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Baselining, measuring, and verifying Prenova’s sustained energy efficiency improvements and carbon emission reductions is certified through Prenova’s Statistical Portfolio Profiler (SPP). The SPP is a set of integrated tools and processes for establishing energy consumption, carbon emissions, and energy efficiency improvement baselines, median performance, and benchmarks. SPP is based on Six Sigma principles. Plans are underway for ISO 9000 and ISO 14000 certification.
Problem: Customers are challenged in establishing baselines and processes from which energy consumption and emissions reductions can be measured and tracked. There is a direct, measurable correlation between facility consumption patterns and a host of other variables, such as facility age, size, geography, maintenance practices, and foot traffic. How does a company obtain visibility into which combination of variables is driving excess energy consumption and emissions? How does a company validate measurements so that improvements can be registered for potential exchange?
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Solution: Prenova’s Statistical Portfolio Profiler (SPP) process is the driver in establishing a baseline median of energy usage and carbon emissions from which all subsequent improvements and cost analyses can be examined, measured, and verified. The Statistical Portfolio Profile defines the relative performance (kWh/SqFt) of all sites within a portfolio, as well as the carbon emissions footprint of that portfolio. This allows Prenova to categorize facility performance into operational bands grouped around the median. This categorization assists in the identification of priority performance conditions (e.g. facilities shown to be highly inefficient) and to begin the analyses of correlating factors contributing to these results.
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The SPP delivers metrics down to the site level which can be used to chart progress and improvements in energy efficiencies, as well as verifying, through the combination of these processes, the effective movement of both the overall portfolio’s median, and each facility to the median. Please reference the charts below for a small sampling of the Statistical Portfolio Profiler output. |
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 Chart 1:
Snapshot of energy consumption (kWh per sq. ft.) distribution across the portfolio.
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 Chart 2:
Four categories of usage based on the median usage value – from low (1) to high (4).
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 Chart 3:
Geographical plot of facilities by usage categories. This can be drilled down by regions, districts, zip codes, weather zones and any other geographical view.
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Using this method, we generate visibility into facility and equipment performance, to quickly showcase those assets which will yield the quickest returns. All information is presented in detailed, yet easy to understand set of diagnostics and charts. Strategies and plans undertaken to create improvements are tracked, measured, and results verified through subsequent iterations of these processes. Sophisticated techniques are employed recognizing and quantifying the effect of key factors such as weather normalization.
Prenova’s unique Asset Optimization SM solution complements these processes with its ability to remotely conduct a diagnostic deep dive into the performance of facility assets and systems. These diagnostics provide the means to assess and prioritize specific actions for improvement.
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Outcome: Statistical Portfolio Profiler creates an unmatched level of visibility, manageability, and predictability over portfolio consumption performance and carbon emissions. |
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Copyright © 2008, Prenova, Inc. All Rights Reserved |