A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors
Abstract The accelerated growth of smart cities and the intensifying impact of climate change have introduced new demands for low‐carbon commercial buildings. The majority of existing low‐carbon scheduling methods for commercial buildings focus on operational carbon emissions embedded in consumed el...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-02-01
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| Series: | Energy Conversion and Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/enc2.70000 |
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| _version_ | 1850037986169716736 |
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| author | Qifeng Huang Zhong Zhuang Meimei Duan Shihai Yang Ju Sheng Yixuan Huang |
| author_facet | Qifeng Huang Zhong Zhuang Meimei Duan Shihai Yang Ju Sheng Yixuan Huang |
| author_sort | Qifeng Huang |
| collection | DOAJ |
| description | Abstract The accelerated growth of smart cities and the intensifying impact of climate change have introduced new demands for low‐carbon commercial buildings. The majority of existing low‐carbon scheduling methods for commercial buildings focus on operational carbon emissions embedded in consumed electricity from the electricity network without a lifecycle perspective, resulting in the underestimation of the carbon emissions of consumed electricity. This article proposes a Stackelberg game model for low‐carbon scheduling of commercial building loads. In this model, the lifecycle unit carbon‐emission factors are calculated and then transferred to commercial buildings employing the carbon‐emission flow method. Subsequently, a low‐carbon scheduling model considering the carbon transaction, demand response, and thermal comfort is established for commercial building loads. Finally, the Stackelberg game model is implemented to determine the interaction between commercial buildings and the electricity network. The case study indicates that approximately 23% of indirect carbon emissions from electricity used in commercial buildings originate from the extraction, construction, transportation, demolition, and recycling stage, while approximately 77% occur during the operation stage. |
| format | Article |
| id | doaj-art-5ea735a561684f8fae1b31ce5584e758 |
| institution | DOAJ |
| issn | 2634-1581 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Conversion and Economics |
| spelling | doaj-art-5ea735a561684f8fae1b31ce5584e7582025-08-20T02:56:43ZengWileyEnergy Conversion and Economics2634-15812025-02-0161395310.1049/enc2.70000A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factorsQifeng Huang0Zhong Zhuang1Meimei Duan2Shihai Yang3Ju Sheng4Yixuan Huang5Marketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaMarketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaMarketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaMarketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaMarketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaMarketing Service Center State Grid Jiangsu Electric Power Co., Ltd Nanjing ChinaAbstract The accelerated growth of smart cities and the intensifying impact of climate change have introduced new demands for low‐carbon commercial buildings. The majority of existing low‐carbon scheduling methods for commercial buildings focus on operational carbon emissions embedded in consumed electricity from the electricity network without a lifecycle perspective, resulting in the underestimation of the carbon emissions of consumed electricity. This article proposes a Stackelberg game model for low‐carbon scheduling of commercial building loads. In this model, the lifecycle unit carbon‐emission factors are calculated and then transferred to commercial buildings employing the carbon‐emission flow method. Subsequently, a low‐carbon scheduling model considering the carbon transaction, demand response, and thermal comfort is established for commercial building loads. Finally, the Stackelberg game model is implemented to determine the interaction between commercial buildings and the electricity network. The case study indicates that approximately 23% of indirect carbon emissions from electricity used in commercial buildings originate from the extraction, construction, transportation, demolition, and recycling stage, while approximately 77% occur during the operation stage.https://doi.org/10.1049/enc2.70000carbon‐emission flowcommercial buildingslife cycle assessmentlow‐carbon schedulingStackelberg game |
| spellingShingle | Qifeng Huang Zhong Zhuang Meimei Duan Shihai Yang Ju Sheng Yixuan Huang A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors Energy Conversion and Economics carbon‐emission flow commercial buildings life cycle assessment low‐carbon scheduling Stackelberg game |
| title | A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors |
| title_full | A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors |
| title_fullStr | A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors |
| title_full_unstemmed | A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors |
| title_short | A Stackelberg game‐based model for low‐carbon scheduling of commercial building loads considering lifecycle unit carbon‐emission factors |
| title_sort | stackelberg game based model for low carbon scheduling of commercial building loads considering lifecycle unit carbon emission factors |
| topic | carbon‐emission flow commercial buildings life cycle assessment low‐carbon scheduling Stackelberg game |
| url | https://doi.org/10.1049/enc2.70000 |
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