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Intelligent Micro-Cogeneration Systems for Residential Grids: A Sustainable Solution for Efficient Energy Management

Author

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  • Daniel Cardoso

    (Department of Electromechanical Engineering, Faculty of Engineering, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
    C-MAST-Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilhã, Portugal)

  • Daniel Nunes

    (C-MAST-Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilhã, Portugal)

  • João Faria

    (Department of Electromechanical Engineering, Faculty of Engineering, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
    Instituto de Telecomunicações, Universidade da Beira Interior, 6201-001 Covilhã, Portugal)

  • Paulo Fael

    (Department of Electromechanical Engineering, Faculty of Engineering, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
    C-MAST-Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilhã, Portugal)

  • Pedro D. Gaspar

    (Department of Electromechanical Engineering, Faculty of Engineering, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
    C-MAST-Centre for Mechanical and Aerospace Science and Technologies, 6201-001 Covilhã, Portugal)

Abstract

This paper presents an optimization approach for Micro-cogeneration systems with internal combustion engines integrated into residential grids, addressing power demand failures caused by intermittent renewable energy sources. The proposed method leverages machine learning techniques, control strategies, and grid data to improve system flexibility and efficiency in meeting electricity and domestic hot water demands. Historical residential grid data were analysed to develop a machine learning-based demand prediction model for electricity and hot water. Thermal energy storage was integrated into the Micro-cogeneration system to enhance flexibility. An optimization model was created, considering efficiency, emissions, and cost while adapting to real-time demand changes. A control strategy was designed for the flexible operation of the Micro-cogeneration system, addressing excess thermal energy storage and resource allocation. The proposed solution’s effectiveness was validated through simulations, with results demonstrating the Micro-cogeneration system’s ability to efficiently address high electricity and hot water demand periods while mitigating power demand failures from renewable energy sources. The research presents a novel approach with the potential to significantly improve grid resilience, energy efficiency, and renewable energy integration in residential grids, contributing to more sustainable and reliable energy systems.

Suggested Citation

  • Daniel Cardoso & Daniel Nunes & João Faria & Paulo Fael & Pedro D. Gaspar, 2023. "Intelligent Micro-Cogeneration Systems for Residential Grids: A Sustainable Solution for Efficient Energy Management," Energies, MDPI, vol. 16(13), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5215-:d:1188577
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    References listed on IDEAS

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    4. Eun-Chul Kang & Euy-Joon Lee & Mohamed Ghorab & Libing Yang & Evgueniy Entchev & Kwang-Seob Lee & Nam-Jin Lyu, 2016. "Investigation of Energy and Environmental Potentials of a Renewable Trigeneration System in a Residential Application," Energies, MDPI, vol. 9(9), pages 1-17, September.
    5. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    6. Mandelli, Stefano & Brivio, Claudio & Colombo, Emanuela & Merlo, Marco, 2016. "A sizing methodology based on Levelized Cost of Supplied and Lost Energy for off-grid rural electrification systems," Renewable Energy, Elsevier, vol. 89(C), pages 475-488.
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    Cited by:

    1. Dawid Czajor & Łukasz Amanowicz, 2024. "Methodology for Modernizing Local Gas-Fired District Heating Systems into a Central District Heating System Using Gas-Fired Cogeneration Engines—A Case Study," Sustainability, MDPI, vol. 16(4), pages 1-30, February.

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