This paper demonstrates the use of Monte-Carlo and Genetic Algorithm techniques combined with multizone simulations for the optimization of residential ventilation systems in order to reduce exposure to airborne contaminants. In the paper, both the optimization of constant flow rate systems and of demand controlled systems is discussed and their performance related to exposure and energy loss are assessed. First, a number of realistic parameters are defined that characterise possible system configurations.
The simulations are used to assess the performance of these configurations. The results show that mechanical ventilation systems offer lower exposure for a given heat loss compared to natural ventilation systems. Furthermore, demand controlled systems prove to provide even lower exposure for the same heat loss. The paper clearly demonstrates the differences between different system layouts in optimal configurations.
Citation: IAQ Conference: IAQ 2010: Airborne Infection Control
Product Details
- Published:
- 2011
- Number of Pages:
- 10
- File Size:
- 1 file , 450 KB
- Product Code(s):
- D-IAQ2010-C149-10
