Conceptual study—Artificial intelligence-integrated blockchain micromarkets for sustainable energy

IF 16.3 1区 工程技术 Q1 ENERGY & FUELS
Vipina Valsan , Naga Sushanth Kumar Vuppala , Sri Sai Harshith Koganti , Likhit Sai Eswar Kalla , Kumar Aditya Pappala , Kanakasabapathy P. , Maneesha V. Ramesh
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Abstract

Since the dawn of this decade, India has reported enviable accomplishments in the electrification of its rural population. However, the contribution of renewable energy to the nation’s massive rural infrastructure is modest. A web survey of artificial intelligence (AI)-enabled smart contracts with green technologies , has shown that blockchain-based micromarket energy trading has not been fully harnessed. Ongoing studies in a village in India, have shown that the a novel Artificial Intelligence Integrated blockchain-based Micromarket for Integrated Community Energy Trading (AII-MICET) platform has a strong potential to maximize economic benefits, with minimal wastage of locally sourced distributed energy resources, by providing reliable, affordable green energy (Sustainable Development Goals # 7, 9, 11, and 13). The conceptual blockchain AII-MICET model, unified with artificial intelligence, affords dynamic pricing and smart contracts, to fulfill proliferating energy demands. The first phase of an experiential learning program has showed significant drops in grid purchases, from 15,485 kWh/year(14.4% of the community energy consumption from grid to 13,030 kWh/year (9.6%), with minimal wastage of renewable energy (PV solar and hydropower). Maneuvering the adversities of regulatory barriers, startup capital, and limited local technical expertise, the AII-MICET framework is planned to be validated through a human-centric design strategy of the Live-in-Labs® program. The proposed scheme incorporates adaptive trading mechanisms and utility grids integrated with renewable energy.

Abstract Image

进入本十年以来,印度在农村人口电气化方面取得了令人羡慕的成就。然而,可再生能源对该国大规模农村基础设施的贡献却微乎其微。一项针对绿色技术的人工智能(AI)智能合约的网络调查显示,基于区块链的微型市场能源交易尚未得到充分利用。在印度一个村庄正在进行的研究表明,基于区块链的新型人工智能集成社区能源交易微市场(AII-MICET)平台具有强大的潜力,可以通过提供可靠、负担得起的绿色能源(可持续发展目标 7、9、11 和 13),最大限度地提高经济效益,同时最大限度地减少当地分布式能源资源的浪费。概念性区块链 AII-MICET 模型与人工智能相结合,提供动态定价和智能合约,以满足日益增长的能源需求。体验式学习计划的第一阶段显示,电网采购量大幅下降,从每年 15,485 千瓦时(占社区电网能耗的 14.4%)降至每年 13,030 千瓦时(占 9.6%),可再生能源(光伏太阳能和水电)的浪费降至最低。AII-MICET 框架计划通过 Live-in-Labs® 计划中以人为中心的设计策略进行验证,以应对监管障碍、启动资金和当地技术专长有限等不利因素。拟议的计划包含自适应交易机制和与可再生能源相结合的公用事业电网。
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来源期刊
Renewable and Sustainable Energy Reviews
Renewable and Sustainable Energy Reviews 工程技术-能源与燃料
CiteScore
31.20
自引率
5.70%
发文量
1055
审稿时长
62 days
期刊介绍: The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change. Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.
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