Responsive FLEXibility: A smart local energy system

Responsive FLEXibility: A smart local energy system
复制标题

响应灵活性:智能本地能源系统

DOI:
10.1016/j.rser.2023.113343
复制
发表时间:
2023
影响因子:
15.9
通讯作者:
Couraud B
Couraud B
中科院分区:
工程技术1区
文献类型:
--
作者:
Couraud B

文献摘要

相似文献

向更脱碳、更有弹性和更分布式的能源系统过渡需要地方举措,例如智能地方能源系统(SLES),这将引导社区实现自给自足,成为电力孤岛。虽然最近部署了许多SLES项目,但只有少数成功,主要是由于SLES规划和部署阶段的初始知识差距。本文利用知识,从英国最大的SLES示范在奥克尼群岛,名为响应灵活性(ReFLEX)项目,提出了一个框架,这将有助于社区成功地实施SLES。首先,本文介绍了如何在奥克尼实施的多服务电气SLES减少电力基础设施的能源转型的影响。我们确定和讨论的主要推动因素和障碍,成功的SLES,在英国的SLES项目的审查的基础上。其次,为了帮助未来的社区实施SLES,我们将智能电网架构模型(SGAM)扩展为一个全面的多向量智能本地能源架构模型(SLEAM),其中包括所有主要的能源服务,即电力,热力和运输。这个扩展的体系结构模型描述了需要在全面的SLES中处理的主要组件和交互层。接下来,为通知SLES的成功部署,为ReFLEX项目提出并实施了一系列SLES关键性能指标。最后,我们讨论了从ReFLEX项目中吸取的经验教训,并列出了未来所需的技术,使社区,能源政策制定者和监管机构能够为能源转型做好最佳准备。
The transition towards a more decarbonised, resilient and distributed energy system requires local initiatives, such as Smart Local Energy Systems (SLES), which lead communities to gain self-sufficiency and become electricity islands. Although many SLES projects have been recently deployed, only a few of them have managed to be successful, mostly due to an initial knowledge gap in the SLES planning and deployment phases. This paper leverages the knowledge from the UK’s largest SLES demonstrator in the Orkney Islands, named the Responsive FLEXibility (ReFLEX) project, to propose a framework that will help communities to successfully implement a SLES. First, this paper describes how the multi-services electrical SLES implemented in Orkney reduces the impact of the energy transition on the electrical infrastructure. We identify and discuss the main enablers and barriers to a successful SLES, based on a review of SLES projects in the UK. Second, to help future communities to implement SLES, we extend the Smart Grid Architecture Model (SGAM) into a comprehensive multi-vector Smart Local Energy Architecture Model (SLEAM) that includes all main energy services, namely power, heat and transport. This extended architecture model describes the main components and interaction layers that need to be addressed in a comprehensive SLES. Next, to inform successful deployment of SLES, an extensive list of key performance indicators for SLES is proposed and implemented for the ReFLEX project. Finally, we discuss lessons learnt from the ReFLEX project and we list required future technologies that enable communities, energy policy makers and regulatory bodies to best prepare for the energy transition.