<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Decomposition Analysis of District Heating System based on Complemented Kaya Identity

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Aug 2015Publisher:Elsevier BVJournal:Energy Procedia, volume 75, pages 1,229-1,234 (issn: 1876-6102,

Authors: Jelena Ziemele; Armands Gravelsins; Dagnija Blumberga;

doi: 10.1016/j.egypro.2015.07.164

Decomposition Analysis of District Heating System based on Complemented Kaya Identity

- Summary
- Subjects
- Metrics

Abstract

AbstractThe paper analyses possibilities for CO2 emission reduction into the centralized district heating system by using the index decomposition analysis: Kaya identity equation. The classical Kaya equation is complemented with an energy efficiency indicator of a district heating system. The paper focuses on the impact of the Kaya equation components on the CO2 emission reduction. The elaborated methodology is tested in order to analyze possibilities for CO2 emission reduction at district heating systems in Latvia. 3 scenarios were formed for the forecast of the CO2 emission reduction. In case the current model for the state development is continued (scenario1) CO2 emissions will be reduced for 13%; however, in the scenario of orderly and balanced DH systems they will reduce for 29% by 2020 as compared to 2012.

Related Organizations

Riga Technical University
Latvia
"RIGAS TEHNISKA UNIVERSITATE
Latvia

Keywords

Kaya identity, renewable energy, Energy(all), decomposition analysis, energy efficiency, district heating

Impact byBIP!

	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).	7
	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.	Average
	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