The rooftop unit (RTU) decision tree can be used for preliminary screening for replacement of RTU units with more efficient units. This decision tree organizes RTUs into bins for “retrofit,” “replacement,” “no action,” or “needs further analysis.”
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Defining and Including Energy Goals in the Contractual Process: Examples from the NREL campus presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012
Presentation slides from Defining and Including Energy Goals in the Contractual Process: Examples from the NREL campus presentation given at the NASA Net-Zero Energy workshop June 5-6, 2012.
Access to foundational energy performance data is key to improving the efficiency of the built environment. However, stakeholders often lack access to what they perceive as credible energy performance data. Therefore, even if a stakeholder determines that a product would increase efficiency, they often have difficulty convincing their management to move forward. Even when credible data do exist, such data are not always sufficient to support detailed energy performance analyses, or the development of robust business cases.
One reason for this is that the data parameters that are provided are generally based on the respective industry norms. Thus, for mature industries with extensive testing standards, the data made available are often quite detailed. But for emerging technologies, or for industries with less well-developed testing standards, available data are generally insufficient to support robust analysis. However, even for mature technologies, there is no guarantee that the data being supplied are the same data needed to accurately evaluate a product’s energy performance.
To address these challenges, the U.S. Department of Energy funded development of a free, publically accessible Web-based portal, the Technology Performance Exchange™, to facilitate the transparent identification, storage, and sharing of foundational energy performance data. The Technology Performance Exchange identifies the intrinsic, technology-specific parameters necessary for a user to perform a credible energy analysis and includes a robust database to store these data. End users can leverage stored data to evaluate the site-specific performance of various technologies, support financial analyses with greater confidence, and make better informed procurement decisions.