used for material demand projections. Results have pointed that i) cost-effective energy efficiency measures do exist, but they are commonly overlooked by models, ii) policies in one sector impact the CO2 emissions in another sector (e.g., the facing out of coal-fired power plants will limit the generation of by-products used for CO2 reduction in the cement industry) and, iii) demand projections can be drastically different when results from material flow analysis are used instead of the simplified and widely used approach of relating historical trends between economic activity and consumption levels.

Country
Netherlands
Related Organizations
Keywords

cement, industry, energy models, aluminium, energy modelling, energy savings, IAMs, industry, energy efficiency, energy savings, aluminium, cement, energy models, IAMs, energy modelling, energy efficiency

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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!
0
Average
Average
Average
Green