♦ AM 1.0 - Residential AMI Case Study
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Statement of Methodology

Application
 Method
Site Selection
 The following criteria was used to select the site:
Location
Demographics
Comparable construction
TNS System and TWACS
 TNS and TWACS are already in use due to previous system upgrades (AMR, and load control. A new server with greater capacity was installed in order to receive and store the increase in data retrieved by the AMI meters.
Smart Meter Selection
 UMT
TWACS Advanced Meter
 Measurements The following areas will be measured:
The impact of e-tools in helping consumers change their behavior
Effective processes and procedures for proper end-user information
Additional values of AMI
MySource Meter
 Customers can access their real time and historical energy consumption data through this site and from any location that has internet available. MySource meter will also provide weather data.
Education and Training
 In order that customers will attain the most value from MySource and MySource Meter, Central Rural Electric Cooperative will provide hands on training.
Customer Survey
 To measure the effectiveness of the AMI project a survey will be conducted. The survey will include questions pertaining to energy usage and behavior modification.


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Operational Procedures/Best Practices

With Smart Metering still within an infancy stage as to full deployment, much is to be learned from real-life experiences and case studies. Smart Energy Source will determine if this new technology will provide overriding values through new best practices compared to current business practices and models.


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AM 1.0 Residential AMI

Although many utilities have been using automated meter reading technology for reading meters for quite some time, the information was only used to benefit the utility. More specifically, the billing department was the primary department that used the meter readings. With AMI technology the information provided by the meter not only benefits the utility but also the consumer. Another advantage to AMI is the amount of data that the unit is able to gather, the AMI is more advanced than AMR and even utilities are just realizing the potential of AMI technology. The question becomes, are utilities able to utilize this data to improve business practices? At this time the answer is probably not.


Case Study Objectives
♦  Provide e-tools to consumers that will help them make smarter energy decisions.
♦  Make better use of down line automation equipment.
♦  Determine if smart meters decrease service calls and customer billing complaints.
♦  Compare behavior patterns of consumers with smart meters to those who do not have smart meters.
♦ Measure effectiveness of smart meter utilizing surveys and use data to determine if the AMI program benefits the utility and the consumer.
♦  Provide a modeling of time-of-use.
♦  Analyze the impact of AMI on business practices to maximize the benefits enabled by the technology.
♦  Integration of technology to manage the data generated by an AMI system through efficient integration and interoperability measures for the purpose of automating business processes.


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AM 1.0 - Residential AMI Case Study | AM 2.0 - AMI/Systems Operation Integration | AM 3.0 - AMI Utility Integration
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