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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers & Chemical...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers & Chemical Engineering
Article . 2022 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Involving behavior of population in the strategic planning of integrated energy systems

Authors: Aurora de Fátima Sánchez-Bautista; José María Ponce-Ortega; Esbeydi Villicaña-García;

Involving behavior of population in the strategic planning of integrated energy systems

Abstract

Abstract This work presents a mathematical model for the strategic planning of the energy supply chain accounting for fossil fuels and biofuels. The proposed model considers the fuel extraction, production, processing, and distribution to the consumer, as well as the interaction with forest plantations to capture emissions generated in the whole process. Matching law is incorporated to predict, control and understand the situation under study. People's behavior has been included to determine their preference for deciding whether to install a refinery or a biorefinery. The decision is influenced by economic factors such as emissions taxation. The proposed approach was applied to a case study in Mexico, where the profit of the whole system, generated emissions, and jobs are considered. Results show that by implementing matching law it is possible to promote biofuels production together with fossil fuels, as well as to determine the preferences in the system.

  • BIP!
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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).
    3
    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.
    Average
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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!
3
Top 10%
Average
Average