Energy analysis in Water-Energy-Food-Carbon Nexus

IF 8 Q1 ENERGY & FUELS
Marzieh Hasanzadeh Saray, Ali Torabi Haghighi
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引用次数: 0

Abstract

This study evaluated the comprehensive Water-Energy-Food-Carbon Nexus (WEFC) by focusing on energy assessment in northwest Iran. The energy evaluation indices for different products were calculated by estimating the total input and output energies. Multi-objective optimization based on five individual objectives and WEFC Nexus policies was used to identify the optimal land-use allocation of wheat, barley, rapeseed, and sugar beet, silage corn, and potato while minimizing water and energy consumption and CO2 emissions, and maximizing food production and profit. The results indicate that the suggested framework provides a practical methodology for determining the optimal land-use allocation considering quantitative WEFC Nexus. To increase economic efficiency and reduce energy consumption, agricultural practices and policy recommendations should be adopted, including promoting renewable energy sources, implementing energy-saving technologies, improving fertilizer management, improving crop rotation practices, conservation tillage, and improving water management and adoption of sustainable farming practices. The results allow policymakers to optimize multiple resources and recommend the best resource allocation under recommendation policy, technology, and constraints to achieve sustainable development in agriculture.

Abstract Image

水-能源-食物-碳关系中的能量分析
本研究以伊朗西北部的能源评估为重点,对水-能源-粮食-碳综合关系(WEFC)进行了评估。通过估算总的输入和输出能量,计算出不同产品的能量评价指标。基于五个单独目标和WEFC Nexus政策的多目标优化用于确定小麦、大麦、油菜籽和甜菜、青贮玉米和土豆的最佳土地利用分配,同时最大限度地减少水和能源消耗以及二氧化碳排放,最大限度地提高粮食生产和利润。结果表明,所提出的框架为确定考虑定量WEFC Nexus的最优土地利用分配提供了一种实用的方法。为了提高经济效率和减少能源消耗,应采用农业实践和政策建议,包括推广可再生能源、实施节能技术、改善肥料管理、改善作物轮作做法、保护性耕作、改善水管理和采用可持续农业做法。研究结果使决策者能够优化多种资源,并在推荐政策、技术和约束条件下推荐最佳资源配置,以实现农业的可持续发展。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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