Selection of window sizes for optimizing occupational comfort and hygiene based on computational fluid dynamics and neural networks
Abstract
Abstract is not available.- Artificial neural networks
- Computational fluid dynamics
- Indoor air quality
- Thermal comfort
- Window sizes optimization
- Construction & Building Technology
- Engineering, Environmental
- Engineering, Civil
- Air-conditioned buildings
- Airflow patterns
- Artificial Neural Network
- CFD models
- Computational fluid
- Computational fluid dynamics models
- Design guidelines
- Indoor environment
- Input-output data
- Mean values
- Meta model
- Naturally ventilated buildings
- Optimization problems
- Radial basis functions
- Thermal comfort index
- Ventilation effectiveness
- Weather conditions
- Window Size
- Air
- Air quality
- Architectural design
- Carbon dioxide
- Computer simulation
- Fluid dynamics
- Indoor air pollution
- Optimization
- Radial basis function networks
- Ventilation
- Volatile organic compounds
- Neural networks
- air quality
- airflow
- artificial neural network
- boundary condition
- building
- carbon dioxide
- computational fluid dynamics
- database
- flow pattern
- indoor air
- optimization
- ventilation
- volatile organic compound
- Papaya mosaic virus
- Artificial neural networks
- Computational fluid dynamics
- Indoor air quality
- Thermal comfort
- Window sizes optimization
- Construction & Building Technology
- Engineering, Environmental
- Engineering, Civil
- Air-conditioned buildings
- Airflow patterns
- Artificial Neural Network
- CFD models
- Computational fluid
- Computational fluid dynamics models
- Design guidelines
- Indoor air quality
- Indoor environment
- Input-output data
- Mean values
- Meta model
- Naturally ventilated buildings
- Optimization problems
- Radial basis functions
- Thermal comfort index
- Ventilation effectiveness
- Weather conditions
- Window Size
- Window sizes optimization
- Air
- Air quality
- Architectural design
- Carbon dioxide
- Computational fluid dynamics
- Computer simulation
- Fluid dynamics
- Indoor air pollution
- Optimization
- Radial basis function networks
- Thermal comfort
- Ventilation
- Volatile organic compounds
- Neural networks
- air quality
- airflow
- artificial neural network
- boundary condition
- building
- carbon dioxide
- computational fluid dynamics
- database
- flow pattern
- indoor air
- optimization
- ventilation
- volatile organic compound
- Papaya mosaic virus
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Last time updated on 03/06/2016
This paper was published in DSpace@NTUA (National Technical Univ. of Athens).
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