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.

Kristian, F., Antonello Di, N., Jacopo, G., Ernesto, A., Andrea, B. (2017). Outdoor Comfort: the ENVI-BUG tool to evaluate PMV values Output Comfort point by point. ENERGY PROCEDIA, Energy Procedia 111 ( 2017 )(Energy Procedia 111 ( 2017 )), 510-519 [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.
2017
Kristian, F., Antonello Di, N., Jacopo, G., Ernesto, A., Andrea, B. (2017). Outdoor Comfort: the ENVI-BUG tool to evaluate PMV values Output Comfort point by point. ENERGY PROCEDIA, Energy Procedia 111 ( 2017 )(Energy Procedia 111 ( 2017 )), 510-519 [10.1016/j.egypro.2017.03.213].
Kristian, Fabbri; Antonello Di, Nunzio; Jacopo, Gaspari; Ernesto, Antonini; Andrea, Boeri
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/585053
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