IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v223y2024ics0960148124001757.html

From Net Zero Energy Buildings to an energy sharing model - The role of NZEBs in Renewable Energy Communities

Author

Listed:
  • Minelli, Federico
  • Ciriello, Ilaria
  • Minichiello, Francesco
  • D'Agostino, Diana

Abstract

This paper aims to broaden the concept of Net Zero Energy Building (NZEB), assessing its suitability to the emerging grid-based energy sharing models. The energy exchange between two buildings with shifted load schedules, namely, a new residential NZEB (prosumer) and an existing school building (consumer), is analysed to investigate energy sharing dynamics. The buildings are in Southern Italy, a region with high solar radiation. The model of the existing school building is calibrated on measured data and the study is performed by dynamic energy simulation. Three energy sharing scenarios based on the design of a photovoltaic system installed on the roof of the NZEB have been investigated, i.e., PV system peak power designed: to satisfy the NZEB target on annual basis; to satisfy the NZEB target on monthly basis; to fully exploit the available roof area of the NZEB. Considering annual and monthly net energy balances, oversizing the NZEB PV system leads to the compensation of a high share of school building non-renewable energy consumption. However, self-consumption analysis performed on hourly basis shows that increasing the PV system size negatively affects the self-consumption rate of the renewable energy community, and the presence of the school building only mitigates this effect.

Suggested Citation

  • Minelli, Federico & Ciriello, Ilaria & Minichiello, Francesco & D'Agostino, Diana, 2024. "From Net Zero Energy Buildings to an energy sharing model - The role of NZEBs in Renewable Energy Communities," Renewable Energy, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s0960148124001757
    DOI: 10.1016/j.renene.2024.120110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124001757
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.120110?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

    for a different version of it.

    Citations

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


    Cited by:

    1. Panagiotis Michailidis & Iakovos Michailidis & Elias Kosmatopoulos, 2025. "Reinforcement Learning for Electric Vehicle Charging Management: Theory and Applications," Energies, MDPI, vol. 18(19), pages 1-50, October.
    2. Wojciech Lewicki & Hasan Huseyin Coban & Jacek Wróbel, 2024. "Integration of Electric Vehicle Power Supply Systems—Case Study Analysis of the Impact on a Selected Urban Network in Türkiye," Energies, MDPI, vol. 17(14), pages 1-15, July.
    3. Shoaib Ahmed & Amjad Ali & Alessandro Ciocia & Antonio D’Angola, 2024. "Technological Elements behind the Renewable Energy Community: Current Status, Existing Gap, Necessity, and Future Perspective—Overview," Energies, MDPI, vol. 17(13), pages 1-40, June.
    4. Becchetti, Leonardo & Salustri, Francesco, 2025. "Renewable energy communities and the ecological transition: A game theoretic bargaining approach," Utilities Policy, Elsevier, vol. 96(C).
    5. Shi, Shaohang & Zhu, Ning & Li, Yifan & Song, Yehao, 2024. "Photo-thermal decoupling CdTe PV windows with selectively near-infrared absorbing ATO nanofluids," Renewable Energy, Elsevier, vol. 235(C).
    6. Diana D’Agostino & Martina Di Mascolo & Federico Minelli & Francesco Minichiello, 2024. "A New Tailored Approach to Calculate the Optimal Number of Outdoor Air Changes in School Building HVAC Systems in the Post-COVID-19 Era," Energies, MDPI, vol. 17(11), pages 1-36, June.
    7. Zhuang, Yuan & Zhou, Haiwei & Wang, Teng & Zhang, Lina & Cheng, Changgao, 2025. "Local and spillover effects of net-zero actions on SDG 7," Energy, Elsevier, vol. 327(C).
    8. Shoaib Ahmed & Antonio D’Angola, 2025. "Energy Storage Systems: Scope, Technologies, Characteristics, Progress, Challenges, and Future Suggestions—Renewable Energy Community Perspectives," Energies, MDPI, vol. 18(11), pages 1-32, May.
    9. Panagiotis Michailidis & Iakovos Michailidis & Elias Kosmatopoulos, 2024. "Review and Evaluation of Multi-Agent Control Applications for Energy Management in Buildings," Energies, MDPI, vol. 17(19), pages 1-38, September.
    10. Mehmet Kurucan & Panagiotis Michailidis & Iakovos Michailidis & Federico Minelli, 2025. "A Modular Hybrid SOC-Estimation Framework with a Supervisor for Battery Management Systems Supporting Renewable Energy Integration in Smart Buildings," Energies, MDPI, vol. 18(17), pages 1-30, August.
    11. Belloni, Elisa & Ferrucci, Tommaso & Fioriti, Davide & Tumiati, Andrea & Poli, Davide, 2025. "Global diffusion and key features of Energy Communities with a main focus on building loads modelling and management: A review," Applied Energy, Elsevier, vol. 399(C).
    12. Boccalatte, Alessia & Chanussot, Jocelyn, 2025. "Quantifying urban solar potential losses from rooftop superstructures via aerial imagery and Convolutional Neural Networks," Renewable Energy, Elsevier, vol. 249(C).
    13. Xiao, Junan & Liu, Wenjin & Gao, Jiajia & Xu, Xinhua & Zhu, Qiuyuan, 2025. "Experimental study on thermal characteristics of a dual-effect shape-stabilized PCM slab for both winter and summer applications," Renewable Energy, Elsevier, vol. 252(C).
    14. Jakub Szymiczek & Krzysztof Szczotka & Piotr Michalak, 2025. "Simulation of Heat Pump with Heat Storage and PV System—Increase in Self-Consumption in a Polish Household," Energies, MDPI, vol. 18(9), pages 1-25, May.
    15. Stephen O. Oladipo & Udochukwu B. Akuru & Ogbonnaya I. Okoro, 2025. "Numerical Optimization of Neuro-Fuzzy Models Using Evolutionary Algorithms for Electricity Demand Forecasting in Pre-Tertiary Institutions," Mathematics, MDPI, vol. 13(16), pages 1-33, August.
    16. Ding, Le & Gou, Zhonghua, 2025. "Designing energy-resilient communities: A school-centric approach to positive energy districts with integrated storage system," Renewable Energy, Elsevier, vol. 254(C).

    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:eee:renene:v:223:y:2024:i:c:s0960148124001757. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/renewable-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.