对建筑设计进行能量模拟所需的输入可能非常广泛，可能无法获得足够的信息。在这种情况下，了解建筑模型中对结果几乎没有影响的变量，以及其他对结果有重大影响的变量，是很有帮助的。使用EE4 CB软件程序对十栋建筑进行敏感性分析，该软件程序验证建筑是否符合加拿大自然资源部商业建筑激励计划的要求，并预测每年的能源成本节约。针对所调查的不同建筑类型，指出了14个所需输入对预测能耗和节能的敏感度。研究发现，建筑模型对描述建筑围护结构特征、安装照明功率密度、建筑室外空气供应、泵类型、HVAC设备效率和温度表的输入最为敏感。 研究发现，建筑物的朝向和热质量、厂用水加热设备效率、送风流量和月平均地温对预测节能的重要性较小。单位:SICitation:专题讨论会，ASHRAE交易，第107卷，pt。2.

The inputs required to carry out the energy simulation of a building design may be extensive and a sufficient amount of information may not be available. In this case, it is helpful to understand those variables in the building model that have little impact on the results versus others that have a significant impact. A sensitivity analysis is performed on ten buildings using EE4 CB, a software program that verifies a building's compliance to Natural Resources Canada's Commercial Building Incentive Program requirements and predicts annual energy cost savings. The degree of sensitivity of 14 required inputs on predicted energy consumption and savings is noted for the different building types that are investigated. The building models are found to be most sensitive to inputs describing the characteristics of the building envelope, the installed lighting power density, the outdoor air supply to the building, pump type, HVAC equipment efficiency, and temperature schedules. The building's orientation and thermal mass, service water heating equipment efficiency, supply air flow, and average monthly ground temperature are found to have less of an importance on predicted energy savings.Units: SI