Managing the value of flexible energy through local battery storage and algorithm based control

通过预测当地的能源消耗，引入微型发电和存储系统，包括固定电池存储和电动汽车，该项目试图创建一个完全集成的当地能源系统，包括个人和聚集的站点。该项目将使用智能算法优化当地能源和能源需求，通过适当调整资产规模，然后对其进行有效管理。固定电池系统的大小可以管理每个本地电网的关键因素，这将确保系统的投资回报率最大化，并优化低碳能源供应的使用，无论是在本地系统内还是通过更广泛的电网网络。通过优化能源存储，该项目还将量化与负荷转移/需求响应相关的碳减排。该项目最初以商业客户为目标，将探索包括插电式汽车和热能电气化在内的新技术的影响和好处。联盟成员将贡献重要的先验知识，当将其结合到我们的项目中时，增强的解决方案将具有商业可行性，并在2015年为我们的目标B2B客户提供服务。

By anticipating local energy consumption and introducing micro-generation and storage systems, including stationary battery storage and electric vehicles, this project seeks to create a fully integrated local energy system of individual and aggregated sites. The project will use smart algorithms to optimise local energy sources and energy demand, through appropriately sizing the assets then managing them effectively. Sizing of the stationary battery systems to manage the critical factors for each local grid will ensure a maximised ROI to the system and optimise the use of low carbon energy supply, whether that be within the local system or available through the wider grid network. By optimising energy storage the project will also quantify carbon savings associated with load shifting/demand response. Initially aimed at commercial customers, the project will explore the impact and benefits of new technologies including Plug in Vehicles and the electrification of heat. The consortium members will contribute significant prior knowledge and when combined in our project, the enhanced solution will be commercially viable and available for our target B2B customers in 2015.