Abstract
The paper aims at developing a new design to find an aerodynamic form of a pavilion that is optimized to generate on-site electricity with attached wind turbines. To do so, the authors present a way in which advanced digital technologies can be integrated to manage a series of complex design parameters and data. Through the design process, the paper integrates parametric (Non-uniform rational basis spline, NURBS) modeling, computational simulation tools (Computational Fluid Dynamics), and machine-learning methods (the Artificial Neuron Network). The most significant limitation of wind turbine applications in urban areas can be found in its shape. By designing and building a prototype that does not look like a typical wind turbine but still produces electricity, the public's general perception of wind turbines could change. The unique design output will reduce the negative perception of wind turbines and display an aesthetic integrity between the intuitive creativity and the optimization process.
Original language | English (US) |
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Article number | 101471 |
Journal | Journal of Building Engineering |
Volume | 32 |
DOIs | |
State | Published - Nov 2020 |
Keywords
- Artificial neural network (ANN)
- Computational fluid dynamics (CFD)
- Fabrication
- Optimization
- Pavilion
- Wind turbine
ASJC Scopus subject areas
- Civil and Structural Engineering
- Architecture
- Building and Construction
- Safety, Risk, Reliability and Quality
- Mechanics of Materials