商业建筑能源资产评分由美国能源部太平洋西北国家实验室（DOE）开发，旨在帮助建筑业主评估根据建筑使用类型定义的典型运行和占用条件下的整体建筑能源效率。资产评分工具是一个基于web的应用程序，由一个简化的用户界面组成，该界面构建在一个集中的模拟引擎EnergyPlus上。该工具分析竣工物理特性（包括建筑围护结构、机械和电气系统），确定有可能提高效率的建筑系统，并确定具有成本效益的改造机会。一个有100多栋建筑的试点项目显示，使用整体建筑能源使用指数（EUI）无法充分检查单个建筑系统的效率和性能。具有良好绝缘外壳和较低温度的建筑- 从理论上讲，高效暖通空调设备可以使用与隔热层较差的建筑和高效暖通空调设备相同的能量。对于具有相同energyAsset分数（基于源EUI）的两栋建筑，系统级评估可以让工具用户深入了解系统级性能，并确定需要更多关注的建筑组件。因此，开发了一种基于性能的系统评估方法，用于分析与建筑围护结构、照明、供暖、冷却和服务热水系统有关的各个建筑构件，以及它们之间的相互作用。评估建筑构件的描述方法虽然简单易用，但通常仅限于单变量输入比较。基于模拟的绩效方法被选为主要的系统评估方法，因为资产评分工具检查的大多数系统具有多变量性质。 性能方法将建筑系统的能耗与基线的能耗进行比较。基线值是使用DOE商业建筑模型确定的（Thornton等人，2011年）。不同建筑使用类型的一系列性能范围是根据通过对类似使用类型的原型建筑建模获得的最高和最低能耗开发的，典型的是ASHRAE标准90.1-2004模型定义了下限性能，90.1-2010模型定义了上限性能。通过与预定义的性能范围进行比较，对相邻系统进行排名。例如，在该范围内的系统被视为“良好”这种方法允许高度的灵活性，并将建筑视为一个集成系统。引文:ASHRAE论文CD:2014 ASHRAE年会，华盛顿州西雅图

The Commercial Building Energy Asset Score, being developed by Pacific Northwest National Laboratory for the Department of Energy(DOE), aims to help building owners evaluate overall building energy efficiency under typical operation and occupancy conditions, defined bybuilding use type. The Asset Scoring tool, a web-based application, consists of a simplified user interface built on a centralized simulationengine--EnergyPlus. The tool analyzes the as-built physical characteristics (including building envelope, the mechanical and electrical systems),pinpoints building systems with potential for efficiency improvement, and identifies cost-effective retrofit opportunities. A pilot project with morethan 100 buildings revealed that use of whole building Energy Use index (EUI) could not adequately examine efficiency and performance ofindividual building systems. A building with a well-insulated envelope and low-efficiency HVAC equipment could, theoretically, use the sameamount of energy as a building with a poorly insulated envelope and high-efficiency HVAC equipment. For two buildings with the same energyAsset Score (based on source EUI), the system-level evaluations can give tool users insight into the system-level performance and identify buildingcomponents that need greater attention. Hence, a performance-based system evaluation method has been developed to analyze individual buildingcomponents pertaining to the building envelope, lighting, heating, cooling, and service hot water systems, as well as their interactions. Aprescriptive approach for evaluating building components, though simple to use, is often limited to single variable input comparisons. Asimulation-based performance approach has been selected as the primary system evaluation method due to the multivariate nature of most systemsexamined by the Asset Scoring tool. The performance approach compares the energy use of a building system with that of baselines. The baselinevalues are determined using the DOE Commercial Building Models (Thornton et. al 2011). A series of performance ranges for different buildinguse types are developed from the highest and lowest energy use obtained by modeling the prototype buildings available for similar use types, typicallywith the ASHRAE Standard 90.1-2004 model defining the lower limit performance and the 90.1-2010 model defining the higher limit. Abuilding system is ranked by being compared to the predefined performance ranges. For example, a system falling within the range is considered"good." This methodology allows a high level of flexibility and considers a building as an integrated system.