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<p>The low-carbon design software for electromechanical products is a critical tool for supporting green product design and enhancing the green production and management capabilities of enterprises. However, existing low-carbon design software exhibits several limitations, such as insufficient integration with product design processes, the absence of standard inventory data structure for manufacturing processes, and low efficiency in carbon footprint assessment and decision-making functions, all of which restrict its engineering application. To address these challenges, this study presents a closed-loop design framework that embeds carbon footprint assessment into design decision process, integrating life cycle information modeling, carbon emission assessment, and decision-making within a unified software architecture. In this work, (1) a multi-layered information model based on the Function-Structure-Material-Process (FSMP) framework is developed to facilitate the explicit representation of design schemes. (2) A multi-attribute similarity matching method based on design scenarios is proposed to intelligently handle missing data. (3) A heuristic search algorithm based on the Hope Tree is employed to efficiently generate and optimize low-carbon design schemes. (4) In order to achieve the quantification and traceability of the inventory data related to manufacturing processes, a Process Scenario (P-S) model for processes of electromechanical products is proposed. Finally, a case study on the low-carbon design of a wind turbine using this software will be given to demonstrate and verify this work. This research provides both theoretical methodologies and practical tools to support low-carbon design throughout the full life cycle of electromechanical products.</p>

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Lifecycle-integrated software for low-carbon design of electromechanical products: modeling, assessment, and decision optimization

  • 期刊论文

  • 发表日期：

    2025年8月19日

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  • Weitong Liu,
  • Liming Wang,
  • Jiabin Tian,
  • Fangyi Li,
  • Jianfeng Li,
  • Yitong Wang,
  • Lin Kong,
  • Xingyuan Xiao,
  • Xiaoguang Wang,
  • Tao Li,
  • Jing Tao,
  • Yanyan Nie,
  • Jiaxuan Zhou,
  • Yuqi Cui,
  • Boyun Wang

摘要

The low-carbon design software for electromechanical products is a critical tool for supporting green product design and enhancing the green production and management capabilities of enterprises. However, existing low-carbon design software exhibits several limitations, such as insufficient integration with product design processes, the absence of standard inventory data structure for manufacturing processes, and low efficiency in carbon footprint assessment and decision-making functions, all of which restrict its engineering application. To address these challenges, this study presents a closed-loop design framework that embeds carbon footprint assessment into design decision process, integrating life cycle information modeling, carbon emission assessment, and decision-making within a unified software architecture. In this work, (1) a multi-layered information model based on the Function-Structure-Material-Process (FSMP) framework is developed to facilitate the explicit representation of design schemes. (2) A multi-attribute similarity matching method based on design scenarios is proposed to intelligently handle missing data. (3) A heuristic search algorithm based on the Hope Tree is employed to efficiently generate and optimize low-carbon design schemes. (4) In order to achieve the quantification and traceability of the inventory data related to manufacturing processes, a Process Scenario (P-S) model for processes of electromechanical products is proposed. Finally, a case study on the low-carbon design of a wind turbine using this software will be given to demonstrate and verify this work. This research provides both theoretical methodologies and practical tools to support low-carbon design throughout the full life cycle of electromechanical products.