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HVAC Duct System Design Using Genetic Algorithms

Asiedu, Y. / Besant, Robert W. / Gu, P.

A genetic algorithm technique is used to design an HVAC air duct system with minimum life-cycle cost. The approach has the capability to incorporate standard (discrete) duct sizes, variable time-of-day operating conditions and variable time-of-day utility rates. An example is used to illustrate these capabilities and results are compared to those obtained using weighted average flow rates and utility rates to show the life-cycle cost savings possible using this genetic algorithm methodology. Life-cycle cost savings are minimal for some designs, but much larger savings are possible for complex designs and operating constraints.

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HVAC Duct System Design Using Genetic Algorithms

Asiedu, Y. / Besant, Robert W. / Gu, P.

A genetic algorithm technique is used to design an HVAC air duct system with minimum life-cycle cost. The approach has the capability to incorporate standard (discrete) duct sizes, variable time-of-day operating conditions and variable time-of-day utility rates. An example is used to illustrate these capabilities and results are compared to those obtained using weighted average flow rates and utility rates to show the life-cycle cost savings possible using this genetic algorithm methodology. Life-cycle cost savings are minimal for some designs, but much larger savings are possible for complex designs and operating constraints.

HVAC Duct System Design Using Genetic Algorithms

Asiedu, Y. / Besant, Robert W. / Gu, P.

A genetic algorithm technique is used to design an HVAC air duct system with minimum life-cycle cost. The approach has the capability to incorporate standard (discrete) duct sizes, variable time-of-day operating conditions and variable time-of-day utility rates. An example is used to illustrate these capabilities and results are compared to those obtained using weighted average flow rates and utility rates to show the life-cycle cost savings possible using this genetic algorithm methodology. Life-cycle cost savings are minimal for some designs, but much larger savings are possible for complex designs and operating constraints.

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Title:

HVAC Duct System Design Using Genetic Algorithms

Contributors:

Asiedu, Y. (author) / Besant, Robert W. (author) / Gu, P. (author)

Published in:

HVAC&R Research ; 6 ; 149-173

Publication date:

2000-04-01

Size:

25 pages

ISSN:

1078-9669 , 1938-5587

DOI:

https://doi.org/10.1080/10789669.2000.10391255

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

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