IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v379y2025ics0306261924023171.html
   My bibliography  Save this article

Beyond net zero energy buildings: Load profile analysis and community aggregation for improved load matching

Author

Listed:
  • Gergely, László Zsolt
  • Barancsuk, Lilla
  • Horváth, Miklós

Abstract

This study investigates the load matching of electricity consumption and photovoltaic (PV) generation in residential buildings following the net zero energy building (NZEB) framework. Load matching is critical due to the increasing integration of PV systems, driven by policies like the European Green Deal. Utilizing a dataset of 316 smart-metered residential electricity profiles, we conducted a sensitivity analysis to quantify the impact of various factors. Results indicate that the order of factors influencing self-consumption (SC), self-sufficiency (SS), self-production (SP), and grid liability (GL) in a heating-dominated region are annual and intraday consumption patterns, followed by PV tilt angle and finally, azimuth angle. NZEB sizing typically ended in an average SC of only 30.3 % and a GL of 39.5 %, highlighting the need for improved sizing strategies and reducing mismatch. We proposed two alternative PV sizing approaches, maximizing self-production (achieving up to 46.7 % SC) and minimizing grid liability (reducing GL considerably). The study shows that understanding consumption variability and optimizing PV configurations can significantly enhance load-matching outcomes, mainly when aggregated in energy communities, yielding an additional 9 percentage points increase in SC under a reasonable PV penetration. While NZEB communities could exceed original power peaks (200 kW of demand) with feedback periods in more than 10 % of the year, reaching peak feedback of 657 kW, a more reasonable PV penetration suggested (optimizing PV systems for self-production) that only exceeds 200 kW limit in 4 % of the year, with a consolidated peak of 332 kW feedback. Consequently, the study provides practical strategies for better integrating PV into low voltage electricity networks while mitigating adverse grid impacts, aligning with ongoing energy policy reforms.

Suggested Citation

  • Gergely, László Zsolt & Barancsuk, Lilla & Horváth, Miklós, 2025. "Beyond net zero energy buildings: Load profile analysis and community aggregation for improved load matching," Applied Energy, Elsevier, vol. 379(C).
  • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924023171
    DOI: 10.1016/j.apenergy.2024.124934
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924023171
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.124934?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.

    References listed on IDEAS

    as
    1. Beck, T. & Kondziella, H. & Huard, G. & Bruckner, T., 2016. "Assessing the influence of the temporal resolution of electrical load and PV generation profiles on self-consumption and sizing of PV-battery systems," Applied Energy, Elsevier, vol. 173(C), pages 331-342.
    2. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    3. Zhang, Yelin & Zhang, Xingxing & Huang, Pei & Sun, Yongjun, 2020. "Global sensitivity analysis for key parameters identification of net-zero energy buildings for grid interaction optimization," Applied Energy, Elsevier, vol. 279(C).
    4. Gergely, László Zsolt & Csoknyai, Tamás & Horváth, Miklós, 2022. "Novel load matching indicators for photovoltaic system sizing and evaluation," Applied Energy, Elsevier, vol. 327(C).
    5. Enrique Fuster-Palop & Carlos Prades-Gil & Ximo Masip & J. D. Viana-Fons & Jorge Payá, 2023. "Techno-Economic Potential of Urban Photovoltaics: Comparison of Net Billing and Net Metering in a Mediterranean Municipality," Energies, MDPI, vol. 16(8), pages 1-32, April.
    6. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    7. Despotovic, Milan & Nedic, Vladimir & Despotovic, Danijela & Cvetanovic, Slobodan, 2016. "Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 246-260.
    8. Cao, Sunliang & Hasan, Ala & Sirén, Kai, 2014. "Matching analysis for on-site hybrid renewable energy systems of office buildings with extended indices," Applied Energy, Elsevier, vol. 113(C), pages 230-247.
    9. Mohammadi, Zahra & Hoes, Pieter Jan & Hensen, Jan L.M., 2020. "Simulation-based design optimization of houses with low grid dependency," Renewable Energy, Elsevier, vol. 157(C), pages 1185-1202.
    10. Vladimir Z. Gjorgievski & Nikolas G. Chatzigeorgiou & Venizelos Venizelou & Georgios C. Christoforidis & George E. Georghiou & Grigoris K. Papagiannis, 2020. "Evaluation of Load Matching Indicators in Residential PV Systems-the Case of Cyprus," Energies, MDPI, vol. 13(8), pages 1-18, April.
    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. Sun, Xiaoqin & Lin, Yian & Zhu, Ziyang & Li, Jie, 2022. "Optimized design of a distributed photovoltaic system in a building with phase change materials," Applied Energy, Elsevier, vol. 306(PA).
    2. Jaszczur, Marek & Hassan, Qusay & Abdulateef, Ammar M. & Abdulateef, Jasim, 2021. "Assessing the temporal load resolution effect on the photovoltaic energy flows and self-consumption," Renewable Energy, Elsevier, vol. 169(C), pages 1077-1090.
    3. Angenendt, Georg & Zurmühlen, Sebastian & Axelsen, Hendrik & Sauer, Dirk Uwe, 2018. "Comparison of different operation strategies for PV battery home storage systems including forecast-based operation strategies," Applied Energy, Elsevier, vol. 229(C), pages 884-899.
    4. Luthander, Rasmus & Nilsson, Annica M. & Widén, Joakim & Åberg, Magnus, 2019. "Graphical analysis of photovoltaic generation and load matching in buildings: A novel way of studying self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 250(C), pages 748-759.
    5. Yildiz, B. & Bilbao, J.I. & Dore, J. & Sproul, A.B., 2017. "Recent advances in the analysis of residential electricity consumption and applications of smart meter data," Applied Energy, Elsevier, vol. 208(C), pages 402-427.
    6. Neetzow, Paul & Mendelevitch, Roman & Siddiqui, Sauleh, 2019. "Modeling coordination between renewables and grid: Policies to mitigate distribution grid constraints using residential PV-battery systems," Energy Policy, Elsevier, vol. 132(C), pages 1017-1033.
    7. Ren, Haoshan & Ma, Zhenjun & Fai Norman Tse, Chung & Sun, Yongjun, 2022. "Optimal control of solar-powered electric bus networks with improved renewable energy on-site consumption and reduced grid dependence," Applied Energy, Elsevier, vol. 323(C).
    8. Schopfer, S. & Tiefenbeck, V. & Staake, T., 2018. "Economic assessment of photovoltaic battery systems based on household load profiles," Applied Energy, Elsevier, vol. 223(C), pages 229-248.
    9. Giovani Almeida Dávi & José López de Asiain & Juan Solano & Estefanía Caamaño-Martín & César Bedoya, 2017. "Energy Refurbishment of an Office Building with Hybrid Photovoltaic System and Demand-Side Management," Energies, MDPI, vol. 10(8), pages 1-24, August.
    10. Papadopoulos, V. & Knockaert, J. & Develder, C. & Desmet, J., 2019. "Investigating the need for real time measurements in industrial wind power systems combined with battery storage," Applied Energy, Elsevier, vol. 247(C), pages 559-571.
    11. Santiago, Isabel & Palacios-Garcia, Emilio J. & Gonzalez-Redondo, Miguel & Arenas-Ramos, Victoria & Simon, Bernardo & Hayes, Barry P. & Moreno-Munoz, Antonio, 2024. "Assessment of generation capacity and economic viability of photovoltaic systems on urban buildings in southern Spain: A socioeconomic, technological, and regulatory analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    12. Carlos J. Sarasa-Maestro & Rodolfo Dufo-López & José L. Bernal-Agustín, 2016. "Analysis of Photovoltaic Self-Consumption Systems," Energies, MDPI, vol. 9(9), pages 1-18, August.
    13. Bruno Domenech & Gema Calleja & Jordi Olivella, 2021. "Residential Photovoltaic Profitability with Storage under the New Spanish Regulation: A Multi-Scenario Analysis," Energies, MDPI, vol. 14(7), pages 1-17, April.
    14. Azuatalam, Donald & Paridari, Kaveh & Ma, Yiju & Förstl, Markus & Chapman, Archie C. & Verbič, Gregor, 2019. "Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 555-570.
    15. Evandro Ferreira & Miguel Macias Sequeira & João Pedro Gouveia, 2024. "Sharing Is Caring: Exploring Distributed Solar Photovoltaics and Local Electricity Consumption through a Renewable Energy Community," Sustainability, MDPI, vol. 16(7), pages 1-26, March.
    16. Gudmunds, D. & Nyholm, E. & Taljegard, M. & Odenberger, M., 2020. "Self-consumption and self-sufficiency for household solar producers when introducing an electric vehicle," Renewable Energy, Elsevier, vol. 148(C), pages 1200-1215.
    17. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
    18. Wu, Yaling & Liu, Zhongbing & Liu, Jiangyang & Xiao, Hui & Liu, Ruimiao & Zhang, Ling, 2022. "Optimal battery capacity of grid-connected PV-battery systems considering battery degradation," Renewable Energy, Elsevier, vol. 181(C), pages 10-23.
    19. Aniello, Gianmarco & Shamon, Hawal & Kuckshinrichs, Wilhelm, 2021. "Micro-economic assessment of residential PV and battery systems: The underrated role of financial and fiscal aspects," Applied Energy, Elsevier, vol. 281(C).
    20. Meyers, Steven & Schmitt, Bastian & Vajen, Klaus, 2018. "Renewable process heat from solar thermal and photovoltaics: The development and application of a universal methodology to determine the more economical technology," Applied Energy, Elsevier, vol. 212(C), pages 1537-1552.

    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:appene:v:379:y:2025:i:c:s0306261924023171. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.