** For Adelaide, the higher than normal Heating energy is a result of the first week being unusually cold at the start of the day (warm up energy) while the higher Cooling energy stems from the warmer temperatures and higher humidity for the rest of the month.
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 |
| -73.6% | +28.5% | -72.3% | +25.9% | -36.1% | +56.6% |
| Solar PV | |||||
| +4.8% |
The solar PV simulation output results were 4.8% higher than the long-term average. The heating peak load was significantly lower than the long-term average for all archetypes (60%, 64.4% and 24.0% 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.
Adelaide experienced a slightly more humid and warmer October compared to the long-term average. The GHI was much higher while wind speed was lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.9 | +1.5 | +2.6 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.5 | +1.7 | +2.1 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +21.8 | +9.5 | +3.3 |
BRISBANE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -46.2% | +20.7% | -66.7% | +20.3% | -66.2% | +35.5% |
| Solar PV | |||||
| -9.4% |
The solar PV simulation output results were 9.4% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (40.3%, 40.7% and 4.9% 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 much drier and slightly warmer October 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 |
| +1.9 | +1.0 | +0.9 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +10.0 | +7.4 | +4.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| +14.1 | -7.9 | +2.3 |
CANBERRA
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -31.3% | +28.8% | -30.1% | +28.0% | -7.0% | +21.5% |
| Solar PV | |||||
| -1.4% |
The solar PV simulation output results were 1.4% lower than the long-term average. The cooling peak load was 16.0%, 22.3% and 34.4% lower for the 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.
Canberra experienced a less humid and warmer October compared to the long-term average. The GHI was similar and wind speed was lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| -0.6 | +0.5 | +2.0 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -5.7 | -0.7 | +5.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -2.5 | +1.2 | -1.2 |
DARWIN
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| N.A. | +4.4% | N.A. | +7.7% | N.A. | +4.6% |
| Solar PV | |||||
| -6.3% |
The solar PV simulation output results were 6.3% lower than the long-term average. The cooling peak load was 1.3%, 1.42% lower for the 3-storey office and 10-storey office while 3.0% higher for the 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 similar humidity and temperatures in October compared to the long-term average. The GHI was lower and wind speed was slightly lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.8 | +0.8 | +0.9 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +2.2 | -0.7 | -3.5 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -59.9 | -7.4 | -0.4 |
HOBART
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -63.7% | +44.9% | -60.0% | +37.7% | -14.8% | +28.3% |
| Solar PV | |||||
| +6.1% |
The solar PV simulation output results were 6.1% higher than the long-term average. The heating peak load was lower than the long-term average for all archetypes (15.5%, 9.6% and 40.4% 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.
Hobart experienced similar temperature and drier October 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 |
| -0.3 | -0.1 | +0.7 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| -3.7 | -1.9 | -1.0 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -48.7 | +6.3 | -3.8 |
MELBOURNE
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -54.3% | +23.9% | -51.1% | +20.1% | +31.2% | -56.0% |
| Solar PV | |||||
| +8.6% |
The solar PV simulation output results were 8.6% higher than the long-term average. The cooling peak load was 2.4% and 5.2% higher for 3-storey and 10-storey office while 33.6% 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.
Melbourne experienced similar humidity and temperatures in October compared to the long-term average. The GHI was lower than the long-term average.
Weather Index
| Temperature (°C) | ||
| Mean Min | Mean Avg | Mean Max |
| +0.6 | +0.5 | +0.2 |
| Relative Humidity (%pt) | ||
| Mean Min | Mean Avg | Mean Max |
| +8.0 | +4.6 | +4.4 |
| Daily Solar Irradiation (GHI %) | ||
| Cloudiest | Mean | Sunniest |
| -23.2 | +12.7 | +0.5 |
PERTH
Energy Index (%)
| 10-storey | 3-storey | Supermarket | |||
| Heating | Cooling | Heating | Cooling | Heating | Cooling |
| -67.7% | +45.7% | -66.7% | +40.5% | -62.2% | +90.2% |
| Solar PV | |||||
| +5.0% |
The solar PV simulation output results were5.0% higher than the long-term average. Compared to the long-term average, the cooling peak load was 27.8%, 36.7 % and 29.1% higher for 3-storey office, 10-storey office and 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.