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Thermal comfort predictive models: quantification of relationships between microclimatic and thermal sensation variables for outdoor spaces assessment and design

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Author(s):
Leonardo Marques Monteiro
Total Authors: 1
Document type: Doctoral Thesis
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Faculdade de Arquitetura e Urbanismo (FAU/SBI)
Defense date:
Examining board members:
Marcia Peinado Alucci; Denise Helena Silva Duarte; Anesia Barros Frota; Lucila Chebel Labaki; Arlindo Tribess
Advisor: Marcia Peinado Alucci
Abstract

The subject of this research is the relationship between urban microclimatic and thermal sensation variables. The hypothesis is that outdoor thermal comfort prediction requires modeling with specific calibration and validation to a given population adapted to certain climatic conditions. The objective is to propose a method to quantify the correlations between urban microclimatic variables (temperature, humidity, air velocity and thermal radiation) and subjective variables (thermal sensation perception and preference), mediated by means of individual variables (clothing insulation and metabolic rate), allowing the prediction of the outdoor thermal environment adequacy to a population adapted to a given climatic condition (in the specific case, the city of Sao Paulo). The method used is experimental inductive (field research of microclimatic, individual and subjective variables) supported by comparative computational deductive (predictive simulation). The field research and predictive simulation results allow twos propositions: (a) interpretative indexes calibration for predictive models, by means of iterative method; (b) proposition of a new predictive model, by means of numeric and analytic methods. The research final products are: (I) procedure for empirical estimation of microclimatic, individual and subjective variables (II) comparative chart of predictive models, (III) models calibration for the case in study, (IV) calibration method to be applied in other cases, (V) new predictive model based on the case in study, (VI) predictive modeling method to be applied in other cases, (VII) critical analysis and synthesis of the case in study and the developed methods. (AU)

FAPESP's process: 06/53148-1 - Predictive modeling of thermal comfort: quantification of relationships between microclimatic variables and of thermal sensation for evaluation and design of urban spaces in the city of São Paulo
Grantee:Leonardo Marques Monteiro
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)