JPI Urban Europe/NSFC: Socio-Techno-Economic Pathways for sustainable Urban energy develoPment

JPI Urban Europe/NSFC：可持续城市能源发展的社会技术经济途径

• 批准号: ES/T000112/1
• 负责人: Richard Green
• 金额: $ 38.76万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FT000112%2F1
• 关键词: JPI; Urban; Europe; NSFC; Socio

The rapid urbanisation in developing counties including China has created substantial environmental and social problems. In the EU, cities accommodate over 70% of the population and urban systems face similar challenges and must deal with a strong built-in inertia within physical, regulatory and societal infrastructure that makes the transition to sustainable development challenging. Sustainable urban development in the context of economic transformation and climate change needs to be underpinned by the transformation of urban energy systems. The fundamental question is what is the optimal structure for an efficient, clean and resilient urban energy system? The design and operation of sustainable urban energy system is a complex task, since it relies not only on technology innovation, but also on policy making, market design and business cases. The fast electrification and digitalization of urban system leads to close links among multiple sectors, both positively and negatively. At the same time, the successful urban energy transformation cannot be achieved in an isolated way. The coordination between cities as well as between the city and the nation is required. Last but not least, as the fundamental element of the urban system, citizens will play a central role in such transformation. By allowing citizens to directly be engaged in creating the solutions, it may lead to a faster and improved acceptance of such services, with end users gaining a greater sense of empowerment and ownership. However, there is lack of quantitative evidence to inform the governing bodies and policy makers to support the citizen-centric approaches.In this context, this project brings together the experts from the EU and China in economics, social science and engineering to develop a comprehensive assessment framework to investigate the optimal Socio-Techno-Economic pathways towards an efficient, clean and resilient urban energy system. The project covers multiple stakeholders (governing body, enterprises and citizens), multiple sectors (electricity, gas, transport and heating/cooling), multiple spatial levels (national, city and community) and multiple time-scales (long-term planning, short-term operation and real-time control). The focus is to identify the barriers and potential solutions from the technology, market, regulation and policy. Cities in EU and China with distinguished features allow speculating the finding of the research beyond the geographical areas where it is carried out.

包括中国在内的发展中国家的快速城市化带来了严重的环境和社会问题。在欧盟，城市容纳了超过 70% 的人口，城市系统面临着类似的挑战，必须应对物理、监管和社会基础设施中强大的内在惯性，这使得向可持续发展的过渡充满挑战。经济转型和气候变化背景下的可持续城市发展需要以城市能源系统转型为基础。根本问题是高效、清洁和有弹性的城市能源系统的最佳结构是什么？可持续城市能源系统的设计和运行是一项复杂的任务，它不仅依赖于技术创新，还依赖于政策制定、市场设计和商业案例。城市系统的快速电气化和数字化导致多个部门之间的紧密联系，无论是积极的还是消极的。与此同时，城市能源转型的成功不可能以孤立的方式实现。需要城市之间、城市与国家之间的协调。最后但并非最不重要的一点是，作为城市体系的基本要素，公民将在这一转变中发挥核心作用。通过允许公民直接参与创建解决方案，可能会更快、更好地接受此类服务，最终用户会获得更大的授权感和主人翁感。然而，缺乏定量证据来告知管理机构和政策制定者支持以公民为中心的方法。在此背景下，该项目汇集了来自欧盟和中国在经济、社会科学和工程领域的专家，制定了全面的评估框架，以研究实现高效、清洁和有弹性的城市能源系统的最佳社会技术经济途径。该项目涵盖多个利益相关方（政府机构、企业和公民）、多个部门（电力、燃气、交通和供热/制冷）、多个空间层面（国家、城市和社区）和多个时间尺度（长期规划、短期规划）。 -长期运行和实时控制）。重点是从技术、市场、监管和政策方面找出障碍和潜在的解决方案。欧盟和中国具有特色的城市允许对研究结果进行超越地理区域的推测。

项目成果

Towards Optimal System Scheduling with Synthetic Inertia Provision from Wind Turbines

利用风力涡轮机提供的合成惯性实现最佳系统调度

• DOI: 10.48550/arxiv.1911.02857
• 发表时间: 2019
• 作者: Chu Z

Modelling of national and local interactions between heat and electricity networks in low-carbon energy systems

• DOI: 10.1016/j.apenergy.2020.115522
• 发表时间: 2020-10-15
• 期刊: APPLIED ENERGY
• 影响因子: 11.2
• 作者: Aunedi, Marko;Pantaleo, Antonio Marco;Shah, Nilay
• 通讯作者: Shah, Nilay

Assessment of Frequency Support from Wind Turbines under Alternative Control Schemes

• DOI: 10.1109/isgteurope.2019.8905511
• 发表时间: 2019-09
• 期刊: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
• 作者: Zhongda Chu;Fei Teng

An iterative algorithm for regret minimization in flexible demand scheduling problems

灵活需求调度问题中遗憾最小化的迭代算法

• DOI: 10.1002/adc2.92
• 发表时间: 2021
• 期刊: Advanced Control for Applications
• 作者: Dong Z

Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach

• DOI: 10.1109/tsg.2021.3095363
• 发表时间: 2021-06
• 期刊: IEEE Transactions on Smart Grid
• 影响因子: 9.6
• 作者: Zhongda Chu;Ning Zhang;Fei Teng