
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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This monthly report has been interactive since April 2023. Once you have scrolled to your city of interest, check out those interactive features and how they work. Click here to read about the introduction.
- 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 |
| -27.5% | -16.4% | -21.3% | -2.3% | -24.6% | -24.5% |
| Solar PV | |||||
| -3.4% |
The solar PV simulation output was 3.4% 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 29.2%, 24.0% and 17.7%, 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.
Adelaide experienced more humidity during daytime in August with temperature similar to the long-term average. The GHI was slightly lower than 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 |
| +0.1 | +0.2 | -0.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +7.4 | +1.5 | +0.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -54.2 | -3.1 | -7.8 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -44.4% | +8.1% | -42.1% | +5.2% | -44.4% | +29.7% |
| Solar PV | |||||
| -11.5% |
The solar PV simulation output was 11.5% 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 30.4%, 33.8%, and 21.4%, 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.
Brisbane experienced more humidity during August than the long-term average. The temperature was higher overnight but close to the long-term average during the daytime. The GHI was lower than the long-term average. The wind speed was lower during the daytime but higher overnight.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.2 | +0.8 | -0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +13 | +7.4 | +4.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -48.4 | -7.5 | +0.5 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -7.2% | -23.7% | -6.0% | -14.7% | -1.3% | +21.3% |
| Solar PV | |||||
| -2.3% |
The solar PV simulation output was 2.3% lower than the long-term average. The heating peak load was higher than the long-term average for the 3-storey office building, 10-storey office building, and supermarket, by 2.1%, 3.9% 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 more humid August with temperature similar to the long-term average. The GHI was similar to the long-term average, while the wind speed was lower than the average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.3 | -0.1 | +0.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +5.5 | +7.0 | +5.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +185.5 | +1.1 | +3.6 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +9.7% | N.A. | +9.9% | N.A. | +3.4% |
| Solar PV | |||||
| -2.4% |
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 7.5%, 8.5%, and 0.8%, 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.
Darwin experienced slightly warmer afternoons in August with humidity similar to the long-term average. The GHI was slightly higher than the average but the wind speed was much lower.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.3 | +0.2 | +0.8 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +0.6 | +2.2 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -0.3 | +0.9 | -1.8 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -13.4% | +33.6% | -14.4% | +35.0% | -1.3% | N.A. |
| Solar PV | |||||
| +3.0% |
The solar PV simulation output was 3.0% higher 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 5.5%, 4.6% and 1.5%, 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 slightly warmer afternoons and evenings in August with less humidity during the daytime. The GHI was slightly higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.3 | +0.2 | +0.8 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.8 | -0.1 | -0.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +9.4 | +3.7 | -5.7 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +7.3% | +36.3% | +1.6% | +31.7% | +8.0% | N.A. |
| Solar PV | |||||
| +7.1% |
The solar PV simulation output was 7.1% 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 20.4% and 22.1%, respectively, while it was 3.3% 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 slightly warmer temperatures and more humidity in August compared to the long-term average. The GHI was slightly lower than the average in the morning but slightly higher in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.7 | 0.0 | +1.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.0 | +6.7 | +10.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -41.1 | -0.2 | -10.6 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +33.9% | +13.3% | +32.5% | +6.9% | -17.0% | +97.4% |
| Solar PV | |||||
| -5.8% |
The solar PV simulation output was 5.8% 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 28.9%, 43.7%, and 78.6%, 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.
