Quantitative evaluation of agricultural water pumping station with data envelopment analysis method (Case study: Sabili main pumping station in

Abstract:
Increasing the efficiency of the agricultural water pumping stations is important because of the high percent of cost and energy consumption. The performance of pumping stations in the evaluation of irrigation and drainage networks has been ignored up to now, whereas any impairment in pumping station will cause the destruction on priming and thereupon disruption of network performance. Since, there is not specific assessment for pump's performance, therefore, in this study, a quantitative evaluation method named data envelopment analysis, was introduced and applied. In this regard, after the introduction of this technique and its various models, the performance of Sabili main station located in Khuzestan province was calculated during 2001 to 2010 with DEAP2 software. In this method, the average performance of Sabili main station was calculated 69 percent. This station had the highest efficiency in 2001, 2002 and 2010 (100 percent) and it had the lowest efficiency in 2009 (21 percent). Most of the inefficiency was due to the high cost of electricity consumption. Hence, maximum potential efficiency could be accessible with energy consumption reduction activities.
Increasing the efficiency of the agricultural water pumping stations is important because of the high percent of cost and energy consumption. The performance of pumping stations in the evaluation of irrigation and drainage networks has been ignored up to now, whereas any impairment in pumping station will cause the destruction on priming and thereupon disruption of network performance. Since, there is not specific assessment for pump's performance, therefore, in this study, a quantitative evaluation method named data envelopment analysis, was introduced and applied. In this regard, after the introduction of this technique and its various models, the performance of Sabili main station located in Khuzestan province was calculated during 2001 to 2010 with DEAP2 software. In this method, the average performance of Sabili main station was calculated 69 percent. This station had the highest efficiency in 2001, 2002 and 2010 (100 percent) and it had the lowest efficiency in 2009 (21 percent). Most of the inefficiency was due to the high cost of electricity consumption. Hence, maximum potential efficiency could be accessible with energy consumption reduction activities.Increasing the efficiency of the agricultural water pumping stations is important because of the high percent of cost and energy consumption. The performance of pumping stations in the evaluation of irrigation and drainage networks has been ignored up to now, whereas any impairment in pumping station will cause the destruction on priming and thereupon disruption of network performance. Since, there is not specific assessment for pump's performance, therefore, in this study, a quantitative evaluation method named data envelopment analysis, was introduced and applied. In this regard, after the introduction of this technique and its various models, the performance of Sabili main station located in Khuzestan province was calculated during 2001 to 2010 with DEAP2 software. In this method, the average performance of Sabili main station was calculated 69 percent. This station had the highest efficiency in 2001, 2002 and 2010 (100 percent) and it had the lowest efficiency in 2009 (21 percent). Most of the inefficiency was due to the high cost of electricity consumption. Hence, maximum potential efficiency could be accessible with energy consumption reduction activities.
Increasing the efficiency of the agricultural water pumping stations is important because of the high percent of cost and energy consumption. The performance of pumping stations in the evaluation of irrigation and drainage networks has been ignored up to now, whereas any impairment in pumping station will cause the destruction on priming and thereupon disruption of network performance. Since, there is not specific assessment for pump's performance, therefore, in this study, a quantitative evaluation method named data envelopment analysis, was introduced and applied. In this regard, after the introduction of this technique and its various models, the performance of Sabili main station located in Khuzestan province was calculated during 2001 to 2010 with DEAP2 software. In this method, the average performance of Sabili main station was calculated 69 percent. This station had the highest efficiency in 2001, 2002 and 2010 (100 percent) and it had the lowest efficiency in 2009 (21 percent). Most of the inefficiency was due to the high cost of electricity consumption. Hence, maximum potential efficiency could be accessible with energy consumption reduction activities.
Increasing the efficiency of the agricultural water pumping stations is important because of the high percent of cost and energy consumption. The performance of pumping stations in the evaluation of irrigation and drainage networks has been ignored up to now, whereas any impairment in pumping station will cause the destruction on priming and thereupon disruption of network performance. Since, there is not specific assessment for pump's performance, therefore, in this study, a quantitative evaluation method named data envelopment analysis, was introduced and applied. In this regard, after the introduction of this technique and its various models, the performance of Sabili main station located in Khuzestan province was calculated during 2001 to 2010 with DEAP2 software. In this method, the average performance of Sabili main station was calculated 69 percent. This station had the highest efficiency in 2001, 2002 and 2010 (100 percent) and it had the lowest efficiency in 2009 (21 percent). Most of the inefficiency was due to the high cost of electricity consumption. Hence, maximum potential efficiency could be accessible with energy consumption reduction activities.
Language:
Persian
Published:
Iranian Water Research Journal, Volume:10 Issue: 22, 2016
Page:
175
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