Quantifying the energy savings of various energy efficiency measures (EEMs) for an energy retrofit project often necessitates an energy audit and detailed whole building energy modeling to evaluate the EEMs; however, this is often cost-prohibitive for small and medium buildings. In order to provide a defined guideline for projects with assumed common baseline characteristics, this paper applies a sensitivity analysis method to evaluate the impact of individual EEMs and groups these into packages to produce deep energy savings for a sample prototype medium office building across 15 climate zones in the United States. We start with one baseline model for each climate zone and nine candidate EEMs with a range of efficiency levels for each EEM. Three energy performance indicators (EPIs) are defined, which are annual electricity use intensity, annual natural gas use intensity, and annual energy cost. Then, a Standard Regression Coefficient (SRC) sensitivity analysis method is applied to determine the sensitivity of each EEM with respect to the three EPIs, and the relative sensitivity of all EEMs are calculated to evaluate their energy impacts. For the selected range of efficiency levels, the results indicate that the EEMs with higher energy impacts (i.e., higher sensitivity) in most climate zones are high-performance windows, reduced interior lighting power, and reduced interior plug and process loads. However, the sensitivity of the EEMs also vary by climate zone and EPI; for example, improved opaque envelope insulation and efficiency of cooling and heating systems are found to have a high energy impact in cold and hot climates.

量化能源改造项目的各种能效措施 (EEM) 的节能情况，通常需要进行能源审计和详细的整个建筑能源建模来评估 EEM；然而，这对于中小型建筑来说通常成本过高。为了为具有假定共同基线特征的项目提供明确的指导方针，本文采用敏感性分析方法来评估单个 EEM 的影响，并将这些影响分组，从而为跨越 15 个气候区的样本原型中型办公楼实现深度节能在美国。我们从每个气候区的一个基线模型和九个候选 EEM 开始，每个 EEM 具有一系列效率水平。定义了三个能源绩效指标 (EPI)，即年用电量、年天然气使用强度和年能源成本。然后，应用标准回归系数 (SRC) 敏感性分析方法确定每个 EEM 对三个 EPI 的敏感性，并计算所有 EEM 的相对敏感性以评估其能量影响。对于选定的效率水平范围，结果表明，在大多数气候区具有更高能量影响（即更高灵敏度）的 EEM 是高性能窗户、减少内部照明功率以及减少内部插头和过程负载。然而，EEM 的敏感性也因气候带和 EPI 而异；例如，发现改进的不透明外壳绝缘材料和冷却和加热系统的效率在寒冷和炎热的气候中具有很高的能量影响。应用标准回归系数（SRC）敏感性分析方法来确定每个 EEM 对三个 EPI 的敏感性，并计算所有 EEM 的相对敏感性以评估其能量影响。对于选定的效率水平范围，结果表明，在大多数气候区具有更高能量影响（即更高灵敏度）的 EEM 是高性能窗户，降低了内部照明功率，并降低了内部插头和过程负载。然而，EEM 的敏感性也因气候带和 EPI 而异；例如，发现改进的不透明外壳绝缘材料和冷却和加热系统的效率在寒冷和炎热的气候中具有很高的能量影响。应用标准回归系数（SRC）敏感性分析方法确定每个 EEM 对三个 EPI 的敏感性，并计算所有 EEM 的相对敏感性以评估其能量影响。对于选定的效率水平范围，结果表明，在大多数气候区具有更高能量影响（即更高灵敏度）的 EEM 是高性能窗户、减少内部照明功率以及减少内部插头和过程负载。然而，EEM 的敏感性也因气候带和 EPI 而异；例如，发现改进的不透明外壳绝缘材料和冷却和加热系统的效率在寒冷和炎热的气候中具有很高的能量影响。