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Computer Model for a Wind–Diesel Hybrid System with Compressed Air Energy Storage

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  • Nicolas Martinez

    (Laboratoire de Recherche en Énergie Éolienne, Université du Québec à Rimouski, Québec, QC G5L 3A1, Canada)

  • Youssef Benchaabane

    (Laboratoire de Recherche en Énergie Éolienne, Université du Québec à Rimouski, Québec, QC G5L 3A1, Canada)

  • Rosa Elvira Silva

    (Institut Technologique de Maintenance Industrielle, Cégep de Sept-Îles, Sept-Îles, QC G4R 5B7, Canada
    Groupe de Recherche en Électronique de Puissance et Commande Industrielle, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada)

  • Adrian Ilinca

    (Laboratoire de Recherche en Énergie Éolienne, Université du Québec à Rimouski, Québec, QC G5L 3A1, Canada)

  • Hussein Ibrahim

    (Institut Technologique de Maintenance Industrielle, Cégep de Sept-Îles, Sept-Îles, QC G4R 5B7, Canada)

  • Ambrish Chandra

    (Groupe de Recherche en Électronique de Puissance et Commande Industrielle, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada)

  • Daniel R. Rousse

    (Groupe de Recherche Industrielle en Technologies de l’Énergie et en Efficacité Énergétique, École de Technologie Supérieure, Montréal, QC H3C 1K3, Canada)

Abstract

A hybrid system combines two or more energy sources as an integrated unit to generate electricity. The nature of the sources associated varies between renewable and/or non-renewable energies. Such systems are becoming popular as stand-alone power systems to provide electricity, especially in off grid remote areas where diesel generators act as primary energy source. Wind–diesel systems are among the preferred solutions for new installations, as well as the upgrade of existing ones. However, efforts to address technical challenges towards energy transformation for sustainable development are multiple. The use of energy storage systems is a solution to reduce energy costs and environmental impacts. Indeed, efficient and distributed storage not only allows the electricity grid greater flexibility in the face of demand variations and greater robustness thanks to the decentralization of energy sources, it also offers a solution to increase the use of intermittent renewables in the energy mix. Among different technologies for electrical energy storage, compressed air energy storage is proven to achieve high wind energy penetration and optimal operation of diesel generators. This paper presents a computer model for performance evaluation of a wind–diesel hybrid system with compressed air energy storage. The model has been validated by comparing the results of a wind–diesel case study against those obtained using HOMER software (National Renewable Energy Laboratory, Golden, CO, United States). Different operation modes of the hybrid system are then explored. The impact of hybridization on time and frequency of operation for each power source, fuel consumption and energy dissipation has been determined. Recommendations are made on the choice of key parameters for system optimization.

Suggested Citation

  • Nicolas Martinez & Youssef Benchaabane & Rosa Elvira Silva & Adrian Ilinca & Hussein Ibrahim & Ambrish Chandra & Daniel R. Rousse, 2019. "Computer Model for a Wind–Diesel Hybrid System with Compressed Air Energy Storage," Energies, MDPI, vol. 12(18), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3542-:d:267576
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    References listed on IDEAS

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    Cited by:

    1. Mohammad Akrami & Samuel J. Gilbert & Mahdieh Dibaj & Akbar A. Javadi & Raziyeh Farmani & Alaa H. Salah & Hassan E. S. Fath & Abdelazim Negm, 2020. "Decarbonisation Using Hybrid Energy Solution: Case Study of Zagazig, Egypt," Energies, MDPI, vol. 13(18), pages 1-16, September.
    2. Saffari, Mohammadali & McPherson, Madeleine, 2022. "Assessment of Canada's electricity system potential for variable renewable energy integration," Energy, Elsevier, vol. 250(C).
    3. Rajabzadeh, Hamed & Babazadeh, Reza, 2022. "A game-theoretic approach for power pricing in a resilient supply chain considering a dual channel biorefining structure and the hybrid power plant," Renewable Energy, Elsevier, vol. 198(C), pages 1082-1094.
    4. Youssef Benchaabane & Rosa Elvira Silva & Hussein Ibrahim & Adrian Ilinca & Ambrish Chandra & Daniel R. Rousse, 2019. "Computer Model for Financial, Environmental and Risk Analysis of a Wind–Diesel Hybrid System with Compressed Air Energy Storage," Energies, MDPI, vol. 12(21), pages 1-23, October.
    5. Elena Sosnina & Andrey Dar’enkov & Andrey Kurkin & Ivan Lipuzhin & Andrey Mamonov, 2022. "Review of Efficiency Improvement Technologies of Wind Diesel Hybrid Systems for Decreasing Fuel Consumption," Energies, MDPI, vol. 16(1), pages 1-38, December.
    6. Carlo Baron & Ameena S. Al-Sumaiti & Sergio Rivera, 2020. "Impact of Energy Storage Useful Life on Intelligent Microgrid Scheduling," Energies, MDPI, vol. 13(4), pages 1-23, February.
    7. Javier Solano & Diego Jimenez & Adrian Ilinca, 2020. "A Modular Simulation Testbed for Energy Management in AC/DC Microgrids," Energies, MDPI, vol. 13(16), pages 1-23, August.

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