Battery energy storage for buildings and communities: sizing and control strategies for multiple services and objectives

建筑物和社区的电池储能：多种服务和目标的规模调整和控制策略

• 批准号: 402578-2013
• 负责人: Swan, Lukas
• 金额: $ 1.75万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638945
• 关键词: Battery; energy; storage; buildings; communities

Renewable electricity generators (REG), such as wind turbines and photovoltaics, reduce fossil-fuel use and greenhouse gas (GHG) emissions. However, their output does not match electricity demands and consequently requires technology to act as an intermediary. The objective of this research program is to develop control strategies for battery energy storage systems (BESS) that are suitable for buildings connected to the electricity grid. BESS are uniquely suitable storage for buildings as they are sealed and highly efficient. Co-locating BESS in buildings and communities with REG (e.g. net-zero energy buildings) has several advantages compared to centralized storage, demand side management, and thermal storage; including: (1) charge/discharge of electricity, (2) efficiency because of proximity to distributed generators and demands, and (3) no influence upon building occupants. Several BESS models have been proposed, however they are not comprehensive in their treatment of control strategies and they lack experimental data for calibration.This research will address these knowledge deficiencies by creating optimal sizing methods and comprehensive BESS control strategies for buildings and communities. The new sizing and control strategy will simultaneously incorporate characteristics of renewable resources (wind, sun, tides), buildings (heat/cooling, lighting, appliances), electricity grid (ramp rate, min/max capacity), and batteries (power, capacity, efficiency, life). The strategy will decide to charge/discharge/standby on the basis of maximizing benefits to the REG, electricity grid manager, and building manager, so as to achieve technical, economic, or GHG emissions objectives. Experiments will be carried out using advanced battery technologies and power-cyclers to provide real operational data for calibrating these BESS control strategy models. Models of the control strategy will be integrated within existing building simulation software and community level REG models, thereby enabling energy management and construction industries to design and specifying building integrated BESS.

可再生能源发电机（REG），如风力涡轮机和光伏发电，减少化石燃料的使用和温室气体（GHG）排放。然而，它们的产出与电力需求不匹配，因此需要技术作为中介。该研究计划的目标是开发适用于连接到电网的建筑物的电池储能系统（BESS）的控制策略。BESS是唯一适合建筑物的存储，因为它们是密封的，高效的。与集中式存储、需求侧管理和热存储相比，将BESS与REG（例如净零能量建筑）共同定位在建筑物和社区中具有若干优点;包括：（1）充电/放电，（2）由于接近分布式发电机和需求而具有效率，以及（3）对建筑物占用者没有影响。目前已经提出了几种BESS模型，但它们在处理控制策略方面并不全面，而且缺乏实验数据进行校准，本研究将通过创建最佳尺寸方法和针对建筑物和社区的全面BESS控制策略来解决这些知识缺陷。新的规模和控制策略将同时结合可再生资源（风能、太阳能、潮汐）、建筑物（供热/制冷、照明、电器）、电网（斜坡率、最小/最大容量）和电池（功率、容量、效率、寿命）的特性。该策略将基于REG、电网管理者和建筑物管理者的利益最大化来决定充电/放电/待机，以实现技术、经济或GHG排放目标。将使用先进的电池技术和功率循环器进行实验，以提供用于校准这些BESS控制策略模型的真实的操作数据。控制策略的模型将集成到现有的建筑模拟软件和社区级REG模型中，从而使能源管理和建筑行业能够设计和指定建筑集成BESS。