Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect

Ciria, Teresa Pérez; Puspitarini, Handriyanti Diah; Chiogna, Gabriele; François, Baptiste; Borga, Marco

doi:10.1016/j.scitotenv.2020.140179

Cited by 13 publications

(4 citation statements)

References 63 publications

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“…The results from the WTC are displayed in Figures S3–S4 in Supporting Information . The CWTs of the rivers' head time series (Figures 2a–2c) reveal a signal at the subdaily (∼12 hr), daily and weekly scales, which are associated to hydropower production (Pérez Ciria et al., 2020). The signals are particularly intense in the Noce River, except at the beginning of 2023, when the operation of the hydropower plant changed due to low water levels in the upstream dam caused by the drought period of 2022 (Faranda et al., 2023; Koehler et al., 2022).…”

Section: Resultsmentioning

confidence: 99%

Indicators for the Assessment of the Impact of Hydropeaking on Aquifers

Basilio Hazas,

Marcolini,

Wohlmuth

et al. 2024

Geophysical Research Letters

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The operation of hydropower plants leads to sudden changes in river stage and to a flow regime known as hydropeaking. Hydropeaking alters the morphology of the riverbed and water quality, and ultimately poses a risk to riverine ecosystems. While many indicators are available to quantitatively assess this problem in rivers, the impact of hydropeaking on aquifers is largely unknown and lacks of quantitative indicators. We analyze with wavelet techniques the spatial and temporal dynamics of surface water‐groundwater interaction in an aquifer impacted by two differently regulated rivers. We propose four indicators to study the aquifer stress produced by hydropeaking and classify the observed groundwater head time series into weakly, moderately and highly impacted. This study opens the possibility for a quantitative assessment of the impact of hydropeaking on the groundwater ecosystem.

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Section: Resultsmentioning

confidence: 99%

Indicators for the Assessment of the Impact of Hydropeaking on Aquifers

Basilio Hazas,

Marcolini,

Wohlmuth

et al. 2024

Geophysical Research Letters

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“…The most common metric for a pair of renewable sources to assess their complementarity is any variant of the correlation coefficient (Pearson, Spearman's, Kendall's, autocorrelation, cross-correlation) [2]. However, depending on the nature of the performed analysis, many other metrics and indices have been proposed, including the robust coefficient of variation, time-complementarity index [4], wavelet-based complementarity index [5], and several metrics that assess the reliability of the cogeneration (e.g., Loss of load probability, Load tracking index, the stability coefficient, and others) [6].…”

Section: Introductionmentioning

confidence: 99%

Discussion of “Assessing temporal complementarity between three variable energy sources through correlation and compromise programming” F.A. Canales et al. Energy 192 (2020) 116637

Jonasson

Jurasz

Canales

et al. 2023

Energy

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“…In this work, we focus on a river reach that is affected by hydropeaking, i.e., sudden changes in the hydraulic head of the river caused by the operation of hydropower plants. Such fluctuations display some typical periodicity (Pérez Ciria et al 2020) and modify the natural hydrological behavior and hydraulic conditions of the streams (Hauer et al 2017;Meile et al 2011), which can impact the hyporheic zone (Sawyer et al 2009;Singh et al 2019) and propagate to the groundwater (Francis et al 2010;Song et al 2020). Moreover, since hydropeaking may depend on hydrological conditions (Li and Pasternack 2021) and the dynamic behavior of the energy market (Chiogna et al 2018;Pérez Ciria et al 2019;Wagner et al 2015), the stream head fluctuations entail uncertainty related to the peak amplitude and the temporal occurrence of the event.…”

Section: Introductionmentioning

confidence: 99%

Propagation of hydropeaking waves in heterogeneous aquifers: effects on flow topology and uncertainty quantification

et al. 2022

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Topological flow properties are proxies for mixing processes in aquifers and allow us to better understand the mechanisms controlling transport of solutes in the subsurface. However, topological descriptors, such as the Okubo–Weiss metric, are affected by the uncertainty in the solution of the flow problem. While the uncertainty related to the heterogeneous properties of the aquifer has been widely investigated in the past, less attention has been given to the one related to highly transient boundary conditions. We study the effect of different transient boundary conditions associated with hydropeaking events (i.e., artificial river stage fluctuations due to hydropower production) on groundwater flow and the Okubo–Weiss metric. We define deterministic and stochastic modeling scenarios applying four typical settings to describe river stage fluctuations during hydropeaking events: a triangular wave, a sine wave, a complex wave that results of the superposition of two sine waves, and a trapezoidal wave. We use polynomial chaos expansions to quantify the spatiotemporal uncertainty that propagates into the hydraulic head in the aquifer and the Okubo–Weiss. The wave-shaped highly transient boundary conditions influence not only the magnitude of the deformation and rotational forces of the flow field but also the temporal dynamics of dominance between local strain and rotation properties. Larger uncertainties are found in the scenario where the trapezoidal wave was imposed due to sharp fluctuation in the stage. The statistical moments that describe the propagation of the uncertainty highly vary depending on the applied boundary condition. Highlights Deterministic and stochastic scenarios to describe the groundwater flow field under river stage fluctuations during hydropeaking. Propagation of uncertainty of highly transient boundary conditions in the Okubo–Weiss metric. Highly transient boundary conditions can significantly affect mixing potential.

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Multi-temporal scale analysis of complementarity between hydro and solar power along an alpine transect

Cited by 13 publications

References 63 publications

Indicators for the Assessment of the Impact of Hydropeaking on Aquifers

Indicators for the Assessment of the Impact of Hydropeaking on Aquifers

Discussion of “Assessing temporal complementarity between three variable energy sources through correlation and compromise programming” F.A. Canales et al. Energy 192 (2020) 116637

Propagation of hydropeaking waves in heterogeneous aquifers: effects on flow topology and uncertainty quantification

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