Using Smart Metering to Cut Energy Costs
USING SMART METERING TO CUT ENERGY COSTS
Tuesday, October 11, 2011 / Chicago, IL
(held in conjunction with WEEC 2011)
Seminar held at Navy Pier
‘Smart’ meters (also called interval meters) measure and communicate electricity usage in near real time, showing how power is being used in short (e.g., 15-minute) periods. By accessing and understanding such data, facility managers, utilities, and contractors cut costs by trimming peak demand, uncovering hidden waste, and employing lower cost utility and market-based electric rates.
Through in-depth instruction, this seminar covers the basics of ‘smart’ metering, including its use in demand response and other cost-cutting utility programs, and ways to cut costs even without such programs. Lindsay Audin (CEM, CEP, LEED AP) walks participants through the catalysts pushing smart metering and the new tariffs they are fostering. When and how to deploy such metering at facilities will be covered, as well as the costs, paybacks, and specification of customer-owned interval metering. To demonstrate how to analyze interval meter data (both statistically and visually), many real-life examples are covered.
Participants receive and use several advanced Excel-based tools (not available elsewhere) for configuring, visualizing, and analyzing data from smart meters. While not essential, in-class use of a laptop equipped with Excel (versions 2000 to 2003 only) is encouraged during the afternoon half of the seminar. Hookup to power strips will be available.
- What is ‘smart’ metering?
- Who/what is pushing it, and why?
- Cutting cut costs with them
- Profiles we will create today
- Basic load profiling and interval data
- Developing/understanding energy usage patterns
- Ways to cut peak demand
- Overview of time-sensitive electric rates
- Turning numbers into information
- Load factor as a limited shorthand
- The technical essentials of smart meters
- Data acquisition systems and support services
- Ways to pay for metering hardware/software
- Securing and formatting interval data files
- Macros & templates to simplify the job
- Wholesale energy pricing and demand response
- Using load profiles to find and fix problems
- Correlating usage with hourly temperature data
- Eleven examples of problems and fixes
- Tips for anomaly analysis
- Starting with a sample meter data file
- Creating 2D/3D profiles and load duration curves
- Pinpointing anomalies
- Correlating with other variables
- Quantifying potential savings
- Using charts to train personnel and improve operations

