Hydropower Advantages over Batteries in Energy Storage of Off-Grid Systems: A Case Study

Author:

Guruprasad Prajwal1,Quaranta Emanuele2ORCID,Coronado-Hernández Oscar3ORCID,Ramos Helena4ORCID

Affiliation:

1. Energy Technologies Dual Degree Program, Instituto Superior Tecnico and Karlsruhe Institute of Technology, CERIS at IST, 1049-001 Lisbon, Portugal

2. European Commission Joint Research Centre, 21027 Ispra, Italy

3. Facultad de Ingeniería, Universidad Tecnológica de Bolívar, Cartagena 131001, Colombia

4. Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico, Department of Civil Engineering, Architecture and Environment, University of Lisbon, 1049-001 Lisbon, Portugal

Abstract

Microgrids are decentralized power production systems, where the energy production and consumption are very close to each other. Microgrids generally exploit renewable energy sources, encountering a problem of storage, as the power production from solar and wind is intermittent. This research presents a new integrated methodology and discusses a comparison of batteries and pumped storage hydropower (PSH) as energy storage systems with the integration of wind and solar PV energy sources, which are the major upcoming technologies in the renewable energy sector. We implemented the simulator and optimizer model (HOMER), which develops energy availability usage to obtain optimized renewable energy integration in the microgrid, showing its economic added value. Two scenarios are run with this model—one considers batteries as an energy storage technology and the other considers PSH—in order to obtain the best economic and technical results for the analyzed microgrid. The economic analysis showed a lower net present cost (NPC) and levelized cost of energy (LCOE) for the microgrid with PSH. The results showed that the microgrid with the storage of PSH was economical, with an NPC of 45.8 M€ and an LCOE of 0.379 €/kWh, in comparison with the scenario with batteries, which had an NPC of 95.2 M€ and an LCOE of 0.786 €/kWh. The role of storage was understood by differentiating the data into different seasons, using a Python model. Furthermore, a sensitivity analysis was conducted by varying the capital cost multiplier of solar PV and wind turbines to obtain the best optimal economic solutions.

Funder

Foundation for Science and Technology

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference37 articles.

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2. IEA (2022). Electricity Market Report–July 2022, IEA. Available online: https://www.iea.org/reports/electricity-market-report-july-2022.

3. IRENA (2021). Renewable Energy Statistics 2021, The International Renewable Energy Agency.

4. Energy-Charts (2023, April 10). Public Net Electricity Generation in Portugal in 2022. Available online: https://energy-charts.info/charts/energy_pie/chart.htm?l=en&c=PT&year=2022&interval=year.

5. Ramos, H.M., Vargas, B., and Saldanha, J.R. (2022). New Integrated Energy Solution Idealization: Hybrid for Renewable Energy Network (Hy4REN). Energies, 15.

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