On behalf of the California Energy Commission, the University of California's Lawrence Berkeley National Laboratory seeks your help in developing the next generation of energy benchmarking tools for non-residential facilities.
Completing this 10-question survey should take only a few minutes, and in return you will have the option to receive the results and be kept abreast of our project as it progresses. If you are a non-user of benchmarking, answer the subsequent questions in a way that you believe reflects the ultimate users of benchmarking tools.
We call our approach
"Action-Oriented Benchmarking" to reflect the goal that in addition to providing comparative information for a user's facilities to similar facilities, we will provide site-specific practical recommendations on how to improve energy performance.
To provide benchmarking comparisons, this web-based tool will initially utilize an extremely rich survey of energy and building characteristics information for about 2800 buildings from the latest
California Commercial End-Use Survey (CEUS), expanding to a national profile over time. The tool will not substitute for a full-blown audit or simulation, but will help users begin the process of formulating an energy-saving strategy for their facility.
Related benchmarking
projects are underway at LBNL with support from the California Energy Commission, USDOE, NYSERDA, and others.
If you have questions about this survey or project, please contact Evan Mills
via email or 510-486-6784.
| | not important | somewhat important | important | very important | essential |
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| Whole-building metrics (e.g. energy per square foot) | | | | | |
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| System or end-use metrics (e.g. lighting energy use per square foot) | | | | | |
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| Peak electricity demand metrics (e.g. watts per square foot) | | | | | |
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| Energy cost metrics (e.g. energy expenditures per square foot) | | | | | |
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| Energy-related emissions metrics (e.g. greenhouse-gas emissions per square foot) | | | | | |
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| Energy productivity metrics (e.g. energy expenditures per customer, energy use per server, ...) | | | | | |
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| | not important | somewhat important | important | very important | essential | N/A |
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| Applicability to existing buildings (to improve operations or identify capital improvements) | | | | | | |
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| Applicability to new buildings (to select energy-saving design features) | | | | | | |
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| Comparing your building to other buildings ("Cross-sectional" benchmarking) | | | | | | |
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| Following trends in your benchmark results over time ("Longitudinal" benchmarking) | | | | | | |
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| Benchmarking at the "end-use" level (e.g. cooling, lighting) in addition to whole-building level | | | | | | |
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| Enterprise application (ability to enter multiple buildings and conduct comparisons among them) | | | | | | |
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| Importing your data from an energy information system, CAD, or Building Information Model rather than entering manually | | | | | | |
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| Importing your energy consumption directly from your utility rather than entering via a web interface | | | | | | |
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| Importing your project data from the ENERGY STAR benchmarking tool | | | | | | |
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| Weather-normalizing your raw energy use data | | | | | | |
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| Viewing your benchmark results in context with those of other users of the tool (as opposed to seeing your results only with respect to a smaller, fixed statistical survey of facilities) | | | | | | |
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| | not willing | moderately willing | very willing |
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| Annual energy data | | | |
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| Monthly energy data | | | |
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| Facility or equipment information (e.g. floor area, types of HVAC or lighting, operating conditions) | | | |
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