IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v282y2023ics0360544223017711.html
   My bibliography  Save this article

Sustainability and energy communities: Assessing the potential of building energy retrofit and renewables to lead the local energy transition

Author

Listed:
  • Aruta, Giuseppe
  • Ascione, Fabrizio
  • Bianco, Nicola
  • Mauro, Gerardo Maria

Abstract

Energy Communities are based on principles of renewables, efficiency, local ownership, to improve energy supply and demand. This study evaluates performance of communities, moving from single buildings to the comprehensive performance. The method combines several tools, including DesignBuilder® and EnergyPlus for simulation, MATLAB® as optimization engine. To determine best options, three retrofit scenarios are compared using three performance indicators: primary energy consumption (PEC), CO2 emission, and running cost (RC). Moreover, evaluation of the investment - with specific economic indicators for helping the citizen to be able to understand the profitability of each individual intervention and so to help him in the choice once an economic constraint - is set. The first retrofit scenario involves insulation of both opaque transparent envelopes, while the second is a retrofit of only systems, through replacement of existing ones and introduction of renewable sources and batteries. Results show how the third scenario - a retrofit trade-off between the first two - offers the greatest PEC, CO2 emission, and RC reduction of 71.35%, 73.42% and 60.52%, respectively. Even from a purely economic view, the third intervention represents a better investment when considering annual economic savings, as shown by increasing net present values.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223017711
    DOI: 10.1016/j.energy.2023.128377
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223017711
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128377?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Volpato, Gabriele & Carraro, Gianluca & Cont, Marco & Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2022. "General guidelines for the optimal economic aggregation of prosumers in energy communities," Energy, Elsevier, vol. 258(C).
    2. Nykyri, Mikko & Kärkkäinen, Tommi J. & Levikari, Saku & Honkapuro, Samuli & Annala, Salla & Silventoinen, Pertti, 2022. "Blockchain-based balance settlement ledger for energy communities in open electricity markets," Energy, Elsevier, vol. 253(C).
    3. Dorahaki, Sobhan & Rashidinejad, Masoud & Fatemi Ardestani, Seyed Farshad & Abdollahi, Amir & Salehizadeh, Mohammad Reza, 2023. "An integrated model for citizen energy communities and renewable energy communities based on clean energy package: A two-stage risk-based approach," Energy, Elsevier, vol. 277(C).
    4. 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).
    5. Liu, Zhijian & Li, Ying & Fan, Guangyao & Wu, Di & Guo, Jiacheng & Jin, Guangya & Zhang, Shicong & Yang, Xinyan, 2022. "Co-optimization of a novel distributed energy system integrated with hybrid energy storage in different nearly zero energy community scenarios," Energy, Elsevier, vol. 247(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. Giuseppe Aruta & Fabrizio Ascione & Romano Fistola & Teresa Iovane, 2024. "The City as a Power Hub for Boosting Renewable Energy Communities: A Case Study in Naples," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    2. De Masi, Rosa Francesca & Gigante, Antonio & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2024. "Experimental and numerical approach for the evaluation of PV-system performance on energy and environmental behavior of nearly zero energy buildings: Case study in Mediterranean climate," Renewable Energy, Elsevier, vol. 227(C).

    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. Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Mansouri, Seyed Amir & Jurado, Francisco, 2023. "A two-stage IGDT-stochastic model for optimal scheduling of energy communities with intelligent parking lots," Energy, Elsevier, vol. 263(PD).
    2. Myriam Caratù & Valerio Brescia & Ilaria Pigliautile & Paolo Biancone, 2023. "Assessing Energy Communities’ Awareness on Social Media with a Content and Sentiment Analysis," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    3. 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.
    4. Barone, G. & Buonomano, A. & Forzano, C. & Palombo, A. & Russo, G., 2023. "The role of energy communities in electricity grid balancing: A flexible tool for smart grid power distribution optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    5. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Amir Mansouri, Seyed & Jurado, Francisco, 2022. "Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model," Applied Energy, Elsevier, vol. 328(C).
    6. Sousa, Jorge & Lagarto, João & Camus, Cristina & Viveiros, Carla & Barata, Filipe & Silva, Pedro & Alegria, Ricardo & Paraíba, Orlando, 2023. "Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing," Energy, Elsevier, vol. 283(C).
    7. Wang, Jiangjiang & Deng, Hongda & Qi, Xiaoling, 2022. "Cost-based site and capacity optimization of multi-energy storage system in the regional integrated energy networks," Energy, Elsevier, vol. 261(PA).
    8. Bożena Gajdzik & Magdalena Jaciow & Radosław Wolniak & Robert Wolny & Wieslaw Wes Grebski, 2023. "Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data," Resources, MDPI, vol. 12(9), pages 1-33, September.
    9. 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.
    10. Francesca Ceglia & Elisa Marrasso & Chiara Martone & Giovanna Pallotta & Carlo Roselli & Maurizio Sasso, 2023. "Towards the Decarbonization of Industrial Districts through Renewable Energy Communities: Techno-Economic Feasibility of an Italian Case Study," Energies, MDPI, vol. 16(6), pages 1-23, March.
    11. 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.
    12. Gabriele Volpato & Gianluca Carraro & Enrico Dal Cin & Sergio Rech, 2024. "On the Different Fair Allocations of Economic Benefits for Energy Communities," Energies, MDPI, vol. 17(19), pages 1-26, September.
    13. 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).
    14. Anna Dattilo & Francesco Melino & Mattia Ricci & Paolo Sdringola, 2024. "Optimizing Thermal Energy Sharing in Smart District Heating Networks," Energies, MDPI, vol. 17(12), pages 1-18, June.
    15. Barbara Marchetti & Matteo Vitali & Giovanni Biancini, 2024. "Renewable Energy Proliferation and the New Local Energy Community Paradigm: Analysis of a Case Study in Italy," Energies, MDPI, vol. 17(7), pages 1-16, March.
    16. 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).
    17. 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.
    18. 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.
    19. Francesco Calise & Francesco Liberato Cappiello & Luca Cimmino & Maria Vicidomini, 2024. "A Dynamic Analysis of Biomethane Reforming for a Solid Oxide Fuel Cell Operating in a Power-to-Heat System Integrated into a Renewable Energy Community," Energies, MDPI, vol. 17(13), pages 1-21, June.
    20. 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.

    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:eee:energy:v:282:y:2023:i:c:s0360544223017711. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.