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. | +37.8% | N.A. | +39.0% | N.A. | +22.3% |
| Solar PV | |||||
| +4.5% |
The solar PV simulation output was 5.2% 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 21.3%, 47.7% and 10.9%, 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 much higher temperatures and lower humidity in January compared to the long-term average. The GHI was much higher than the long-term average and wind speeds were generally similar.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +1.6 | +3.5 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.0 | -1.7 | +1.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +62.9 | +7.5 | +0.5 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +8.8% | N.A. | +8.7% | N.A. | +15.0% |
| Solar PV | |||||
| -5.9% |
The solar PV simulation output was 5.9% 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 8.2%, 10.5% and 3.3%, 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 slightly higher temperatures and similar humidity in January compared to the long-term average. The GHI was much lower than the long-term average around midday. Wind speeds were lower than the long-term average for most of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.1 | +0.8 | +1.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.1 | -0.5 | -1.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +11.7 | -5.8 | -0.4 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +18.2% | N.A. | +19.0% | +21.9% | +15.3% |
| Solar PV | |||||
| +5.2% |
The solar PV simulation output was 5.2% 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 14.4%, 12.4% and 9.8%, 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.
Canberra experienced lower humidity and higher temperatures in January compared to the long-term average. Both GHI and wind speeds were significantly higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.1 | +0.8 | +2.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.2 | +0.0 | +1.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +143.8 | +7.1 | -0.8 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +4.4% | N.A. | +3.6% | N.A. | +4.1% |
| Solar PV | |||||
| -2.9% |
The solar PV simulation output was 2.9% lower 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 1.6% and 2.1% while 0.9% 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.
Darwin experienced a more humid January with temperatures similar to the long-term average. GHI was lower than the long-term average, while wind speeds were higher than the long-term average for most of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.1 | +0.3 | +0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +7.3 | +7.1 | +5.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -35.8 | -8.9 | +0.2 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +3.0% | N.A. | +5.0% | -36.7% | +1.8% |
| Solar PV | |||||
| +7.5% |
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, the 10-storey office and the supermarket by 54.9%, 58.3% and 16.1%, 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.
Hobart experienced a more humid and hotter January compared to the long-term average. GHI and wind speeds were similar to the long-term average for most of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.0 | +0.5 | -0.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.3 | +1.6 | -1.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +15.0 | -1.5 | -4.7 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +16.1% | N.A. | +17.5% | -19.0% | +11.7% |
| Solar PV | |||||
| +10.6% |
The solar PV simulation output was 10.6% higher 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 25.1%, 24.5% 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.
Melbourne experienced higher temperatures and humidity in January compared to the long-term average. GHI was significantly higher than the long-term average during the daytime.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.0 | +0.4 | +0.9 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.0 | +3.2 | +2.7 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +59.0 | +9.9 | +2.2 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +11.4% | N.A. | +9.9% | N.A. | +9.7% |
| Solar PV | |||||
| +4.1% |
The solar PV simulation output was 4.1% higher 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 20.8%, 22.8% and 3.3%, 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.