Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India.
Department of Project Management, Universidad InternacionalIberoamericana, Campeche C.P. 24560, Mexico.
Sensors (Basel). 2022 Sep 1;22(17):6619. doi: 10.3390/s22176619.
The United Nations' sustainable development goals have emphasized implementing sustainability to ensure environmental security for the future. Affordable energy, clean energy, and innovation in infrastructure are the relevant sustainable development goals that are applied to the energy sector. At present, digital technologies have a significant capability to realize the target of sustainability in energy. With this motivation, the study aims to discuss the significance of different digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), edge computing, blockchain, and big data and their implementation in the different stages of energy such as generation, distribution, transmission, smart grid, and energy trading. The study also discusses the different architecture that has been implemented by previous studies for smart grid computing. Additionally, we addressed IoT-based microgrids, IoT services in electrical equipment, and blockchain-based energy trading. Finally, the article discusses the challenges and recommendations for the effective implementation of digital technologies in the energy sector for meeting sustainability. Big data for energy analytics, digital twins in smart grid modeling, virtual power plants with Metaverse, and green IoT are the major vital recommendations that are discussed in this study for future enhancement.
联合国的可持续发展目标强调实施可持续性,以确保未来的环境安全。负担得起的能源、清洁能源和基础设施创新是应用于能源部门的相关可持续发展目标。目前,数字技术具有实现能源可持续性目标的巨大能力。基于这一动机,本研究旨在讨论物联网(IoT)、人工智能(AI)、边缘计算、区块链和大数据等不同数字技术的意义,以及它们在能源的不同阶段(如发电、配电、输电、智能电网和能源交易)的实施情况。本研究还讨论了先前研究为智能电网计算实施的不同架构。此外,我们还讨论了基于物联网的微电网、电气设备中的物联网服务和基于区块链的能源交易。最后,本文讨论了在能源部门有效实施数字技术以实现可持续性方面面临的挑战和建议。本研究讨论了用于能源分析的大数据、智能电网建模中的数字孪生、具有元宇宙的虚拟电厂以及绿色物联网,这些都是未来增强的主要重要建议。