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Volume 12
Issue 8
10.3390/buildings12081135
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Article
Peer-Review Record

A Quantitative Analysis on Key Factors Affecting the Thermal Performance of the Hybrid Air-Based BIPV/T System

Buildings 2022, 12(8), 1135; https://doi.org/10.3390/buildings12081135
by Juanli Guo 1, Yongyun Jin 2, Zhenyu Li 3,* and Meiling Li 1
Reviewer 1: Anonymous
Reviewer 2:
Bendong Yu
Buildings 2022, 12(8), 1135; https://doi.org/10.3390/buildings12081135
Submission received: 14 June 2022 / Revised: 11 July 2022 / Accepted: 14 July 2022 / Published: 1 August 2022
(This article belongs to the Special Issue Healthy Green Building Planning and Design)

Round 1

Reviewer 1 Report

This study developed an Back Propagation Neural Network as a surrogate model to analyze the influencing factors of BIPV/T system. This study provides insights into the correlation between various factors and the thermal efficiency. The topic is interesting. The major comments are as follow:

1.       Please provide more detail about the structure of BPNN model. Such as number of nodes. Any activation function used?

2.       Discuss more about the influencing factors that were analyzed in previous similar studies. Is there any difference with previous studies about the influencing weights for important factors?

3.       Please show the trending of system efficiency with important input to confirm the BPNN model has learned the correct trending. Such as H_ain and δ_acv.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 2 Report

Fig.1 is unclear.

What’s the meaning of Equation (1). How to verify rationality?

For every solar systems, how to verify the rationality of the solar-air temperature? The detailed external heat transfer processes should be considered.

The experimental verification on your model should be added.

English should be improved.

Both the thermal and electrical performances should be investigated.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Reviewer 3 Report

Study presents research data on well know and well-studied topic.  The progress beyond stage of the art is limited and is not sufficiently explain.

Why indoor temperature is assumed as constant? The data on outdoor air parameters is not presented.  What was the air change rate?

How the heat flow through the panels were calculated. What king of properties were assumed for the panel

Abbreviation used in figure 4 should be explain in more details.

Author Response

Please see the attachment

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The paper can be accepted now

Reviewer 2 Report

It can be accepted.

Reviewer 3 Report

Authors were able to address all comments. The provided additional information has  significantly improved this article.

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