TY - JOUR
T1 - An innovative method to determine optimum insulation thickness based on non-uniform adaptive moving grid
AU - Gasparin, Suelen
AU - Berger, Julien
AU - Dutykh, Denys
AU - Mendes, Nathan
N1 - Funding Information:
Acknowledgements This study was financed in part by the Coorde-nação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—in the framework of the International Cooperation Program CAPES/COFECUB (Grant #774/13). The authors also acknowledge the support from CNRS/INSIS and Cellule Énergie under the grant MN4BAT-2017. Professor menDeS thanks the Laboratory LAMA UMR 5127 for the warm hospitality during his visits in 2018, which were supported by the project MN4BAT under the AAP Recherche 2018 Programme of the University Savoie mont Blanc. Finally, the authors acknowledge the Junior Chair Research program “Building performance assessment, evaluation and enhancement” from the University Savoie mont Blanc in collaboration with The French Atomic and Alternative Energy Center (CEA) and Scientific and Technical Center for Buildings (CSTB).
Funding Information:
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—in the framework of the International Cooperation Program CAPES/COFECUB (Grant #774/13). The authors also acknowledge the support from CNRS/INSIS and Cellule Énergie under the grant MN4BAT-2017. Professor Mendes thanks the Laboratory LAMA UMR 5127 for the warm hospitality during his visits in 2018, which were supported by the project MN4BAT under the AAP Recherche 2018 Programme of the University Savoie Mont Blanc. Finally, the authors acknowledge the Junior Chair Research program “Building performance assessment, evaluation and enhancement” from the University Savoie Mont Blanc in collaboration with The French Atomic and Alternative Energy Center (CEA) and Scientific and Technical Center for Buildings (CSTB).
Publisher Copyright:
© 2019, The Brazilian Society of Mechanical Sciences and Engineering.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - It is well known that thermal insulation is a leading strategy for reducing energy consumption associated with heating or cooling processes in buildings. Nevertheless, building insulation can generate high expenditures so that the selection of an optimum insulation thickness requires a detailed energy simulation as well as an economic analysis. In this way, the present study proposes an innovative non-uniform adaptive method to determine the optimal insulation thickness of external walls. First, the method is compared with a reference solution to properly understand the features of the method, which can provide high accuracy with less spatial nodes. Then, the adaptive method is used to simulate the transient heat conduction through the building envelope of buildings located in Brazil, where there is a large potential of energy reduction. Simulations have been efficiently carried out for different wall and roof configurations, showing that the innovative method efficiently provides a gain of 25% on the computer run-time.
AB - It is well known that thermal insulation is a leading strategy for reducing energy consumption associated with heating or cooling processes in buildings. Nevertheless, building insulation can generate high expenditures so that the selection of an optimum insulation thickness requires a detailed energy simulation as well as an economic analysis. In this way, the present study proposes an innovative non-uniform adaptive method to determine the optimal insulation thickness of external walls. First, the method is compared with a reference solution to properly understand the features of the method, which can provide high accuracy with less spatial nodes. Then, the adaptive method is used to simulate the transient heat conduction through the building envelope of buildings located in Brazil, where there is a large potential of energy reduction. Simulations have been efficiently carried out for different wall and roof configurations, showing that the innovative method efficiently provides a gain of 25% on the computer run-time.
KW - Adaptive numerical methods
KW - Moving grid method
KW - Numerical simulation
KW - Optimum insulation thickness
KW - Redistribution schemes
KW - Thermal insulation
UR - https://www.scopus.com/pages/publications/85063057327
U2 - 10.1007/s40430-019-1670-6
DO - 10.1007/s40430-019-1670-6
M3 - Article
AN - SCOPUS:85063057327
SN - 1678-5878
VL - 41
JO - Journal of the Brazilian Society of Mechanical Sciences and Engineering
JF - Journal of the Brazilian Society of Mechanical Sciences and Engineering
IS - 4
M1 - 173
ER -