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Long-Term Prediction of Weather for Analysis of Residential Building Energy Consumption in Australia

Author

Listed:
  • Shu Chen

    (School of Electrical and Mechanical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)

  • Zhengen Ren

    (CSIRO Energy, Private Bag 10, Clayton South, Melbourne, VIC 3169, Australia)

  • Zhi Tang

    (CSIRO Energy, Private Bag 10, Clayton South, Melbourne, VIC 3169, Australia)

  • Xianrong Zhuo

    (College of Rural and Urban Construction, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)

Abstract

Globally, buildings account for nearly 40% of the total primary energy consumption and are responsible for 20% of the total greenhouse gas emissions. Energy consumption in buildings is increasing with the increasing world population and improving standards of living. Current global warming conditions will inevitably impact building energy consumption. To address this issue, this report conducted a comprehensive study of the impact of climate change on residential building energy consumption. Using the methodology of morphing, the weather files were constructed based on the typical meteorological year (TMY) data and predicted data generated from eight typical global climate models (GCMs) for three representative concentration pathways (RCP2.6, RCP4.5, and RCP8.5) from 2020 to 2100. It was found that the most severe situation would occur in scenario RCP8.5, where the increase in temperature will reach 4.5 °C in eastern Australia from 2080–2099, which is 1 °C higher than that in other climate zones. With the construction of predicted weather files in 83 climate zones all across Australia, ten climate zones (cities)—ranging from heating-dominated to cooling-dominated regions—were selected as representative climate zones to illustrate the impact of climate change on heating and cooling energy consumption. The quantitative change in the energy requirements for space heating and cooling, along with the star rating, was simulated for two representative detached houses using the AccuRate software. It could be concluded that the RCP scenarios significantly affect the energy loads, which is consistent with changes in the ambient temperature. The heating load decreases for all climate zones, while the cooling load increases. Most regions in Australia will increase their energy consumption due to rising temperatures; however, the energy requirements of Adelaide and Perth would not change significantly, where the space heating and cooling loads are balanced due to decreasing heating and increasing cooling costs in most scenarios. The energy load in bigger houses will change more than that in smaller houses. Furthermore, Brisbane is the most sensitive region in terms of relative space energy changes, and Townsville appears to be the most sensitive area in terms of star rating change in this study. The impact of climate change on space building energy consumption in different climate zones should be considered in future design strategies due to the decades-long lifespans of Australian residential houses.

Suggested Citation

  • Shu Chen & Zhengen Ren & Zhi Tang & Xianrong Zhuo, 2021. "Long-Term Prediction of Weather for Analysis of Residential Building Energy Consumption in Australia," Energies, MDPI, vol. 14(16), pages 1-20, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4805-:d:609970
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    References listed on IDEAS

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