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
Get the Best out of our Interactive Features
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 |
| -56.6% | +64.9% | -63.3% | +54.0% | -62.1% | +57.0% |
| Solar PV | |||||
| +1.5% |
The solar PV simulation output results were 1.5% higher than the long-term average. The cooling peak load was higher than the long-term average for 3-storey office buildings by 37.3% while 10-storey office buildings and supermarket were lower by 1.8% and 38.9%, 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 a warmer April with similar humidity during the daytime compared to the long-term average. The GHI and the wind speed were similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.8 | +1.9 | +2.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.7 | -1.3 | +0.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +11.8 | -1.2 | +0.6 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +17.5% | N.A. | +15.0% | N.A. | +34.4% |
| Solar PV | |||||
| -9.4% |
The solar PV simulation output was lower than the long-term average by 9.4%. The cooling peak load was higher than the long-term average for supermarket and 10-storey office building, by 13.2% and 2.8% respectively, and lower for 3-storey office building, at 1.5%. 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 April compared to the long-term average. The GHI was slightly lower than the long-term average. The wind speed was also lower than the long-term average for most of the time.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.7 | +1.2 | +0.9 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +8.3 | +6.1 | +4.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -37.6 | -6.8 | +1.0 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -59.3% | +44.9% | -53.0% | +39.2% | -47.9% | +44.6% |
| Solar PV | |||||
| +5.1% |
The solar PV simulation output results were 5.1% higher than the long-term average. The heating peak load was lower than the long-term average for 3-storey office buildings, 10-storey office buildings and supermarket, by 36.2%, 45.9% and 25.5%, 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.
Canberra experienced a warmer April. The humidity was lower than the long-term average during the day but higher at night. The GHI was significantly higher than the long-term average. The wind speed was similar to the long-term average during the day but higher at night.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.9 | +1.3 | +1.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -4.5 | +1.4 | +5.1 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +94.1 | +17.2 | +16.0 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +8.0% | N.A. | +5.5% | N.A. | +5.2% |
| Solar PV | |||||
| -9.2% |
The solar PV simulation output results were 9.2% lower than the long-term average. The cooling peak load was slightly lower than the long-term average for 3-storey and 10-storey office buildings, by 2.2% and 1.5%, respectively, and slightly higher for supermarket, at 2.0%. 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 April with similar temperatures compared to the long-term average. The GHI and the wind speed were lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +0.1 | -0.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +11.1 | +8.2 | +5.2 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +32.9 | -8.0 | -6.5 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -26.8% | +33.2% | -22.1% | +37.2% | -34.8% | +25.3% |
| Solar PV | |||||
| -2.9% |
The solar PV simulation output results were 2.9% lower than the long-term average. The cooling peak load was higher than the long-term average for 3-storey and 10-storey office buildings, by 18.0% and 7.8%, respectively, and lower for supermarket, at 5.2%. 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 slightly warmer and more humid April. The GHI was slightly higher after lunch time. Wind speed was similar to the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.0 | +0.5 | +0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.7 | +2.6 | +0.8 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -0.2 | +4.4 | +2.3 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -63.2% | +56.1% | -64.6% | +50.6% | -44.0% | +150.1% |
| Solar PV | |||||
| +6.5% |
The solar PV simulation output results were 6.5% higher than the long-term average. The cooling peak load was higher than the long-term average for 3-storey, 10-storey office buildings and supermarket, by 38.0%, 34.6% and 66.9% 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.
Melbourne experienced warmer daytime temperatures in April compared to the long-term average. Moisture content remained stable during this month, which led to lower daytime relative humidity than the long-term average. The GHI was much higher than the long-term average in the afternoon.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.9 | +1.9 | +2.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.1 | +0.9 | +2.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -4.5 | +11.6 | +7.4 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +25.9% | +28.9% | +51.2% | +25.4% | -17.6% | +44.5% |
| Solar PV | |||||
| +9.1% |
The solar PV simulation output results were 9.1% higher than the long-term average. The cooling peak load was higher than the long-term average for 3-storey office building, 10-storey office building and supermarket, by 8.4%, 12.7% and 8.2%, 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.