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首页> 外文期刊>Journal of Energy Storage >Off-grid and decentralized hybrid renewable electricity systems data analysis platform (OSDAP) A building block of a comprehensive techno-economic approach based on contrastive case studies in Sub-Saharan Africa and Canada
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Off-grid and decentralized hybrid renewable electricity systems data analysis platform (OSDAP) A building block of a comprehensive techno-economic approach based on contrastive case studies in Sub-Saharan Africa and Canada

机译：离网和分散的混合再生电力系统数据分析平台（OSDAP）基于撒哈拉以南非洲和加拿大的对比案例研究的全面技术经济方法的构建块

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Off-grid and decentralized Hybrid Renewable Electricity Systems (OHRES) play a promising role in providing sustainable energy access to 860 million people around the globe with no access to electricity. However, the diversity of global geographies, lack of performance analysis standardization, and modeling limitations hinder the scalability of OHRES. This study outlines the creation of a data analysis platform (OSDAP) and irradiance forecasting models for OHRES that can be used to support the provision of global energy access. The paper presents the technical layout of OHRES in two case studies in Canada and Uganda and outlines an assessment and modeling platform that can be used to assess OHRES performance across widely varying geographic locations. Two irradiance forecasting models are developed using artificial neural networks, which can be used to increase solar energy utilization in OHRES.
机译：离网和分散的混合性再生电力系统（OHRES）在提供可持续的能源访问到全球范围内的8.6亿人，无法获得电力。然而，全球地理学的多样性，缺乏性能分析标准化，以及建模限制阻碍了ohres的可扩展性。本研究概述了用于支持提供全球能源访问的OHRES的数据分析平台（OSDAP）和辐照度预测模型。本文提出了在加拿大和乌干达的两种案例研究中的技术布局，并概述了评估和建模平台，可用于评估跨越不同地理位置的OHRES性能。使用人工神经网络开发了两种辐照度预测模型，可用于提高OHRES中的太阳能利用。

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