Sensitivity analysis of cooling demand applied to a large office building

Abstract Previous dynamic building simulation studies have not often focused on analysing the sensitivity of peak loads to input parameters. However, these may a critical impact system design capacities and power network operation. This study aims examine cooling demand related results (total electricity demand, HVAC end-use space cooling) in large office using two global analysis methods: Morris elementary effect Sobol indices. More specifically, this paper examines implications different type climates uncertainty output parameters for each result. Moreover, investigates difference between effects annual buildings, which can provide insight from perspectives total energy capacity systems, respectively. has found that generally, changes are more significant than demand. The coefficient variation is around 25% 21% identifies ventilation rate parameter contributes largest end-use, 50% 70% change (ST), both Regarding still one most factors, but equipment lighting densities also become contributor