Monitoring and Benchmarking

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Dr. Torsten Kleiss, November 2015 Monitoring and Benchmarking Energy Performance of Large Building Stocks siemens.com

If you can't measure it, you can't improve it. Peter Drucker (1909 2005) Page 2

Traffic Control Centers obtain detailed real-time information for monitoring and optimizing vehicle flow Source: Siemens AG Page 3

And this is how we monitor and manage energy in our buildings Source: flickr.org Page 4

14 US cities have mandated the reporting of building energy consumption Seattle Portland San Francisco Berkeley, CA Minneapolis Chicago Kansas City Cambridge, MA Boston New York City Philadelphia Washington, DC Atlanta Washington, DC Philadelphia Chicago Seattle Boston San Francisco Austin 46% Cambridge, MA Minneapolis Distribution by covered area New York City 2.8 billion sqft Austin Atlanta Chicago Atlanta Washington, DC Philadelphia 38% New York City 15,300 buildings Seattle Source: Institute t of Building Transformation, buildingrating.org Page 5 Boston San Francisco Cambridge, MA Austin Minneapolis Distribution by covered number of buildings

New York City has the most ambitious and progressive building benchmarking program In 2007, PlaNYC was establish with a goal of reducing greenhouse gas emissions by 30% until 2030 Energy used in buildings contributes t >75% of GHG emissions i and is key to achieve set target Benchmarking Local Law 84 of 2009 Private owners of buildings >50,000 sqf and public buildings > 10,000 sqft must report energy usage yearly More than 15,300 buildings represent 2% of all buildings, but cover >50% of floor space Data collected and scored via Energy Star Portfolio Manager Increase of compliance rate from 75% to 84% from 2011 to 2013 Penalty of 2,000$ per year for non-compliance Aggregated data available for building owners from three private utilities Source: metered.nyc Page 6

Benchmarking data is publicly available Annual reports outline overall performance of existing building stock Distribution of Energy Star Score Publicly Available ab Data and Reports Median Energy Star Score is 20pts higher than US average Source: NYC Local Law 84 Benchmarking Report 2014; metered.nyc Page 7

Average Source Energy Use Intensity of 134 kbtu/sf Variation in Source EUI Sector Impact Office: 195 (22% of buildings) Multifamily: 124 (64% of buildings) Wide spread of energy use intensity, especially in office buildings and retail Office and multifamily buildings contribute > 80% of total energy use Source: NYC Local Law 84 Benchmarking Report 2014 Page 8

New and large office buildings show higher energy consumption EUI and Built Year EUI and Floor Area Office Multifamily Office Median EUI MF Median EUI Office Multifamily Office Median EUI MF Median EUI [kbtu/sqft] 272 268 244 196 173 180 173 177 220 170 188 160 148 137 141 131 127 132 120 118 116 118 118 121 [kbtu/sqft] 244 238 222 228 204 207 196 197 173 162 164 155 140 143 141 143 130 134 120 118 260 147 Pre 1900 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 50-100 100-200 200-300 300-400 400-500 500-600 600-700 700-800 800-900 900-1000 >1000 Year built Gross Floor Area [in 1,000 sqft] Newer office buildings showing higher use of energy, Larger buildings use more energy per area while multifamily buildings are flat Source: NYC Local Law 84 Benchmarking Report 2014 Page 9

Benchmarking results with policy implications in NYC Energy use would be reduced by 18%, if all buildings could reach current average Results and Implications Since 2013, LL87 mandates energy audit and retro-commissioning every 10 years, incl. submission of detailed energy efficiency report By 2025, LL88 requires installation i of sub-meters in non-residential i tenant space Long-term benchmarking data will be used to track policy impacts, e.g. NYC Clean Heat Program to reduce heavy heating oil use Data accuracy and verification Issues Incentivize implementation of improvement measures Impact of large one-time events, i.e. Hurricane Sandy in 2012, to be considered Linking energy usage with output, e.g. occupancy density Page 10

Siemens Site Controls for monitoring and operating large building portfolios Page 11

Key challenges in monitoring and benchmarking large building stocks 1. Prioritization of energy efficiency 2. Costs for data collection 3. Lack of common data platform: variety of communication standards and protocols 4. (Perception) of information security 5. Challenges of financial evaluation beyond energy savings Operational efficiency Productivity and comfort Don t forget If you can't measure it, you can't improve it. If you measure it, you haven t yet improved it. Page 12

Dr. Torsten Kleiss Director Strategy Building Technologies, Control Products and Systems Gubelstr. 22 CH-6300 Zug Switzerland E-mail: torsten.kleiss@siemens.com siemens.com Page 13