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Peer Comparison & Energy Efficiency Project Identification

Do you want to know how your facility (or portfolio) ranks against your competitors? Are you tasked with identifying energy saving opportunities for your facility?  Ever wonder about the potential payback of energy efficiency projects?

EnergyWatch’s data-driven decision energy management platform ranks your building against similar subsets of buildings to show whether you’re a low- or high-performing building, identifies and prioritizes cost-saving energy efficiency improvements, and assesses the range of likely savings from these improvements.  Our predictive and prescriptive analytics utilize big data algorithms to reduce the cost of identifying efficiency projects and reduce performance risk.

For true peer comparisons that deliver actionable results, EnergyWatch’s watchwire peer comparison tool compares your building with over 750,000 buildings (and growing) in the Department of Energy Building Performance Database (vs. Energy Star’s comparison against 5,215 buildings from the 2003 CBECS dataset).  Sources of this data include energy disclosure mandates from New York City, San Francisco, and Washington D.C.  With our platform you’ll be able to leverage your data for actual improvements, rather than a simple score and plaque.

Our platform tracks over 90 different building characteristics, such as HVAC system details and air flow controls, in order to provide the ability to compare your building against narrow subsets of buildings to evaluate how you truly compare against competitors.  By comparing against a strictly defined subset, you can easily review how altering one characteristic would affect your future energy use, cost, and emissions.  For example, say your building has the following characteristics:

  • Location: New York, NY
  • Built between 1980-1990
  • Square footage between 500,000 and 650,000 ft2
  • Primary use = Office
  • Operating hours between 8am – 6pm
  • Central cooling – single stage steam chiller

By comparing against a set of buildings in the same subset, but changing from steam chillers to electric centrifugal chillers, you can statistically determine the potential energy use, cost, and emissions savings due to this capital project.  You can then enter an estimated project cost to determine the estimated payback period and ROI, calculated using actual rate projections based on the utility invoice data we’re collecting for your facility.

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