Issue |
E3S Web Conf.
Volume 561, 2024
The 8th International Conference on Energy, Environment and Materials Science (EEMS 2024)
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Article Number | 01011 | |
Number of page(s) | 5 | |
Section | Energy System Simulation and Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202456101011 | |
Published online | 09 August 2024 |
Energy Use and Lighting of Algal Green Buildings
1 Dokuz Eylul University, Department of Architecture, 35390 Izmir, Türkiye
2 Dokuz Eylul University, Energy Application and Research Center (EUAM), Izmir, 35390 Izmir, Türkiye
3 Dokuz Eylul University, Department of Electrical and Electronics Engineering, 35390 Izmir, Türkiye
4 Manisa Celal Bayar University, Department of Bioengineering, 45040 Manisa, Türkiye
5 Dokuz Eylul University, Department of Mechanical Engineering, 35390 Izmir, Türkiye
* Corresponding author: ayca.tokuc@deu.edu.tr
Green buildings can provide a growth environment for microalgae growth on their façades, where a closed environment mimicks the organisms’ natural environment and functions as a window. This study investigates such a façade’s effect on energy saving by optimizing the performances of useful daylight illuminance (UDI) and energy use intensity (EUI) in the Mediterranean climate. The study was carried out in two stages. The first stage is a parametric study using the Colibri tool to look at the algae content and the effect of WWR for the north and south orientations. Meanwhile the second stage adds different design parameters of orientation, window type, WWR, wall type and thickness, insulation thickness. Optimization of UDI and EUI separately allows an in-depth discussion of these parameters for both performances. The obtained parametric results show the effects of WWR and algae content. Regression analysis explains that WWR has a linear relationship with EUI and a polynomial relationship with UDI. There is no such relationship for algae content, yet it changes UDI results the most (%46.22-81.66 for 50% WWR). Then, computational simulations regard effects of other factors for performance optimization.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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