Exemplary Weather and Energy (EWE) Index January 2024

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 (%)

The solar PV simulation output results were 0.3% higher than the long-term average. The cooling peak load was 8.6% higher for both 3-storey office and 10-storey office while 6.9% lower for supermarket. 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 cool January compared to the long-term average. The GHI was slightly higher while wind speeds was lower than the long-term average.

Weather Index



BRISBANE

Energy Index (%)

The solar PV simulation output results were 15.7% lower than the long-term average. The cooling peak load was 20.3%, 24.2% and 3.6% higher for the 3-storey office, 10-storey office and supermarket, respectively. 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 and humid January than the long-term average. The GHI and wind speeds were much lower than the long-term average.

Weather Index



CANBERRA

Energy Index (%)

The solar PV simulation output results were 10.4% lower than the long-term average. The cooling peak load was 7.6% lower for 3-storey office while 29.5% and 2.2% higher for the 10-storey office and supermarket, respectively. 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 January 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 11.5% lower than the long-term average. The cooling peak load was 0.7%, and 2.8% higher for the 3-storey office and supermarket. 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 slightly warmer and humid January than the long-term average. The GHI was much lower while wind speed was higher than the long-term average.

Weather Index



HOBART

Energy Index (%)

The solar PV simulation output results were 1.5% higher than the long-term average. The cooling peak load was 38.9%, 39.3% and 17.7% lower for the 3-storey office, 10-storey office and supermarket, respectively. 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 less humid and warmer January compared to the long-term average. The GHI was slightly higher than the long-term average, while the wind speed was higher.

Weather Index



MELBOURNE

Energy Index (%)

The solar PV simulation output results were 1.3% lower than the long-term average.All archetypes saw a decrease in cooling peak load. The cooling peak load was 25.4%, 25.8%, and 22.8% lower for the 3-storey office, 10-storey office and supermarket, respectively. 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 January compared to the long-term average. The GHI was lower than the long-term average.

Weather Index



PERTH

Energy Index (%)

The solar PV simulation output results were 5.8% higher than the long-term average. All archetypes saw an increase in cooling peak load. The cooling peak load was 26.5%, 26.0%, and 9.8% higher for the 3-storey office, 10-storey office and supermarket, respectively. The heating peak load was 90.8% lower for the supermarket. 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 January compared to the long-term average. The GHI was higher while wind speed was higher than the long-term average.

Weather Index



SYDNEY

Energy Index (%)

The solar PV simulation output results were 7.7% lower than the long-term average. All archetypes saw an increase in cooling energy demand. The cooling peak load was 39.7%, 45.2%, and 19.9% higher for the 3-storey office, 10-storey office and supermarket, respectively. 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 January compared to the long-term average. The GHI was lower while wind speed was higher than the long-term average.

Weather Index



Leave a Reply