Exemplary Weather and Energy (EWE) Index December 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

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 chosen your city of interest, check out those interactive features and how they work.  Click here to read about their 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 (%)

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The solar PV simulation output results were 9.2% lower than the long-term average. The cooling peak load was 44%, 46% and 9% 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.

Adelaide experienced a more humid and cooler December compared to the long-term average. The GHI and wind speeds were lower than the long-term average.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


BRISBANE

Energy Index (%)

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The solar PV simulation output results were 4.1% higher than the long-term average. The cooling peak load was 34.1%, 30.3% and 12.7% higher 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.

Brisbane experienced an overall warmer December, with humidity levels comparable to the long-term average. The GHI and wind speeds were higher than the long-term average.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


CANBERRA

Energy Index (%)

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The solar PV simulation output results were 6.1% lower than the long-term average. All archetypes saw an increase in cooling peak loads and a significant decrease in heating peak loads. The heating loads were 43%, 27% and 49% 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 December compared to the long-term average. The GHI and wind speeds were lower than the long-term average.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


DARWIN

Energy Index (%)

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The solar PV simulation output results were 5.1% higher than the long-term average. The cooling peak load was 1.3%, 1.8% and 0.9% higher 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.

Darwin experienced a warmer and more humid December than the long-term average. The GHI was higher than the long-term average, while the wind speeds were lower.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


HOBART

Energy Index (%)

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The solar PV simulation output results were 3.3% higher than the long-term average. The supermarket saw an increase in cooling peak load of 29%, while the 3-storey office and 10-storey office saw a decrease of 30% and 32%, 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 warmer December compared to the long-term average. The GHI was higher than the long-term average, while the wind speeds were lower.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


MELBOURNE

Energy Index (%)

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The solar PV simulation output results were 5.6% lower than the long-term average. The cooling peak load was 40%, 39%, and 26% lower for the 3-storey office, 10-storey office and supermarket, respectively. The 3-storey office saw a decrease in heating peak load of 32%, while the 10-storey office and supermarket saw an increase of 3% and 16%, respectively. While peak heating and increase 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 December compared to the long-term average. The GHI was lower than the long-term average.

Weather Index

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WordPress Data Table Plugin
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PERTH

Energy Index (%)

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The solar PV simulation output results were 4.9% higher than the long-term average. All archetypes saw a decrease in cooling and heating energy demand. The heating peak load was 100%, 100%, and 97% 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 December compared to the long-term average. The GHI and wind speeds were higher than the long-term average.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin


SYDNEY

Energy Index (%)

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The solar PV simulation output results were 9.7% higher than the long-term average. All archetypes saw an increase in cooling energy demand. The cooling peak load was 56%, 66%, and 25% higher for the 3-storey office, 10-storey office and supermarket, respectively. While peak cooling demand generally trended in the upward direction, 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 December compared to the long-term average. The GHI was higher than the long-term average, while the wind speeds were lower.

Weather Index

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WordPress Data Table Plugin
WordPress Data Table Plugin

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