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Microalgae bio-reactive façade: System thermal–biological optimization

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  • Pozzobon, Victor

Abstract

This article explores numerically the biotechnological performances of microalgae biofaçade. The model computes the system’s thermal behavior using a radiative-convective approach accounting for location on Earth and actual weather data. In a coupled manner, it simulates the microalgae culture behavior, i.e. light-driven growth and cell pigment content acclimation. In addition, it features refinement such as wavelength-dependent biomass optical properties and thermal-modulated biological rates. Thanks to this model, operation strategies and design possibilities were evaluated using actual weather data for a biofaçade module deployed in Marseille in 2023. Investigations revealed that a semi-batch mode of operation, while simplistic, is the most efficient way to operate a biofaçade if sole biological production is considered (about 18.0 ± 0.9 kg per year, 2.44 ± 0.12 g/L output concentration). However, if intended as an office glazing, turbidostat mode of operation should be preferred for aesthetic and visual comfort reasons (about 19.1 ± 1.1 kg per year, 0.64 ± 0.07 g/L output concentration). System optimization also confirmed the experimental observation that the system could be prone to overheating. Nevertheless, while overheating can be mitigated by increasing the reservoir thickness, this strategy is detrimental to the average output concentration. Finally, location-specific optimization revealed that a standard biofaçade module could be deployed over France, and system performances are derived for the whole country thanks to the weather forecast agency data.

Suggested Citation

  • Pozzobon, Victor, 2024. "Microalgae bio-reactive façade: System thermal–biological optimization," Renewable Energy, Elsevier, vol. 235(C).
  • Handle: RePEc:eee:renene:v:235:y:2024:i:c:s0960148124014459
    DOI: 10.1016/j.renene.2024.121377
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    References listed on IDEAS

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    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. Bornatico, Raffaele & Pfeiffer, Michael & Witzig, Andreas & Guzzella, Lino, 2012. "Optimal sizing of a solar thermal building installation using particle swarm optimization," Energy, Elsevier, vol. 41(1), pages 31-37.
    3. 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.
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