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 |
| -2.8% | +58.9% | +0.3% | +34.7% | -20.2% | +83.4% |
| Solar PV | |||||
| -3.4% |
The solar PV simulation output was 3.4% lower than the long-term average. The heating peak load was higher than the long-term average for 3-storey and 10-storey office buildings, by 10.6% and 15.3%, respectively, and lower for the supermarket, at 16.9%. 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 fewer humid nights in July with temperature similar to the long-term average. The GHI was very close to the long-term average and the wind speed was higher in the early morning and at night.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +0.3 | -0.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.6 | -0.2 | -0.9 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -57.5 | +1.4 | +12.1 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -34.0% | +17.2% | -32.7% | +10.7% | -40.8% | +43.8% |
| Solar PV | |||||
| -0.5% |
The solar PV simulation output was 0.5% lower than the long-term average. The cooling peak load was higher than the long-term average for the 3-storey office building, 10-storey office building, and supermarket, by 4.6%, 5.0%, and 8.6%, 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 a warmer and more humid July than the long-term average. The GHI and wind speed were very close to the average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.1 | +0.8 | +0.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.6 | +1.8 | +0.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +83.3 | -0.8 | -0.1 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -7.8% | +44.5% | -7.9% | +27.6% | -16.7% | N.A. |
| Solar PV | |||||
| -5.7% |
The solar PV simulation output was 5.7% lower than the long-term average. The heating peak load was lower than the long-term average for the 3-storey office building, 10-storey office building, and supermarket, by 13.4%,12.8%, and 0.1%, 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.
Canberra experienced a colder and more humid July than the long-term average. The GHI was similar to the long-term average, while the wind speed was much higher than the average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.9 | +1.0 | +0.6 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.4 | +2.4 | +1.2 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -35.7 | +0.1 | -0.6 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +8.5% | N.A. | +13.4% | N.A. | +16.2% |
| Solar PV | |||||
| -9.5% |
The solar PV simulation output was 9.5% lower than the long-term average. The cooling peak load was lower than the long-term average for the 3-storey office building, 10-storey office building, and supermarket, by 3.9%,5.4%, and 1.3%, 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 a warmer and more humid July compared to the long-term average. Both GHI and wind speed were much lower than the average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.1 | +0.8 | +0.5 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +12.4 | +9.6 | +5.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -26.5 | -7.2 | -8.6 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -5.2% | +10.8% | -5.1% | +6.9% | -4.6% | N.A. |
| Solar PV | |||||
| +7.0% |
The solar PV simulation output was 7.0% higher than the long-term average. The heating peak load was higher than the long-term average for the 3-storey office and 10-storey office, by 7.3% and 5.9%, respectively, while it was 4.7% lower for the supermarket building. 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 a warmer and more humid July compared to the long-term average. The GHI and wind speed were higher than the average during the daytime.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.4 | -0.1 | +0.5 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.2 | +1.5 | -0.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -29.1 | +9.8 | -0.2 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +12.9% | -46.9% | +14.1% | -44.1% | -0.2% | N.A. |
| Solar PV | |||||
| -5.3% |
The solar PV simulation output was 5.3% lower than the long-term average. The heating peak load was higher than the long-term average for the 3-storey office and 10-storey office, by 53.2% and 49.3%, respectively, while it was 7.7% lower for the supermarket building. 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 comparable temperatures and slightly higher humidity in July compared to the long-term average. The GHI was slightly lower than the average in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.0 | -0.2 | +0.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.0 | +2.9 | +4.1 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -52.1 | -3.1 | -0.1 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +55.6% | +19.3% | +58.1% | +4.2% | +13.6% | +98.7% |
| Solar PV | |||||
| +7.0% |
The solar PV simulation output was 7.0% higher than the long-term average. The cooling peak load was higher than the long-term average for the 3-storey office building, 10-storey office building and supermarket, by 18.9%, 49.9%, and 61.1%, 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.