SBIR Phase II: Isolating Specific Appliance Energy Usage from Whole Building Energy Consumption

这项小企业创新研究（SBIR）第二阶段项目将进一步发展IBUCS的公用事业会计电力负荷分解系统，并在小型商业环境中进行性能试验。公用事业纳税人需要详细的信息来更有效地识别和减少低效的设备和活动。目前正在部署的新一代智能电表用于自动读取和使用时间定价，无法提供这种级别的细节。在第一阶段研究中评估的信号处理算法准确地将单个设备使用的功率从一条腿或电路上存在的许多设备的总功率信号中隔离和量化。在建议的项目中，将对负载分解算法进行额外的增强，这将大大提高系统的准确性和可靠性。纳税人可进入一个安全网页，查阅他们在大厦或楼宇组内使用特定电器的费用。提供的细粒度视角将使最终用户能够(1)计算设备维修和升级的投资回报期，(2)开发数据驱动的节能最佳实践，以及(3)确保长期保持成本降低。当这项技术作为新一代智能电表的一部分部署到整个住宅和商业领域时，将产生更广泛的影响。直接监控多个特定负载的商业可用系统的成本要高一个数量级，而且安装和维护的难度也更高。提供电器的具体负荷信息有可能改变纳税人节约能源的能力。第二阶段项目的预期结果是创建一个易于使用的工具，将持续教育小型企业或特许经营经营者减少能源消耗。在全国范围内，快速服务企业（即快餐店、加油站和小型超市）占商业建筑的10%左右，但由于规模小，能源管理公司通常服务不足。IBUCS将通过一家能源管理公司为物业经理提供增值服务。

This Small Business Innovation Research (SBIR) Phase II project will further develop the IBUCS' Utility Accountant electrical load disaggregation system and conduct performance trials in small commercial settings. Utility ratepayers need granular information to more effectively identify and mitigate inefficient appliances and activities. The new generation of smart electric meters currently being deployed for automated reading and time of use pricing are not be able to provide this level of detail. The signal processing algorithms evaluated during the Phase I study accurately isolate and quantify the power used by individual appliances from the aggregate power signal of the many appliances present on a leg or circuit. In the proposed project, additional enhancements will be made to the load disaggregation algorithm that will significantly improve system accuracy and reliability. Ratepayers will access a secure webpage to view their cost to operate specific appliances in their building or groups of buildings. The granular perspective provided will enable end-users to (1) calculate their own investment return periods for equipment repairs and upgrades, (2) develop data driven best practices for energy conservation, and (3) ensure that cost reductions are maintained over the long term.The broader impact will occur when the technology is deployed throughout the residential and commercial segments as part of a new generation of smart meters. Commercially-available systems that directly monitor multiple specific loads are more expensive by an order of magnitude and inherently more difficult to install and maintain. Providing appliance specific load information has the potential to transform ratepayers' ability to conserve energy. The intended outcome of this Phase II project is to create an easy-to-use tool that will continually educate small business or franchise operators to reduce energy consumption. Nationally, Quick Serve businesses (i.e. fast-food restaurants, gas stations, and minimarts) account for ~10% of commercial buildings but are generally underserved by energy management companies due to their small size. IBUCS will provide a value-added service to the property manager through an energy management company that serves this segment.