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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.

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  • 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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    5. Michele Libralato & Alessandra De Angelis & Giulia Tornello & Onorio Saro & Paola D’Agaro & Giovanni Cortella, 2021. "Evaluation of Multiyear Weather Data Effects on Hygrothermal Building Energy Simulations Using WUFI Plus," Energies, MDPI, vol. 14(21), pages 1-15, November.
    6. Yuan, Jihui & Huang, Pei & Chai, Jiale, 2022. "Development of a calibrated typical meteorological year weather file in system design of zero-energy building for performance improvements," Energy, Elsevier, vol. 259(C).
    7. Francesco Mancini & Gianluigi Lo Basso, 2020. "How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector," Energies, MDPI, vol. 13(2), pages 1-24, January.
    8. Bell, N.O. & Bilbao, J.I. & Kay, M. & Sproul, A.B., 2022. "Future climate scenarios and their impact on heating, ventilation and air-conditioning system design and performance for commercial buildings for 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    9. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    10. Vincenzo Costanzo & Gianpiero Evola & Marco Infantone & Luigi Marletta, 2020. "Updated Typical Weather Years for the Energy Simulation of Buildings in Mediterranean Climate. A Case Study for Sicily," Energies, MDPI, vol. 13(16), pages 1-24, August.
    11. Li, Honglian & Yang, Yi & Lv, Kailin & Liu, Jing & Yang, Liu, 2020. "Compare several methods of select typical meteorological year for building energy simulation in China," Energy, Elsevier, vol. 209(C).
    12. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    13. Evola, Gianpiero & Costanzo, Vincenzo & Infantone, Marco & Marletta, Luigi, 2021. "Typical-year and multi-year building energy simulation approaches: A critical comparison," Energy, Elsevier, vol. 219(C).
    14. 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.
    15. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    16. 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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