Downscaling of Hourly Climate Data for the Assessment of Building Energy Performance
Round 1
Reviewer 1 Report
For the meteorological parameters of the existing scale, the numerical method is used to refine the meteorological parameters in the time scale, which has certain application value for scenes requiring smaller scale data. However, the research did not analyze and break through the key elements and core principles of reducing the scale of meteorological parameters, nor did it differentiate the scale of meteorological parameters corresponding to the characteristics of the analyzed problems. Therefore, the research did not make a breakthrough in the key mechanism of reducing the scale of meteorological parameters, nor did it conduct a theoretical analysis on the meteorological scale demand of the analyzed energy characteristics, and the research did not form the necessary scientific innovation and contribution.
Author Response
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Reviewer 2 Report
Comments to the Authors
sustainability-2148921: "Downscaling of Hourly Climate Data for Assessment of Building Energy Performance", Irena Balog, et al.
The authors have conducted a simulation research by applying different mathematical and physical models for the main climate variables considered in energy balance of building in order to decrease building energy consumption.
The review paper will be improved if the following problems are solved.
1. Abstract
Only background and basic method have be explained in this part. Typical results and key findings are also should be mentioned for readers’ better understanding.
2. Results
Why in Figure 9a and figure 11 there are peaks at 11:00 for observation? But estimation cannot fit the local change.
3. Conclusion
The key findings should be summarized as 3-5 items. Besides, it’s a little strange that reference 18 is found at the last line.
Author Response
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Reviewer 3 Report
The article is well-structured and of great interest.
(a) Although there are no similar studies in the literature, the introduction and the number of citations should be expanded.
(b) 106-109: The correct estimation of solar radiation does not only strongly influence solar energy systems, but also building energy needs as shown for example in [1] and [2].
[1] Michalak, Piotr. "Modelling of Solar Irradiance Incident on Building Envelopes in Polish Climatic Conditions: The Impact on Energy Performance Indicators of Residential Buildings." Energies 14.14 (2021): 4371.
[2] Summa, Serena, et al. "Impact on Thermal Energy Needs Caused by the Use of Different Solar Irradiance Decomposition and Transposition Models: Application of EN ISO 52016-1 and EN ISO 52010-1 Standards for Five European Cities." Energies 15.23 (2022): 8904.
(c) Adding information on the sensors used to measure climate data
(d) In section "4. Validation of models" enter the formulas used to calculate the MBE and RMSE.
(e) Checking the English language
Author Response
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Reviewer 4 Report
Kindly include references in the line #23 and #29
Line number 58 needs more clarification regarding the literature
Overall, more number of references could be included especially in the introduction and methodology sections
The authors had mentioned some of the temperature data were missing from line number 136 to 143. Is it possible to include the data for those points (say using interpolation technique) and check how the output changes?
The authors are recommended to cite more recent articles in their manuscript. The conclusion section could be modified such that it independently describes the major findings of the manuscript.
Author Response
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Round 2
Reviewer 2 Report
As the authors have revised the manuscript properly according to the comments, it could be accepted for publication.
Reviewer 3 Report
Corrections have been made as requested.
The work is ready to be published.
