Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran

Fatemeh Mostashari-Rad; Ashkan Nabavi-Pelesaraei; Farshad Soheilifard; Fatemeh Hosseini-Fashami; Kwok wing Chau

doi:10.1016/j.energy.2019.07.175

Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran

Fatemeh Mostashari-Rad, Ashkan Nabavi-Pelesaraei, Farshad Soheilifard, Fatemeh Hosseini-Fashami, Kwok wing Chau

Research output: Journal article publication › Journal article › Academic research › peer-review

90 Citations (Scopus)

Abstract

The objective of this study is to comprehensively optimize energy usage and determine mitigation of greenhouse gas (GHG) emissions in agricultural and horticultural crops of Guilan Province, Iran. For this purpose, required data are collected from eggplant, garlic, tea, hazelnut, kiwifruit and tangerine producers through questionnaires. In this study, GHG emissions are investigated under both On-Farm and Off-Farm sectors. Data envelopment analysis method is employed for the optimization of GHG emissions and energy flow. The highest and lowest energy consumption are related to tea and kiwifruit production, respectively. Results show that kiwifruit and eggplant have the highest scores in technical efficiency whilst tangerine and tea have the highest values in pure technical efficiency. The largest amount of energy is saved in kiwifruit orchards with 8316.29 MJ ha⁻¹. Nitrogen fertilizer and diesel fuel have the topmost energy saving potential in most crops. Kiwifruit orchards have the highest potential for mitigation of GHG gas emissions (520.79 kg CO_{2 eq}. ha⁻¹). Results show that an appropriate usage of nitrogen fertilizer and replacement by organic fertilizer will mitigate GHG emissions as well as energy consumption. It can be concluded that GHG emissions can be mitigated by energy optimization in all the studied crops.

Original language	English
Article number	115845
Journal	Energy
Volume	186
DOIs	https://doi.org/10.1016/j.energy.2019.07.175
Publication status	Published - 1 Nov 2019

Keywords

Crop
Data envelopment analysis
Energy
Greenhouse gas emission
Optimization

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction
Pollution
Mechanical Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.energy.2019.07.175

Cite this

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title = "Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran",

abstract = "The objective of this study is to comprehensively optimize energy usage and determine mitigation of greenhouse gas (GHG) emissions in agricultural and horticultural crops of Guilan Province, Iran. For this purpose, required data are collected from eggplant, garlic, tea, hazelnut, kiwifruit and tangerine producers through questionnaires. In this study, GHG emissions are investigated under both On-Farm and Off-Farm sectors. Data envelopment analysis method is employed for the optimization of GHG emissions and energy flow. The highest and lowest energy consumption are related to tea and kiwifruit production, respectively. Results show that kiwifruit and eggplant have the highest scores in technical efficiency whilst tangerine and tea have the highest values in pure technical efficiency. The largest amount of energy is saved in kiwifruit orchards with 8316.29 MJ ha−1. Nitrogen fertilizer and diesel fuel have the topmost energy saving potential in most crops. Kiwifruit orchards have the highest potential for mitigation of GHG gas emissions (520.79 kg CO2 eq. ha−1). Results show that an appropriate usage of nitrogen fertilizer and replacement by organic fertilizer will mitigate GHG emissions as well as energy consumption. It can be concluded that GHG emissions can be mitigated by energy optimization in all the studied crops.",

keywords = "Crop, Data envelopment analysis, Energy, Greenhouse gas emission, Optimization",

author = "Fatemeh Mostashari-Rad and Ashkan Nabavi-Pelesaraei and Farshad Soheilifard and Fatemeh Hosseini-Fashami and Chau, {Kwok wing}",

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AU - Mostashari-Rad, Fatemeh

AU - Nabavi-Pelesaraei, Ashkan

AU - Soheilifard, Farshad

AU - Hosseini-Fashami, Fatemeh

AU - Chau, Kwok wing

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AB - The objective of this study is to comprehensively optimize energy usage and determine mitigation of greenhouse gas (GHG) emissions in agricultural and horticultural crops of Guilan Province, Iran. For this purpose, required data are collected from eggplant, garlic, tea, hazelnut, kiwifruit and tangerine producers through questionnaires. In this study, GHG emissions are investigated under both On-Farm and Off-Farm sectors. Data envelopment analysis method is employed for the optimization of GHG emissions and energy flow. The highest and lowest energy consumption are related to tea and kiwifruit production, respectively. Results show that kiwifruit and eggplant have the highest scores in technical efficiency whilst tangerine and tea have the highest values in pure technical efficiency. The largest amount of energy is saved in kiwifruit orchards with 8316.29 MJ ha−1. Nitrogen fertilizer and diesel fuel have the topmost energy saving potential in most crops. Kiwifruit orchards have the highest potential for mitigation of GHG gas emissions (520.79 kg CO2 eq. ha−1). Results show that an appropriate usage of nitrogen fertilizer and replacement by organic fertilizer will mitigate GHG emissions as well as energy consumption. It can be concluded that GHG emissions can be mitigated by energy optimization in all the studied crops.

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KW - Data envelopment analysis

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KW - Greenhouse gas emission

KW - Optimization

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Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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