总的来说，事实证明，美国市政和州的基准和披露计划在鼓励建筑节能的强大市场发展方面是有效的。美国部分城市的可用数据显示，在两年内，这些项目单位建筑面积的节能率在6%到8%之间（Pan等人，2016，10）。然而，尽管这些计划有其优点，但仍发现了一些不足之处，包括:（1）需要更高效、更具成本效益地评估建筑物的改造机会；（2）基准和披露流程的更高标准化和自动化。为了解决这些缺点，劳伦斯伯克利国家实验室、约翰逊控制公司和ICF国际公司正在开发一种免费、在线、开源的建筑能效升级目标工具。美国供暖、制冷和空调工程师协会（ASHRAE）的逆向建模工具包（IMT）和约翰逊控制公司的精益能源分析是该工具的技术基础，该工具将自动回归每月能源使用量与环境温度的关系； 比较模型系数，量化能源和成本节约潜力；并分析模型系数，以确定单个建筑或投资组合的节能措施（操作或设备）。该工具以其开源、模块化、在线和100%自动化的格式独树一帜。源代码将发布在GitHub上，从而供建筑社区使用和修改。本文讨论了:（1）市场对该工具的需求；（2） 该工具的分析方法，基于ASHRAE的IMT和精益能源分析的结合；（3） 具有行业影响力的工具创新，包括构建变更点选择的全自动方法；（4） 以及该工具在36座酒店建筑中的早期试点应用结果。还讨论了未来的工作和潜在的应用。引用:2019年冬季会议，佐治亚州亚特兰大，会议论文

In general, U.S. municipal and state benchmarking and disclosure programs have proven effective in encouraging the development of a strong market for building energy efficiency. Available data for select cities in the United States shows that energy savings per unit of floor space for these programs range between 6% and 8% over a two-year period (Pan et al. 2016, 10). Despite the merit of these programs, however, several shortcomings have been identified, including the need for: (1) more efficient and cost-effective assessment of buildings for retrofit opportunities, and (2) greater standardization and automation of the benchmarking and disclosure processes. To address these shortcomings, Lawrence Berkeley National Laboratory, Johnson Controls, and ICF International are developing a free, on-line, open-source, building energy efficiency upgrade targeting tool. The American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Inverse Modeling Toolkit (IMT), and Johnson Controls’ LEAN Energy Analysis, serve as the technical basis for the tool, which will automatically regress monthly energy usage versus ambient temperature; compare model coefficients to quantify energy and cost-savings potential; and analyze model coefficients to identify energy conservation measures (operational or equipment) for a single building or portfolio. The tool is unique in its open-source, modular, online, and 100% automated format. The source code will be published on GitHub and thus available for use and modification by the buildings community. This paper discusses: (1) the market’s need for the tool; (2) the tool’s analytic methodology, based on a combination of ASHRAE’s IMT and LEAN Energy Analysis; (3) tool innovations with industry impact, including a fully automated approach for building change-point selection; (4) and the outcomes of early pilot applications of the tool among 36 hotel buildings. Future work and potential applications are also discussed.