Zero Carbon Tariffs with Cashback for V2X enabled Non-domestic Customers

零碳关税与支持V2X的非国内客户现金返还项目通过利用车辆到电网技术的智能能源交易，为分散式能源系统采取了全面且不受气候影响的方法。根据国家电网的未来能源情景（2022年），到2050年，道路运输的电力需求将增加25%，达到133太瓦时。随着越来越多的间歇性可再生能源发电、电供暖和电动汽车充电，企业客户的能源成本一直在增加（到2021年将增加30%）。随着越来越多的消费者拥有电动汽车，智能充电和车辆到电网（V2G）的采用将需要增加，以整合更高的可再生能源供应。到2050年，这种综合灵活性可能导致消费者转型中的32吉瓦调峰（国家电网，2021年）。到2030年，一个更智能的能源系统每年可以节省24 - 80亿英镑（碳信托，2016）。拥有智能电力交易和分布式控制系统的本地化能源购买俱乐部，被视为一种可扩展、高效且具有成本效益的方式，可以利用包括电动汽车、能源存储在内的灵活资产来增长清洁能源发电和管理峰值需求，同时还能为客户提供具有成本效益的绿色关税。这个V2X项目的主要目的是通过基尔大学的一个测试平台，对Qbots的创新智能能源交易和优化平台进行工业研究。通过场景测试、模拟和分析，基尔大学校园内的建筑之间将通过利用电动汽车电池、电池存储、发电和智能建筑的灵活性进行能源交换。然后，学习将用于改进平台，并在大曼彻斯特和沃灵顿/柴郡地区的商业场所进行试点试验。该项目的主要目标是：1\。开展车辆到一切系统的研究，该系统利用智能技术进行电力交易，本地平衡和电动汽车的价值产生。开发最先进的分布式能源管理系统，用于电动汽车电池以及建筑负载，发电和储能。在大学校园建立测试平台，以改进Qbots的联邦发电厂（FPP）方法，以优化支持V2G的车辆。利用基尔大学安装的V2G充电器的数据以及商业环境的数据，实施和测试多种人工智能驱动的预测和优化算法，以运行尖端的V2X平台。与利益相关者接触，并最终确定商业模式，从不同于电网服务的创新V2X商业主张中创造更高的价值。我们还将研究V2X能源障碍和创新解决方案所面临的挑战，以促进V2X的部署和采用

Zero Carbon Tariffs with Cashback for V2X enabled Non-domestic Customers project takes a holistic and climate-proof approach to a decentralized energy system through smart energy trading utilizing Vehicle to Grid technologies.According to National Grid's Future Energy Scenarios (2022), road transport's electricity demand will increase by 25% by 2050 to 133 TWh. With more intermittent renewable generation, electric heating and EV charging, energy costs for business customers have been increasing (\>30% in 2021). As more consumers own EVs, smart-charging and Vehicle-to-Grid (V2G) uptake will need to increase to integrate higher renewable supplies. This combined flexibility could lead to 32 GW of peak shaving in Consumer Transformation by 2050 (National Grid,2021). A smarter energy system could save £2.4-8 billion per year by 2030 (Carbon Trust,2016).Localised energy buying clubs with intelligent electricity trading and distributed control systems are seen as a scalable, efficient and cost-effective way to grow clean energy generation and manage peak demand using flexible assets including Electric vehicles, energy storage, while also delivering cost-effective green tariffs for customers. The main aim of this V2X project is to conduct industrial research on Qbots' innovative smart energy trading & optimisation platform, through a testbed at Keele University. Through scenarios testing, simulation & analytics, energy will be exchanged between buildings on Keele University's campus by utilising flexibility from Electric vehicle batteries, battery storage, generation and smart buildings. The learning will then be used to refine the platform and carry out pilot trials in commercial sites in the Greater Manchester and Warrington/Cheshire regions.The main objectives of the project are:1\. Carry out research on Vehicle to Everything systems that utilise smart technology for electricity trading, local balancing and value generation with Electric Vehicles.2\. Develop a state-of-the-art distributed energy resource management system for Electric Vehicle batteries along with building loads, generation and energy storage.3\. Set up the test-bed on the University campus to improve Qbots' Federated Power Plant (FPP) approach for optimising V2G enabled vehicles.4\. Implement and test multiple AI driven prediction and optimisation algorithms for operating a cutting-edge V2X platform utilizing data from V2G chargers installed in Keele University along with data from commercial environments.5\. Engage with stakeholders and finalize business models that create higher value from innovative V2X commercial propositions different to the grid services.6\. We will also investigate V2X energy barriers and challenges to innovative solutions that increase the deployment and uptake of V2X