Analyze the document Details on article
| Id | 2756 | |
| Author | Hu Y.; Peng Y.; Gao Z.; Xu F. |
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| Title | Application of CFD plug-ins integrated into urban and building design platforms for performance simulations: A literature review | |
| Reference | Hu Y.; Peng Y.; Gao Z.; Xu F. Application of CFD plug-ins integrated into urban and building design platforms for performance simulations: A literature review,Frontiers of Architectural Research 12 1 |
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| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133716474&doi=10.1016%2fj.foar.2022.06.005&partnerID=40&md5=b2954a14ab56031fa35f6ef6fd0122f1 |
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| Abstract | The transformation of urban and building design into green development is conducive to alleviating resource and environmental problems. Building design largely determines pollutant emissions and energy consumption throughout the building life cycle. Full consideration of the impact of urban geometries on the microclimate will help construct livable and healthy cities. Computational fluid dynamics (CFD) simulations significantly improve the efficiency of assessing the microclimate and the performance of design schemes. The integration of CFD into design platforms by plug-ins marks a landmark development for the interaction of computer-aided design (CAD) and CFD, allowing architects to perform CFD simulations in their familiar design environments. This review provides a systematic overview of the classification and comprehensive comparison of CFD plug-ins in Autodesk Revit, Rhinoceros/Grasshopper, and SketchUp. The applications of CFD plug-ins in urban and building design are reviewed according to three types: single-objective, multi-objective, and coupling simulations. Two primary roles of CFD plug-ins integrated into the design process, including providing various micro-scale numerical simulations and optimizing the original design via feedback results, are analyzed. The issues of mesh generation, boundary conditions, turbulence models, and simulation accuracy during CFD plug-in applications are discussed. Finally, the limitations and future possibilities of CFD plug-ins are proposed. © 2022 Higher Education Press Limited Company |
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| Metodology | ||
| DOI | 10.1016/j.foar.2022.06.005 | |
| Search Database | Scopus |
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| Technique | ||
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