
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. | -35.9% | N.A. | +5.6% | -80.2% | +29.1% |
| Solar PV | |||||
| +7.5% |
The solar PV simulation output results were 7.5% higher than the long-term average. The cooling peak load was slightly lower than the long-term average for 3-storey office buildings and supermarket, by 2.2% and 0.5%, respectively, and significantly lower for 10-storey office buildings, at 46.1%. 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 a more humid and warmer December compared to the long-term average. The GHI was much higher while wind speed was similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.1 | +0.7 | +1.1 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.4 | +3.7 | +2.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +29.7 | +8.9 | +1.5 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +19.1% | N.A. | +17.5% | N.A. | +35.0% |
| Solar PV | |||||
| -5.7% |
The solar PV simulation output was lower than the long-term average by 5.7%. The cooling peak load was higher than the long-term average for all archetypes (27.0%, 25.8% and 13.4% for 3-storey office, 10-storey office and supermarket 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 more humid and slightly warmer December compared to the long-term average. The GHI was much lower and wind speed was slightly lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.7 | +1.2 | +0.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +13.2 | +10.2 | +6.4 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +28.6 | -5.9 | +0.5 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +37.0% | N.A. | +61.7% | -71.1% | +52.0% |
| Solar PV | |||||
| +10.4% |
The solar PV simulation output results were 10.4% higher than the long-term average. The cooling peak load was significantly higher than the long-term average for 10-storey office buildings and supermarket, by 66.4% and 25.2%, respectively, and slightly higher for 3-storey office buildings, at 3.4%. 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 less humidity with warmer temperatures in December compared to the long-term average. The GHI was much higher while wind speed was similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.2 | +1.0 | +0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +6.7 | +6.4 | +6.9 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +18.1 | -7.0 | +0.8 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +6.6% | N.A. | +0.7% | N.A. | +1.3% |
| Solar PV | |||||
| -1.2% |
The solar PV simulation output results were 1.2% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (1.1%, 0.7% and 0.8% for 3-storey office, 10-storey office and supermarket 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 more humid and warmer temperatures in December compared to the long-term average. The GHI was higher while wind speed was lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.7 | +0.5 | +0.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.7 | +2.0 | -0.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +61.0 | +6.6 | +0.4 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +26.0% | N.A. | +23.5% | -49.9% | +9.4% |
| Solar PV | |||||
| -7.3% |
The solar PV simulation output results were 7.3% lower than the long-term average. The cooling peak load was lower than the long-term average for 3- and 10-storey office buildings, by 9.6% and 11.3%, respectively, while significantly higher for supermarkets, at 113.4% (Due to low cooling peak in RMY-B). 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 warmer temperatures and a similar humidity in December compared to the long-term average. The GHI was significantly lower in the morning and wind speed was similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.9 | +1.2 | +1.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.3 | +0.2 | +2.1 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -2.9 | -6.5 | +1.1 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +3.3% | N.A. | +1.6% | +89.6% | -27.5% |
| Solar PV | |||||
| +12.6% |
The solar PV simulation output results were 12.6% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (16.7%, 16.2% and 13.2% for 3-storey office, 10-storey office and supermarket 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 similar humidity and slightly warmer temperatures in December compared to the long-term average. The GHI was significantly higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.7 | +0.9 | +1.0 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.1 | +1.2 | +2.1 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +155.5 | +11.7 | -0.8 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +29.5% | N.A. | +27.3% | -92.2% | +30.3% |
| Solar PV | |||||
| +0.0% |
The solar PV simulation output results were the same as the long-term average. Compared to the long-term average, the cooling peak load was significantly higher than the long-term average for 3 and 10-storey office buildings, by 43.9% and 46.3%, respectively, and slightly higher for supermarkets, at 7.9%. 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.
