Microclimatic architectural design by interfacing grasshoppers and Dynamo with Rhino and Revit
Abstrak
Aim: Considering the consequences of climate change, architects must consider how their designs may affect both interior and outdoor thermal comfort. Method: ologies: Examining various design possibilities regarding biometeorological characteristics is made possible by new microclimate analysis technologies that are becoming more popular among architects. Architects and designers can automate complex design processes and generate dynamic geometries through the incorporation of Grasshopper, a visual scripting plugin for Rhino, and Dynamo, a visual programming tool for Revit. By integrating these tools, designers can construct parametric models that respond to various environmental factors, such as solar radiation, wind flow, thermal comfort, and daylight availability. Findings: The article discusses an architectural design firm's recent efforts to use local climate challenges as design inspiration. Rhino and Revit, respectively, two architectural engineering construction (AEC) software, interacted to produce open source platforms like Grasshopper and Dynamo. These new instruments have made modern biometeorological parameters more accessible for experimentation and design. Limitations: Most of the available resources for developing climatic modeling were designed for study and lack optimization for architecture and urban designing; as a result, they require changes to enhance their usability or achieve interoperability with commonly used software by architects. It provides Python scripts that produce climatic boundary conditions for microclimate simulations and extract design-consequential data from simulated results. Conclusion: This study outlines the difficulties encountered when incorporating microclimate analysis into design practice as well as the methods used to get through these roadblocks.
Topik & Kata Kunci
Penulis (1)
Hasibullah Khan
Akses Cepat
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Cek di sumber asli →- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.1016/j.measen.2024.101143
- Akses
- Open Access ✓