Simplified Calculation of Tsol Based on Dynamic Numerical Simulation of Tsky in Diverse Climates in China
Round 1
Reviewer 1 Report
This submission tries to use the statistical model method to simplify the calculation of the relationship between the comprehensive temperature and sky radiation in different climatic regions and the building heat gain. The regression formula obtained can simplify the calculation, and the research has certain innovation. However, this paper has the following problems:
1) The abstract part fails to clearly describe the current problems in the field of research, and the author puts forward some ideas to solve the problem and the final results. The above aspects are not clear enough, and the summary needs to be improved.
2) The introduction fails to fully demonstrate the necessity of the author's research. I think the author's innovation lies in proposing a statistical method to simplify the calculation. More accurate calculation is not the focus of the author's research. In fact, the statistical method model proposed by the current author is difficult to obtain very accurate results.
3) Many formulas in the text are commonly used in textbooks and are common sense. For example, where is the necessity of Formula 8-12?
4) It seems that the paper only establishes a standard building model for different climate zones. Is this appropriate? According to China's construction standards, is it unnecessary to consider the differences in building shape coefficient and window wall ratio in different climate regions?
5) In this paper, a scenario is calculated and analyzed, and the conclusions obtained should be limited to the author's example and should not be extended too much. The environmental conditions around the building and the ground pavement have a very important impact on the long wave radiation. The author did not consider the differences in the building environment in the calculation example. Therefore, the results and discussion are only applicable to the calculation examples listed by the author and cannot be expanded. It should be emphasized that only if the results of the example get the conclusions listed by the author.
Author Response
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Author Response File: 
Author Response.pdf
Reviewer 2 Report
The authors in the article discuss the method of calculating the building's long-wave thermal radiation, a theoretical analysis based on the influence of sky temperature is carried out. They chose to calculate Tsol time in winter and summer for 10 weather stations covering 5 thermal zones of buildings in China. They conducted the research on the basis of the square root error, as which was the measurement standard, and determined the linear regression equation of the calorific value obtained by the Tsky estimation method and the Tsky dynamic calculation method. Based on the research, they found that long-wave heat transfer is obtained using calculation parameters and sky temperature with greater precision for calculations and simulations, and the correct equation of the air temperature estimation method is obtained.
The work is generally well written, but requires minor corrections before publication.
Reviewer's Notes
Errors in the numbering of equations (there is position 1 then 4) page 3, 4
In figure 2, the graphs can be separated separately a, separately b, because in the current version they are too small and it is difficult to read some data.
Figure 3, 4, 5, 7 can be enlarged because there is space, and being so small is also difficult to read.
Not enough literature
Author Response
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Author Response File: Author Response.pdf
Reviewer 3 Report
The content of this paper is to report the calculation equation of Sol-air temperature with two empirical equations. The authors used a lot of criteria to compare the two equations. However, they misunderstood the meaning of the statistical concepts.
These criteria, such RSME, MBE, R2, and STE, are used to evaluate the fitting agreement between the actual measurement values and predicted values from prediction equations. In this study, both Xi and Yi in equations (8-12) are calculated with prediction equations. That is a serious mistake.
Many empirical equations have been proposed to calculate the Tsol temperature and sky temperature, the authors need to explain the reason that they select limited equations in this study.
The conclusion of “The results show that relative humidity is the key meteorological factor that affects the applicability of Tsol model” was not correct. The main factor is solar radiation. In summer, higher solar radiation enhances the decrease of air relative humidity. In winter, lower solar radiation makes the decrease of air’s relative humidity
In Equation (1), what is the Tsa, why not the Tsol?
Please make the measurement work to collect the actual data and reevaluate the fitting agreement of the prediction equation. Then rewrite this paper.
Author Response
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Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
The content of this paper has improved significantly. However, there are still a lot of grammar and spelling mistakes in the content. Please ask an expert to revise it totally. For example, Line 43-51
“Two bodies at different temperatures and in co-visible with each other tend to exchange energy by LW radiation (infrared) in order to reach an equilibrium. These exchanges happen inside and outside the building.To study them, the difficulty is that all surrounding factors must be taken into account, including the sky. The exchanges will be calculated between each and all other surface of the building, the temperature and emissivity of which must be known.Moreover, in these calculations, the surface temperature appears with an exponent 4, which complicates calculations. Infrared calculations thus require the thermal calculation of a larger system and the introduction of non-linear terms, so that the simplified solution is proposed.[4]”
Revised as:
Two bodies at different temperatures and in co-visible with each other tend to exchange energy by LW radiation (infrared) in order to reach an equilibrium. These exchanges happen inside and outside the building. To study them, the difficulty is that all surrounding factors must be taken into account, including the sky. The exchanges will be calculated between each and all other surfaces of the building, the temperature, and emissivity of which must be known. Moreover, in these calculations, the surface temperature appears with an exponent of 4, which complicates calculations. Infrared calculations thus require the thermal calculation of a larger system and the introduction of non-linear terms, so that a simplified solution is proposed.[4]
Author Response
Grammar and spelling errors in the content have been corrected after language improvement editing.
