AM 3.0 - AMI Utility Integration
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Statement of Methodology

Application
Method
Identify engineering criteria and evaluate type of AMI implementations
There are many different types of AMI systems that provide varying levels of data, functionality, tangible benefits and intangible benefits. An evaluation of AMI systems was performed based on a variety of engineering requirements. The evaluation included the following key features: System density, Available control functions, Data availability, Communication requirements and performance levels
Implement backbone communication system

All AMI systems need a backbone communication system to ultimately send information to its intended parties. The Smart Energy Source team has evaluated the available communication schemes that are available. This evaluation consideration the implementation cost, bandwidth availability, reliability and security of the following technologies: Fiber optics, Licensed wireless, Unlicensed wireless, DSL/Cable

Phase I, Residential AMI Implementation
Phase I consists of gathering data from an existing CREC AMI electric meter and a City of Stillwater AMI water meter. This data would then be provided in the MySource Meter Web 2.0 architecture and mobile (iPhone app)
Phase II, Commercial AMI Implementation Implementation of a commercial (AMI) metering 3-phase application at the Morgan Building located in the Oklahoma Technology and Research Park. This data would then be provided in the MySource Gateway.
Phase III, Expanded Residential AMI Implementation
Phase III consists of installing AMI meters within a subdivision served by the City of Stillwater. The data collected by CREC will be presented in a integrated billing system and MySource Meter.
Phase IV, AMI Installation at OSU Campus
Deployment of AMI in an OSU facility where a Building Automation System is located. The AMI would be integrated with the BAS and MySource architecture.
Host Available Data Create a centralized data repository that will securely and reliably host all of the data associated with the AMI implementation.
Establish business processes to utilize AMI data With the AMI system being phased, it is essential for the organizations to build their processes in such a way to optimize the use of the system and the efficiencies/benefits associated with it.
MySource Meter integration for in home use displays MySource is an open architecture system developed to allow integration with all data gathered at the end user level. This data is accessible and displayed to the end user and the utility for purposes that are useful to the specific user and organization.


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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.


This data is on the SES gateway on MySource and is available to SES Partners. To become an SES parner, click here.



AM 3.0 AMI Utility Integration

Advanced Metering Infrastructure is commonly used today as the most important component of smart grid even though smart grid is much more exhaustive than advanced metering technology. A recent survey from Chartwell Publishing indicated that utilities assign the greatest importance to advanced metering, among several smart grid technologies. The survey reveals utilities believe that advanced metering is the largest smart grid investment they will make.

Case Study Objectives
♦  Evaluate the complete value proposition of a cross-organizational (utility) AMI/MDM system.
♦ Determine the challenges and most effective architecture of a co-hosted AMI system.
♦  Determine the cost and benefits of a joint AMI system.
♦  Determine the tangible and intangible benefits (ROI) to all organizations involved with the AMI system.
♦  Determine the business processes needed to optimize the full benefits of an AMI system (Utility Automation).
♦  Determine what information is most valuable for energy consumers to view and how to manage the wealth of data.




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