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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

Elkadragy, Mohamed M.; Alici, Mert; Alsersy, Ahmed; Opal, Ambika; Nathwani, Jatin; Knebel, Joachim; Hiller, Marc

Abstract (englisch):
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.

DOI: 10.1016/j.est.2020.101965
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 11.2020
Sprache Englisch
Identifikator ISSN: 2352-152X
KITopen-ID: 1000127250
HGF-Programm 37.01.03 (POF III, LK 01) Batteries in Application
Weitere HGF-Programme 38.02.03 (POF IV) Batteries in Application
Erschienen in Journal of energy storage
Verlag Elsevier
Seiten Article no: 101965
Vorab online veröffentlicht am 10.11.2020
Schlagwörter Off-grid and decentralized hybrid renewable electricity systems (OHRES); Remote monitoring and data analysis; Artificial neural networks; Irradiance forecast modeling; Hybrid battery storage system (HBSS); Performance analysis
Nachgewiesen in Scopus
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