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Erschienen in: Current Sustainable/Renewable Energy Reports 4/2021

14.10.2021 | Energy Market (R Sioshansi and A Mousavian, Section Editors)

Data-Driven Modeling of Operating Characteristics of Hydroelectric Generating Units

verfasst von: Rachel Hunter-Rinderle, Ramteen Sioshansi

Erschienen in: Current Sustainable/Renewable Energy Reports | Ausgabe 4/2021

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Abstract

Purpose of Review

Hydroelectric generation is a potential flexible electricity source that can ease the transition to a decarbonized energy economy. As such, using scarce hydroelectric generating resources efficiently is important. We examine approaches to represent the operating characteristics of hydroelectric resources.

Recent Findings

Many hydroelectric-plant owners use water tables or generic unit characteristics for operational planning. Such practice may be inefficient, as it does not account for unit-specific operating-characteristic changes or time-related impacts, e.g., plant degradation. We demonstrate a data-driven approach to modeling plant operations that is unit-specific and depends solely on observable and controllable variables.

Summary

Numerical results using historical data for four hydroelectric units illustrate the proposed methodology.

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Metadaten
Titel
Data-Driven Modeling of Operating Characteristics of Hydroelectric Generating Units
verfasst von
Rachel Hunter-Rinderle
Ramteen Sioshansi
Publikationsdatum
14.10.2021
Verlag
Springer International Publishing
Erschienen in
Current Sustainable/Renewable Energy Reports / Ausgabe 4/2021
Elektronische ISSN: 2196-3010
DOI
https://doi.org/10.1007/s40518-021-00197-1

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