Exemplary Weather and Energy (EWE) Index September 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 (%)

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The solar PV simulation output results were 20.4% higher than the long-term average. Heating energy consumption was 29% and 26.3% lower for the 10-storey office and 3-storey office respectively. Cooling energy consumption was 74%, 61.3% and 98.7% higher for the 10-storey, 3-storey offices and the supermarket, respectively as well.

Adelaide experienced a comparably dry and warmer September compared to the long-term average. The wind speeds tended to be slightly lower throughout the day, while the GHI tended to be slightly higher.

Weather Index

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BRISBANE

Energy Index (%)

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The solar PV simulation output results were 0.8% lower than the long-term average. Heating energy consumption was 42%, 55.8%, and 40.8% lower for the 3-storey office and 10-storey office respectively. When it comes to cooling energy consumption, it was 3% and 3.7% lower for the 10-storey office and 3-storey office respectively and 1.7% higher for the supermarket.

Brisbane experienced a less humid and warmer September compared to the long-term average. The wind speeds and the GHI were lower.

Weather Index

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CANBERRA

Energy Index (%)

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The solar PV simulation output results were 17.4% higher than the long-term average. Cooling energy consumption was 124%, 91.5% and 148.7% higher for the 10-storey office, 3-storey office, and the supermarket, respectively.

Canberra experienced a less humid and warmer September compared to the long-term average. The wind speeds were lower and the GHI was higher than the average.

Weather Index

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DARWIN

Energy Index (%)

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The solar PV simulation output results were 0.4% higher than the long-term average. Cooling energy consumption was 3.1%, 2.4% and 0.8% lower than the long-term average for the 10-storey, 3-storey offices and the supermarket, respectively.

Darwin experienced a slightly less humid and slightly warmer September compared to the long-term average. The wind speeds were mostly faster while the GHI was higher than the long-term average.

Weather Index

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HOBART

Energy Index (%)

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The solar PV simulation output results were 14.7% higher than the long-term average. Heating energy consumption was 37%, 34.9%, and 44.7% lower for the 10-storey office, 3-storey office and the supermarket, respectivly. Cooling energy consumption was 100% and 80.5% higher for the 10-storey and 3-storey offices, respectively.

Hobart experienced a less humid and comparatively warmer September compared to the long-term average. The wind speeds were fasrer and the GHI were higher than the average.

Weather Index

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MELBOURNE

Energy Index (%)

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The solar PV simulation output results were 23.2% higher than the long-term average. Cooling energy consumption was 89% and 61% lower for the 3-storey and 10-storey offices, respectively. Heating energy consumption was 37.7% higher for the supermarket.

Melbourne experienced a comparably less humid and warmer September compared to the long-term average. The GHI was much higher than the average.

Weather Index

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PERTH

Energy Index (%)

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The solar PV simulation output results were 0.3% higher than the long-term average. Heating energy consumption was 86%, 83% and 61.8% lower for the 10-storey office, 3-storey office and the supermarket respectively, while cooling energy consumption was 69.4%, 50.1%, and 149.5% higher for the 10-storey office, 3-storey office, and the supermarket, respectively.

Perth experienced a less humid and warmer September compared to the long-term average. The wind speeds were mostly faster and the GHI was comparably higher.

Weather Index

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SYDNEY

Energy Index (%)

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The counter-intuitive result for Sydney of significantly higher cooling and heating energy consumption seems to be a result of the generally lower and more random day-to-day results in the mild mid-seasons and the slightly lower temperatures at office HVAC start-up time and the higher wind speed; by almost 1 m/s at that time and generally windier for the whole operational day (see graphs Wind speed and Average Hourly Temperature below).

Sydney experienced a relatively more humid and warmer September compared to the long-term average. The wind speeds and the GHI were much higher.

Weather Index

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