Optimization of energy consumption and environmental impacts of chickpea production using data envelopment analysis (DEA) and multi objective genetic algorithm (MOGA) approaches

Elhami, Behzad; Akram, Asadollah; Khanali, Majid

doi:10.1016/j.inpa.2016.07.002

Cited by 42 publications

(26 citation statements)

References 44 publications

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“…Figure 2 shows that the most effective factors on the GWP impact are nitrogen fertilizer and on-farm emissions (direct emissions) which is in agreement with results obtained from a study on canola cultivation in Isfahan province (Khanali et al 2018). Elhami et al (2016) found agricultural machinery and chemical fertilizers as the most important inputs affecting GWP in chickpea production in Isfahan province. Based on Nemecek et al (2011), emissions of nitrogen dioxide and carbon dioxide from chemical fertilizers and diesel fuel were identified as major contributors to global warming potential.…”

Section: Pattern Of Energy Consumptionsupporting

confidence: 85%

Estimation of energy flow and environmental impacts of quinoa cultivation through life cycle assessment methodology

Dehkordi

Forootan

2020

Environ Sci Pollut Res

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Quinoa is an adaptable plant that is rich in terms of nutritional properties. Currently, the promotion and cultivation of quinoa are expanding in Iran. The present study aimed to investigate the energy consumption of quinoa grain production and its environmental impacts through life cycle assessment. In this regard, in order to evaluate the environmental and energy indices, required data were collected from quinoa farmers in Isfahan. The high energy ratio (ER > 1) and positive net energy show that quinoa cultivation is efficient. Based on the results, irrigation water and nitrate fertilizer were identified as the major contributors to energy consumption. Based on the normalization method, the highest and lowest environmental impacts during the production process were related to the indices of marine aquatic ecotoxicity and ozone layer depletion, respectively. Results showed that in the global warming potential impact, 354 kg CO 2eq. were emitted per production of 1 tonne of quinoa grain. Diesel fuel and nitrogen fertilizer had a significant effect on most environmental impacts. Proper management of chemical fertilizers and agricultural machinery are key factors for sustainable cultivation of quinoa.

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Section: Pattern Of Energy Consumptionsupporting

confidence: 85%

Estimation of energy flow and environmental impacts of quinoa cultivation through life cycle assessment methodology

Dehkordi

Forootan

2020

Environ Sci Pollut Res

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“…In addition, we only used studies that expressed results with at least a mass-based functional unit and global warming potential in a mass-based CO 2 equivalent. The majority of references were from Organisation for Economic Co-operation and Development member countries, although data availability necessitated the inclusion of some non-members (e.g., Thailand for grasshoppers and Iran for chickpeas, lentils and peanuts) [37][38][39][40]. Finally, where multiple LCA data sources for individual foods were available that met our requirements, we calculated mean and standard deviation for the food, which are shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

Integrating Protein Quality and Quantity with Environmental Impacts in Life Cycle Assessment

et al. 2019

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Life cycle assessment (LCA) evaluates environmental impacts of a product from material extraction through disposal. Applications of LCA in evaluating diets and foods indicate that plant-based foods have lower environmental impacts than animal-based foods, whether on the basis of total weight or weight of the protein content. However, LCA comparisons do not differentiate the true biological value of protein bioavailability. This paper presents a methodology to incorporate protein quality and quantity using the digestible indispensable amino acid score (DIAAS) when making comparisons using LCA data. The methodology also incorporates the Food and Drug Administration’s (FDA) reference amounts customarily consumed (RACCs) to best represent actual consumption patterns. Integration of these measures into LCA provides a mechanism to identify foods that offer balance between the true value of their protein and environmental impacts. To demonstrate, this approach is applied to LCA data regarding common protein foods’ global warming potential (GWP). The end result is a ratio-based score representing the biological value of protein on a GWP basis. Principal findings show that protein powders provide the best efficiency while cheeses, grains, and beef are the least efficient. This study demonstrates a new way to evaluate foods in terms of nutrition and sustainability.

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“…On the basis of the input-output of energy, the net energy was found to be 18.94 GJ/ha and the energy investment return was 5.35 times. According to Elhami et al [2016], if the ratio between the output and the input is greater than one, then the energy use is efficient. Energy efficiency strongly affects the emission level; the higher the efficiency, the lower the environmental impact potential will be.…”

Section: The Coffee Agroindustry Inventory Analysismentioning

confidence: 99%

A Study of the Smallholder Coffee Agroindustry Sustainability Condition Using the Life Cycle Assessment Approach in Bengkulu Province, Indonesia

Hamdan¹,

Fauzi²,

Rusli³

et al. 2019

J. Ecol. Eng.

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The management of smallholder coffee plantations in Bengkulu Province has not yet conducted according to good agricultural practices. As a result, the productivity and quality of green beans produced are also low. The efforts to improve this condition need to be made in order to maintain the economic, social, and environmental sustainability of this agribusiness. The present study aimed at identifying the life cycle of the coffee agroindustry in supporting sustainable agriculture using the Life Cycle Assessment (LCA) method. The results of the study revealed that the energy input from the use of fertilizers, herbicides, manpower, and fossil fuel was 4349.08 MJ/ha. The energy output from the green beans and coffee husks was 9763.39 MJ/ha and 13524.21 MJ/ha, respectively, so the efficiency based on the input-output ratio was 5.35. The emission values to the global warming potential, acidification, and eutrophication were 109.43 kg eqCO 2 , 345.70 g SO 2 eq/ha/year, and 28.54 g PO 4 3eq/ha/year, respectively. The coffee agribusiness in Kepahiang Regency is categorized as organic. The coffee agribusiness was economically feasible with a Net B/C of 2.87, but the land ownership which was 1.45 ha/household and the present agribusiness conditions indicate a low sustainability rate.

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Optimization of energy consumption and environmental impacts of chickpea production using data envelopment analysis (DEA) and multi objective genetic algorithm (MOGA) approaches

Cited by 42 publications

References 44 publications

Estimation of energy flow and environmental impacts of quinoa cultivation through life cycle assessment methodology

Estimation of energy flow and environmental impacts of quinoa cultivation through life cycle assessment methodology

Integrating Protein Quality and Quantity with Environmental Impacts in Life Cycle Assessment

A Study of the Smallholder Coffee Agroindustry Sustainability Condition Using the Life Cycle Assessment Approach in Bengkulu Province, Indonesia

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