A low resistance circular diverter tee based on an improved random forest model
Abstract Local components are prevalent in building transmission and distribution systems, and their resistance can significantly increase a system’s operating energy consumption. This paper takes a tee as an example and proposes a novel resistance reduction method for building transmission and dist...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-11441-9 |
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| _version_ | 1849333571679944704 |
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| author | Ao Tian Angui Li Ran Gao Ruoyin Jing Yi Wang Yan Tian Yibu Gao Junkai Ren Yingying Wang |
| author_facet | Ao Tian Angui Li Ran Gao Ruoyin Jing Yi Wang Yan Tian Yibu Gao Junkai Ren Yingying Wang |
| author_sort | Ao Tian |
| collection | DOAJ |
| description | Abstract Local components are prevalent in building transmission and distribution systems, and their resistance can significantly increase a system’s operating energy consumption. This paper takes a tee as an example and proposes a novel resistance reduction method for building transmission and distribution systems that utilizes an improved random forest model. Unlike existing studies on local component resistance reduction that rely on trial-and-error empirical methods, this study introduces a posterior optimization approach that can obtain a global optimal solution within a given range. The optimal tee shape is first predicted and then validated through experiments and numerical simulations to verify the resistance reduction effect. The results show that under different working conditions, the optimized tee achieves a resistance reduction rate of 28–66% in the main line and 16–93% in the branch line. Previous research on the resistance reduction mainly focused on rectangular components that can be reduced to two dimensions. This study proposes an a posteriori resistance reduction method for circular components, providing a reference for resistance reduction in building transmission and distribution systems. |
| format | Article |
| id | doaj-art-d10b6c3d3bfb467585c3edd46c26dcf9 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-d10b6c3d3bfb467585c3edd46c26dcf92025-08-20T03:45:48ZengNature PortfolioScientific Reports2045-23222025-07-0115111810.1038/s41598-025-11441-9A low resistance circular diverter tee based on an improved random forest modelAo Tian0Angui Li1Ran Gao2Ruoyin Jing3Yi Wang4Yan Tian5Yibu Gao6Junkai Ren7Yingying Wang8School of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologySchool of Building Services Science and Engineering, Xi’an University of Architecture and TechnologyAbstract Local components are prevalent in building transmission and distribution systems, and their resistance can significantly increase a system’s operating energy consumption. This paper takes a tee as an example and proposes a novel resistance reduction method for building transmission and distribution systems that utilizes an improved random forest model. Unlike existing studies on local component resistance reduction that rely on trial-and-error empirical methods, this study introduces a posterior optimization approach that can obtain a global optimal solution within a given range. The optimal tee shape is first predicted and then validated through experiments and numerical simulations to verify the resistance reduction effect. The results show that under different working conditions, the optimized tee achieves a resistance reduction rate of 28–66% in the main line and 16–93% in the branch line. Previous research on the resistance reduction mainly focused on rectangular components that can be reduced to two dimensions. This study proposes an a posteriori resistance reduction method for circular components, providing a reference for resistance reduction in building transmission and distribution systems.https://doi.org/10.1038/s41598-025-11441-9 |
| spellingShingle | Ao Tian Angui Li Ran Gao Ruoyin Jing Yi Wang Yan Tian Yibu Gao Junkai Ren Yingying Wang A low resistance circular diverter tee based on an improved random forest model Scientific Reports |
| title | A low resistance circular diverter tee based on an improved random forest model |
| title_full | A low resistance circular diverter tee based on an improved random forest model |
| title_fullStr | A low resistance circular diverter tee based on an improved random forest model |
| title_full_unstemmed | A low resistance circular diverter tee based on an improved random forest model |
| title_short | A low resistance circular diverter tee based on an improved random forest model |
| title_sort | low resistance circular diverter tee based on an improved random forest model |
| url | https://doi.org/10.1038/s41598-025-11441-9 |
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