PHd in Sciences, Renewable Energies Area. Chemical Engineer. Senior Research at INAHE-CONICET. Institute of Environment, Habitat and Energy. National Council for Scientific and Technical Research. Argentina.Expertise: Urban Climate. Urban heat island mitigation strategies. Cool cities. Thermal comfort. Cool materials. Sustainable urban design. Effects of vegetation typologies and green technologies on Urban climate . Energy efficiency. Renewable energies in cities. Energy transition.
Se conoce que el ambiente construido modifica las variables climaticas que influyen en el balance... more Se conoce que el ambiente construido modifica las variables climaticas que influyen en el balance energetico del cuerpo humano; siendo el confort termico uno de los factores que interviene en la habitabilidad del espacio. Este estudio analiza la interaccion entre micro-clima y morfologia urbana para determinar el grado de confort termico de zonas de baja densidad en una ciudad de clima arido (Mendoza-Argentina). Para ello se seleccionaron, caracterizaron morfologica y forestalmente, y se monitorearon micro-climaticamente siete canales viales urbanos (CVU) representativos insertos en diversas morfologias de tramas. El confort termico se calculo mediante COMFA, y se cuantificaron las relaciones entre morfologia y confort mediante el indice Pearson. Los resultados muestran que el confort termico en los CVU analizados varia en un rango entre 70 a 20%, manifestando que la combinacion entre huella urbana, perfil y forestacion determinan en conjunto la habitabilidad termica. Tambien se observa que para una determinada morfologia de trama, los CVU muestran diferentes respuestas en cuanto a confort exterior y enfriamiento nocturno. Esto pone en relevancia como impactan las decisiones de diseno y planificacion de los esquemas de urbanizacion al momento de definir que estrategias priorizar con el fin de alcanzar la sustentabilidad del ambiente construido.
Journal of Applied Science and Engineering, Nov 1, 2021
ABSTRACT The temperature increase of a city in relation to its peripheral areas leads to the form... more ABSTRACT The temperature increase of a city in relation to its peripheral areas leads to the formation of an Urban Heat Island. Working on the opto-thermal properties of the building envelope is a viable mitigation strategy to reduce the temperatures of a city. Having quantitative data on energy performance allows the development of precise evaluations and the selection of the most efficient data in relation to energy consumption. The degree of efficiency of a material is calculated with an indicator called Solar Reflectance Index (SRI). Since opto-thermal properties change over time, the standard recommends obtaining the SRI level of both new and three-year-aged material (SRI3). In the present work, 80 facade claddings were evaluated to: (a) determine which qualitative variables significantly influence the SRI3 of the claddings; (b) obtain an equation that calculates the SRI3 without the need to monitor the large number of variables used for its calculation. For this, the following statistical methods were used: multifactorial ANOVA and linear regression model. In this correlational analysis, color, composition and texture were selected as independent variables. The research showed that color is the variable that significantly influences SRI3 in all the evaluated claddings. By means of the equation obtained with the regression model, the SRI3 index was predicted reaching 95% IC. These results significantly save time and simplify the process of obtaining data since it is not necessary to monitor numerous input variables to calculate the indicator.
Se conoce que el ambiente construido modifica las variables climaticas que influyen en el balance... more Se conoce que el ambiente construido modifica las variables climaticas que influyen en el balance energetico del cuerpo humano; siendo el confort termico uno de los factores que interviene en la habitabilidad del espacio. Este estudio analiza la interaccion entre micro-clima y morfologia urbana para determinar el grado de confort termico de zonas de baja densidad en una ciudad de clima arido (Mendoza-Argentina). Para ello se seleccionaron, caracterizaron morfologica y forestalmente, y se monitorearon micro-climaticamente siete canales viales urbanos (CVU) representativos insertos en diversas morfologias de tramas. El confort termico se calculo mediante COMFA, y se cuantificaron las relaciones entre morfologia y confort mediante el indice Pearson. Los resultados muestran que el confort termico en los CVU analizados varia en un rango entre 70 a 20%, manifestando que la combinacion entre huella urbana, perfil y forestacion determinan en conjunto la habitabilidad termica. Tambien se observa que para una determinada morfologia de trama, los CVU muestran diferentes respuestas en cuanto a confort exterior y enfriamiento nocturno. Esto pone en relevancia como impactan las decisiones de diseno y planificacion de los esquemas de urbanizacion al momento de definir que estrategias priorizar con el fin de alcanzar la sustentabilidad del ambiente construido.
Journal of Applied Science and Engineering, Nov 1, 2021
ABSTRACT The temperature increase of a city in relation to its peripheral areas leads to the form... more ABSTRACT The temperature increase of a city in relation to its peripheral areas leads to the formation of an Urban Heat Island. Working on the opto-thermal properties of the building envelope is a viable mitigation strategy to reduce the temperatures of a city. Having quantitative data on energy performance allows the development of precise evaluations and the selection of the most efficient data in relation to energy consumption. The degree of efficiency of a material is calculated with an indicator called Solar Reflectance Index (SRI). Since opto-thermal properties change over time, the standard recommends obtaining the SRI level of both new and three-year-aged material (SRI3). In the present work, 80 facade claddings were evaluated to: (a) determine which qualitative variables significantly influence the SRI3 of the claddings; (b) obtain an equation that calculates the SRI3 without the need to monitor the large number of variables used for its calculation. For this, the following statistical methods were used: multifactorial ANOVA and linear regression model. In this correlational analysis, color, composition and texture were selected as independent variables. The research showed that color is the variable that significantly influences SRI3 in all the evaluated claddings. By means of the equation obtained with the regression model, the SRI3 index was predicted reaching 95% IC. These results significantly save time and simplify the process of obtaining data since it is not necessary to monitor numerous input variables to calculate the indicator.
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