IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v252y2025ics0960148125010687.html

Microalgae bio-reactive façade: Open data for nation-scale production potential assessment

Author

Listed:
  • Pozzobon, Victor

Abstract

This work combines microalgae culture numerical modeling and open big data from the French weather forecast agency and the French government to evaluate the annual deployment potential for microalgae biofaçade over France’s mainland territory. After data curation, three scenarii were evaluated. The annual production potential offered by new buildings (offices, retail buildings, hotels, industrial buildings, and state buildings) lies between +28.9 ± 3.7 and +202.6 ± 17.4 ton per year for the conservative and the optimistic scenario, respectively. It corresponds to producing 6100 to 62,000 microalgae biofaçade units, which is more than enough to sustain year-round continuous production. Analyzing the host building type revealed that retail buildings (e.g., malls) are the most favorable places for the technology, followed by state buildings and offices. Finally, in depth analysis of the results showed that façade orientation is the first predictor of the system performance while its geographical location in France is only a modulator of it.

Suggested Citation

  • Pozzobon, Victor, 2025. "Microalgae bio-reactive façade: Open data for nation-scale production potential assessment," Renewable Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:renene:v:252:y:2025:i:c:s0960148125010687
    DOI: 10.1016/j.renene.2025.123406
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125010687
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123406?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. Elmalky, Adham M. & Araji, Mohamad T., 2023. "Multi-objective problem of optimizing heat transfer and energy production in algal bioreactive façades," Energy, Elsevier, vol. 268(C).
    2. Elmalky, Adham M. & Araji, Mohamad T., 2024. "Optimization models for photosynthetic bioenergy generation in building façades," Renewable Energy, Elsevier, vol. 228(C).
    3. Agathokleous, Rafaela A. & Kalogirou, Soteris A., 2016. "Double skin facades (DSF) and building integrated photovoltaics (BIPV): A review of configurations and heat transfer characteristics," Renewable Energy, Elsevier, vol. 89(C), pages 743-756.
    4. Pozzobon, Victor, 2024. "Microalgae bio-reactive façade: System thermal–biological optimization," Renewable Energy, Elsevier, vol. 235(C).
    5. Rizwan, Muhammad & Mujtaba, Ghulam & Memon, Sheraz Ahmed & Lee, Kisay & Rashid, Naim, 2018. "Exploring the potential of microalgae for new biotechnology applications and beyond: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 394-404.
    6. Boruff, Bryan J. & Moheimani, Navid R. & Borowitzka, Michael A., 2015. "Identifying locations for large-scale microalgae cultivation in Western Australia: A GIS approach," Applied Energy, Elsevier, vol. 149(C), pages 379-391.
    7. Pozzobon, Victor, 2024. "Microalgae bio-reactive façade: A model coupling weather, illumination, temperature, and cell growth over the year," Renewable Energy, Elsevier, vol. 237(PB).
    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. Pozzobon, Victor, 2024. "Microalgae bio-reactive façade: A model coupling weather, illumination, temperature, and cell growth over the year," Renewable Energy, Elsevier, vol. 237(PB).
    2. Pozzobon, Victor, 2024. "Microalgae bio-reactive façade: System thermal–biological optimization," Renewable Energy, Elsevier, vol. 235(C).
    3. D'Agostino, Diana & De Falco, Francesco & Minelli, Federico & Minichiello, Francesco, 2024. "New robust multi-criteria decision-making framework for thermal insulation of buildings under conflicting stakeholder interests," Applied Energy, Elsevier, vol. 376(PA).
    4. Mir M. Ali & Kheir Al-Kodmany & Paul J. Armstrong, 2023. "Energy Efficiency of Tall Buildings: A Global Snapshot of Innovative Design," Energies, MDPI, vol. 16(4), pages 1-23, February.
    5. Fu, Yijun & Xu, Wei & Wang, Zhichao & Zhang, Shicong & Chen, Xi & Zhang, Xinyu, 2023. "Experimental study on thermoelectric effect pattern analysis and novel thermoelectric coupling model of BIPV facade system," Renewable Energy, Elsevier, vol. 217(C).
    6. Héctor Rodríguez-Rángel & Dulce María Arias & Luis Alberto Morales-Rosales & Victor Gonzalez-Huitron & Mario Valenzuela Partida & Joan García, 2022. "Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems," Energies, MDPI, vol. 15(7), pages 1-18, March.
    7. Kaplanis, S. & Kaplani, E. & Kaldellis, J.K., 2022. "PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency and ageing," Renewable Energy, Elsevier, vol. 181(C), pages 235-249.
    8. Peharz, Gerhard & Ulm, Andreas, 2018. "Quantifying the influence of colors on the performance of c-Si photovoltaic devices," Renewable Energy, Elsevier, vol. 129(PA), pages 299-308.
    9. Rounis, Efstratios Dimitrios & Athienitis, Andreas & Stathopoulos, Theodore, 2021. "Review of air-based PV/T and BIPV/T systems - Performance and modelling," Renewable Energy, Elsevier, vol. 163(C), pages 1729-1753.
    10. Chatzipanagi, Anatoli & Frontini, Francesco & Virtuani, Alessandro, 2016. "BIPV-temp: A demonstrative Building Integrated Photovoltaic installation," Applied Energy, Elsevier, vol. 173(C), pages 1-12.
    11. Patel, Anil Kumar & Singhania, Reeta Rani & Dong, Cheng-Di & Obulisami, Parthiba Karthikeyan & Sim, Sang Jun, 2021. "Mixotrophic biorefinery: A promising algal platform for sustainable biofuels and high value coproducts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    12. Gilmore, Nicholas & Timchenko, Victoria & Menictas, Chris, 2018. "Microchannel cooling of concentrator photovoltaics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 1041-1059.
    13. Zhang, Tiantian & Yang, Hongxing, 2019. "Flow and heat transfer characteristics of natural convection in vertical air channels of double-skin solar façades," Applied Energy, Elsevier, vol. 242(C), pages 107-120.
    14. Suzana Domjan & Lenart Petek & Ciril Arkar & Sašo Medved, 2020. "Experimental Study on Energy Efficiency of Multi-Functional BIPV Glazed Façade Structure during Heating Season," Energies, MDPI, vol. 13(11), pages 1-19, June.
    15. Moldovan, Camelia Liliana & Păltănea, Radu & Visa, Ion, 2020. "Improvement of clear sky models for direct solar irradiance considering turbidity factor variable during the day," Renewable Energy, Elsevier, vol. 161(C), pages 559-569.
    16. Zhiqiang Wang & Qi Tian & Jie Jia, 2022. "The Convective Heat Transfer Performance and Structural Optimization of the Cavity in Energy-Saving Thermal Insulation Windows under Cold Air Penetration Condition," Energies, MDPI, vol. 15(7), pages 1-21, March.
    17. Roberts, Frank & Yang, Siliang & Du, Hu & Yang, Rebecca, 2023. "Effect of semi-transparent a-Si PV glazing within double-skin façades on visual and energy performances under the UK climate condition," Renewable Energy, Elsevier, vol. 207(C), pages 601-610.
    18. Shahnazari, Mahdi & Bahri, Parisa A. & Parlevliet, David & Minakshi, Manickam & Moheimani, Navid R., 2017. "Sustainable conversion of light to algal biomass and electricity: A net energy return analysis," Energy, Elsevier, vol. 131(C), pages 218-229.
    19. Jha, Aprajeeta & Tripathy, P.P., 2019. "Heat transfer modeling and performance evaluation of photovoltaic system in different seasonal and climatic conditions," Renewable Energy, Elsevier, vol. 135(C), pages 856-865.
    20. Zhu, Li & Zhang, Jiqiang & Li, Qingxiang & Shao, Zebiao & Chen, Mengdong & Yang, Yang & Sun, Yong, 2020. "Comprehensive analysis of heat transfer of double-skin facades integrated high concentration photovoltaic (CPV-DSF)," Renewable Energy, Elsevier, vol. 161(C), pages 635-649.

    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:252:y:2025:i:c:s0960148125010687. 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/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.