Smart City Gnosys
Smart city article details
| Title | Empowering Community-Scale Carbon Accounting With Digital Twin Technology: Current Needs, Development Trends, And Prospects; [数字孪生技术赋能社区尺度碳核算现实需求、发展趋势与未来展望] |
|---|---|
| ID_Doc | 22909 |
| Authors | Sun B.; Chen K.; Chen Z.; Wang C.; Yan Y.; Tang J.; Liu Y. |
| Year | 2025 |
| Published | Journal of Geo-Information Science, 27, 7 |
| DOI | http://dx.doi.org/10.12082/dqxxkx.2025.250058 |
| Abstract | [Significance] As the basic unit of a city, the carbon emission levels and accuracy of community-scale accounting directly impact the overall effectiveness of emission reduction in the construction industry. This paper reviews the main methods of carbon accounting, evaluates their advantages and disadvantages, and proposes a new approach to enhance the accuracy and comprehensiveness of community carbon accounting using digital twin technology. [Progress] This paper first introduces three traditional carbon accounting methods, namely the carbon emission factor method, the mass balance method, and the direct measurement method, and discusses their applications. It then identifies digital twin technologies suitable for community-scale carbon accounting, including Building Information Modeling (BIM), Geographic Information System (GIS), and the Internet of Things (IoT). The paper analyzes current development trends, including: (i) expanding the scope of carbon accounting to the community level using digital twin technology, (ii) strengthening the integration and interoperability of digital twin systems, and (iii) establishing a community carbon accounting framework grounded in digital twin technology. It further proposes integrating BIM, GIS, and IoT into a unified system based on the city information model to build a comprehensive community carbon emission platform. [Prospect] Looking ahead, the application of digital twin technology holds promise for enabling accurate carbon accounting, emission forecasting, reduction pathway planning, and performance evaluation for communities of varying scales and geographical contexts. Furthermore, with advances in AI technology, it is anticipated that city information models for community carbon accounting will increasingly integrate AI agents, leveraging the power of big data, large models, and high-performance computing, to create intelligent carbon accounting systems for the smart city era. © 2025 Science Press. All rights reserved. |
| Author Keywords | building information modeling; Carbon accounting; city information modeling; communities; digital twin technologies; Geographic Information System; internet of things; traditional accounting methods |
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