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 |
| -61.0% | +40.3% | -69.5% | +35.2% | -63.7% | +38.9% |
| Solar PV | |||||
| -1.7% |
The solar PV simulation output was 1.7% lower than the long-term average. The cooling peak load was much lower than the long-term average for the 3-storey office building and 10-storey office building by 9.2% and 12.4% while 11.7% 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.
Adelaide experienced warmer temperatures and higher humidity after 9:00 a.m. in April compared to the long-term average. GHI was lower than the long-term average, while wind speeds were lower during the daytime but higher during the rest of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +1.6 | +1.6 | +1.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +3.5 | +0.8 | +2.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -16.9 | -5.4 | -1.9 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -58.7% | +18.2% | -53.8% | +16.1% | -81.4% | +21.6% |
| Solar PV | |||||
| -2.7% |
The solar PV simulation output was 2.7% 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 12.8%, 17.1% and 7.0%, 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.
Brisbane experienced slightly higher temperatures compared to the long-term average in April. Relative humidity was slightly higher during the daytime but lower during the rest of the day. GHI was similar to the long-term average, while wind speeds were below average before 11:00 a.m. and higher after 11:00 a.m.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.8 | +0.9 | +1.0 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.8 | -0.1 | -0.4 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +7.1 | +0.7 | -2.2 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| +46.5% | +9.1% | +37.7% | +16.7% | +26.1% | +6.5% |
| Solar PV | |||||
| +16.1% |
The solar PV simulation output was 16.1% higher than the long-term average. The cooling peak load was much higher than the long-term average for the 3-storey office, 10-storey office and supermarket, by 15.3%, 12.1%, and 14.7%, 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 during the daytime, with slightly lower temperatures during the rest of the day in April compared to the long-term average. Relative humidity was lower during the daytime but higher during the rest of the day. GHI was much higher than the long-term average, while wind speeds were similar during the daytime but higher during the rest of the day.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.4 | -0.6 | +0.4 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -3.2 | +1.6 | +3.9 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +68.3 | +25.9 | +14.8 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +8.6% | N.A. | +8.3% | N.A. | +4.6% |
| Solar PV | |||||
| -5.7% |
The solar PV simulation output was 5.7% lower than the long-term average. The cooling peak load was higher than the long-term average for the 3-storey office and the 10-storey office, and slightly lower for the supermarket, by 0.5%, 1.4%, and 1.3%, 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.
Darwin experienced similar temperatures and higher humidity in April compared to the long-term average. GHI was slightly below average, while wind speeds were much lower.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.1 | -0.1 | +0.3 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +5.9 | +7.3 | +6.2 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +50.4 | -3.4 | -2.9 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -10.7% | +46.9% | -6.2% | +40.9% | -20.1% | +33.4% |
| Solar PV | |||||
| +4.0% |
The solar PV simulation output was 4.0% higher than the long-term average. The cooling peak load was significantly higher than the long-term average for the 3-storey office building and 10-storey office building by 27.9% and 30.5% while 2.8% lower 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.
Hobart experienced slightly warmer and more humid conditions in April compared to the long-term average. Both GHI and wind speeds were much higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.4 | +0.4 | +1.0 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -4.5 | -4.9 | -6.3 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +53.2 | +9.5 | -0.6 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -64.8% | +13.1% | -35.7% | +14.7% | -5.8% | +20.2% |
| Solar PV | |||||
| +4.3% |
The solar PV simulation output was 4.3% higher than the long-term average. The cooling peak load was higher than the long-term average for the 3-storey office building and supermarket by 6.8% and 7.4% while 0.1% lower for the 10-storey office 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 higher temperatures in April compared to the long-term average, while humidity was similar during the daytime but slightly higher for the rest of the day. GHI was also much higher than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.4 | +0.6 | +1.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -1.0 | +2.0 | +3.6 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +13.3 | +7.8 | +7.7 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | -7.3% | N.A. | -4.9% | +44.1% | -2.5% |
| Solar PV | |||||
| -2.4% |
The solar PV simulation output was 2.4% lower than the long-term average. The cooling peak load was much lower than the long-term average for the 3-storey office building and 10-storey office building by 16.8% and 20.4% while 1.5% 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.