Carbon Emission Monitoring and Credit Trading: The Blockchain and IOT Approach

Carbon Emission Monitoring and Credit Trading: The Blockchain and IOT Approach

Over the years, carbon dioxide emissions are the primary cause of climate change due to its quantum release by anthropogenic activities. However, inconsistencies in current carbon dioxide emission data make it difficult to ascertain the actual companies' emissions as well as difficulties in ass...

Full description

Saved in:
Bibliographic Details
Published in:2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) pp. 106 - 109
Main Authors: Effah, Derrick, Chunguang, Bai, Appiah, Francis, Agbley, Bless Lord Y., Quayson, Mathew
Format: Conference Proceeding
Language:English
Published: IEEE 17-12-2021
Subjects:
Blockchain
Blockchains
Carbon dioxide
Carbon emissions and trading
Climate change
FISCO bcos
Internet of Things
Internet of Things (IoT)
Scalability
Smart cities
Smart contracts
Time factors
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Over the years, carbon dioxide emissions are the primary cause of climate change due to its quantum release by anthropogenic activities. However, inconsistencies in current carbon dioxide emission data make it difficult to ascertain the actual companies' emissions as well as difficulties in assessing trading routes between emitters and cleaners. These inconsistencies impede the sustainable development of low-carbon cities in current times. Therefore, a decentralized, transparent, traceable, and trustless system for carbon emission monitoring and credit trading is imperative in meeting low carbon cities' development. This paper proposes a Blockchain and IoT-based framework on the FISCO bcos platform to monitor enterprise carbon emissions coupled with carbon credit trading using a smart contract. An evaluation of our system demonstrates that our system outperforms other solutions with comparisons on system median response time. The smart contract code for this work is available at: https://github.com/De-miles1/Carbon/tree/master.
ISSN:2576-8964
DOI:10.1109/ICCWAMTIP53232.2021.9674144