B EYOND BENCHMARKING S EATTLE O FFICE OF S USTAINABILITY AND E NVIRONMENT Renewable Cities 5.14.15 U SING DATA TO DRIVE ENERGY EFFICIENCY ACTION.

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Presentation transcript:

B EYOND BENCHMARKING S EATTLE O FFICE OF S USTAINABILITY AND E NVIRONMENT Renewable Cities U SING DATA TO DRIVE ENERGY EFFICIENCY ACTION

Seattle’s Climate Goal: Carbon Neutral City by 2050

2013 Climate Action Plan Strategy

What We’ve Done to Get Started Major building renovations require compliance with current energy code Energy Benchmarking and Disclosure requirement And more ….

Measuring Progress Climate Action Plan Targets Building Energy Use ( ) Target Reduction: 1.25% / year GHG Intensity of Fuels ( ) Target Reduction: 1.5% / year Overall Building Emissions ( ) Target Reduction: 2% / year Actual : 0.75% / year Actual : 1.75% / year Actual : 2.5% / year

Next Steps More detailed analysis and tracking – Translating citywide targets to individual building types – More detailed forecasting and analysis of potential policy impacts Considering “Next Generation” Energy Efficiency policies and programs

Efficiency Policies & Programs P OTENTIAL N EXT S TEPS Full public disclosure of information Commissioning / Retro-commissioning requirements New incentives Performance targets / requirements

How can we make the most of our Benchmarking data and relationships to reach our goals? Question?

9 9 Allow an informed market to drive energy efficiency improvements Benchmarking Policy

10 Phased Implementation 10 Commercial 50k+ sfMultifamily 50k+ sfCommercial + Multifamily 20k+ sf

11 Policy Requirements 11  Benchmark Energy Use with EPA’s Portfolio Manager  Annually Report Building Energy Use (EUI and/or ENERGY STAR score)  Disclose Upon Request Seattle’s Commercial & Multifamily buildings 20,000 SF or larger:

12  More than 3,000 buildings greater than 20,000 sf  Represents about 270 million sf  98% of buildings in the dataset Analysis Dataset 12

13 Data Analysis 13 Full report at: (Go to Save Energy, then Energy Scores Tab)

14 EUI Range by Building Type 14

15 Potential Savings 15 $55 million saved each year if all buildings with high energy use improved to become average energy users = 25% total energy savings. $90 million saved each year if all buildings with high energy use improved to become low energy users = 40% total energy savings.

16 Encourage Action 16

17 Market Research 17 Ethnography Interviews Focus groups Surveys

18 Feedback Loops 18

19 Support Property Managers 19 Relatable similar scenarios Financial incentives Data visualization Give us personalized support Share peer success stories

20 Data Integration 20 Seattle City Light combined datasets NEEA seeking control group norms Department of Planning and Development incentive and code applications OSE next generation policy approach

21 Market Responses 21

Rebecca Baker Energy Benchmarking Program Manager Christie Baumel Energy Policy Advisor Q & A