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Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect
T Pérez Ciria1, H D Puspitarini2, G Chiogna3
1Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria.
The Science of the Total Environment
|September 5, 2020
Summary
Complementarity between solar (photovoltaic) and hydropower (run-of-the-river) energy sources can stabilize power supply. A new wavelet-based index quantifies this energy complementarity across different time scales.
Area of Science:
- Energy Systems Analysis
- Renewable Energy Integration
- Time Series Analysis
Background:
- Variable renewable energy (VRE) sources like solar and wind exhibit spatio-temporal variability, impacting power supply reliability.
- Energy complementarity, where different VRE sources balance each other in time and space, is crucial for reducing overall variability and meeting electricity demand.
- Understanding the temporal structure of complementarity is essential for designing stable 100% renewable energy systems.
Purpose of the Study:
- To investigate the temporal structure of complementarity between photovoltaic and run-of-the-river energy sources in an alpine region.
- To analyze the dominant variability scales of VRE sources and electricity demand.
- To introduce and apply a novel wavelet-based complementarity index for quantifying energy source complementarity.
Main Methods:
- Analysis of dominant temporal variability scales for photovoltaic, run-of-the-river energy, and electricity demand.
- Development and application of a wavelet-based complementarity index to quantify interactions between energy sources.
- Utilizing continuous and discrete wavelet analyses to assess energy balance variability across multiple temporal scales.
Main Results:
- The wavelet-based complementarity index demonstrates scale-dependent variations, offering insights into energy source interactions.
- The index helps explain discrepancies between energy supply and demand within the study area.
- Wavelet analyses identified optimal renewable energy mixes by assessing energy balance variability at different temporal scales.
Conclusions:
- The study presents an effective approach for investigating the temporal-scale dependency of energy balance variance.
- The developed wavelet-based complementarity index is a valuable tool for assessing the potential of VRE combinations.
- The methodology can be extended to analyze more complex energy systems and diverse geographical contexts.
Keywords:
Alpine transectEnergy complementarityRun-of-the river hydropowerSolar powerWavelet analysisMore Related Videos
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