The Exemplary Real Time Year weather files (RTYs), current Reference Meteorological Year files (RMYs) and Ersatz Future Meteorological Years (EFMYs) used for these monthly simulations are available for purchase. This will allow clients to simulate their own designs for energy budgeting and monitoring rather than rely on analogy with the performance of these archetypical buildings and systems. Especially in mild months, small differences in energy consumptions can result in large percentage differences. Solar irradiation data courtesy of Solcast.
Archetypical buildings and systems
10-storey office
3-storey office
Supermarket
5 kW domestic
PV system
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- 1. Choose the energy or peak demand graph to best match your building or system of interest.
- 2. Choose the weather element graph to best match the sensitivity of your building or system of interest.
- 3. Mix and match to learn about their relative importance or sensitivity
ADELAIDE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | -3.7% | N.A. | -3.4% | N.A. | +2.1% |
| Solar PV | |||||
| -3.2% |
The solar PV simulation output was 3.2% lower than the long-term average. The cooling peak load was much lower than the long-term average for the 3-storey office building and 10-storey office building by 29.4% and 29.5% while 1.3% higher for the supermarket. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Adelaide experienced slightly lower daytime temperatures and higher humidity in February compared to the long-term average. GHI was similar to the long-term average, while wind speeds were lower.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.2 | -0.4 | +0.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.8 | +0.6 | -2.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -19.2 | -2.5 | +7.0 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +8.1% | N.A. | +7.9% | N.A. | +14.7% |
| Solar PV | |||||
| -1.5% |
The solar PV simulation output was 1.5% lower than the long-term average. The cooling peak load was much higher than the long-term average for the 3-storey office building, 10-storey office building and supermarket, by 29.8%, 33.2% and 10.8%, respectively. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Brisbane experienced slightly higher temperatures and humidity in February compared to the long-term average. GHI was much lower than the long-term average around midday, while wind speeds were higher than the long-term average in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.2 | +0.5 | +1.0 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.1 | +2.5 | +3.2 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -25.9 | -6.3 | +2.4 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +35.9% | N.A. | +32.3% | -67.9% | +35.7% |
| Solar PV | |||||
| -1.3% |
The solar PV simulation output was 5.2% higher than the long-term average. The cooling peak load was slightly lower than the long-term average for the 3-storey office building and 10-storey office building by 3.1% and 3.8% while 8.8% higher for the supermarket. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Canberra experienced lower daytime humidity and much higher temperatures in February compared to the long-term average. GHI was significantly higher than the long-term average, while wind speeds were similar.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.2 | +1.7 | +2.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -2.3 | +0.8 | +4.4 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -26.1 | +6.1 | +6.1 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +12.4% | N.A. | +11.0% | N.A. | +4.8% |
| Solar PV | |||||
| -8.5% |
The solar PV simulation output was 2.9% lower than the long-term average. The cooling peak load was higher than the long-term average for the 3-storey office, the 10-storey office and the supermarket by 4.9%, 4.7% and 0.4%, respectively. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Darwin experienced similar temperatures and significantly higher humidity in February compared to the long-term average. GHI was similar to the long-term average, while wind speeds were higher for most of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +0.4 | -0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +11.8 | +5.8 | +3.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +9.2 | -1.5 | -10.4 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | -0.3% | N.A. | -0.3% | -13.8% | +7.1% |
| Solar PV | |||||
| +11.3% |
The solar PV simulation output was 7.5% higher than the long-term average. The cooling peak load was lower than the long-term average for the 3-storey office and the 10-storey office, and slightly lower for the supermarket, by 9.7%, 11.7%, and 16.2%, respectively. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Hobart experienced hotter and less humid conditions in February compared to the long-term average. GHI and wind speeds were much higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.1 | +0.2 | +0.8 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -5.8 | -6.5 | -7.4 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +19.8 | +9.3 | -2.8 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | -18.1% | N.A. | -16.3% | +77.9% | -22.3% |
| Solar PV | |||||
| -1.8% |
The solar PV simulation output was 10.6% higher than the long-term average. The cooling peak load was much lower than the long-term average for the 3-storey office and the 10-storey office, and slightly lower for the supermarket, by 34.2%, 36.8%, and 1.4%, respectively. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.
Melbourne experienced lower temperatures and higher humidity in February compared to the long-term average. GHI was similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.4 | -1.2 | -0.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.9 | +3.6 | +7.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -18.2 | +0.0 | +5.6 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +0.2% | N.A. | -0.6% | N.A. | +3.6% |
| Solar PV | |||||
| +9.4% |
The solar PV simulation output was 4.1% higher than the long-term average. The cooling peak load was much lower than the long-term average for the 3-storey office building and 10-storey office building by 19.3% and 20.1% while 6.9% higher for the supermarket. It should be noted that peak load results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke building model using our RTY data.