Exemplary Weather and Energy (EWE) Index May 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. 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 (%)

WordPress Data Table Plugin

The solar PV simulation output results were 28.1% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (7.7%, 15.8% and 21.7% 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.

Adelaide experienced a less humid of normal temperatures May compared to the long-term average. The GHI and wind speed were comparably similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


BRISBANE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 14.4% lower than the long-term average. The cooling peak load was 19.9%, 22.2% lower for the 3-storey office and 10 storey office while 3.3% higher for 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 comparably warmer and very humid May than the long-term average. The GHI and wind speed were lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


CANBERRA

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 5.3% lower than the long-term average. The heating peak load was higher than the long-term average for all archetypes (42.2%, 69.0% and 9.6% 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.

Canberra experienced a more humid and slightly cooler May compared to the long-term average. The GHI and wind speed were higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


DARWIN

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 2.4% lower than the long-term average. The cooling peak load was 5.6%, and 4.5% lower for the 3-storey office and 10 storey office while 1.5% higher for 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.

Darwin experienced a slightly warmer and less humid May than the long-term average. The GHI and wind speed were slightly higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


HOBART

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 10.2% lower than the long-term average. The heating peak load was 12.7%, and 12.3% higher for the 3-storey office and 10 storey office while 6.1% lower for 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.

Hobart experienced a slightly more humid of normal temperatures May compared to the long-term average. The GHI and wind speed were similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


MELBOURNE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 12.8% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (33.1%, 55.3% and 86.6% 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 a more humid and slightly cooler May compared to the long-term average. The GHI was higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


PERTH

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 0.8% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (48.1%, 50.7% and 41.8% 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 less humid and warmer May compared to the long-term average. The GHI and wind speed were much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


SYDNEY

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 17.0% lower than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (18.5%, 21.5% and 17.9% 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 of normal temperatures May compared to the long-term average. The GHI was lower while wind speed was similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin

Exemplary Weather and Energy (EWE) Index April 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. 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 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 (%)

WordPress Data Table Plugin

The solar PV simulation output results were 3.7% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (32.1%, 27.6% and 37.4% 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.

Adelaide experienced a more humid and cool April compared to the long-term average. The GHI and wind speed were comparably similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


BRISBANE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 10.2% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (11.5%, 16.9% and 34.4% 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 comparably warmer and more humid April than the long-term average. The GHI and wind speed were lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


CANBERRA

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 2.5% higher than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (62.6%, 31.1% and 30.1% 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.

Canberra experienced a more humid and cool April compared to the long-term average. The GHI and wind speed were higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


DARWIN

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 4.2% lower than the long-term average. The cooling peak load was 5.4%, 2% lower for the 3-storey office and 10 storey office while 0.8% higher for 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.

Darwin experienced a slightly warmer and less humid April than the long-term average. The GHI and wind speed were lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


HOBART

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 4.3% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (19.4% for 3-storey office and 35.3% for 10-storey office 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.

Hobart experienced a comparably less humid and warmer April compared to the long-term average. The GHI and wind speed were similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


MELBOURNE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 10.6% lower than the long-term average. All archetypes saw a n increase in cooling peak load. The cooling peak load was 34.4% and 45.7% for the 3-storey office and 10-storey office, 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 a more humid and cooler April compared to the long-term average. The GHI was higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


PERTH

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 10.6% higher than the long-term average. The cooling peak load was 3.0%, 4.5% lower for the 3-storey office and 10-storey office while 25.0% higher for the supermarket. 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 less humid and slightly cooler April compared to the long-term average. The GHI and wind speed were much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


SYDNEY

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 8.3% lower than the long-term average. The cooling peak load was 2.2%, 6.5% higher for the 3-storey office and 10-storey office while 4.3% lower for the supermarket. 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 of normal temperatures April compared to the long-term average. The GHI was lower while wind speed was similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin

Exemplary Weather and Energy (EWE) Index March 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 scrolled to 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 (%)

WordPress Data Table Plugin

The solar PV simulation output results were 6.3% higher than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (19.3%, 23.5% and 15.7% 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 model using our RTY data.

Adelaide experienced a less humid and warmer March compared to the long-term average. The GHI was much higher while average wind speed was lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


BRISBANE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 26.2% lower than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (13.1%, 15.6% and 4.0% 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 model using our RTY data.

Brisbane experienced comparably warmer and more humid March than the long-term average. The GHI and wind speed were much lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


CANBERRA

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 5.6% higher than the long-term average. The cooling peak load was 19.3% lower for 3-storey office while 2.7% higher for the supermarket. 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 model using our RTY data.

Canberra experienced a more humid and warmer March compared to the long-term average. The GHI and wind speed were much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


DARWIN

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 16.5% lower than the long-term average. The cooling peak load was 2.1%, 2.6% lower for the 3-storey office and 10 storey office while 1.8% higher for 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 model using our RTY data.

Darwin experienced a slightly warmer and humid March than the long-term average. The GHI and wind speed were lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


HOBART

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 7.3% higher than the long-term average. The cooling peak load was higher than the long-term average for all archetypes (4.2% for 3-storey office and 0.3% for 10-storey office 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 model using our RTY data.

Hobart experienced a less humid and warmer March compared to the long-term average. The GHI and wind speed was much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


MELBOURNE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 12.6% higher than the long-term average. All archetypes saw a n increase in cooling peak load. The cooling peak load was 2.3%, 6.5%, and 2.9% higher for the 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 model using our RTY data.

Melbourne experienced a more humid and cooler March compared to the long-term average. The GHI was much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


PERTH

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 8.6% higher than the long-term average. The cooling peak load was 28.5%, 28.4% lower for the 3-storey office and 10-storey office while 7.6% higher for the supermarket. 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 model using our RTY data.

Perth experienced a comparably humid and cool March compared to the long-term average. The GHI and wind speed were much higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


SYDNEY

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 7.0% higher than the long-term average. The cooling peak load was 9.9%, 7.0% lower for the 3-storey office and 10-storey office while 1.4% higher for the supermarket. 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 model using our RTY data.

Sydney experienced a more humid March compared to the long-term average. The GHI was much higher while wind speed was lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin

Exemplary Weather and Energy (EWE) Index February 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 scrolled to 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 (%)

WordPress Data Table Plugin

The solar PV simulation output results were 6.4% higher than the long-term average. The cooling peak load was lower than the long-term average for all archetypes (28.8%, 31.2% and 11.1% 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 model using our RTY data.

Adelaide experienced a comparably humid and cool February compared to the long-term average. The GHI was much higher while average wind speed was lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


BRISBANE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 4.8% lower than the long-term average. The cooling peak load was 36.5%, 35.2% and 10.8% higher for the 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 model using our RTY data.

Brisbane experienced an overall warmer and more humid February than the long-term average. The GHI and wind speed were much lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


CANBERRA

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 1.1% higher than the long-term average. The cooling peak load was 12.7% lower for 3-storey office while 21.8% and 4.2% higher for the 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 model using our RTY data.

Canberra experienced a more humid February compared to the long-term average. The GHI was much higher while wind speed was lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


DARWIN

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 6.7% higher than the long-term average. The cooling peak load was 7.5%, 7.3% and 2.2% higher for the 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 model using our RTY data.

Darwin experienced a slightly warmer and humid February than the long-term average. The GHI and wind speed were higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


HOBART

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 19.3% higher than the long-term average. The cooling peak load was 58.6%, 61.4% and 30.2% higher for the 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 model using our RTY data.

Hobart experienced a less humid and warmer February compared to the long-term average. The GHI was much higher and wind speed was slightly higher than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


MELBOURNE

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 9.9% higher than the long-term average. All archetypes saw a decrease in cooling peak load. The cooling peak load was 0.8%, 2.9%, and 21.6% lower for the 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 model using our RTY data.

Melbourne experienced a comparably humid and cooler February compared to the long-term average. The GHI was much higher than the long-term average while wind speed was lower.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


PERTH

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 15.5% lower than the long-term average. The cooling peak load was 3.0%, 4.5% higher for the 3-storey office and supermarket while 16.3% lower for the 10-sotrey office. 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 model using our RTY data.

Perth experienced a less humid and hotter February compared to the long-term average. The GHI and wind speed were comparably similar to the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin


SYDNEY

Energy Index (%)

WordPress Data Table Plugin

The solar PV simulation output results were 10.1% lower than the long-term average. The cooling peak load was 1.9% higher for the 3-storey office, while 21.2% and 9.5% lower for the10-storey office and supermarket. 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 model using our RTY data.

Sydney experienced a more humid February compared to the long-term average. The GHI and wind speed were lower than the long-term average.

Weather Index

WordPress Data Table Plugin
WordPress Data Table Plugin
WordPress Data Table Plugin