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Maximizing Data Utility for Energy Efficiency: A Strategic Approach

Learn the importance of collecting data in saving money, evaluating efforts, assessing effects, and benchmarking for energy efficiency. Overcome challenges related to proprietary data nature.

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Maximizing Data Utility for Energy Efficiency: A Strategic Approach

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  1. Show me the data! Jonathan Koomey, Ph.D. Lawrence Berkeley National Laboratory JGKoomey@lbl.gov, 510/486-5974, http://enduse.lbl.gov/ Talk is on the web at http://enduse.lbl.gov/shareddata/datatalk.ppt Presented at the Telecommunications Industry Energy Workshop AT&T Technology Center, Washington DC March 21, 2000

  2. Data needs • Equipment sales • Power use (W) by operating mode • Usage (Hours) by operating modes • Equipment stocks (estimate using sales and lifetimes, and/or assess using surveys) • Materials use, reuse, and recycling • Estimate energy use and emissions • Systemic effects (e.g., telecommuting, e-commerce)

  3. The rationale • Why collect these data? • Identify opportunities to save money • Track/evaluate efforts to capture those opportunities • Assess effects of government decisions or external events on company’s bottom line • Why share these data? • Benchmarking against comparable institutions

  4. Join the network for energy, environment, efficiency, and the information economy (N4E) http://enduse.lbl.gov/n4e/

  5. Issues to overcome • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data • Proprietary nature of certain data

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