Optimizing HVAC Design for Pharmaceutical Requirements with Computational Fluid Dynamics
Publication: Computing in Civil Engineering 2023
ABSTRACT
The conventional design process of pharmaceutical clean rooms is typically based on 2D CAD drawings, which can rarely generate simulation models of temperature distribution to verify the effectiveness of HVAC systems. Such design process is likely to cause errors in the operation stage, eventually failing the design requirements. To address the design challenges in pharmaceutical projects, this paper presents a BIM-based approach to optimize HVAC design with computational fluid dynamics (CFD). By utilizing CFD to simulate the dynamic conditions of airflow in clean rooms, the effectiveness of HVAC systems can be verified. A case study of a typical clean room design is presented to demonstrate the workflow of the approach and validate its functionalities. The results of the case study have shown that CFD can successfully simulate the design intentions of indoor air quality in BIM models and suggest optimized HVAC systems for clean room design. The findings of this paper contribute to the body of knowledge on overcoming the limitations of the traditional CAD-based HVAC design process and provide valuable insights on optimizing HVAC design with BIM and CFD technologies.
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Published In
Computing in Civil Engineering 2023
Pages: 1005 - 1013
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Architectural engineering
- Building design
- Building systems
- Case studies
- Computational fluid dynamics technique
- Computer aided design
- Computer models
- Design (by type)
- Engineering fundamentals
- Fluid dynamics
- Fluid mechanics
- HVAC
- Hydrologic engineering
- Methodology (by type)
- Models (by type)
- Optimization models
- Research methods (by type)
- Simulation models
- Two-dimensional models
- Water and water resources
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