PMV index for human thermal comfort: data uncertainty and numerical models ANDREA MANUELLO BERTETTO Department of IngegneriaMeccanica, Chimica e deiMateriali Chimica e deiMateriali UniversitàdegliStudi di Cagliari Via Marengo 2, 09123 Cagliari ITALY andrea.manuello@unica.it LUIGI ANTONIO BESALDUCH Department of Ingegneria Civile Ambientale e Architettura UniversitàdegliStudi di Cagliari Via Marengo 2, 09123 Cagliari ITALY besalduch@unica.it EDMONDO MINISCI Department of Mechanical and Aerospace Engineering University of Strathclyde G1 1XQGlasgow UK edmondo.minisci@strath.ac.uk MARTIN KUBICEK Department of Mechanical and Aerospace Engineering University of Strathclyde G1 1XQ GlasgowUK martin.kubicek@strath.ac.uk ROBERTO RICCIU Dipartimento di Ingegneria Civile Ambientale e Architettura UniversitàdegliStudi di Cagliari Via Marengo 2, 09123 Cagliari ITALY ricciu@unica.it Abstract: The new standard UNI EN ISO 7730 is an evolution of the 1998. This classifies the conditions of moderate confined environments by three categories (A, B and C) according to the PMV index. The comfort sensation is mainly affected by six variables: air temperature, mean radiant temperature, air velocity, relative humidity, personal metabolism and clothing insulation. These are characterized by different mean values and distributions. The paper analyses the uncertainty in PMV index through three numerical models: the Fully Monte Carlo Simulation MCSs, the Monte Carlo Simulation Trials MCSt, and the Adaptive Derivative based High Dimensional Model Representation AD-HDMR. The proposed study compares the results obtained with the three different methods of analysis and verifies their efficiency in terms ofcomputationaltime. Key-Words: Mathematical models, Statistical analysis, Thermal comfort, Engineering physics.