TY - GEN
T1 - Innovative Blockchain-Based Application of Carbon Footprint of Products
T2 - 8th IEEE International Conference on Computer and Communications, ICCC 2022
AU - Chen, Wenqu
AU - Zhang, Jiayi
AU - Chi, Cheng
AU - Luo, Yan
AU - Ding, Xuemei
AU - Ma, Baoluo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - To align with the national climate pledges for long-term emissions goals, each industry needs consider using advanced digital technologies to mitigate carbon emissions and make progress in low-carbon transformation. The textile and apparel industry plays a very important role in economy and is one of the main contributors of greehouse gases emissions. This paper aims to show the feasibility of using blockchain technology for the carbon footprint of products accounting and trace. A framework of blockchain-based application of carbon footprint of products in textile industry has been proposed, in which a permissioned blockchchain infrastructure is integrated with enterprise information systems, automatic data collection, aggregation and reliable data sharing between multiple stakeholders is fulfilled. A case study of carbon footprint of a silk product has been conducted and the results show that the printing and dyeing process, and the silk reeling process are the most two contributors for carbon emissions, accounting for 44% of the total.
AB - To align with the national climate pledges for long-term emissions goals, each industry needs consider using advanced digital technologies to mitigate carbon emissions and make progress in low-carbon transformation. The textile and apparel industry plays a very important role in economy and is one of the main contributors of greehouse gases emissions. This paper aims to show the feasibility of using blockchain technology for the carbon footprint of products accounting and trace. A framework of blockchain-based application of carbon footprint of products in textile industry has been proposed, in which a permissioned blockchchain infrastructure is integrated with enterprise information systems, automatic data collection, aggregation and reliable data sharing between multiple stakeholders is fulfilled. A case study of carbon footprint of a silk product has been conducted and the results show that the printing and dyeing process, and the silk reeling process are the most two contributors for carbon emissions, accounting for 44% of the total.
KW - blockchain
KW - carbon footprint of products
KW - lowcarbon transformation
KW - textile and apparel industry
UR - http://www.scopus.com/inward/record.url?scp=85151669037&partnerID=8YFLogxK
U2 - 10.1109/ICCC56324.2022.10065849
DO - 10.1109/ICCC56324.2022.10065849
M3 - Conference contribution
AN - SCOPUS:85151669037
T3 - 2022 IEEE 8th International Conference on Computer and Communications, ICCC 2022
SP - 1350
EP - 1355
BT - 2022 IEEE 8th International Conference on Computer and Communications, ICCC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2022 through 12 December 2022
ER -
