Exemplary Weather and Energy (EWE) Index November 2023

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 to 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. Solar irradiation data courtesy of Solcast.

Archetypical buildings and systems

3-storey office

10-storey office

Supermarket

5kW domestic PV system

ADELAIDE

Energy Index (%)

The solar PV simulation output results were 3.3% higher than the long-term average. All archetypes saw a higher than average heating energy demand. The 3-storey office and 10-storey office experienced cooling energy demand 52% and 55% lower than average, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Adelaide experienced a more humid and colder November compared to the long-term average. The GHI was higher than the long-term average, while the wind speeds were lower.

Weather Index



BRISBANE

Energy Index (%)

The solar PV simulation output results were 12.5% lower than the long-term average. The cooling energy loads were 13.8% and 14.9% lower for the 3-storey office and 10-storey office, respectively, and 13.8% higher for the supermarket. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Brisbane experienced an overall cooler November, with humidity levels comparable to the long-term average. The GHI and wind speeds were lower than the long-term average.

Weather Index



CANBERRA

Energy Index (%)

The solar PV simulation output results were 6.2% lower than the long-term average. All archetypes saw an increase in cooling energy loads and a significant decrease in heating energy loads. The heating loads were 61%, 71%, and 52% lower for the 3-storey office, 10-storey office, and supermarket, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Canberra experienced a more humid and hotter November compared to the long-term average. The GHI and wind speeds were lower than the long-term average.

Weather Index



DARWIN

Energy Index (%)

The solar PV simulation output results were 0.8% lower than the long-term average. The cooling energy loads were 4.9% and 5.1% lower for the 3-storey office and 10-storey office, respectively, and 1.6% higher for the supermarket. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Darwin experienced a warmer November, with humidity levels comparable to the long-term average. The GHI was slightly higher than the long-term average, while the wind speeds were lower.

Weather Index



HOBART

Energy Index (%)

The solar PV simulation output results were 3.9% higher than the long-term average. The supermarket saw an increase in cooling energy loads of 96%, while the 3-storey office and 10-storey office saw an increased heating load of 25% and 34%, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Hobart experienced a more humid and generally warmer November compared to the long-term average. The GHI was higher than the long-term average, while the wind speeds were lower.

Weather Index



MELBOURNE

Energy Index (%)

The solar PV simulation output results were 6.8% higher than the long-term average. The cooling energy loads were 21%, 25%, and 7% lower for the 3-storey office, 10-storey office, and supermarket, respectively. The 3-storey and 10-storey offices saw a decrease in heating energy of 16% and 11%, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Melbourne experienced a more humid and overall colder November compared to the long-term average. The GHI and wind speeds were higher than the long-term average.

Weather Index



PERTH

Energy Index (%)

The solar PV simulation output results were 3% higher than the long-term average. All archetypes saw an increase in cooling energy loads and a significant decrease in heating energy. The heating peak loads were 100%, 97%, and 82% lower for the 3-storey office, 10-storey office, and supermarket, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Perth experienced a less humid and hotter November compared to the long-term average. The GHI and wind speeds were higher than the long-term average.

Weather Index



SYDNEY

Energy Index (%)

The solar PV simulation output results were 1.2% higher than the long-term average. All archetypes saw a decrease in both heating and cooling energy loads. The heating peak loads were 77%, 64%, and 79% lower for the 3-storey office, 10-storey office, and supermarket, respectively. While peak heating and cooling demand generally trended in the same directions, it should be noted that those results are highly sensitive to the particular building and HVAC design and settings – it is more appropriate to evaluate those results from a bespoke model using our RTY data.

Sydney experienced a more humid and hotter November compared to the long-term average. The GHI and wind speeds were comparable to the long-term average.

Weather Index



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