Blockchain-Enabled Integrated Energy System Trading Model for CCS-P2G-Coupled Operation: Enhancing Energy Trading Efficiency and Carbon Emission Reduction

• Published in: International journal of energy research Vol. 2024; no. 1
• Main Author: Gao, Meizhen
• Format: Journal Article
• Language: English
• Published: Bognor Regis Hindawi 2024; John Wiley & Sons, Inc
• Subjects: Algorithms; Alternative energy sources; Blockchain; Blooms; Carbon; Carbon capture and storage; Carbon sequestration; Clean technology; Contracts; Cryptography; Decarbonization; Efficiency; Emissions control; Emissions trading; Energy; Energy consumption; Energy industry; Energy resources; Environmental impact; Infrastructure; Integrated energy systems; Internet; Natural gas; Power-to-gas; Reduction; Scheduling; Sustainability; Sustainable development; Wind power; China
• ISSN: 0363-907X; 1099-114X; 1099-114X
• DOI: 10.1155/2024/2486822

The need for sustainable integrated energy systems to mitigate environmental impact is hindered by challenges in fluctuating demand, trading reliability, and trustworthiness. This paper proposes an innovative approach to tackle these challenges by introducing a blockchain-based integrated energy system trading model with smart contracts. It is intricately linked with the operation of carbon capture and storage (CCS) technology and power-to-gas (P2G) equipment. The CCS-P2G-coupled operation principle is first outlined, followed by the presentation of a comprehensive system model. The peer-to-peer (P2P) energy trading algorithm is enhanced using the Bloom filtering technique. Leveraging smart contracts, a distributed energy trading mechanism is employed, resulting in a meticulously constructed integrated energy system trading model for CCS-P2G-coupled operation. The proposed model is rigorously evaluated for energy trading efficiency and system performance, revealing significant improvements compared to prior studies and showcasing substantial cumulative benefits. Three operation scenarios are examined, with experimental results highlighting the model’s superior carbon emission reduction capacity. This study introduces an innovative paradigm for trading and managing integrated energy systems, holding potential implications for the sustainable development and decarbonization transition of future energy systems.