IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3567-d1439227.html
   My bibliography  Save this article

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. 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.
    2. 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.
    3. 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).
    4. 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).
    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.
    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. 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.

    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. 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.
    2. 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).
    3. 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).
    4. 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.
    5. Raatikainen, Mika & Skön, Jukka-Pekka & Leiviskä, Kauko & Kolehmainen, Mikko, 2016. "Intelligent analysis of energy consumption in school buildings," Applied Energy, Elsevier, vol. 165(C), pages 416-429.
    6. Shen, Xiaojun & Li, Xingyi & Yuan, Jiahai & Jin, Yu, 2022. "A hydrogen-based zero-carbon microgrid demonstration in renewable-rich remote areas: System design and economic feasibility," Applied Energy, Elsevier, vol. 326(C).
    7. Dusan Gordic & Vladimir Vukasinovic & Zoran Kovacevic & Mladen Josijevic & Dubravka Zivkovic, 2021. "Assessing the Techno-Economic Effects of Replacing Energy-Inefficient Street Lighting with LED Corn Bulbs," Energies, MDPI, vol. 14(13), pages 1-16, June.
    8. Rabea Jamil Mahfoud & Nizar Faisal Alkayem & Emmanuel Fernandez-Rodriguez & Yuan Zheng & Yonghui Sun & Shida Zhang & Yuquan Zhang, 2024. "Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks," Mathematics, MDPI, vol. 12(2), pages 1-33, January.
    9. Ivo Araújo & Leonel J. R. Nunes & António Curado, 2023. "Photovoltaic Production Management under Constrained Regulatory Requirements: A Step towards a Local Energy Community Creation," Energies, MDPI, vol. 16(22), pages 1-19, November.
    10. João Faria & Carlos Marques & José Pombo & Sílvio Mariano & Maria do Rosário Calado, 2023. "Optimal Sizing of Renewable Energy Communities: A Multiple Swarms Multi-Objective Particle Swarm Optimization Approach," Energies, MDPI, vol. 16(21), pages 1-33, October.
    11. Akihiko Takada & Hiromasa Ijuin & Masayuki Matsui & Tetsuo Yamada, 2023. "Seasonal Analysis and Capacity Planning of Solar Energy Demand-to-Supply Management: Case Study of a Logistics Distribution Center," Energies, MDPI, vol. 17(1), pages 1-23, December.
    12. Brucke, Karoline & Schlüters, Sunke & Hanke, Benedikt & Agert, Carsten & von Maydell, Karsten, 2025. "System friendliness of distributed resources in sustainable energy systems," Applied Energy, Elsevier, vol. 377(PC).
    13. Pierro, Marco & Cornaro, Cristina & Moser, David & Perez, Richard & Perez, Marc & Zambotti, Stefano & Barchi, Grazia, 2024. "Ground-breaking approach to enabling fully solar renewable energy communities," Renewable Energy, Elsevier, vol. 237(PA).
    14. Carolina dos Santos Castilho & João Paulo N. Torres & Carlos A. Ferreira Fernandes & Ricardo A. Marques Lameirinhas, 2021. "Study on the Implementation of a Solar Photovoltaic System with Self-Consumption in an Educational Building," Energies, MDPI, vol. 14(8), pages 1-17, April.
    15. Mimica, Marko & Dominković, Dominik F. & Kirinčić, Vedran & Krajačić, Goran, 2022. "Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago," Applied Energy, Elsevier, vol. 305(C).
    16. Berg, Kjersti & Foslie, Sverre Stefanussen & Farahmand, Hossein, 2024. "Industrial energy communities: Energy storage investment, grid impact and cost distribution," Applied Energy, Elsevier, vol. 373(C).
    17. Haolin Li & Shuaian Wang & Lu Zhen & Xiaofan Wang, 2024. "Data-driven optimization for automated warehouse operations decarbonization," Annals of Operations Research, Springer, vol. 343(3), pages 1129-1156, December.
    18. Duan, Jiandong & Liu, Fan & Yang, Yao, 2022. "Optimal operation for integrated electricity and natural gas systems considering demand response uncertainties," Applied Energy, Elsevier, vol. 323(C).
    19. Yuan, Meng & Sorknæs, Peter & Lund, Henrik & Liang, Yongtu, 2022. "The bidding strategies of large-scale battery storage in 100% renewable smart energy systems," Applied Energy, Elsevier, vol. 326(C).
    20. 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).

    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 (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.