Determining cropping patterns with emphasis on optimal energy consumption using LCA and multi-objective planning: a case study in eastern Lorestan Province, Iran

The evaluation of energy efficiency is a key principle in agroecosystem management. In this article, the optimal cropping pattern of irrigated and rainfed lands in the eastern Lorestan province is proposed using multi-objective nonlinear programming (MOP) to maximize net profit, energy efficiency, a...

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Published in:Energy, ecology and environment (Online) ecology and environment (Online), 2022-10, Vol.7 (5), p.489-507
Main Authors: Marzban, Zahra, Asgharipour, Mohammad Reza, Ghanbari, Ahmad, Ramroudi, Mahmoud, Seyedabadi, Esmaeel
Format: Article
Language:English
Subjects:
Agricultural ecosystems
Agricultural production
Barley
Carbon dioxide
Case studies
Chemicals
Cropping systems
Ecology
Economic growth
Energy
Energy consumption
Energy efficiency
Energy levels
Environment
Environmental impact
Farmers
Fertilizers
Herbicides
Land resources
Mathematical programming
Multiple objective analysis
Nonlinear programming
Optimization
Original Article
Planning
Potassium
Renewable energy
Renewable resources
Sustainable agriculture
Sustainable development
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container_title Energy, ecology and environment (Online)
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creator Marzban, Zahra
Asgharipour, Mohammad Reza
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description The evaluation of energy efficiency is a key principle in agroecosystem management. In this article, the optimal cropping pattern of irrigated and rainfed lands in the eastern Lorestan province is proposed using multi-objective nonlinear programming (MOP) to maximize net profit, energy efficiency, and net energy and minimize non-renewable energy and GWP. The results showed that in the MOP pattern, the indirect energy levels of irrigated and rainfed lands decreased by 1.90E+13 and 4.80E+13 J in the study area, respectively; non-renewable energy levels decreased by 3.00E+12 and 3.20E+13 J, respectively; and the GWP levels decreased by 1.00E+06 and 9.00E+05 kg CO 2 -eq in the region compared to the existing pattern. In the MOP pattern, the energy efficiency of irrigated and rainfed lands increased by 0.20 and 0.19, respectively, compared to the existing state. By implementing the optimal cropping pattern, energy inputs can be reduced by 1.20E+14 J and net profit increased by 968,483 USD. By using the proposed pattern, in addition to selecting the appropriate model and optimizing the use of water and land resources, effective steps can be taken for enhancing the profit and declining the energy consumption and environmental impacts.
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subjects Agricultural ecosystems
Agricultural production
Barley
Carbon dioxide
Case studies
Chemicals
Cropping systems
Ecology
Economic growth
Energy
Energy consumption
Energy efficiency
Energy levels
Environment
Environmental impact
Farmers
Fertilizers
Herbicides
Land resources
Mathematical programming
Multiple objective analysis
Nonlinear programming
Optimization
Original Article
Planning
Potassium
Renewable energy
Renewable resources
Sustainable agriculture
Sustainable development
title Determining cropping patterns with emphasis on optimal energy consumption using LCA and multi-objective planning: a case study in eastern Lorestan Province, Iran
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