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Energy
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Energy-economic life cycle assessment (LCA) and greenhouse gas emissions analysis of olive oil production in Iran

Authors: Mohammad Ali Rajaeifar; Barat Ghobadian; Shahin Rafiee; Asadolah Akram; Mohammad Davoud Heidari;

Energy-economic life cycle assessment (LCA) and greenhouse gas emissions analysis of olive oil production in Iran

Abstract

Abstract In this study the energy and economic flows and greenhouse gas (GHG) emissions of olive oil production in Iran were investigated in terms of a life cycle assessment with considering four main stages of agricultural olive production, olive transportation, olive oil extraction and its oil transportation to the customer centers. Data was collected from 150 olive growers in Guilan province of Iran. Results revealed that the total energy consumption through the olive oil life cycle was 20 344 MJ ha −1 while the mass-based allocation method results indicated that the total energy consumption was 8035 MJ ha −1 . The total energy output was estimated as 23 568 MJ ha −1 . The total GHG emissions was estimated to 1333 kg ha −1 (CO 2 eq) while the mass-based allocation method results indicated that the total GHG emissions was 525 kg ha −1 (CO 2 eq). The agricultural production stage ranked the first in GHG emissions among the four stages with the share of 93.81% of total GHG emissions. Results of econometric model estimation revealed that the impact of human labor, farmyard manure and electricity on olive oil yield and the impact of electricity and chemical fertilizers on GHG emissions were significantly positive.

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United Kingdom
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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!
99
Top 1%
Top 10%
Top 10%