IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3567-d1439227.html

Optimal Operation of an Industrial Microgrid within a Renewable Energy Community: A Case Study of a Greentech Company

Author

Listed:
  • Matteo Fresia

    (Department of Electrical, Electronics, and Telecommunication Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a, 16145 Genoa, Italy)

  • Tommaso Robbiano

    (Department of Electrical, Electronics, and Telecommunication Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a, 16145 Genoa, Italy)

  • Martina Caliano

    (Department of Energy Technologies and Renewable Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy)

  • Federico Delfino

    (Department of Electrical, Electronics, and Telecommunication Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a, 16145 Genoa, Italy)

  • Stefano Bracco

    (Department of Electrical, Electronics, and Telecommunication Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a, 16145 Genoa, Italy)

Abstract

The integration of renewable energy sources in the European power system is one of the main goals set by the European Union. In order to ease this integration, in recent years, Renewable Energy Communities (RECs) have been introduced that aim to increase the exploitation of renewable energy at the local level. This paper presents an Energy Management System (EMS) for an industrial microgrid owned and operated by a greentech company located in the north of Italy. The company is a member of an REC. The microgrid is made of interconnected busbars, integrating photovoltaic power plants, a fleet of electric vehicles, including company cars and delivery trucks supporting Vehicle-to-Grid (V2G), dedicated charging stations, and a centralized battery energy storage system. The industrial site includes two warehouses, an office building, and a connection to the external medium-voltage network. The EMS is designed to optimize the operation of the microgrid and minimize the operating costs related to the sale and purchase of energy from the external network. Furthermore, as the company is a member of an REC, the EMS must try to follow a desired power exchange profile with the grid, suggested by the REC manager, with the purpose of maximizing the energy that is shared within the community and incentivized. The results demonstrate that, when minimizing only costs, local self-consumption is favored, leading to a Self-Sufficiency Rate (SSR) of 65.37%. On the other hand, when only the adherence to the REC manager’s desired power exchange profile is considered in the objective function, the SSR decreases to 56.43%, net operating costs increase, and the energy shared within the REC is maximized.

Suggested Citation

  • Matteo Fresia & Tommaso Robbiano & Martina Caliano & Federico Delfino & Stefano Bracco, 2024. "Optimal Operation of an Industrial Microgrid within a Renewable Energy Community: A Case Study of a Greentech Company," Energies, MDPI, vol. 17(14), pages 1-29, July.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3567-:d:1439227
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/14/3567/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/14/3567/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Xiaohui & Leng, Zhengyang & Xu, Shaoping & Yang, Chunsheng & Yang, Li & Liu, Kang & Song, Yaoren & Zhang, Liufang, 2021. "Multi-objective optimal scheduling for CCHP microgrids considering peak-load reduction by augmented ε-constraint method," Renewable Energy, Elsevier, vol. 172(C), pages 408-423.
    2. Weckesser, Tilman & Dominković, Dominik Franjo & Blomgren, Emma M.V. & Schledorn, Amos & Madsen, Henrik, 2021. "Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage," Applied Energy, Elsevier, vol. 301(C).
    3. Cosic, Armin & Stadler, Michael & Mansoor, Muhammad & Zellinger, Michael, 2021. "Mixed-integer linear programming based optimization strategies for renewable energy communities," Energy, Elsevier, vol. 237(C).
    4. Pham, An & Jin, Tongdan & Novoa, Clara & Qin, Jin, 2019. "A multi-site production and microgrid planning model for net-zero energy operations," International Journal of Production Economics, Elsevier, vol. 218(C), pages 260-274.
    5. Fiaschi, Daniele & Bandinelli, Romeo & Conti, Silvia, 2012. "A case study for energy issues of public buildings and utilities in a small municipality: Investigation of possible improvements and integration with renewables," Applied Energy, Elsevier, vol. 97(C), pages 101-114.
    6. Corsini, Alessandro & Delibra, Giovanni & Pizzuti, Isabella & Tajalli-Ardekani, Erfan, 2023. "Challenges of renewable energy communities on small Mediterranean islands: A case study on Ponza island," Renewable Energy, Elsevier, vol. 215(C).
    7. Markus Fleschutz & Markus Bohlayer & Marco Braun & Michael D. Murphy, 2023. "From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company," Papers 2301.07997, arXiv.org.
    8. Kostelac, Matija & Pavić, Ivan & Zhang, Ning & Capuder, Tomislav, 2022. "Uncertainty modelling of an industry facility as a multi-energy demand response provider," Applied Energy, Elsevier, vol. 307(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tancredi Testasecca & Francesco Bellesini & Diego Arnone & Marco Beccali, 2025. "A Digital Twin for Real-Time and Predictive Optimization of Electric Vehicle Charging in Microgrids Integrating Renewable Energy Sources," Energies, MDPI, vol. 18(21), pages 1-26, October.
    2. Wei-Tzer Huang & Wu-Chun Chung & Chao-Chin Wu & Tse-Yun Huang, 2024. "A Parallel Framework for Fast Charge/Discharge Scheduling of Battery Storage Systems in Microgrids," Energies, MDPI, vol. 17(24), pages 1-21, December.
    3. Alice La Fata & Giulio Caprara & Riccardo Barilli & Renato Procopio, 2025. "A Classification Algorithm for Revenue Range Estimation in Ancillary Service Markets," Energies, MDPI, vol. 18(19), pages 1-20, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shoaib Ahmed & Amjad Ali & Antonio D’Angola, 2024. "A Review of Renewable Energy Communities: Concepts, Scope, Progress, Challenges, and Recommendations," Sustainability, MDPI, vol. 16(5), pages 1-34, February.
    2. Mariuzzo, Ivan & Fina, Bernadette & Stroemer, Stefan & Corinaldesi, Carlo & Raugi, Marco, 2025. "Grid-friendly optimization of energy communities through enhanced multiple participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 208(C).
    3. Felice, Alex & Rakocevic, Lucija & Peeters, Leen & Messagie, Maarten & Coosemans, Thierry & Ramirez Camargo, Luis, 2022. "Renewable energy communities: Do they have a business case in Flanders?," Applied Energy, Elsevier, vol. 322(C).
    4. Vallati, Andrea & Lo Basso, Gianluigi & Muzi, Francesco & Fiorini, Costanza Vittoria & Pastore, Lorenzo Mario & Di Matteo, Miriam, 2024. "Urban energy transition: Sustainable model simulation for social house district," Energy, Elsevier, vol. 308(C).
    5. Pagnini, Luisa & Bracco, Stefano & Delfino, Federico & de-Simón-Martín, Miguel, 2024. "Levelized cost of electricity in renewable energy communities: Uncertainty propagation analysis," Applied Energy, Elsevier, vol. 366(C).
    6. De Bettin, F. & Minuto, F.D. & Schiera, D.S. & Lanzini, A., 2025. "Evaluating uncertainty of shared energy in solar energy communities using a stochastic simulation framework," Renewable Energy, Elsevier, vol. 243(C).
    7. Hajo Terbrack & Thorsten Claus & Frank Herrmann, 2021. "Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme," Sustainability, MDPI, vol. 13(23), pages 1-32, December.
    8. Lazzari, Florencia & Mor, Gerard & Cipriano, Jordi & Solsona, Francesc & Chemisana, Daniel & Guericke, Daniela, 2023. "Optimizing planning and operation of renewable energy communities with genetic algorithms," Applied Energy, Elsevier, vol. 338(C).
    9. Portilla-Paveri, Manuel & Cariaga, Denise & Negrete-Pincetic, Matías & Lorca, Álvaro & Anjos, Miguel F., 2024. "A long-term generation and transmission expansion planning model considering desalination flexibility and coordination: A Chilean case study," Applied Energy, Elsevier, vol. 371(C).
    10. Yuanyuan He & Luxin Wan & Manli Zhang & Huijuan Zhao, 2022. "Regional Renewable Energy Installation Optimization Strategies with Renewable Portfolio Standards in China," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    11. Luca Brunelli & Emiliano Borri & Anna Laura Pisello & Andrea Nicolini & Carles Mateu & Luisa F. Cabeza, 2024. "Thermal Energy Storage in Energy Communities: A Perspective Overview through a Bibliometric Analysis," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    12. Leippi, Andre & Fleschutz, Markus & Davis, Kevin & Klingler, Anna-Lena & Murphy, Michael D., 2024. "Optimizing electric vehicle fleet integration in industrial demand response: Maximizing vehicle-to-grid benefits while compensating vehicle owners for battery degradation," Applied Energy, Elsevier, vol. 374(C).
    13. Cai, Shanshan & Yang, Juncheng & Zou, Yuqi & Hua, Zhipeng & Li, Song & Tu, Zhengkai, 2025. "Energy-exergy-emergy optimization analysis designed for combined cooling and power systems driven by proton-exchange membrane fuel cell," Energy, Elsevier, vol. 329(C).
    14. Galindo Noguera, Ana Lisbeth & Mendoza Castellanos, Luis Sebastián & Ardila Cruz, Sebastian & Osorio-Gómez, Gilberto, 2025. "Key aspects and challenges for successful energy communities: A comparative analysis between Latin America and developed countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
    15. Luka Budin & Marko Delimar, 2025. "Renewable Energy Community Sizing Based on Stochastic Optimization and Unsupervised Clustering," Sustainability, MDPI, vol. 17(2), pages 1-25, January.
    16. Hua, Lyu-Guang & Hafeez, Ghulam & Alghamdi, Baheej & Alghamdi, Hisham & Khan, Farrukh Aslam & Ullah, Safeer, 2025. "Demand response with pricing schemes and consumers mode constraints for energy balancing in smart grids," Applied Energy, Elsevier, vol. 377(PB).
    17. De Blasis, Riccardo & Pacelli, Graziella & Vergine, Salvatore, 2026. "Investment valuation of photovoltaic and energy storage systems for diverse energy communities: A real option approach," Applied Energy, Elsevier, vol. 404(C).
    18. Ruben Barreto & Calvin Gonçalves & Luis Gomes & Pedro Faria & Zita Vale, 2022. "Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Participate in Demand Response," Energies, MDPI, vol. 15(7), pages 1-18, March.
    19. Goran Dobric & Mileta Zarkovic, 2024. "Towards Sustainable Energy Communities: Integrating Time-of-Use Pricing and Techno-Economic Analysis for Optimal Design—A Case Study of Valongo, Portugal," Energies, MDPI, vol. 17(14), pages 1-16, July.
    20. Andrea Marchioni & Carlo Alberto Magni & Davide Baschieri, 2020. "Investment and Financing Perspectives for a Solar Photovoltaic Project," MIC 2020: The 20th Management International Conference,, University of Primorska Press.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3567-:d:1439227. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.