Simulation-based approach to optimize passively designed buildings: A case study on a typical architectural form in hot and humid climates

Keyphrases

• Hot Climate 100%
• Modeling Experiment 100%
• Process Optimization 100%
• Architectural Style 100%
• Humid Climate 100%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 100%
• Simulation-based Approach 100%
• Design Criteria 50%
• Decision Maker 50%
• Computational Efficiency 50%
• Optimum Design 50%
• Design Optimization 50%
• Building Geometry 50%
• Control Algorithm 50%
• Indoor Environmental 50%
• Humid Area 50%
• Building Performance 50%
• Assessment Scheme 50%
• Environmental Aspects 50%
• Building Energy Efficiency 50%
• Design Solutions 50%
• Building Layout 50%
• Early Design Phases 50%
• Green Building 50%
• Architectural Parameters 50%
• Cooling Energy Consumption 50%
• Comprehensive Literature Review 50%
• Mixed Ventilation 50%
• Building Sustainability 50%
• Environmental Parameters 50%
• Optimum Solution 50%
• Dimming Control 50%
• Lighting Energy Saving 50%
• EnergyPlus 50%
• Green Building Rating Systems 50%
• Pareto Frontier 50%
• Infiltration Air 50%
• Building Infiltration 50%
• Airtightness 50%
• Thermophysics 50%
• Robust Variance 50%
• Energy-saving Target 50%
• Variance-based Sensitivity Analysis 50%
• Holistic Optimization 50%
• Passive House 50%

Engineering

• Non-Dominated Sorting Genetic Algorithm II 100%
• Modeling Experiment 100%
• Green Building 100%
• Building Performance 50%
• Passive Design 50%
• Building Energy Efficiency 50%
• Early Stage 50%
• Environmental Aspect 50%
• Design Solution 50%
• Building Layout 50%
• Design Criterion 50%
• Computational Efficiency 50%
• Optimum Design 50%
• Environmental Parameter 50%
• Mixed Mode 50%
• Optimum Solution 50%
• Dimming Control 50%
• EnergyPlus 50%
• Airtightness 50%
• Genetic Algorithm 50%
• Control Algorithm 50%
• Design Optimization 50%
• Decision Maker 50%
• Pareto Frontier 50%