Mintorogo, Danny Santoso and Budhiyanto, Aris and Elsiana, Feny and Suprianto, Fandi Dwiputra and Sutrisno, (2021) Harvesting Renewable Energies through Innovative Kinetic Honeycomb Architectural Facades: The Mathematical & CFD Modeling for Wind Turbine Design Optimization. [UNSPECIFIED]
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Abstract
The research was specifically focused on the renewable energy factors associated with thousands of hexagonal micro-module wind turbines, hexagonal solar cell modules, and hexagonal modules for solar-reflecting pipes. This involved the utilization of windmills and solar cells specifically designed in a non-structural facade of the front building envelope through a double facade technique. Moreover, electrical energy was obtained from each windmill module while extra renewable electricity from abundant sunlight was acquired through the hexagonal modules of the solar cells (photovoltaic) designed vertically on the building facade. But this current research only focuses on hexagonal wind turbines. ANSYS Fluent 12.0 simulated software and numerical analysis were used to optimize and redesign the wind turbine blades in order to obtain more electricity from one micro-module hexagonal wind turbine. The results showed that this design was able to produce 2.66 Watts per wind turbine compared to the 0.12 Watt from the previous design. The TSR was also found to be 0.5 and its power coefficient value (CP) of 0.4525 was observed to be much higher than the 0.0343 from the previous design. Therefore, means multilevel buildings have the ability to harvest sustainable greenery energies from such a smart architectural façade.
| Item Type: | UNSPECIFIED |
|---|---|
| Additional Information: | - |
| Uncontrolled Keywords: | Harvest renewable energy; kinetic honeycomb architectural façade; numerical and simulated CFD; wind turbines design for second façade architecture buildings. |
| Subjects: | N Fine Arts > NA Architecture |
| Divisions: | Faculty of Civil Engineering and Planning > Architecture Department |
| Depositing User: | Admin |
| Date Deposited: | 01 Dec 2021 00:35 |
| Last Modified: | 22 Nov 2023 10:01 |
| URI: | https://repository.petra.ac.id/id/eprint/19387 |
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