Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China
Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China
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DOI：
10.1016/j.apenergy.2017.03.113
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发表时间：
2017-06
期刊：
影响因子：
11.2
通讯作者：
Ying Cui;D. Yan;Tianzhen Hong;C. Xiao;Xuan Luo;Qi Zhang-
中科院分区：
文献类型：
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作者：
Ying Cui;D. Yan;Tianzhen Hong;C. Xiao;Xuan Luo;Qi Zhang-
天气对建筑物的热环境和能源使用有重大影响。因此，准确的天气数据对于建立绩效评估至关重要。传统上，典型的年份数据输入用于表示长期天气数据。然而，不能保证某一年就能很好地代表气候变化。在这项研究中，通过将其与55年的实际天气数据集进行比较，评估了典型年份的长期代表性。为了研究天气对建筑能耗的影响，中国对覆盖所有气候带的10个大城市的一座原型办公楼进行了559次模拟运行。分析结果表明，气象资料年际间差异较大。因此，一个典型的年份不能反映天气波动的变化范围。在许多情况下，典型的年度模拟高估或低估了能源使用和峰值负荷。随着个人计算机计算能力的提高，采用多年模拟对建筑物的长期性能进行全面评估是可行的，也是必要的，因为这将充分考虑建筑物能源使用的变化，从而改善决策。
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.