农业水井电气化政策评价与制定长期可持续能源战略

IF 5.4 Q2 ENERGY & FUELS
Mohammad Ali Moradi , Mohsen Salimi , Majid Amidpour
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引用次数: 1

摘要

发展中国家的农业水井电气化被认为是提高能源效率和可再生能源利用率以实现可持续和智能农业部门的主要解决方案之一。本研究旨在重新评估伊朗农业水井电气化计划,作为环境能源分析模型框架内的案例研究,并在可能的情况下实现2041年之前的可持续决策。为了评估农用井电气化的成本效益,使用LEAP开发了一个自下而上的经济最终用途分析模型。在本研究中,开发了一种方法来分析农业部门地下水井子部门能源需求的不同解决方案。介绍了一种称为能效一揽子计划的优越方案。为了修改政府关于农业水井电气化的政策,并通过将电气化战略与水井的智能测量和监测相结合,这项研究提出了一个以能源效率一揽子计划的形式使用太阳能和风能的可持续解决方案。到2041年,这一解决方案可以节省819万桶原油当量,减少524万吨温室气体排放,每吨二氧化碳当量的成本为-369.3美元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of agriculture wells electrification policy and development of a long-term sustainable energy strategy

Evaluation of agriculture wells electrification policy and development of a long-term sustainable energy strategy

The electrification of agriculture wells in the developing countries is considered as one of the major solutions for increasing energy efficiency and utilization of renewables to achieve sustainable and smart agriculture sector. This study aims to re-evaluate the plan for the electrification of agricultural wells in Iran as a case study in the framework of an environmental energy analysis model and under possible scenarios to achieve sustainable policy-making until 2041. To evaluate the cost-benefits of electrification of agricultural wells, an economic bottom-up end-use analysis model was developed using LEAP. In this study, a methodology was developed to analyze different solutions for energy demand of groundwater well subsector of agriculture sector. The superior scenario, called energy efficiency package, was introduced. To amend the government's policy on the electrification of agricultural wells, and by integrating the strategies of electrification and intelligent measurements and monitoring of wells, this research, suggested a sustainable solution on the use of solar and wind energy in the form of energy efficiency package. This solution could save 8.19 million barrels of crude oil equivalent and reduce 5.24 million tons of greenhouse gas emissions by 2041 at a cost of −369.3 dollars per ton of carbon dioxide equivalent.

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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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