{"title":"Blockchain-Based peer-to-peer energy trading: A decentralized and innovative approach for sustainable local markets","authors":"Tao Shen , Xiufang Ou , Bingbin Chen","doi":"10.1016/j.compeleceng.2025.110281","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents an innovative approach to local energy generation and peer-to-peer energy trading (P2PET) through the use of blockchain technology, with a focus on decentralization and trustlessness. The primary objectives are to reduce energy costs and address privacy concerns in P2PET transactions. To facilitate this, the paper proposes three key smart contracts: one for member registration and data storage, another for managing P2PET transactions, and a third for regulating customer interactions with the main energy network. The objectives of this study go beyond technical implementation, focusing on establishing an efficient energy trading market, reducing costs, and balancing load ratios. Simulation results indicate a potential monthly cost reduction of 514 Euros per consumer. The decentralized blockchain system offers both cost-effectiveness and flexibility, enhancing network sustainability and reliability. This research examines the integration of blockchain and smart contracts in transforming energy markets, highlighting their significant impact on local energy trading and broader environmental objectives.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"123 ","pages":"Article 110281"},"PeriodicalIF":4.0000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625002241","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents an innovative approach to local energy generation and peer-to-peer energy trading (P2PET) through the use of blockchain technology, with a focus on decentralization and trustlessness. The primary objectives are to reduce energy costs and address privacy concerns in P2PET transactions. To facilitate this, the paper proposes three key smart contracts: one for member registration and data storage, another for managing P2PET transactions, and a third for regulating customer interactions with the main energy network. The objectives of this study go beyond technical implementation, focusing on establishing an efficient energy trading market, reducing costs, and balancing load ratios. Simulation results indicate a potential monthly cost reduction of 514 Euros per consumer. The decentralized blockchain system offers both cost-effectiveness and flexibility, enhancing network sustainability and reliability. This research examines the integration of blockchain and smart contracts in transforming energy markets, highlighting their significant impact on local energy trading and broader environmental objectives.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.