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Big Data Energy Management for Big Buildings
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Big Data Energy Management for Big Buildings

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kWantera provides a big data analytics for energy management. Mark Desantis, kWantera CEO, presented at the Buildings NY conference in New York City May 3, 2012.

kWantera provides a big data analytics for energy management. Mark Desantis, kWantera CEO, presented at the Buildings NY conference in New York City May 3, 2012.

Published in: Technology, Business

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  • 1. Big Buildings, Big Data BuidlingsNY Javits Center, New York, New York May 3, 1:30 PM to 2:30 PM
  • 2. We shape our buildings (data) andafterwards, our buildings (data)shape us. Winston Churchill
  • 3. Some facts* …• Buildings consume 72% of US electricity.• Portion of energy in buildings used inefficiently or unnecessarily: 30 percent **• The average American is inside a building 87% of the time.• US spends $400B per year to heat & power buildings – more than Medicare.*Reinventing Fire: Bold Business Solutions for the New Energy Era, A. Lovins, 2012.**US EPA Energy Star Program: ―Useful Facts & Figures‖, June 1, 2007.
  • 4. Big Data is here already ...* • A UK retailer collects 1.5B attributes every month to adjust prices & promotions. • 30% of Amazon’s online sales come from its recommendation engine. • In 15 of 17 sectors cos. >1K employees store 235 terabytes — more than the Library of Congress. • Global personal location data = $100B revenue for service providers.*‖Building with big data‖, The Economist, May 1, 2012 & *IDC; US Bureau of Labor Statistics; McKinsey Global Institute analysis.
  • 5. US companies have ~100 terabytes of data * Stored Petabytes 2009Discrete manufacturing 966Government 848Communications and media 715Process manufacturing 694Banking 619Health care providers 434Securities and investment services 429Professional services 411Retail 364Education 269Insurance 243Transportation 227WholesaleUtilities 202 194 Fraction all availableResource industries 116 energy data.Consumer & recreational services 106Construction 51 *IDC; US Bureau of Labor Statistics; McKinsey Global Institute Analysis.
  • 6. Big Data = Real-time data drives real-timedemand management. Avoided Costs T
  • 7. Big Data = Participation in all buying &selling markets. Real-Time Day-Ahead Day Day RT RT Day-Ahead T
  • 8. Big Data = Real-time power qualitymanagement. ID/predict problems & recommend actions