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  5. Hydropneumatic Storage Methodology Towards a New Era of Hybrid Energy System's Efficiency and Flexibility

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Article
English
2024

Hydropneumatic Storage Methodology Towards a New Era of Hybrid Energy System's Efficiency and Flexibility

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0 Files

English
2024
Results in Engineering
Vol 24
DOI: 10.1016/j.rineng.2024.103117

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Oscar Coronado-hernández
Oscar Coronado-hernández

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João Coelho
Modesto Pérez‐Sánchez
Oscar Coronado-hernández
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Abstract

This research explores the link between hydropneumatic energy storage capacity and the efficiency and flexibility of hybrid energy systems in water-energy solutions. A new methodology is introduced, featuring mathematical models, experimental data collection, and hydraulic simulations using 1D and 2D CFD models for hydropneumatics modeling. A promised energy storage efficiency of around 30–50 % was obtained on a small lab scale. The optimization of hybrid systems through Solver and Python algorithms with various objective functions enables optimal design choices tailored to specific needs such as drinking water supply, irrigation, or industrial processes. Hydropneumatic vessels emerge as an effective storage solution, combining pumped storage and hydropower in one circuit. When integrated with renewable sources, such as solar (PV) and wind energy, they offer a flexible, long-lasting energy management system, applicable across different water-energy sectors to support Sustainable Development Goals. A case study with 4.8 Mm³/year water allocation, producing 1000 MWh of hydropower and 13500 MWh of solar energy, achieved 100 % water reliability and a 25-year cash flow of 2.5 million euros.

How to cite this publication

João Coelho, Modesto Pérez‐Sánchez, Oscar Coronado-hernández, Mohsen Besharat, Rui-Lin Feng, Elias Tasca, Ling Zhou, Helena M. Ramos (2024). Hydropneumatic Storage Methodology Towards a New Era of Hybrid Energy System's Efficiency and Flexibility. Results in Engineering, 24, pp. 103117-103117, DOI: 10.1016/j.rineng.2024.103117.

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Publication Details

Type

Article

Year

2024

Authors

8

Datasets

0

Total Files

0

Language

English

Journal

Results in Engineering

DOI

10.1016/j.rineng.2024.103117

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