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Doctoral Thesis
DOI
https://doi.org/10.11606/T.18.2013.tde-02052013-082403
Document
Author
Full name
Jaime Andrés Quiroa Herrera
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2013
Supervisor
Committee
Vecchia, Francisco Arthur da Silva (President)
Castañeda Nolasco, Gabriel
Mauad, Frederico Fabio
Pablos, Javier Mazariegos
Sichieri, Eduvaldo Paulo
Title in Portuguese
Quantificação e correlação das variáveis do ciclo de vida energético da edificação: energia incorporada na envolvente arquitetônica e consumo energético pelo comportamento térmico, caso de estudo: moradia
Keywords in Portuguese
Comportamento térmico
Consumo energético
Energia incorporada
Moradia
Abstract in Portuguese
No presente trabalho se analisou o consumo energético de uma moradia social, para isto se calculou a energia incorporada nos materiais construtivos utilizados no projeto da moradia analisada e o consumo energético provocado pelo comportamento térmico da envolvente térmica da edificação estudando como a mudança dos materiais construtivos como: telhados e paredes modificam o valor da energia incorporada e o consumo de energia elétrica pelo comportamento térmico, uma vez que se considera possível que o consumo energético por motivos térmico seja maior que a energia incorporada. Para o calculo da energia incorporadados materiais construtivos que compõem a envolvente, foram utilizados coeficientes de energia incorporada propostos por Tavares, (2006), Graf; Tavares, (2010), Lobo, (2010). A pesquisa foi enfocada ao setor habitacional por ser um dos setores que apresentam maior consumo de energia, enfocando-se especificamente à moradia social. A metodologia para avaliar o consumo energético da edificação no período de análise, se divide em quatros etapas: 1) Quantificação de materiais da envolvente 2) Cálculo de energia incorporada 3) Cálculo de gasto energético nos períodos de 1 e 40 anos realizado por meio de simulações no software Energy Plus 4) Cálculo dos coeficientes de correlação das variáveis.Tomaram-se as cidades de São Carlos, SP e Belém, PA, como exemplos de análise. A primeira cidade participa com 11% no rubro de condicionamento ambiental no setor residencial e segunda participa com 40%. Os resultados foram trabalhados e analisados com gráficos de Excel, para a posterior análise e conclusão. Identificou-se um coeficiente de correlação que indica uma forte correlação entres as variáveis analisadas no presente. O que indica que existe uma relação entre a quantidade de energia incorporada nos materiais e no consumo energético operacional pelo comportamento térmico destes.
Title in English
Quantification and correlation of lifecycle building energyvariables: energy embodied in the architectural envelope and energy consumption for its thermal behavior, case study: residential house
Keywords in English
Embodied energy
Energy consumption
Residential
Thermal behavior
Abstract in English
In this study were analyzed the energy consumption of a housing, for it is calculated the embodied energy of construction materials, and energy consumption caused by the thermal behavior of the building envelope. It was change the building materials in the building, modifying the value of embodied energy and electricity consumption, since it is possible that the energy consumption of thermal behavior can be higher than the energy embodied. To calculate the embodied energy, were used a embodied energy coefficients proposed by Tavares, (2006), Graf; Tavares, (2010)Lobo, (2010).(TAVARES, SERGIO FERNANDO, 2006). This research is focus to residential sector as one of the sectors with higher energy consumption, focusing specifically on social housing. The methodology to evaluate energy consumption in the building during the period of analysis is divided into three steps: 1) Quantification of the materials 2) Calculate the embodied energy 3) Calculate the consumption of energy in the period of 40 years, made by simulations in Energy Plus software 4) Calculate the correlation ship between the variables analyzed. It follows the cities of São Carlos, SP and Belem, PA as examples of analysis; the first city participates with 11% in the energy consumption used in environmental conditioning in the residential sector and the second city participates with 40%. Changes were made in the materials of walls and roofs, trying to identify the differences of embodied energy and electricity consumption. The data obtained were worked in Excel spread sheets for further analysis and conclusion of the data. It was identified a strongly correlation coefficient between the analyzed variables.
 
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Publishing Date
2013-05-06
 
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