Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization

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 fo...

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Main Authors: Danny Santoso Mintorogo, Aris Budhiyanto, Feny Elsiana, Fandi D. Suprianto, Sutrisno
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/13467581.2021.2007102
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author Danny Santoso Mintorogo
Aris Budhiyanto
Feny Elsiana
Fandi D. Suprianto
Sutrisno
author_facet Danny Santoso Mintorogo
Aris Budhiyanto
Feny Elsiana
Fandi D. Suprianto
Sutrisno
author_sort Danny Santoso Mintorogo
collection DOAJ
description 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 for 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. However, 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 a single micro-module hexagonal wind turbine. The results showed that this design was able to produce 2.66 W per wind turbine compared to the 0.12 W 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.
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spelling doaj.art-36629fd886fa479ab964b39e707939c92024-11-15T10:36:00ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522022-11-012162593260410.1080/13467581.2021.20071022007102Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimizationDanny Santoso Mintorogo0Aris Budhiyanto1Feny Elsiana2Fandi D. Suprianto3Sutrisno4Petra Christian UniversityPetra Christian UniversityPetra Christian UniversityPetra Christian UniversityPetra Christian UniversityThe 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 for 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. However, 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 a single micro-module hexagonal wind turbine. The results showed that this design was able to produce 2.66 W per wind turbine compared to the 0.12 W 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.http://dx.doi.org/10.1080/13467581.2021.2007102harvest renewable energykinetic honeycomb architectural façadenumerical and simulated cfdwind turbines design for second façade architecture buildings
spellingShingle Danny Santoso Mintorogo
Aris Budhiyanto
Feny Elsiana
Fandi D. Suprianto
Sutrisno
Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
Journal of Asian Architecture and Building Engineering
harvest renewable energy
kinetic honeycomb architectural façade
numerical and simulated cfd
wind turbines design for second façade architecture buildings
title Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
title_full Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
title_fullStr Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
title_full_unstemmed Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
title_short Harvesting renewable energies through innovative kinetic honeycomb architectural facades: the mathematical & CFD modeling for wind turbine design optimization
title_sort harvesting renewable energies through innovative kinetic honeycomb architectural facades the mathematical cfd modeling for wind turbine design optimization
topic harvest renewable energy
kinetic honeycomb architectural façade
numerical and simulated cfd
wind turbines design for second façade architecture buildings
url http://dx.doi.org/10.1080/13467581.2021.2007102
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