IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i14p3375-d1432022.html
   My bibliography  Save this article

Towards Sustainable Energy Communities: Integrating Time-of-Use Pricing and Techno-Economic Analysis for Optimal Design—A Case Study of Valongo, Portugal

Author

Listed:
  • Goran Dobric

    (School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000 Belgrade, Serbia)

  • Mileta Zarkovic

    (School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000 Belgrade, Serbia)

Abstract

This paper presents a comprehensive analysis of optimal energy community design, leveraging time-of-use pricing mechanisms and techno-economic parameters. Focusing on a case study of Valongo, Portugal, this study explores the intricate interplay between energy infrastructure planning, economic considerations, and pricing dynamics. Through a systematic approach, various factors, such as renewable energy integration, demand–response strategies, and investment costs, are evaluated to formulate an efficient and sustainable energy community model. Time-of-use pricing schemes are incorporated to reflect the dynamic nature of energy markets and consumer behavior. By integrating techno-economic analyses, this study aims to optimize energy resource allocation while ensuring cost-effectiveness and environmental sustainability. The influence of optimized sizes of photovoltaics (PV), battery storage, and electrical vehicles (EVs) on self-sufficiency rates, self-consumption rates and CO 2 savings is analyzed. The findings offer valuable insights into the design and implementation of energy communities in urban settings, highlighting the importance of adaptive strategies in the transition towards a resilient and low-carbon energy future. The novelty of this paper lies in its comprehensive approach to energy community design, which integrates time-of-use pricing mechanisms with techno-economic parameters. By focusing on the specific case of Valongo, Portugal, it addresses the unique challenges and opportunities present in urban settings. Additionally, the analysis considers the interaction between renewable energy production, demand profiles and investment costs, providing valuable insights for optimizing resource allocation and achieving both cost-effectiveness and environmental sustainability.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3375-:d:1432022
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/14/3375/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/14/3375/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. Fritz Braeuer & Max Kleinebrahm & Elias Naber & Fabian Scheller & Russell McKenna, 2021. "Optimal system design for energy communities in multi-family buildings: the case of the German Tenant Electricity Law," Papers 2105.11195, arXiv.org.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Mateo Mogrovejo-Narvaez & Antonio Barragán-Escandón & Esteban Zalamea-León & Xavier Serrano-Guerrero, 2024. "Barriers to the Implementation of On-Grid Photovoltaic Systems in Ecuador," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. Tan, Mao & Li, Zibin & Su, Yongxin & Ren, Yuling & Wang, Ling & Wang, Rui, 2024. "Dual time-scale robust optimization for energy management of distributed energy community considering source-load uncertainty," Renewable Energy, Elsevier, vol. 226(C).
    9. Bruck, Axel & Díaz Ruano, Santiago & Auer, Hans, 2022. "One piece of the puzzle towards 100 Positive Energy Districts (PEDs) across Europe by 2025: An open-source approach to unveil favourable locations of PV-based PEDs from a techno-economic perspective," Energy, Elsevier, vol. 254(PA).
    10. Luigi Scarcello & Andrea Giordano & Carlo Mastroianni, 2022. "Edge Computing Parallel Approach for Efficient Energy Sharing in a Prosumer Community," Energies, MDPI, vol. 15(13), pages 1-24, June.
    11. Feijoo, Felipe & Kundu, Abhishake & Flores, Francisco & Matamala, Yolanda, 2024. "Photovoltaic sizing assessment for microgrid communities under load shifting constraints and endogenous electricity prices: A Stackelberg approach," Energy, Elsevier, vol. 307(C).
    12. Hamza Gribiss & Mohammad Mohsen Aghelinejad & Farouk Yalaoui, 2023. "Configuration Selection for Renewable Energy Community Using MCDM Methods," Energies, MDPI, vol. 16(6), pages 1-23, March.
    13. Asad Ali & Muhammad Salman Fakhar & Syed Abdul Rahman Kashif & Ghulam Abbas & Irfan Ahmad Khan & Akhtar Rasool & Nasim Ullah, 2022. "Optimal Scheduling of Neural Network-Based Estimated Renewable Energy Nanogrid," Energies, MDPI, vol. 15(23), pages 1-31, November.
    14. Elisa Moretti & Ettore Stamponi, 2023. "The Renewable Energy Communities in Italy and the Role of Public Administrations: The Experience of the Municipality of Assisi between Challenges and Opportunities," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    15. Aristeidis Mystakidis & Paraskevas Koukaras & Nikolaos Tsalikidis & Dimosthenis Ioannidis & Christos Tjortjis, 2024. "Energy Forecasting: A Comprehensive Review of Techniques and Technologies," Energies, MDPI, vol. 17(7), pages 1-33, March.
    16. Houben, Nikolaus & Cosic, Armin & Stadler, Michael & Mansoor, Muhammad & Zellinger, Michael & Auer, Hans & Ajanovic, Amela & Haas, Reinhard, 2023. "Optimal dispatch of a multi-energy system microgrid under uncertainty: A renewable energy community in Austria," Applied Energy, Elsevier, vol. 337(C).
    17. Matschegg, Doris & Carlon, Elisa & Sturmlechner, Rita & Sonnleitner, Andrea & Fuhrmann, Marilene & Dißauer, Christa & Strasser, Christoph & Enigl, Monika, 2023. "Investigation of individual motives and decision paths on residential energy supply systems," Energy, Elsevier, vol. 281(C).
    18. 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.
    19. 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).
    20. Aruta, Giuseppe & Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria, 2023. "Sustainability and energy communities: Assessing the potential of building energy retrofit and renewables to lead the local energy transition," Energy, Elsevier, vol. 282(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:3375-:d:1432022. 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.