Abstract
The conventional typical meteorological year (TMY) based on continuous-year original meteorological records without considering abrupt climate changes (ACC) may not be able to represent a real “typical” climate properly. Consequently, building performance analyses and simulations based on TMY may be not accurate. Current research rarely tackles this issue in TMY development. This paper presents an innovative TMY development with the consideration of ACC in the original meteorological records. It is based on the Chinese standard weather database method (CSWD) with the meteorological records of six Chinese cities in different climate zones. It applies the Moving t-test method to identify and exclude ACC points and to refine the timescales for TMY development. It also depicts the development of individual typical meteorological months again with the ACC impact to improve the accuracy of TMY. The method has been verified in several building energy consumption and thermal comfort analyses. The results demonstrate that the analysis based on the new TMY climate datasets when considering ACC will end up with less energy consumption and better thermal performance compared to the analyses based on the conversion dataset without considering ACC. This experimental research will refine TMY development, and further improve building energy performance analysis and design.
Highlights
The concept of a typical meteorological year (TMY) plays an important role in building energy performance simulation, indoor human comfort analysis, and solar heating and cooling system performance optimization [1,2]
The development of TMY is mainly based on the following aspects: (1) the different methods to identify a TMY, which are determined by different meteorological parameters, weighting factors, availability of meteorological records and mathematical methods [3,4], such as Danish methods [5,6], Festa-Ratto method [7,8], Sadia method [5,9], CSWD method (Chinese standard weather database method) [10,11,12], CTYW method (Chinese typical year weather method) [13,14], and so on
This study develops composed of average typical meteorological months (TMMs)
Summary
The concept of a typical meteorological year (TMY) plays an important role in building energy performance simulation, indoor human comfort analysis, and solar heating and cooling system performance optimization [1,2]. (1) the different methods to identify a TMY, which are determined by different meteorological parameters, weighting factors, availability of meteorological records and mathematical methods [3,4], such as Danish methods [5,6], Festa-Ratto method [7,8], Sadia method [5,9], CSWD method (Chinese standard weather database method) [10,11,12], CTYW method (Chinese typical year weather method) [13,14], and so on. This paper here presents a research on this issue with an in-deep discussion on the reasoning method of a TMY based on the meteorological records It reveals a comparison study on the energy consumption and thermal comfort analysis based on the improved. Several Chinese cities from different climate zones are adopted as samples in this study
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