LEED · Second Brain

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855773667-LEED-v5-O-M-Reference-Guide-Launch-Edition-1 - Page 116

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  • Monthly metered data per energy source . Where only whole building energy meters are available, teams can analyze annual energy use and use the months with the lowest loads to determine the base load. For example, a project in a region with minimal heating or cooling in the spring would have low heating and cooling usage. Teams can then determine the percentage of load associated with heating and cooling by analyzing the winter and summer month meter data, respectively.

  • ASHRAE Level 1 audit . Conducting an ASHRAE Level 1 Energy Audit allows projects to have a third-party reviewer investigate the building conditions, analyze energy meters, inventory building systems, and develop an end-use breakdown for all project energy sources.

  • End-use summary . Develop the end-use summary from trend logs for buildings with a comprehensive building automation system (BAS) or an energy information system (EIS).

  • National databases . Databases that account for climatic differences can be used alone or in conjunction with analyzing the project’s monthly metered data. If this method is used, it will be important to correctly assign the project’s fuel type for each end-use.

o Commercial Buildings Energy Consumption Survey (CBECS) . [51] CBECS is a national

sample survey that collects information on the stock of U.S. commercial buildings, including their energy-related characteristics and energy usage data, in consumption and expenditures. [2] For projects in the U.S., teams can reference the closest building type(s) and extrapolate data from the monthly metered information.

o ENERGY STAR® Portfolio Manager (ESPM) Data Explorer. [52] Similar to CBECS,

ESPM provides a database of energy usage data compiled from projects that have submitted applications to ENERGY STAR®. This option is recommended for teams that are using the ENERGY STAR® score to comply with EAp3: Minimum Energy Performance.

  • Energy model outputs . Teams that can perform a simplified energy simulation or have an existing model from the original design phase efforts can use the simulation’s outputs to provide guidance on the expected percentage breakdowns. While the total energy use may not be identical, depending on the accuracy of the model, teams can determine the expected percentage energy use for each category.

While the total energy use may not be identical, depending on the accuracy of the model, teams can determine the expected percentage energy use for each category.

51 Commercial Buildings Energy Consumption Survey (CBECS. U.S. Energy Information Administration (EIA), n.d.-c, eia.gov/energyexplained/use-of-energy/commercial-buildings.php. 52 ENEGRY STAR, “ENERGY STAR Portfolio Manager Data Explorer,” n.d., energystar.gov/buildings/resources-topic/portfolio- manager-data-explorer.

U.S. Green Building Council LEED v5 Reference Guide for Operations and Maintenance, April 2025 Launch Edition 106

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