Shape optimization of the energy efficiency of building retrofitted facade
Alpar S. Berger J. Mazuroski W. Belarbi R.
15 March 2024Elsevier Ltd
Solar Energy
2024#271
The current state of research indicates a necessity of further examination in both numerical and experimental studies related to optimizing shapes of building enclosures for the enhancement of their energy efficiency. The demand for research primarily arises due to the numerical complexities associated with optimizing shapes for this specific purpose. Consequently, the primary objective of this article is to address and bridge these gaps in the field. To achieve this, a two-dimensional steady-state heat diffusion model is assumed to represent the physical processes occurring within building facades of varying shapes. A third type boundary condition is applied to the exterior boundary, encompassing convective and incident short-wave solar radiation effects. The calculation of short-wave radiation accounts for factors such as sunlight exposure and shading, influenced by the surrounding urban environment. The internal boundary interfaces with the indoor ambient air, and thus, a Robin boundary condition is adopted. To tackle the computational demands while ensuring accuracy, the boundary element method (BEM) is employed by discretizing the domain boundary into discrete elements. Then, two heat transfer design objectives are define according to the period of investigations: ones related to enhancing heat transfer and ones focused on thermal insulation problem. Last, a real-world case study is conducted, considering a house wall under varying climate conditions throughout the year. Optimal shapes for the external wall boundary are determined with the constraint that the optimized facade utilizes the same amount of material as the reference flat one. The results demonstrate a substantial increase in energy efficiency compared to the reference flat wall case.
Boundary element method , Shape optimization , Short wave radiation , Steady-state heat transfer
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Laboratoire des Sciences de lIngénieur pour lEnvironnement (LaSIE), UMR 7356 CNRS, La Rochelle Université, CNRS, La Rochelle, 17000, France
International Information Technology University (IITU), 34/1 Manas street, Almaty, 050040, Kazakhstan
Pontifícia Universidade Católica do Paraná (PUCPR), Laboratório de Sistemas Térmicos (LST), Rua Imaculada Conceição, 1155, CEP., Curitiba, 80215-901, Paraná, Brazil
Laboratoire des Sciences de lIngénieur pour lEnvironnement (LaSIE)
International Information Technology University (IITU)
Pontifícia Universidade Católica do Paraná (PUCPR)
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