Content area

Abstract

Conference Title: 2025 International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility (INSPIRE)

Conference Start Date: 2025 Nov. 20

Conference End Date: 2025 Nov. 21

Conference Location: Mangalore, India

The growing urgency of climate change necessitates innovative solutions for transparent and efficient carbon credit trading. Since no carbon credit exchanges are yet available, this research presents a blockchain-based carbon credit trading framework combined with real-time monitoring in AI and tracking of emissions using IoT. Smart contracts are used in the system to automate compliance validation and ensure fraud-proof transactions. NFTs, i.e., tokenised carbon credits, are created whilst carbon credits are made immutable and dynamic, reflecting real-time environmental impact. Using AI-driven models, IoT sensor data, and satellite imagery, an accurate carbon footprint is calculated, and decentralised governance via DAOs (Decentralised Autonomous Organisations) ensures stakeholder transparency. It enables automated carbon tracing to align with the optimisation of future carbon offset trades that promote sustainable practices and penalise excessive emissions. In this approach, reporting delays are avoided, global standardisation is achieved, and double counting is prevented in carbon markets. The system's efficiency in real-time carbon tracking, automated transactions, and regulatory compliance auditing is also illustrated through a prototype implementation. It also compares favourably with traditional systems, offering improved security, reduced costs, and greater scalability. The future would include predictive AI for proactive carbon mitigation, as well as cross-border interoperability for global carbon markets. This research offers an innovative and revolutionary solution to build an ecosystem for a decentralised, tamper-resistant, and efficient carbon credit market.

Details

Business indexing term
Title
Blockchain-Driven Carbon Credit Trading for Real-Time Climate Change Mitigation and Monitoring
Author
Agrawal, Swati 1 ; Senthilkumar, R 2 ; Hassan, Muntather M 3 ; Otamirzaev Muzaffar Bakhodir Ugli 4 ; Manikandan, S 5 ; Thella Preethi Priyanka 6 ; Pallavi, M O 7 

 Kalinga University,Department of Civil Engineering,Raipur,India 
 Vimal Jyothi Engineering College,Department of Electrical and Electronics Engineering,Kannur,Kerala,India 
 College of Technical Engineering, The Islamic University,Department of Computer Techniques Engineering,Najaf,Iraq 
 Faculty of Humanities & Pedagogy, Turan International University,Namangan,Uzbekistan 
 Karpagam Institute of Technology,Department of Electrical and Electronics Engineering 
 Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamilandu,India 
 Sapthagiri NPS University,Department of Artificial Intelligence & Data Science,Bangalore,India 
Pages
226-231
Number of pages
6
Publication year
2025
Publication date
2025
Publisher
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Place of publication
Piscataway
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2025-12-29
Publication history
 
 
   First posting date
29 Dec 2025
ProQuest document ID
3288616890
Document URL
https://www.proquest.com/conference-papers-proceedings/blockchain-driven-carbon-credit-trading-real-time/docview/3288616890/se-2?accountid=208611
Copyright
Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Last updated
2026-01-01
Database
ProQuest One Academic