Studentship in Cyber Physical Community Energy Networks

随着社区和组织寻求减少其在电力、交通和供热方面的碳足迹，社区和地方能源系统是全球能源系统的一个新兴特征。与可再生能源相关的较小规模、分散的技术，如太阳能、风能和能源储存和控制系统，正在以比大型基础设施快得多的速度发展。与此同时，信息和通信技术在能源领域的应用正在改变传统的设计和运营能源系统的方式以及能源市场的组织方式。物理基础设施系统的运行、先进的边缘计算和通信以及复杂的控制和能源市场继续整合在一起，在能源领域创造新的应用和服务。在这一领域的基础研究继续发展的同时，通过学术界和工业界之间的强有力的伙伴关系，利用现实生活中的演示者迅速从基于桌面的模拟研究迅速转移到接近商业应用的创新和应用研究是非常迫切的。本博士项目旨在研究：1.通过先进的信息和通信技术实现的实时可观察性和电网边缘计算对能源系统规划、运营和控制的成本效益整合。机器学习和人工智能支持的多矢量能源系统建模的数学模型和数据驱动方法。对本地多向量能源系统进行高级控制，以优化能源系统和提供电网服务4。用于自动化配电网管理的新型和快速出清本地能源市场5。建立加的夫大学校区作为多向量城市能源系统研究的活实验室

Community and local energy systems are an emerging feature of the global energy systems as communities and organisations look to reduce their carbon footprint in power, transport, and heat use. Smaller scale, decentralised technologies associated with renewable energy such as solar, wind and energy storage and control systems are developing at a much more rapid pace than larger scale infrastructure. At the same time, ICT applications in the energy sector are transforming the traditional ways of design and operating energy systems and how energy markets are organised. Operation of physical infrastructure systems, advanced edge computing and communication and complex controls and energy markets continue to be integrated creating new applications and services in the energy sector.While the fundamental research in this area continues to be developed, there is a real urgency for innovation and applied research using real-life demonstrators to swiftly move from desktop based simulation studies to near commercial applications through strong partnerships between academia and industry.This PhD project aims to investigate,1. the cost-effective integration of real time observability and grid edge computing enabled by advanced ICT to energy systems planning, operation and control2. mathematical model and data driven approaches supported by machine learning and Artificial Intelligence for multi-vector energy systems modelling3. advanced control of local multi-vector energy systems for energy system optimisation and grid services provision4. novel and fast clearing local energy markets for automated distribution grid management5. set up of Cardiff University campus as a living lab for multi-vector urban energy systems research