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Residential ventilation system optimization using Monte-Carlo and genetic algorithm techniques

Jelle Laverge UGent and Arnold Janssens UGent (2010) ASHRAE IAQ, 16th Conference, Proceedings.
abstract
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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
optimization, Monte Carlo, residential ventilation, genetic algorithm
in
ASHRAE IAQ, 16th Conference, Proceedings
article number
C149
pages
10 pages
publisher
American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)
conference name
16th ASHRAE IAQ conference (IAQ 2010) : Airborne infection control : ventilation, IAQ and energy
conference location
Kuala Lumpur, Malyasia
conference start
2010-11-10
conference end
2010-11-12
ISBN
9781936504046
language
English
UGent publication?
yes
classification
C1
additional info
publication on CD-Rom
copyright statement
I have transferred the copyright for this publication to the publisher
id
1150359
handle
http://hdl.handle.net/1854/LU-1150359
date created
2011-02-15 09:05:53
date last changed
2016-12-21 15:40:46
@inproceedings{1150359,
  abstract     = {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.},
  articleno    = {C149},
  author       = {Laverge, Jelle and Janssens, Arnold},
  booktitle    = {ASHRAE IAQ, 16th Conference, Proceedings},
  isbn         = {9781936504046},
  keyword      = {optimization,Monte Carlo,residential ventilation,genetic algorithm},
  language     = {eng},
  location     = {Kuala Lumpur, Malyasia},
  pages        = {10},
  publisher    = {American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)},
  title        = {Residential ventilation system optimization using Monte-Carlo and genetic algorithm techniques},
  year         = {2010},
}

Chicago
Laverge, Jelle, and Arnold Janssens. 2010. “Residential Ventilation System Optimization Using Monte-Carlo and Genetic Algorithm Techniques.” In ASHRAE IAQ, 16th Conference, Proceedings. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE).
APA
Laverge, J., & Janssens, A. (2010). Residential ventilation system optimization using Monte-Carlo and genetic algorithm techniques. ASHRAE IAQ, 16th Conference, Proceedings. Presented at the 16th ASHRAE IAQ conference (IAQ 2010) : Airborne infection control : ventilation, IAQ and energy, American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE).
Vancouver
1.
Laverge J, Janssens A. Residential ventilation system optimization using Monte-Carlo and genetic algorithm techniques. ASHRAE IAQ, 16th Conference, Proceedings. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE); 2010.
MLA
Laverge, Jelle, and Arnold Janssens. “Residential Ventilation System Optimization Using Monte-Carlo and Genetic Algorithm Techniques.” ASHRAE IAQ, 16th Conference, Proceedings. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), 2010. Print.