Downscaling of Hourly Climate Data for the Assessment of Building Energy Performance
Irena Balog,
Giampaolo Caputo (),
Domenico Iatauro,
Paolo Signoretti and
Francesco Spinelli
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Irena Balog: ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Giampaolo Caputo: ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Domenico Iatauro: ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Paolo Signoretti: ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Francesco Spinelli: ENEA C.R. Casaccia, Via Anguillarese 301, 00123 Rome, Italy
Sustainability, 2023, vol. 15, issue 3, 1-14
Abstract:
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.
Keywords: climate data; downscaling; TMY (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:3:p:2762-:d:1056254
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