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 |
| +50.3% | -22.8% | +40.2% | -15.8% | +7.7% | -5.4% |
| Solar PV | |||||
| -1.5% |
The solar PV simulation output was 1.5% 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 the supermarket, by 4.2%, 2.4% and 17.0%, 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.
Adelaide experienced higher humidity and similar temperatures in September compared to the long-term average. Both the GHI and wind speed were slightly lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.2 | -0.4 | +0.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +4.3 | +4.9 | +3.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -4.1 | -5.2 | -10.5 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -4.0% | +0.4% | -9.5% | +0.4% | -26.9% | +10.3% |
| Solar PV | |||||
| -3.5% |
The solar PV simulation output was 3.5% 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 7.9%, 5.1% and 19.3%, 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.
Brisbane experienced higher humidity and similar temperatures in September compared to the long-term average. Both the GHI and wind speed were lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.5 | +0.2 | -0.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +7.9 | +4.6 | +1.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -38.1 | -7.4 | +2.5 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +1.2% | -14.7% | +1.6% | -7.5% | +3.4% | -13.1% |
| Solar PV | |||||
| +7.9% |
The solar PV simulation output was 7.9% 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 3.1%, 2.3% and 9.7%, 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 similar temperatures and humidity in September compared to the long-term average. The GHI was much higher and wind speed was slightly higher than the average, particularly in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.7 | +0.1 | +0.6 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.8 | +0.3 | +0.7 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -3.4 | +10.1 | +1.9 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +7.7% | N.A. | +7.1% | N.A. | +7.4% |
| Solar PV | |||||
| -10.0% |
The solar PV simulation output was 2.4% 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 18.0%, 18.1% and 3.0%, 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 slightly warmer and more humid September compared to the long-term average. The GHI was much higher than the average, while wind speed remained similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.0 | +0.8 | +0.8 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +5.9 | +1.9 | +0.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -32.9 | -10.3 | -0.3 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -23.5% | +91.8% | -15.5% | +54.7% | -28.3% | N.A. |
| Solar PV | |||||
| -1.5% |
The solar PV simulation output was 1.5% lower than the long-term average. The heating peak load was higher than the long-term average for the 3-storey office, the 10-storey office and the supermarket by 6.5%, 4.2% and 0.3%, 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.
Hobart experienced a warmer and drier September compared to the long-term average. The GHI was similar to the long-term average, while wind speed was much higher.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.9 | +1.2 | +1.5 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -5.1 | -5.5 | -6.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -9.3 | -0.2 | -3.7 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -15.3% | -30.4% | -12.6% | -25.3% | -18.3% | -42.4% |
| Solar PV | |||||
| -9.5% |
The solar PV simulation output was 9.5% 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 27.0% and 17.3%, respectively, while it was 10.0% 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 similar temperatures and slightly lower humidity in September compared to the long-term average. The GHI was much lower than average, particularly in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.4 | +0.5 | +0.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.5 | -2.1 | -1.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -24.2 | -7.6 | +1.3 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -15.0% | +34.6% | -16.9% | +29.8% | -20.7% | +81.6% |
| Solar PV | |||||
| +6.3% |
The solar PV simulation output was 6.3% 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 35.3%, 36.3% and 35.6%, 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.