Support for 106187 URBAN-X - Urban Local energy trading exchange Project

根据国家电网的未来能源情景（2018年），到2030年峰值电力需求可能增加3-8吉瓦（4-14%），到2050年增加3-13吉瓦（6-22%）。随着更多的间歇性可再生能源发电和电动汽车充电的增加，企业客户的能源成本一直在增加，可变费用占账单的59%，并将进一步增加（Inenco，2018）。正如英国碳信托（2016年）所确定的那样，到2030年，更智能的能源系统每年可为消费者提供24亿至80亿英镑的收益。然而，目前它们的回收期超出了投资者和企业的典型短期预期。此外，参与需求管理服务和需求侧响应目前仅适用于高能耗用户-迄今为止，只有相对较少的工业客户和大型建筑业主通过部署智能技术和储能解决方案而受益。或者，当地能源市场可以激励当地发电和需求管理，同时降低消费者的成本。配电系统运营商（DSO）正在寻求奖励提供商的灵活性，以管理网络的限制。客户需要能够响应市场价格信号的系统。Qbots系统可以连接到半小时（HH）和智能计量站点、能源监测传感器、楼宇管理系统（BMS）、太阳能光伏和电池存储，以收集、可视化和分析站点数据。UrbanX项目将开发一个创新的本地能源交易系统，利用灵活性、电池存储、太阳能发电和电动汽车充电，在基尔大学的建筑物之间交换能源。一个名为QEnergy的人工智能中介服务平台将用于并网测试台，数据来自基尔大学的建筑。UrbanX将提供更便宜的能源账单，同时通过提供需求侧响应等价值服务来释放能源市场的收入。UrbanX将根据本地站点需求管理电动汽车充电，从而减少网络压力。将与大曼彻斯特博尔顿的商业客户进行试点试验，以进行零售，商业办公和住宅建筑的混合用途重建。这将有助于完善产品和服务，实现项目以外的未来商业化，目标是新的市中心开发和私人网络校园网站，包括大学，商业园，科技园和机场。QEnergy（[www.qenergy.ai][0]）的产品也将直接提供给客户，并将针对当地地区，同时与地方当局合作。[0]：http://www.qenergy.ai/网站

According to National Grid's Future Energy Scenarios (2018), peak electricity demand could increase by 3-8 GW by 2030 (4-14%) and by 3-13 GW by 2050 (6-22%). With more intermittent renewable generation and an increase in EV charging, energy costs for business customers have been increasing, with variable charges forming 59% of the bill and set to increase even further (Inenco, 2018). As identified by the Carbon Trust - UK (2016), a smarter energy system could provide benefits to consumers of £2.4-8 billion per year by 2030\.Local renewable generation including solar is essential to achieve UK carbon reduction targets. However, currently their payback periods are beyond the typical short-term expectations of investors and businesses. Furthermore, participation in demand management services and demand side response is currently only viable for high energy users - only a relatively low number of industrial clients and large building owners have taken advantage to date, by deploying smart technology and energy storage solutions. Alternatively, local energy markets can incentivise local generation and demand management while reducing costs for consumers. Distribution system operators (DSOs) are looking to reward providers of flexibility in order to manage network constraints. Customers need systems that enables them to respond to market price signals.Qbots systems can connect to Half-Hourly (HH) and smart metered sites, energy monitoring sensors, Building Management Systems (BMS), solar PV and battery storage, to collect, visualise and analyse data from sites. The UrbanX project will develop an innovative local energy trading system to exchange energy between buildings at Keele University, utilising flexibility, battery storage, solar generation and EV charging. An AI intermediary service platform, called QEnergy, will be used in a grid-connected test-bed, with data from Keele University buildings. UrbanX will deliver cheaper energy bills while unlocking revenue from the energy markets by providing value services like demand side response. UrbanX will manage EV charging with local site demand thereby reducing the stress on the network. A pilot trial will be undertaken with a commercial customer in Bolton, Greater Manchester, for a mixed-use redevelopment with retail, commercial office and residential buildings. This will help refine the product and services enabling future commercialisation beyond the project, targeting new city centre developments and private network campus sites including universities, business parks, science parks, and airports. The offering of QEnergy ([www.qenergy.ai][0]) will also be available directly to customers and will target local regions, while working with local authorities.[0]: http://www.qenergy.ai/