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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 Energyarrow_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
Energy
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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System dynamics model analysis of pathway to 4th generation district heating in Latvia

Authors: Jelena Ziemele; Andra Blumberga; Dagnija Blumberga; Armands Gravelsins; Girts Vigants;

System dynamics model analysis of pathway to 4th generation district heating in Latvia

Abstract

Abstract In the article, a possibility to introduce the 4th generation district heating (4GDH) in Latvia is analyzed with the system dynamic modeling. Three policy instruments were included into the system dynamic model: subsidies, instrument for risk reduction and instrument for efficiency increase, and their impact on the system operation was analyzed. Six development scenarios are examined in the article, two of which are supplemented with the transition of heat network to the low-temperature regime at a different share of the renewable energy (60%, 80%, 95%). The heat tariff was used as the main indicator determining the pace and structure of the technology change. In the model the existing natural gas technology was included and three technologies of the renewable energy – biomass combustion equipment, solar collectors with the accumulation and heat pumps. Results of the modeling shows that scenario, at which no policy instruments are used, reduce CO2 emissions for 58.6% until 2030; but it is possible to achieve a zero emission level, in case political instruments are used.

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    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%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
60
Top 10%
Top 10%
Top 10%