A reverse engineering approach across small hydropower plants: a hidden treasure of hydrological data?

Sakki, Georgia-Konstantina; Tsoukalas, Ioannis; Efstratiadis, Andreas

doi:10.1080/02626667.2021.2000992

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Our analysis indicates that this hydrograph is very suitable for areas such as Thessaly and similar ones in Greece for properly representing the highly complex flood-retention processes across large-scale agricultural basins. Next, following the idea by Sakki et al [67], we attempted to reconstruct the hypothetical response of the Peneus basin in the absence of retentions due to inundations, as well as in the absence of the flood event that took place 23 days after Storm Daniel. In this respect, we extrapolated the groundwater recession function in the forward and backward directions and also extrapolated the rising limb forward, assuming that this is approximated by a linear function (Figure 11).…”

Section: Insight Into the Outflow Hydrograph (Tempi Station)mentioning

confidence: 99%

Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks

Dimitriou,

Efstratiadis,

Zotou

et al. 2024

Water

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Storm Daniel initiated on 3 September 2023, over the Northeastern Aegean Sea, causing extreme rainfall levels for the following four days, reaching an average of about 360 mm over the Peneus basin, in Thessaly, Central Greece. This event led to extensive floods, with 17 human lives lost and devastating environmental and economic impacts. The automatic water-monitoring network of the HIMIOFoTS National Research Infrastructure captured the evolution of the phenomenon and the relevant hydrometeorological (rainfall, water stage, and discharge) measurements were used to analyse the event’s characteristics. The results indicate that the average rainfall’s return period was up to 150 years, the peak flow close to the river mouth reached approximately 1950 m3/s, and the outflow volume of water to the sea was 1670 hm3. The analysis of the observed hydrographs across Peneus also provided useful lessons from the flood-engineering perspective regarding key modelling assumptions and the role of upstream retentions. Therefore, extending and supporting the operation of the HIMIOFoTS infrastructure is crucial to assist responsible authorities and local communities in reducing potential damages and increasing the socioeconomic resilience to natural disasters, as well as to improve the existing knowledge with respect to extreme flood-simulation approaches.

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Section: Insight Into the Outflow Hydrograph (Tempi Station)mentioning

confidence: 99%

Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks

Dimitriou,

Efstratiadis,

Zotou

et al. 2024

Water

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“…In our case, we considered the use of four wind turbines, i.e., two large ones with 2.3 MW and two small ones with 0.9 MW of nominal power, respectively, distanced at 400 m. It is important to remark that the greater distance between the turbines might initially seem ideal, since the associated wind speed reduction is reduced; however, it does not necessarily result in optimal layouts [35]. The wind power production for a given wind speed value is calculated by the analytical formula, introduced by Sakki et al [36]:…”

Section: Configuration and Key Assumptions Of The Simulationmentioning

confidence: 99%

Mixing Renewable Energy with Pumped Hydropower Storage: Design Optimization under Uncertainty and Other Challenges

Zisos,

Sakki,

Efstratiadis

2023

Sustainability

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Hybrid renewable energy systems, complemented by pumped hydropower storage, have become increasingly popular amidst the increase in renewable energy penetration. Such configurations are even more prosperous in remote regions that are typically not connected to the mainland power grid, where the energy independence challenge intensifies. This research focuses on the design of such systems from the perspective of establishing an optimal mix of renewable sources that takes advantage of their complementarities and synergies, combined with the versatility of pumped hydropower storage. However, this design is subject to substantial complexities, due to the multiple objectives and constraints to fulfill, on the one hand, and the inherent uncertainties, on the other, which span over all the underlying processes, i.e., external and internal. In this vein, we utilize a proposed hybrid renewable energy system layout for the Aegean Island of Sifnos, Greece, to develop and evaluate a comprehensive simulation-optimization scheme in deterministic and, eventually, stochastic settings, revealing the design problem under the umbrella of uncertainty. In particular, we account for three major uncertain elements, namely, wind velocity (natural process), energy demand (anthropogenic process), and wind-to-power conversion (internal process, expressed in terms of a probabilistic power curve). Emphasis is also given to the decision-making procedure regarding the system’s key design parameters (reservoir size and solar power capacity), which is achieved by thoroughly interpreting the uncertainty-aware optimization outcomes. Finally, since the proposed pumped hydropower storage uses the sea as the lower reservoir, additional technical challenges are addressed.

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Stochastic simulation-optimization framework for the design and assessment of renewable energy systems under uncertainty

Sakki¹,

Tsoukalas²,

Kossieris³

et al. 2022

Renewable and Sustainable Energy Reviews

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A reverse engineering approach across small hydropower plants: a hidden treasure of hydrological data?

Cited by 6 publications

References 30 publications

Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks

Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks

Mixing Renewable Energy with Pumped Hydropower Storage: Design Optimization under Uncertainty and Other Challenges

Stochastic simulation-optimization framework for the design and assessment of renewable energy systems under uncertainty

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