@article {31669,
	title = {A novel approach for selecting typical hot-year (THY) weather data},
	journal = {Applied Energy},
	volume = {242},
	year = {2019},
	month = {03/2019},
	pages = {1634 - 1648},
	abstract = {<p>The global climate change has resulted in not only warmer climate conditions but also more frequent extreme weather events, such as heat waves. However, the impact of heat waves on the indoor environment has been investigated in a limited manner. In this research, the indoor thermal environment is analyzed using a building performance simulation tool for a typical residential building in multiple cities in China, over a time period of 60 years using actual measured weather data, in order to gain a better understanding of the effect of heat wave events. The simulation results were used to analyze the indoor environment during hot summers. A new kind of weather data referred to as the typical hot year was defined and selected based on the simulated indoor environment during heat waves. The typical hot-year weather data can be used to simulate the indoor environment during extreme heat events and for the evaluation of effective technologies and strategies to mitigate against the impact of heat waves on the energy demand of buildings and human health. The limitations of the current study and future work are also discussed.</p>},
	keywords = {Actual weather data, dest, Heat wave, Multiyear simulation, Residential indoor thermal environment, Typical hot year},
	issn = {03062619},
	doi = {10.1016/j.apenergy.2019.03.065},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0306261919304659},
	author = {Siyue Guo and Da Yan and Tianzhen Hong and Chan Xiao and Ying Cui}
}
@article {30301,
	title = {Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China},
	journal = {Applied Energy},
	volume = {195},
	year = {2017},
	month = {06/2017},
	pages = {890-904},
	abstract = {<p>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.</p>},
	keywords = {Actual weather data, building simulation, energy use, Multiyear simulation, Peak load   , Typical year},
	doi = {10.1016/j.apenergy.2017.03.113},
	author = {Ying Cui and Da Yan and Tianzhen Hong and Chan Xiao and Xuan Luo and Qi Zhang}
}
