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Weili Xu, Carnegie Mellon University |
The Cornell Temperature Datalogger Project placed temperature dataloggers into 200 people’s homes for two weeks at a low-cost of $5. With 3-minute time scale, we observe temperature setbacks and the rate of thermal decay to reach those setbacks. Using this data, we are able to create a histogram of thermal decay and thermal setpoints for benchmarking the community. Compared to utility-meter-based approaches, temperature analysis more directly isolates shell performance. This helps identify community energy “hot spots” (80/20 rule) where shell retrofits would make the most impact. Correlations with building age, size, and heating fuel type will also be presented.