System Transition to Digital Energy

系统向数字能源转型

• 批准号: EP/R002339/1
• 负责人: Liz Varga
• 金额: $ 7.7万
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR002339%2F1
• 关键词: System; Transition; Digital; Energy

This study's overarching goal is to create a step change in our understanding of how digitalisation will impact on the pathway to decarbonise the energy sector. The potential of the Internet of Things promoting the integration of Smart appliances, Storage, Smart Contracts or Electrical Vehicles will underpin volatile, uncertain, complex and ambiguous (VUCA) scenarios that need to be addressed with architectural solutions, new value streams, and necessary frameworks for effective implementations. Within this scoping study we will evaluate five emergent fields (domains) in terms of their innovative directions, potential impact and pace of change in order to prioritize achievable research themes and develop a research framework for future study of their synergies. This process will create a proof of concept systems model for use in analysis of the energy transition, thereby embedding novel analytical approaches based on technologies that we expect to find in operational energy systems in the future. This proof of concept for energy transition will underpin a major collaborative proposal on energy system transition in VUCA scenarios demonstrating how cyber, physical and social systems are seamlessly interwoven. We consider this scoping study is an essential precursor for successful transition to digital data-driven energy futures enhancing people's lives and interactions with their energy environment. The ambition includes identifying opportunities to capture real-world data, such as that from social media, smart meters, which suggest changing and novel patterns of energy supply and demand, and to use this to derive improved transition pathways.

这项研究的总体目标是在我们对数字化将如何影响能源部门脱碳途径的理解中创造一个步骤性变化。物联网促进智能家电、存储、智能合约或电动汽车集成的潜力将支撑不稳定、不确定、复杂和模糊（VUCA）的场景，这些场景需要通过架构解决方案、新的价值流和必要的框架来解决。 在这项范围研究中，我们将评估五个新兴领域（领域）的创新方向，潜在影响和变化速度，以优先考虑可实现的研究主题，并为未来研究其协同作用制定研究框架。这一过程将创建一个概念验证系统模型，用于分析能源转型，从而嵌入基于技术的新分析方法，我们希望在未来的运行能源系统中找到这些方法。能源转型的概念验证将支持VUCA场景中能源系统转型的主要合作提案，展示网络，物理和社会系统如何无缝交织。我们认为，这项范围界定研究是成功过渡到数字数据驱动的能源未来的重要前提，可以改善人们的生活以及与能源环境的互动。其目标包括确定获取真实世界数据的机会，例如来自社交媒体、智能电表的数据，这些数据表明能源供需的变化和新模式，并利用这些数据来改进过渡途径。

项目成果

Microgrid portfolio optimisation for mitigating national demand ramping events

微电网组合优化，缓解国家需求激增事件

• 发表时间: 2017
• 作者: Ferre Murciano, C

Stochastic flexibility unit commitments as service providers for community scale power systems

作为社区规模电力系统服务提供商的随机灵活性单位承诺

• 发表时间: 2017
• 作者: Laur, A

Community Energy Retail Tariffs in Singapore: Opportunities for Peer-to-Peer and Time-of-Use Versus Vertically Integrated Tariffs

• DOI: 10.21314/jem.2019.195
• 发表时间: 2019-06
• 期刊: AARN: Political Ecology (Topic)
• 作者: Jesus Nieto-Martin;Ai-Lin Blaise;L. Varga

Planning 11kV Networks with Smart Grid Heuristics coordination techniques,

使用智能电网启发式协调技术规划 11kV 网络，

• 发表时间: 2017
• 作者: Nieto Martin, J

A review of the use of artificial intelligence methods in infrastructure systems

• DOI: 10.1016/j.engappai.2022.105472
• 发表时间: 2022-11
• 期刊: Engineering Applications of Artificial Intelligence
• 影响因子: 8
• 作者: L. McMillan;Liz Varga