Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect
Variable renewable energy sources display different space-time variability driving the availability of energy generated from these sources. Complementarity among variable renewable energies in time and space allows reducing the variability of power supply and helps matching the electricity demand curve. This work investigates the temporal structure of complementarity along an alpine transect in North-East Italy, considering a 100% renewable energy mix scenario composed by photovoltaic and run-of-the-river energy. We analyze the dominant scales of variability of variable renewable energy sources and electricity demand. In addition, we introduce a new metric, the wavelet-based complementarity index, to quantify the potential complementarity between two different energy sources. We show that this index varies at different temporal scales and it helps explaining the discrepancy between demand and supply in the study area. Continuous and discrete wavelet analyses are applied to assess the energy balance variability at multiple temporal scales and to identify the optimal mix of renewable energies, respectively. This work describes therefore an effective approach to investigate the temporal-scale dependency of the variance in the energy balance and can be further extended to different and more complex situations.
Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect
Variable renewable energy sources display different space-time variability driving the availability of energy generated from these sources. Complementarity among variable renewable energies in time and space allows reducing the variability of power supply and helps matching the electricity demand curve. This work investigates the temporal structure of complementarity along an alpine transect in North-East Italy, considering a 100% renewable energy mix scenario composed by photovoltaic and run-of-the-river energy. We analyze the dominant scales of variability of variable renewable energy sources and electricity demand. In addition, we introduce a new metric, the wavelet-based complementarity index, to quantify the potential complementarity between two different energy sources. We show that this index varies at different temporal scales and it helps explaining the discrepancy between demand and supply in the study area. Continuous and discrete wavelet analyses are applied to assess the energy balance variability at multiple temporal scales and to identify the optimal mix of renewable energies, respectively. This work describes therefore an effective approach to investigate the temporal-scale dependency of the variance in the energy balance and can be further extended to different and more complex situations.
Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect
Perez Ciria T. (Autor:in) / Puspitarini H. D. (Autor:in) / Chiogna G. (Autor:in) / Francois B. (Autor:in) / Borga M. (Autor:in) / Perez Ciria, T. / Puspitarini, H. D. / Chiogna, G. / Francois, B. / Borga, M.
01.01.2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
Hydro and Wind Power Complementarity and Scenarization in Brazil
British Library Conference Proceedings | 2013
|Integration of climate-related energy sources across an alpine transect
BASE | 2019
|Complementarity between urban land uses: a temporal analysis
Taylor & Francis Verlag | 2024
|Multi-temporal transect analysis of peri-urban developments in Faridabad, India
BASE | 2018
|Alpine pipeline for hydro plant
Online Contents | 2006