Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75872
Title: Energy consumption enhancement and environmental life cycle assessment in paddy production using optimization techniques
Authors: Nabavi-Pelesaraei, A
Rafiee, S
Mohtasebi, SS
Hosseinzadeh-Bandbafha, H
Chau, KW 
Keywords: Energy
Environmental impact
Genetic algorithm
Optimization
Paddy
Issue Date: 2017
Publisher: Elsevier
Source: Journal of cleaner production, 2017, v. 162, p. 571-586 How to cite?
Journal: Journal of cleaner production 
Abstract: In recent years, environmental impacts of energy consumption in different production systems have become more adverse. Agricultural systems, as results of food security and production growth, are nowadays significant energy consumers. Owing to various reasons, energy consumption in these systems, especially those in developing countries, are often inefficient. As such, there are three objectives in this study. The first objective is the assessment of energy flow, cumulative exergy demand and life cycle of paddy fields. The second goal is the optimization of energy consumption by employing Data Envelopment Analysis (DEA) and Multi-Objective Genetic Algorithm (MOGA) for enhancement of energy efficiency (reduction in energy consumption and increase performance in paddy production) and reduction of adverse environmental effects in paddy production. The third objective is the provision of the optimum pattern of energy consumption in paddy production in Guilan Province of Iran. Optimization results indicate that energy savings by employing DEA and MOGA are 21.15% and 71.63%, respectively. They indicate that the enhancement of the efficiency of paddy production is mainly in terms of toxins and chemical fertilizers. Besides, all adverse environmental impacts by MOGA are significantly less than from its counterparts by DEA and present farms. The most significant difference between MOGA and DEA is associated to ozone layer depletion. As a result, MOGA can be introduced as an adequate optimization method to determine the best mix of paddy production inputs, minimizing adverse environmental impact and maximizing performances of farms and energy efficiency simultaneously. This study highlights the utilization and the performance of MOGA in paddy production systems to determine the optimized composition for mixing energy, yield and environmental impacts. The implementation of the recommended consumption patterns will be able to attain sustainable development in paddy production in Guilan province of Iran, owing to the protection of non-renewable resources, the reduction of adverse environmental effects and the improvement of economic conditions for rice farmers.
URI: http://hdl.handle.net/10397/75872
ISSN: 0959-6526
EISSN: 1879-1786
DOI: 10.1016/j.jclepro.2017.06.071
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

5
Citations as of May 12, 2018

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
Citations as of May 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.