Inverse design methods for indoor ventilation systems using CFD-based multi-objective genetic algorithm

Author:

Zhai Zhiqiang John,Xue Yu,Chen Qingyan

Publisher

Springer Science and Business Media LLC

Subject

Energy (miscellaneous),Building and Construction

Reference19 articles.

1. ASHRAE (2011). ASHRAE Handbook—HVAC Applications(SI). Atlanta: American Society of Heating, Refrigerating and Air Conditioning Engineers.

2. Blay D, Mergui S, Niculae C (1992). Confined turbulent mixed convection in the presence of a horizontal buoyant wall jet. Fundamentals of Mixed Convection, 213: 65–72.

3. Boithias F, Mankibi ME, Michel P (2012). Genetic algorithms based optimization of artificial neural network architecture for buildings’ indoor discomfort and energy consumption prediction. Building Simulation, 5: 95–106.

4. Etheridge D, Sandberg M (1996). Building Ventilation: Theory and Measurement. Chichester, UK: John Wiley & Sons.

5. Fanger PO (1970). Thermal Comfort, Analysis and Applications in Environmental Engineering. Copenhagen: Danish Technical Press.

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