Table 10 Data employed to determine the computational energy signature
From: Planned energy-efficient retrofitting of a residential building in Italy
Period | Hours | Energy kWh | Power kW | Te °C |
|---|---|---|---|---|
Oct. 1 – Oct. 15 | 360 | 404.7 | 1.12 | 16.62 |
Oct. 16 – Oct. 31 | 384 | 2668.2 | 6.95 | 12.39 |
Nov. 01 – Nov. 15 | 360 | 4169.6 | 11.58 | 10.30 |
Nov. 16 – Nov. 30 | 360 | 6109.5 | 16.97 | 6.48 |
Dec. 01 – Dec. 15 | 360 | 7732.7 | 21.48 | 4.57 |
Dec. 16 – Dec. 31 | 384 | 8513.4 | 22.17 | 3.24 |
Jan. 01 – Jan. 15 | 360 | 8997.3 | 24.99 | 1.15 |
Jan.16 – Jan. 31 | 384 | 9409.0 | 24.50 | 2.23 |
Feb. 01 – Feb. 15 | 360 | 8374.7 | 23.26 | 2.37 |
Feb. 16 – Feb. 28 | 312 | 5568.1 | 17.85 | 6.61 |
March 01 – March 15 | 360 | 5582.1 | 15.51 | 6.93 |
March 16 – March 31 | 384 | 3313.0 | 8.63 | 11.74 |
April 01 – April 15 | 360 | 1431.7 | 3.98 | 15.04 |
April 16 – April 30 | 360 | 1835.0 | 5.10 | 12.61 |