City- and Community-Scale Energy Data Analytics: Finding the Energy Waste with Virtual Audits

Size: px

Start display at page:

Download "City- and Community-Scale Energy Data Analytics: Finding the Energy Waste with Virtual Audits"

May Tyler
8 years ago
Views:

1 City- and Community-Scale Energy Data Analytics: Finding the Energy Waste with Virtual Audits % Estimated Energy Use and Behavior-based Savings Opportunities by Commercial Building Type and End Use: BALTIMORE 33% 28% 18% Estimates of energy consumption are presented as stacked bars for each type of commercial building. Behavior-based savings opportunities are shown as percentages of current demand. 8%??% Office Buildings Food Sales Food Public Assembly Religious Worship Warehouse and Storage Other and Vacant Space Heating Space Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other Kat A. Donnelly, Ph.D. Empower Efficiency, LLC November 17, 2014

2 Drive-By Infrared and Data Analysis Histogram of gusher score Histogram of Gusher Score Summerville, MA Efficiency Potential Number of buildings Gusher score 2010 MIT Field Intelligence Laboratory 12/4/2014 2

3 Utility Data: Density Maps of Energy Waste Summer Winter Annual Months Total Donnelly, K. A. and J. Sklarsky, Michaels, H. (2010). Leveraging Information to Map Community Electricity Use 12/4/2014 Information: Benefits, Barriers, and Solutions. A launching point for discussion. Washington, D.C., Edison Electric 3

equipment retrofits Lacey, S. (2013). "Virtual Audits Uncover Surprising Trends in Building Energy Efficiency.

4 Virtual Audit Technologies (Using Data Analysis) 500 Buildings/60M sq. ft. Focus on high potential > 50% of opportunity Behavior changes Operation tweaks Scale in the US $17B in savings No equipment retrofits Lacey, S. (2013). "Virtual Audits Uncover Surprising Trends in Building Energy Efficiency." theenergycollective. from 12/4/2014 4

5 Behavior Wedge Modeling: Estimating Achievable Savings Existing Data Sources Commercial Building Energy Consumption Survey (CBECS) Commercial Building Energy Research Census data Expert Advice (Advisory Committee) Human Dimensions Research Associates Commercial Behavior Wedge Estimation Model Current Energy Demand Eligibility Participation Rate Savings Rate Achievable Savings 12/4/2014 5

re 1000 900 800 Billion BTUs 300 200 100 Behavior Wedge Estimates: Baltimore Example Segments Office Buildings 44% Human Dimensions Research Associates Estimated Energy Use and Behavior-based Savings

6 re Billion BTUs Behavior Wedge Estimates: Baltimore Example Segments Office Buildings 44% Human Dimensions Research Associates Estimated Energy Use and Behavior-based Savings O Building Type and End Use: BAL Food Sales Food Public Assembly Space Heating Space Cooling Ventilation Water Heating Ho L Food Sales Food Pub Assem Space Heating Space Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Eq Religious Worship Warehouse and Storage eating Lighting Cooking Refrigeration Office Equipment Computers Other 18% 8%??% Other and Vacant % Office Food Sales 12/4/2014 Buildings 6

7 Using Existing Data and Analytics Find the Energy Waste Verify the Savings Inform Policies and Programs Determine how to motivate communitywide behavior change % Estimated Energy Use and Behavior-based Savings Opportunities by Commercial Building Type and End Use: BALTIMORE 33% 28% 18% Estimates of energy consumption are presented as stacked bars for each type of commercial building. Behavior-based savings opportunities are shown as percentages of current demand. 8%??% Office Buildings Food Sales Food Public Assembly Religious Worship Warehouse and Storage Other and Vacant Space Heating Space Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other 12/4/2014 Donnelly, Sklarsky, Michaels, H. (2010) 7

2012 CBECS: Preliminary Results and Timeline for Data Release

2012 CBECS: Preliminary Results and Timeline for Data Release Joelle Michaels, CBECS Survey Manager Interagency Sustainability Working Group September 18, 2012 Washington, DC U.S. Energy Information Administration