Studies on Outdoor Comfort in urban open spaces adopt several tools and software to simulate microclimate models, energy performances and the fluid-dynamics of winds. Air temperature, wind speed, relative humidity are the typical input data used by the software to evaluate comfort indexes such as the Predicted Mean Vote [PMV], the Physiological Effective Temperature [PET] or the Universal Thermal Climate Index [UTCI]. Among the available software, Envi-met provides accurate outputs as well as the PMV index space distribution starting from a three-dimensional microclimate model. However it is affected by some limitations for what concerns a user centered approach including the changes in human metabolic activity (met) or clothes (clo). This paper offers a synthesis of a study performed on ENVI-BUG, an Envi-met algorithmic app, to obtain a fast calculation and distribution of local PMV point-by-point displayed with mannequin representation.
Outdoor Comfort: the ENVI-BUG tool to evaluate PMV values Output Comfort point by point / Kristian, Fabbri; Antonello Di, Nunzio; Jacopo, Gaspari; Ernesto, Antonini; Andrea, Boeri. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - ELETTRONICO. - Energy Procedia 111 ( 2017 ):Energy Procedia 111 ( 2017 )(2017), pp. Energy Procedia 111 ( 2017 ).510-Energy Procedia 111 ( 2017 ).519. [10.1016/j.egypro.2017.03.213]
Outdoor Comfort: the ENVI-BUG tool to evaluate PMV values Output Comfort point by point
FABBRI, KRISTIAN;GASPARI, JACOPO;ANTONINI, ERNESTO;BOERI, ANDREA
2017
Abstract
Studies on Outdoor Comfort in urban open spaces adopt several tools and software to simulate microclimate models, energy performances and the fluid-dynamics of winds. Air temperature, wind speed, relative humidity are the typical input data used by the software to evaluate comfort indexes such as the Predicted Mean Vote [PMV], the Physiological Effective Temperature [PET] or the Universal Thermal Climate Index [UTCI]. Among the available software, Envi-met provides accurate outputs as well as the PMV index space distribution starting from a three-dimensional microclimate model. However it is affected by some limitations for what concerns a user centered approach including the changes in human metabolic activity (met) or clothes (clo). This paper offers a synthesis of a study performed on ENVI-BUG, an Envi-met algorithmic app, to obtain a fast calculation and distribution of local PMV point-by-point displayed with mannequin representation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.