DEPENDABLE SMART ENERGY SYSTEMS

发展创新技术和解决方案，通过应对前所未有的气候和环境相关挑战，支持欧盟、英国及其公民、行业和企业，是欧洲和英国社会在未来几十年的决定性任务。博士网络“可靠的智能能源系统(Dense)”旨在通过培训和连接下一代研究人员和创造性创新者，实现“公平繁荣的社会，具有现代、资源效率和竞争力的经济”的独特承诺，为迅速实现零排放的雄心做出贡献。Dense致力于个人研究项目和对早期研究人员(ESR)的培训，作为智能能源系统(SESS)创新可靠工程(DC)的博士生。在这个概念中，术语“智能能源系统(SESS)”指的是一种全面的跨部门方法(例如电力、供暖、制冷、工业、建筑和交通)，旨在出色地实现向可持续和可实现的未来能源系统的转型。在Dense的框架下，我们考虑了SES的三个具体方面：(I)在全系统层面上，我们专注于电力、热力和燃气(氢气)网络的最优集成规划和运行控制；(Ii)在部件层面上，我们解决了热泵和电动汽车在现有配电网中的高效集成和可靠运行；(Iii)在有条不紊的层面上，为落实第(I)和(Ii)项，我们把以物理为基础的技术与新兴的数据驱动(学习)方法结合起来，发展新的稳健控制和估计技术。因此，密集既涵盖了这两种方法，也扩展到了主要侧重于电力部门的智能电网方法之外。这种跨部门的能源基础设施设计和运营被认为是脱碳不可或缺的。

The development of innovative technologies and solutions, which support the EU, UK and its citizens, industries and businesses by responding to the unprecedented climatic and environmental-related challenges, is the defining task of the European and the UK society for the next decades. The Doctoral Network (DN) "Dependable Smart Energy Systems (DENSE)" aims to contribute delivering the unique commitment of a "fair and prosperous society, with a modern, resource-efficient and competitive economy" by training and connecting next generation of researchers and creative innovators required to swiftly progress towards realizing the Net-Zero ambitions. DENSE is addressing individual research projects and training of early-stage researchers (ESR) as Doctoral Candidates (DC) in the innovative dependable engineering of Smart Energy Systems (SESs).Within this concept, the term "Smart Energy Systems (SESs)" refers to a holistic cross-sectoral approach (e.g. electricity, heating, cooling, industry, buildings and transportation) aimed at excelling the transformation towards sustainable and achievable future energy systems. Within the framework of DENSE, we consider the following three specific aspects of SES: (i) On a system-wide level, we focus on the optimal integrated planning and operation controlof electric, heat and gas (hydrogen) networks; (ii) On a component-level, we address the efficient integration and reliable operation of heat pumps and electric vehicles into existing distribution grids; (iii) On a methodical level and to enable items (i) and (ii), we develop novel robust control and estimation techniques by combining physics-based techniques with emerging data-driven (learning) approaches.Hence, DENSE both covers but also extends beyond the Smart Grid approach, which is mainly focused on the electricity sector. Such cross-sector energy infrastructure design and operation is considered indispensable for decarbonization..