Exemplary Weather and Energy (EWE) Index January 2025

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

Get the Best out of our Interactive Features

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 (%)

The solar PV simulation output results were 3.5% higher than the long-term average. The cooling peak load was lower than the long-term average for 3-storey office buildings, 10-storey office buildings and supermarket, by 14.2%, 12.4 and 4.3%, 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.

Adelaide experienced a slightly warmer January with similar humidity compared to the long-term average. The GHI was higher while wind speed was similar to the long-term average.

Weather Index



BRISBANE

Energy Index (%)

The solar PV simulation output was lower than the long-term average by 2.5%. The cooling peak load was higher than the long-term average for all archetypes (14.5%, 23.3% and 3% 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 more humid January with similar temperature compared to the long-term average. The GHI was lower at lunch time and wind speed was significantly lower than the long-term average.

Weather Index



CANBERRA

Energy Index (%)

The solar PV simulation output results were 2.3% lower than the long-term average. The cooling peak load was significantly higher than the long-term average for 3-storey office and 10-storey office buildings, by 20.2% and 63.6%, respectively, and slightly higher for supermarket, at 7.3%. 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 more humidity in January compared to the long-term average. The drybulb temperature was similar to the long-term average but lower in the evening. The GHI was much higher while wind speed was similar to the long-term average.

Weather Index



DARWIN

Energy Index (%)

The solar PV simulation output results were 6.7% higher than the long-term average. The cooling peak load was slightly lower than the long-term average for -storey office and 10-storey office buildings by 2.0% and 2.8%, but slightly higher for supermarkets at 2.5%. 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 slightly more humid and warmer temperatures in January compared to the long-term average. The GHI was slightly higher while wind speed was lower than the long-term average.

Weather Index



HOBART

Energy Index (%)

The solar PV simulation output results were 0.8% higher than the long-term average. The cooling peak load was significantly lower than the long-term average for 3- and 10-storey office buildings, by 41.4% and 44.1%, respectively, while higher for supermarkets, at 8.5%. 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 temperatures and a similar humidity in January compared to the long-term average. The GHI and the wind speed was similar to the long-term average.

Weather Index



MELBOURNE

Energy Index (%)

The solar PV simulation output results were 5.7% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (23%, 22.9% and 5.2% 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.

Melbourne experienced similar humidity and temperatures in January compared to the long-term average. The GHI was significantly higher than the long-term average.

Weather Index



PERTH

Energy Index (%)

The solar PV simulation output results were 1.5% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (22.6%, 22.3% and 14.8% 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.

Perth experienced a warmer January with similar humidity compared to the long-term average. The wind speed was higher than the long-term average. The GHI was slightly lower in the morning but slightly higher in the afternoon.

Weather Index



SYDNEY

Energy Index (%)

The solar PV simulation output results were 14.7% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (39.2%, 43.7% and 13.1% 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.

Sydney experienced a more humid January with similar temperature compared to the long-term average. The GHI was significantly lower and wind speed was higher than the long-term average.

Weather Index



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