{"title":"伊朗用于农业灌溉的柴油和电网电力的比较LCA:为什么柴油在依赖化石燃料的电网中表现更好。","authors":"Majid Namdari","doi":"10.1371/journal.pone.0324371","DOIUrl":null,"url":null,"abstract":"<p><p>This study presents a comparative environmental impact assessment of well water extraction systems employed for agricultural irrigation in Iran, focusing on two prevalent energy sources: diesel engines and grid-connected electricity. Utilizing life cycle assessment methodology, the research evaluates key environmental indicators, encompassing abiotic depletion, global warming potential (GWP), human toxicity, aquatic ecotoxicity, acidification, eutrophication, and photochemical oxidation. Data collected from 100 agricultural wells were analyzed to compare the environmental performance of each energy source. The objective is to provide policymakers with data-driven insights for the development of effective mitigation strategies. Environmental analysis revealed that diesel systems emit 1.34 kg CO2/m3, compared to 1.59 kg CO2/m3 in grid systems. While grid-connected systems avoid on-farm emissions, they suffer from high upstream impacts due to Iran's fossil fuel-dominant electricity generation mix (94%). The diesel system showed lower impacts in seven of eleven categories, including GWP, abiotic depletion, and marine ecotoxicity. In contrast, grid systems had slightly lower values in eutrophication (5.29 × 10-4 vs. 1.66 × 10-3 kg PO4 eq) and ozone layer depletion. The overall Environmental Composite Index (ECI) was 3.68 × 10-4 nPt for diesel and 5.77 × 10-4 nPt for electricity, indicating a 56.79% higher burden for the grid-powered system. The findings emphasize the role of local energy mix, pump efficiency, and transmission losses in environmental outcomes, suggesting that improvements in Iran's grid efficiency and a transition to renewable energy are key to reducing impacts.</p>","PeriodicalId":20189,"journal":{"name":"PLoS ONE","volume":"20 7","pages":"e0324371"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative LCA of diesel and grid electricity for agricultural irrigation in Iran: why diesel outperforms in fossil-reliant grids.\",\"authors\":\"Majid Namdari\",\"doi\":\"10.1371/journal.pone.0324371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study presents a comparative environmental impact assessment of well water extraction systems employed for agricultural irrigation in Iran, focusing on two prevalent energy sources: diesel engines and grid-connected electricity. Utilizing life cycle assessment methodology, the research evaluates key environmental indicators, encompassing abiotic depletion, global warming potential (GWP), human toxicity, aquatic ecotoxicity, acidification, eutrophication, and photochemical oxidation. Data collected from 100 agricultural wells were analyzed to compare the environmental performance of each energy source. The objective is to provide policymakers with data-driven insights for the development of effective mitigation strategies. Environmental analysis revealed that diesel systems emit 1.34 kg CO2/m3, compared to 1.59 kg CO2/m3 in grid systems. While grid-connected systems avoid on-farm emissions, they suffer from high upstream impacts due to Iran's fossil fuel-dominant electricity generation mix (94%). The diesel system showed lower impacts in seven of eleven categories, including GWP, abiotic depletion, and marine ecotoxicity. In contrast, grid systems had slightly lower values in eutrophication (5.29 × 10-4 vs. 1.66 × 10-3 kg PO4 eq) and ozone layer depletion. The overall Environmental Composite Index (ECI) was 3.68 × 10-4 nPt for diesel and 5.77 × 10-4 nPt for electricity, indicating a 56.79% higher burden for the grid-powered system. 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引用次数: 0
摘要
本研究对伊朗用于农业灌溉的井水提取系统进行了环境影响比较评估,重点关注两种普遍的能源:柴油发动机和并网电力。利用生命周期评价方法,对非生物耗竭、全球变暖潜势(GWP)、人体毒性、水生生态毒性、酸化、富营养化和光化学氧化等关键环境指标进行评价。从100口农业井收集的数据进行了分析,以比较每种能源的环境绩效。目标是为决策者提供数据驱动的见解,以制定有效的缓解战略。环境分析显示,柴油系统的二氧化碳排放量为1.34 kg /m3,而电网系统的二氧化碳排放量为1.59 kg /m3。虽然并网系统避免了农场排放,但由于伊朗的发电结构以化石燃料为主(94%),它们受到了上游的高影响。在全球潜能值、非生物耗竭、海洋生态毒性等11个指标中,柴油系统在7个指标上的影响较低。相比之下,网格系统富营养化(5.29 × 10-4比1.66 × 10-3 kg PO4 eq)和臭氧层消耗值略低。总体环境综合指数(ECI)柴油为3.68 × 10-4 nPt,电力为5.77 × 10-4 nPt,表明电网系统的负担高56.79%。研究结果强调了当地能源结构、泵效率和传输损失在环境结果中的作用,表明提高伊朗电网效率和向可再生能源过渡是减少影响的关键。
Comparative LCA of diesel and grid electricity for agricultural irrigation in Iran: why diesel outperforms in fossil-reliant grids.
This study presents a comparative environmental impact assessment of well water extraction systems employed for agricultural irrigation in Iran, focusing on two prevalent energy sources: diesel engines and grid-connected electricity. Utilizing life cycle assessment methodology, the research evaluates key environmental indicators, encompassing abiotic depletion, global warming potential (GWP), human toxicity, aquatic ecotoxicity, acidification, eutrophication, and photochemical oxidation. Data collected from 100 agricultural wells were analyzed to compare the environmental performance of each energy source. The objective is to provide policymakers with data-driven insights for the development of effective mitigation strategies. Environmental analysis revealed that diesel systems emit 1.34 kg CO2/m3, compared to 1.59 kg CO2/m3 in grid systems. While grid-connected systems avoid on-farm emissions, they suffer from high upstream impacts due to Iran's fossil fuel-dominant electricity generation mix (94%). The diesel system showed lower impacts in seven of eleven categories, including GWP, abiotic depletion, and marine ecotoxicity. In contrast, grid systems had slightly lower values in eutrophication (5.29 × 10-4 vs. 1.66 × 10-3 kg PO4 eq) and ozone layer depletion. The overall Environmental Composite Index (ECI) was 3.68 × 10-4 nPt for diesel and 5.77 × 10-4 nPt for electricity, indicating a 56.79% higher burden for the grid-powered system. The findings emphasize the role of local energy mix, pump efficiency, and transmission losses in environmental outcomes, suggesting that improvements in Iran's grid efficiency and a transition to renewable energy are key to reducing impacts.
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