A GIS for Rural Electrification Strategies in the Brazilian Amazon

Q2 Social Sciences
Wesly Jean, Augusto Arcela, R. V. van Els, A. B. Brasil Junior, Sandra Milena Velez Echeverry, Ana Rafaela S. de Miranda, Josiane S. A. de Souza
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引用次数: 8

Abstract

Abstract The World Bank estimates that approximately 1.2 billion people in the world still live without electricity. The UNs Sustainable Development Goals (SDG) seek to provide universal access to electricity services by 2030. In Brazil, with the implementation of social programs such as “Light for All,” access to electricity has been extended to more than 15 million people in recent years. However, many residential areas, mainly in the Brazilian Amazon, still lack access to the electricity supplies due to factors such as low population density, topography, long distances, lack of infrastructure, among others. This paper intends to elaborate and analyze hypothetical scenarios to investigate ways that allow planning and electrification strategies in the municipality of “São Gabriel da Cachoeira” located within the Brazilian Amazon. The OnSSET – a set of modeling tools based on QGIS – was applied with open access data. The aim was to identify an ideal combination of electrification options by considering network extensions, mini-grid and/or autonomous, solar, wind, hydroelectric and diesel solutions depending on the availability of resources. Our results show that photovoltaic solutions are the most adequate for the region, mainly because of the region’s high solar radiance, associated with low wind speeds and high diesel costs.
巴西亚马逊地区农村电气化战略的GIS
世界银行估计,世界上大约有12亿人仍然生活在没有电的环境中。联合国可持续发展目标(SDG)寻求到2030年普及电力服务。在巴西,随着“全民照明”等社会项目的实施,近年来有1500多万人用上了电。然而,由于人口密度低、地形、距离远、缺乏基础设施等因素,许多居民区,主要是在巴西亚马逊地区,仍然无法获得电力供应。本文旨在详细阐述和分析假设情景,以调查巴西亚马逊地区“s o Gabriel da Cachoeira”市的规划和电气化战略。采用基于QGIS的建模工具OnSSET对开放获取数据进行处理。其目的是根据资源的可用性,通过考虑网络扩展、微型电网和/或自主、太阳能、风能、水力发电和柴油解决方案,确定电气化选择的理想组合。我们的研究结果表明,光伏解决方案最适合该地区,主要是因为该地区的太阳辐射高,与低风速和高柴油成本相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Papers in Applied Geography
Papers in Applied Geography Social Sciences-Urban Studies
CiteScore
2.20
自引率
0.00%
发文量
19
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