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Energy Benchmarking & Peer Comparison

Energy Benchmarking & Peer Comparison


Over 60,600 buildings and 4.1 billion square feet are required by their city or state to report their energy data to EPA’s Energy Star Portfolio Manager.  EnergyWatch’s watchwire platform integrates with Portfolio Manager’s API, so you won’t have to manually benchmark your data to comply with local laws.  The following cities/states currently require energy benchmarking; select a city/state to learn more about the requirements:


Whether or not your city/state requires Energy Star benchmarking with your data, your property/portfolio can still benefit from voluntarily reporting to Portfolio Manager.  40% of Fortune 500 companies have sustainability goals in at least one of the following areas: GHG reduction commitments, energy efficiency, and renewable energy.  Buildings with an Energy Star label are valued by tenants, with studies showing an increase of 3.6% in occupancy and 2.5% in average rents per square foot.

With watchwire ability to connect with any API, as well as our thorough collection of utility data for your portfolio, EnergyWatch can future-proof your portfolio against additional mandatory reporting requirements and also help you voluntarily report to any benchmarking service in the market, including GRESB and CDP.  Utilize your data to increase your company’s transparency and visibility with shareholders and stakeholders alike.


For true peer comparisons that deliver actionable results, EnergyWatch has created a peer comparison tool, integrated within watchwire, that compares your building with over 750,000 buildings in the Department of Energy Building Performance Database (vs. Energy Star’s comparison against 5,215 buildings from the 2003 CBECS dataset). 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 even enter an estimated project cost to determine the estimated payback period and ROI, calculated using actual rate projections from your utility territory.

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