optimization of cumulative energy, exergy consumption and environmental life cycle assessment modification of corn production in lorestan province, iran

Optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in lorestan province, iran. the required data were collected from farmers in lorestan province using random sampling. the cobb-douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (cenc and cexc) and devising strategies to mitigate the environmental impacts of corn production. the cobb-douglas equation results revealed that electricity, diesel fuel, and n-fertilizer were the major contributors to cexc in the corn production system. according to the data envelopment analysis (dea) results, the average efficiency of all farms in terms of cexc was 94.7% in the ccr model and 97.8% in the bcc model. furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. by adopting more suitable methods based on dea of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.

optimization of cumulative energy, exergy consumption and environmental life cycle assessment modification of corn production in lorestan province, iran

optimal use of resources, including energy, is one of the most important principles in modern and sustainable agricultural systems. exergy analysis and life cycle assessment were used to study the efficient use of inputs, energy consumption reduction, and various environmental effects in the corn production system in lorestan province, iran. the required data were collected from farmers in lorestan province using random sampling. the cobb-douglas equation and data envelopment analysis were utilized for modeling and optimizing cumulative energy and exergy consumption (cenc and cexc) and devising strategies to mitigate the environmental impacts of corn production. the cobb-douglas equation results revealed that electricity, diesel fuel, and n-fertilizer were the major contributors to cexc in the corn production system. according to the data envelopment analysis (dea) results, the average efficiency of all farms in terms of cexc was 94.7% in the ccr model and 97.8% in the bcc model. furthermore, the results indicated that there was excessive consumption of inputs, particularly potassium and phosphate fertilizers. by adopting more suitable methods based on dea of efficient farmers, it was possible to save 6.47, 10.42, 7.40, 13.32, 31.29, 3.25, and 6.78% in the exergy consumption of diesel fuel, electricity, machinery, chemical fertilizers, biocides, seeds, and irrigation, respectively.