Downscaling of Hourly Climate Data for the Assessment of Building Energy Performance

被引:5
作者
Balog, Irena [1 ]
Caputo, Giampaolo [1 ]
Iatauro, Domenico [1 ]
Signoretti, Paolo [1 ]
Spinelli, Francesco [1 ]
机构
[1] ENEA C R Casaccia, Via Anguillarese 301, I-00123 Rome, Italy
关键词
climate data; downscaling; TMY; SOLAR; GENERATION; MODEL;
D O I
10.3390/su15032762
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In Italy, the calculation of the energy needs of buildings has been mainly based on quasi-steady state calculation procedures. Nowadays, the increasing interest in more detailed energy analysis for high-efficiency buildings requires more accurate calculation methods. In this work, starting from the hourly data of UNI 10349, the downscaling of a typical meteorological year was carried out by applying different mathematical and physical models for the main climate variables considered in the energy balance of a building to be used in dynamic simulation tools. All results were validated with one-minute measurements observed at the ENEA Research Centre in Rome, Italy. The results showed an MBE% of 0.008% and RMSE% of 0.114% using the interpolation spline method for the temperature, while, for the global horizontal irradiance, applying the novel sinusoidal-physical interpolation method showed an MBE% of -0.4% and an RMSE% of 31.8% for the 1 min observation data. In this paper, an easily implemented novel model for downscaling solar irradiance for all sky conditions that takes into account the physical aspects of atmospheric phenomena is presented.
引用
收藏
页数:14
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