Peer-to-Peer Trading of Electricity: Using EVs to Enable Electrified Heat

点对点电力交易：使用电动汽车实现电热

• 批准号: 2900524
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2900524
• 关键词: Peer; Trading; Electricity; Using; EVs

This project seeks to assess the efficacy and degree to which local energy markets (LEMs) of heat and electricity are a means for delivering flexibility and access to storage to support the deployment of electrified heat. Previous work has indicated that EVs provide particular potential as an energy storage vector within a LEM, thus here we will focus on their ability within a LEM to develop the flexibility that's necessary to support electrified heat deployment by both managing demand within the LEM and with the local network. An assessment will also be made of the business model for the company acting as market maker of such a system, and therefore quantifying the value of such a system to its owner (being cognisant of the similarity to Heat-As-A-Service).This project will use the agent-based AnyLogic software (that used for EnergyLogic) to:- Develop a model simultaneous for heat and power auctioning within a LEM.- Connect the LEM model with a representation of the local distribution net to investigate the potential value for the LEM, and its owner, for the flexibility offered to the DNO.- Investigate a range of technology scenarios (e.g. full ASHP, community GSHP loop, renewable/EV penetration).- Analyse the optimal business model for the central market maker considering potential tariff structures, other accessible value streams (DNO support), and the model scalability, i.e. at street or feeder scale.

该项目旨在评估当地热电能源市场(LEM)作为一种提供灵活性和获取存储以支持带电供热部署的手段的有效性和程度。以前的工作已经表明，电动汽车作为LEM内的能量存储载体提供了特殊的潜力，因此这里我们将重点介绍它们在LEM内的能力，通过管理LEM内和本地网络的需求来开发支持带电热部署所需的灵活性。本项目将使用基于代理的AnyLogic软件(用于EnergyLogic)来开发一个模型，用于在LEM内开发一个同时进行热能和电力拍卖的模型。-将LEM模型与本地配电网的代表连接起来，以调查LEM及其所有者为DNO提供的灵活性的潜在价值。-调查一系列技术场景(例如，完整的ASHP，社区GSHP循环，可再生/电动汽车普及率)-分析中央做市商的最佳商业模式，考虑潜在的价格结构、其他可获得的价值流(DNO支持)以及模型的可扩展性，即街道或支线规模。