{"title":"区块链增强优化,实现安全透明的全球能源供应链,降低环境影响和成本","authors":"Sivajothi Ramalingam , M. Subramanian , B.Srinivasa Kumar , S. Rushma , Nainaru Tarakaramu , Aymen TRIGUI , Farrukh Yuldashev , Taoufik Saidani , M.Ijaz Khan","doi":"10.1016/j.eij.2025.100647","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid evolution of energy systems necessitates innovative solutions to ensure efficient, transparent, and secure energy distribution. This paper introduces a novel blockchain-based model for decentralized energy trading, aiming to optimize the global energy supply chain. The proposed model leverages smart contracts for automated peer-to-peer transactions, allowing for a significant reduction in intermediary costs and enhancing the robustness of the energy market. Through comprehensive data analysis of historical energy production figures, we establish baseline supply curves for various energy sources including coal, natural gas, nuclear, hydro, wind, solar, biofuels, and waste, from 1990 to 2021. We present a mathematical framework that encapsulates supply and demand dynamics, price adjustment mechanisms, and tokenization of energy units. The equilibrium model ensures market clearance, while the pricing algorithm dynamically responds to real-time supply and demand fluctuations. Moreover, the study formulates an optimization objective focused on maximizing social welfare, encompassing consumer and producer surplus, and minimizing environmental impacts. The model is flexible, capable of integrating future advancements in renewable energy and storage technologies. Our findings indicate that blockchain technology not only has the potential to revolutionize the way we trade energy but also to significantly contribute to a more sustainable and environmentally friendly energy landscape.</div></div>","PeriodicalId":56010,"journal":{"name":"Egyptian Informatics Journal","volume":"30 ","pages":"Article 100647"},"PeriodicalIF":5.0000,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blockchain-enhanced optimization for a secure and transparent global energy supply chain with reduced environmental impact and cost\",\"authors\":\"Sivajothi Ramalingam , M. Subramanian , B.Srinivasa Kumar , S. Rushma , Nainaru Tarakaramu , Aymen TRIGUI , Farrukh Yuldashev , Taoufik Saidani , M.Ijaz Khan\",\"doi\":\"10.1016/j.eij.2025.100647\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid evolution of energy systems necessitates innovative solutions to ensure efficient, transparent, and secure energy distribution. This paper introduces a novel blockchain-based model for decentralized energy trading, aiming to optimize the global energy supply chain. The proposed model leverages smart contracts for automated peer-to-peer transactions, allowing for a significant reduction in intermediary costs and enhancing the robustness of the energy market. Through comprehensive data analysis of historical energy production figures, we establish baseline supply curves for various energy sources including coal, natural gas, nuclear, hydro, wind, solar, biofuels, and waste, from 1990 to 2021. We present a mathematical framework that encapsulates supply and demand dynamics, price adjustment mechanisms, and tokenization of energy units. The equilibrium model ensures market clearance, while the pricing algorithm dynamically responds to real-time supply and demand fluctuations. Moreover, the study formulates an optimization objective focused on maximizing social welfare, encompassing consumer and producer surplus, and minimizing environmental impacts. The model is flexible, capable of integrating future advancements in renewable energy and storage technologies. Our findings indicate that blockchain technology not only has the potential to revolutionize the way we trade energy but also to significantly contribute to a more sustainable and environmentally friendly energy landscape.</div></div>\",\"PeriodicalId\":56010,\"journal\":{\"name\":\"Egyptian Informatics Journal\",\"volume\":\"30 \",\"pages\":\"Article 100647\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Egyptian Informatics Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1110866525000404\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Egyptian Informatics Journal","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110866525000404","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Blockchain-enhanced optimization for a secure and transparent global energy supply chain with reduced environmental impact and cost
The rapid evolution of energy systems necessitates innovative solutions to ensure efficient, transparent, and secure energy distribution. This paper introduces a novel blockchain-based model for decentralized energy trading, aiming to optimize the global energy supply chain. The proposed model leverages smart contracts for automated peer-to-peer transactions, allowing for a significant reduction in intermediary costs and enhancing the robustness of the energy market. Through comprehensive data analysis of historical energy production figures, we establish baseline supply curves for various energy sources including coal, natural gas, nuclear, hydro, wind, solar, biofuels, and waste, from 1990 to 2021. We present a mathematical framework that encapsulates supply and demand dynamics, price adjustment mechanisms, and tokenization of energy units. The equilibrium model ensures market clearance, while the pricing algorithm dynamically responds to real-time supply and demand fluctuations. Moreover, the study formulates an optimization objective focused on maximizing social welfare, encompassing consumer and producer surplus, and minimizing environmental impacts. The model is flexible, capable of integrating future advancements in renewable energy and storage technologies. Our findings indicate that blockchain technology not only has the potential to revolutionize the way we trade energy but also to significantly contribute to a more sustainable and environmentally friendly energy landscape.
期刊介绍:
The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.