A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs

Hailiang Liu*, Gorm Bruun Andresen, Tom Brown, Martin Greiner

*Corresponding author for this work

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    Abstract

    We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the weather-based renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. For a demonstration, we focus on 41 Chinese reservoir-based hydro stations as a demo, determine their upstream basin areas, estimate their inflow based on gridded surface runoff data and validate their daily inflow time series in terms of both flow volume and potential power generation. Furthermore, we showcase an application of these time series with hydro cascades in energy system long term investment planning. Our method's novelty lies in: • it is based on highly resolved spatial-temporal datasets; • both data and algorithms used here are globally applicable; • it includes a hydro cascade model that can be integrated into energy system simulations.

    Original languageEnglish
    JournalMethodsX
    Volume6
    Pages (from-to)1370-1378
    Number of pages9
    DOIs
    Publication statusPublished - 2019

    Keywords

    • China
    • Energy systems
    • Hydro power
    • Reanalysis

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