Abstract: Abstract Net-zero energy buildings (NZEBs) are considered as an effective solution to current environmental and energy problems. To achieve expected performance, system sizes in a NZEB must be properly selected. Parameter uncertainties have been proved to have significant impacts on system sizing and need to be systematically considered. Due to complex uncertainty impacts, proper system sizing in a NZEB with multi-criteria performance is always a real challenge. To deal with the challenge, this study presents a genetic algorithm-GA based system...
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Topics: 
Reliability engineering
Simulation