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Comparison of two adjoint-based inverse design methods in the shape optimization of local exhaust hoods for flow resistance reduction.

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Title: Comparison of two adjoint-based inverse design methods in the shape optimization of local exhaust hoods for flow resistance reduction.
Authors: Liu, Fei1,2 (AUTHOR), Zhang, Yinglei1 (AUTHOR), Chen, Yong1 (AUTHOR), Luo, Siyi1,2 (AUTHOR), Zuo, Zongliang1,2 (AUTHOR), Sha, Haohan1,2 (AUTHOR), Zhu, Tongxin3 (AUTHOR), Liu, Wei1,4 (AUTHOR) weiliu@tju.edu.cn
Source: Building & Environment. Feb2026, Vol. 290, pN.PAG-N.PAG. 1p.
Subject Terms: *Energy consumption, Structural optimization, Mechanical efficiency, Mathematical optimization, Fume hoods, Friction losses, Multidisciplinary design optimization
Abstract: • Two adjoint-based design variables were compared for resistance reduction in exhaust hoods. • Coordinate-based optimization achieved the highest resistance reduction of 76.4 %. • Porosity-based optimization exhibited high computational efficiency and insensitivity to iteration. • Combining porosity- and coordinate-based optimization further reduced the flow resistance. The resistance of local ventilation components leads to considerable fan power consumption, and reducing local resistance is therefore essential for energy savings. Generally, the resistance reduction design can be achieved through shape optimization, which mainly relies on two design variables based on the adjoint method: the cell coordinates that define the geometric boundaries, and the cell porosities within the local component. This study was to compare the two design variables with an emphasis on their performance in shaping a local exhaust hood. The comparison indicated that different locally optimized geometries can be obtained by both design variables, with maximum resistance reduction rates of 76.4% and 50.9% achieved by the design variable of the cell coordinates and porosities, respectively. The shape obtained through porosity-based optimization can be further refined by cell coordinates. The numerical parameters of the adjoint method investigated in this study influenced either the optimized shape or the optimization efficiency when the design variable of cell coordinates was employed. In contrast, for the porosity-based design, the optimized shape was insensitive to numerical parameters, and it could achieve higher computational efficiency without affecting the optimization results. These findings clarified the performance differences between the two adjoint-based design variables and provided guidance for selecting appropriate optimization strategies for local ventilation components. [ABSTRACT FROM AUTHOR]
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Database: GreenFILE
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Abstract:• Two adjoint-based design variables were compared for resistance reduction in exhaust hoods. • Coordinate-based optimization achieved the highest resistance reduction of 76.4 %. • Porosity-based optimization exhibited high computational efficiency and insensitivity to iteration. • Combining porosity- and coordinate-based optimization further reduced the flow resistance. The resistance of local ventilation components leads to considerable fan power consumption, and reducing local resistance is therefore essential for energy savings. Generally, the resistance reduction design can be achieved through shape optimization, which mainly relies on two design variables based on the adjoint method: the cell coordinates that define the geometric boundaries, and the cell porosities within the local component. This study was to compare the two design variables with an emphasis on their performance in shaping a local exhaust hood. The comparison indicated that different locally optimized geometries can be obtained by both design variables, with maximum resistance reduction rates of 76.4% and 50.9% achieved by the design variable of the cell coordinates and porosities, respectively. The shape obtained through porosity-based optimization can be further refined by cell coordinates. The numerical parameters of the adjoint method investigated in this study influenced either the optimized shape or the optimization efficiency when the design variable of cell coordinates was employed. In contrast, for the porosity-based design, the optimized shape was insensitive to numerical parameters, and it could achieve higher computational efficiency without affecting the optimization results. These findings clarified the performance differences between the two adjoint-based design variables and provided guidance for selecting appropriate optimization strategies for local ventilation components. [ABSTRACT FROM AUTHOR]
ISSN:03601323
DOI:10.1016/j.buildenv.2025.114157