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Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

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  • Cui, Ying
  • Yan, Da
  • Hong, Tianzhen
  • Xiao, Chan
  • Luo, Xuan
  • Zhang, Qi

Abstract

Weather has significant impacts on the thermal environment and energy use in buildings. Thus, accurate weather data are crucial for building performance evaluations. Traditionally, typical year data inputs are used to represent long-term weather data. However, there is no guarantee that a single year represents the changing climate well. In this study, the long-term representation of a typical year was assessed by comparing it to a 55-year actual weather data set. To investigate the weather impact on building energy use, 559 simulation runs of a prototype office building were performed for 10 large cities covering all climate zones in China. The analysis results demonstrated that the weather data varied significantly from year to year. Hence, a typical year cannot reflect the variation range of weather fluctuations. Typical year simulations overestimated or underestimated the energy use and peak load in many cases. With the increase in computational power of personal computers, it is feasible and essential to adopt multiyear simulations for full assessments of long-term building performance, as this will improve decision-making by allowing for the full consideration of variations in building energy use.

Suggested Citation

  • Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
    • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:890-904
    DOI: 10.1016/j.apenergy.2017.03.113
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    17. Jiaxi Hu & Chengxi Lyu & Yinzhen Hou & Neng Zhu & Kairui Liu, 2024. "Research on Summer Indoor Air Conditioning Design Parameters in Haikou City: A Field Study of Indoor Thermal Perception and Comfort," Sustainability, MDPI, vol. 16(9), pages 1-18, May.
    18. Chen Xu & Yu Li & Xueting Jin & Liang Yuan & Hao Cheng, 2017. "A Real-Time Energy Consumption Simulation and Comparison of Buildings in Different Construction Years in the Olympic Central Area in Beijing," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    19. Li, Chong & Zhou, Dequn & Zheng, Yuan, 2018. "Techno-economic comparative study of grid-connected PV power systems in five climate zones, China," Energy, Elsevier, vol. 165(PB), pages 1352-1369.

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