推进经济环保型电气化:离网地区微电网设计综合框架

IF 4.4 4区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
A M Almas Shahriyar Azad, Zarin Tasnim Oishi, Md. Ariful Islam, Md. Rakibul Islam
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引用次数: 0

摘要

可再生能源系统的设计传统上强调生命周期成本,通常主要关注排放量,而不是全面的生命周期影响评估。本研究提出了一种四层方法,以平衡偏远地区电气化的成本效益和可持续性。第一层侧重于通过分析电力负荷概况、气象数据和微电网设计的组件规格来了解社区环境。第 2 层评估各种系统的可行性,通过成本分析和多标准决策(MCDM)对替代方案进行排序,从而优化系统。第 3 层利用生命周期评估对环境影响进行评估,并根据环境标准对替代方案进行排序。第 4 层综合成本和环境排名,确定最合适的能源配置,然后进行敏感性分析,以确保决策的稳健性。该方法通过对一个无电偏远社区的案例研究进行了验证,证明光伏-风力涡轮机-生物质发电机-逆变器配置是最稳健的替代方案,在 50%的分析方案中被证明是最佳选择,能源成本为 0.213 美元/千瓦时,同时在 25 年的生命周期内,在考虑的所有 18 项标准中,对环境的影响最小。这种新颖的框架为设计可再生能源系统提供了一种可扩展的方法,从而加强了发展中地区的可持续电气化努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancing Economical and Environmentally Conscious Electrification: A Comprehensive Framework for Microgrid Design in Off-Grid Regions

Advancing Economical and Environmentally Conscious Electrification: A Comprehensive Framework for Microgrid Design in Off-Grid Regions

The design of renewable energy systems traditionally emphasizes life cycle costs, often focusing primarily on emissions rather than a comprehensive life cycle impact assessment. This research proposes a four-tier methodology to balance cost-effectiveness and sustainability in the electrification of remote areas. Tier 1 focuses on understanding the community context by analyzing electrical load profiles, meteorological data, and component specifications for microgrid design. Tier 2 evaluates the feasibility of various systems, optimizing them through cost analysis and Multi-Criteria Decision-Making (MCDM) to rank alternatives. Tier 3 assesses environmental impacts using life cycle assessment, ranking alternatives based on environmental criteria. Tier 4 integrates cost and environmental rankings to determine the most suitable energy configurations, followed by sensitivity analysis to ensure robust decision-making. The methodology is validated through a case study of an unelectrified remote community, demonstrating that the PV-Wind Turbine-Biomass Generator-Converter configuration is the most robust alternative, proving to be the optimal choice in 50% of the analyzed scenarios, achieving a Cost of Energy of 0.213 USD/kWh while minimizing environmental impact across all 18 criteria considered over a 25-year life cycle. This novel framework offers a scalable approach to designing renewable energy systems, enhancing sustainable electrification efforts in developing regions.

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来源期刊
Global Challenges
Global Challenges MULTIDISCIPLINARY SCIENCES-
CiteScore
8.70
自引率
0.00%
发文量
79
审稿时长
16 weeks
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