Abstract
There has been considerable interest in recent years in deploying smart meters in residential homes capable of distinguishing appliance-specific usage from whole-house consumption. Smart meters used in conjunction with algorithms that analyze usage data and other appliance attributes have been found to be a cost-effective and scalable approach. Based on this idea, the authors recently reported a laboratory-based solution for natural gas consisting of an encoder module retrofitted onto an existing residential gas meter. In this work, a detailed analysis of real gas consumption rates and patterns from common household appliances is performed and used to simulate the metering performance of a meter equipped with such an encoder module. The simulation is used to establish the optimal encoder resolution for a prototype encoder design that balances cost with performance. Improvements to the algorithms presented in the previous study to analyze the time-resolved data by deducing which appliance is using natural gas are also presented. The design, fabrication, and testing of a prototype encoder module is also presented.
| Original language | English |
|---|---|
| Pages (from-to) | 357-365 |
| Number of pages | 9 |
| Journal | Applied Thermal Engineering |
| Volume | 75 |
| DOIs | |
| State | Published - Jan 22 2015 |
Keywords
- Automated meter reading (AMR)
- Natural gas
- Natural gas meters
- Rotary magnetic encoders
- Smart meters
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