As part of the ongoing investigation into our evolving climate, we routinely process and analyse meteorological data from successive years, conducting comparative assessments to reveal emerging trends and patterns.
Our previous temporal analyses only focused on examining variations in various weather elements. However, in this latest iteration, we have incorporated the results of EnergyPlus simulations, specifically targeting HVAC systems and heating and cooling dynamics within buildings. We have also added the results of System Advisor Model (SAM) photovoltaic (PV) system simulations to enhance the comprehensiveness of our investigation.
The most recent temporal analysis was carried out for all eight capital cities, though this issue of Exemplary Advances will focus on the city of Canberra. The findings for Adelaide were previously discussed in the March issue of Exemplary Advances. The analysis for other capital cities can be viewed here.
For the analysis of weather elements, we examined the temporal variations in dry bulb temperature, humidity, wind speed, global horizontal irradiation (GHI), direct normal irradiation (DNI), and total precipitation. The analysis involved averaging these elements over three 15-year periods—1990-2004, 2005-2019, and the latest 15-year period from 2009 to 2023—and then comparing the results. A comparison between data from the latest 15 years, the data corresponding to the years and months specified in Industry Standard Meteorological Year (ISMY) files, and the data exclusively from 2023 was also undertaken. ISMYs were originally developed for application in house energy rating software used in NatHERS and derive from historical Bureau of Meteorology (BOM) weather data spanning from 1990 to 2015. Over time, they have become the industry’s de facto standard. It is therefore important to compare against ISMY data, as it provides a reference to gauge alignment with established benchmarks and understand the significance of temporal variations in weather elements.
Comparing 1990-2004 with 2009-2023 showed an increase in Canberra’s mean temperature of 0.34°C, an increase to moisture of 4.48%, and a significant increase in wind speed of 22.42%. GHI had a small increase of 0.73%, while DNI had a decrease of 2.39%. Meanwhile, comparing 2005-2019 with 2009-2023 showed a decrease in the mean temperature of 0.20°C, an increase to moisture of 2.06%, an increase in wind speed of 0.79%, and a decrease in GHI and DNI of 1.01% and 3.28%, respectively. The decline in mean temperature, GHI, and DNI for 2005-2019 vs 2009-2023 is likely a result of 2020-2022 experiencing comparatively lower annual average dry bulb temperatures, GHI, and DNI when compared to other years.
Total precipitation in 2009-2023 averaged 8.28% higher than in 1990-2004. and 14.72% higher than the 2005-2019 period.
The annual total HVAC energy consumption reveals intriguing patterns across various archetypes. From 1990 to 2023, as well as in the periods of 1990-2004 and 2005-2019, there is a notable upward trend. However, during the period of 2009-2023, a decline in trends is observed. When examining cooling and heating energy consumption separately, for all archetypes, the cooling energy consumption trends are identical to the total HVAC energy consumption. Annual heating energy consumption shows similar trends that 3 storyes’ heating energy consumption is identical with total HVAC energy consumption as well. However 10 storyes’ heating energy consumption has downward from 1990 to 2023, while 1990-2004, 2005-2019, and 2009-2023 periods have identical trends to the total HVAC consumption. Regarding supermarket, only 2005-2019 period has upward trend on heating consumption, while the other periods have downward trends. As a result, we can see that all heating and cooling energy consumptions have downtrends on 2009-2023 but 1990-2023, 1990-2004, and 2005-2019 period has mostly upward trends. This indicates the notable differences in temperature, moisture and precipitation within the recent 2009-2023 period compared to older 15-year periods, and ISMY.