Evaluation of Weighted Mean of Vectors Algorithm for Identification of Solar Cell Parameters

Reviewer 1: Recommendation: minor revision.

The manuscript demonstrates a method for the evaluation of the weighted mean of vectors (INFO) algorithm for the identification of solar cell parameters. The manuscript is reasonably designed, well organized, and reasonably explained. So, I recommend that this manuscript can be accepted for publication in the Processes after a minor revision.

Reviewer Comments

Authors Responses

1.      The introduction of this paper needs to make a strong argument about the impact and novelty of the work further.

Response: Thank you for this comment.

Thanks for your comment, this was corrected in the revised version.

This work is contributed in the following items: 

1.       A novel optimization method (INFO) is applied in estimating the solar cell variables in three models such as three diodes solar cell (TDSCM), double diode solar cell (DDSCM) and single diode solar cell (SDSCM).

2.       The fitness function of identification work is minimizing the root mean square error between the measured data of current and the data of simulated current based on the parameters identified from the algorithms.

3.       Comparison between INFO technique with another six methods such as Harris hawk's optimization, Tunicate Swarm Algorithm, Sine cosine algorithm (SCA), Moth Flam Optimizer, Grey Wolf Optimization, Chimp Optimization Algorithm, Runge Kutta Optimizer.

4.       The statistical analysis is applied to measure the performance evaluation of the proposed RUN algorithm and all competitor algorithms. This analysis contains several points such as the minimum, maximum, mean and standard deviation of the objective function over 30 independent runs.

5.       The faster and high reliability algorithm is determined according to the convergence and robustness curves for all algorithms.

6.       The efficiency of INFO method is determined also based on the absolute error value for current and power between the measured and simulated recorded data.

2.      The Figures should be well-organized and refined.

Response: Thank you for this comment.

Thanks for your comment, this was corrected in the revised version.

3.      Some equations should be checked.

Response: Thank you very much for deep reading and detailed review, this was corrected in the revised version.

4.      Some issues and writing mistakes that exist in the manuscript. The authors should carefully check and correct them. Such as, “figure 1”on Line 106, and “Figure 6a depicts three vectors, whereas Fig. 6c”on Line 169. “2. Problem formulation of solar cell models” on Line100 and “6. Numerical Analysis of Results” on Line 209.

Response: Thank you for this comment.

Thanks for your comment, this was corrected in the revised version.

Reviewer 2: This research paper addresses an interesting research topic regarding the Evaluation of Weighted Mean of Vectors Algorithm for Solar Cell Parameters. This topic is timely for the mathematics Journal. However, the paper needs important improvements previous to its possible publication in this recognized Journal:

Reviewer Comments

Authors Responses

1.      The authors do not use the correct format to present the paper to the MDPI journals. It is difficult to read the paper using a general format. Please revise it carefully according to the Journal rules.

Response: Thank you so much for this advice, that is right, we have fixed this confusion.

2.      In the introduction, it is recommended to include a table where the most important approaches related to the study proposed in this research be listed. This table will help to comprehend easily the main contributions of the authors.

Response: Thank you for this comment.

Thanks for your comment, this will take into consideration in the future work.

3.      The quality of all the figures is poor. Please revise and improve the quality of these when possible.

Response: Thank you very much for deep reading and detailed review. The figures formatting is improved in the revised version.

4.      Please highlight the significance of the work. By clearly emphasizing the significance of their paper for the reader, will increase its impact and significance to the community.

Response: Thank you for this comment.

Thanks for your comment, this was corrected in the revised version.

This work is contributed in the following items: 

1.       A novel optimization method (INFO) is applied in estimating the solar cell variables in three models such as three diodes solar cell (TDSCM), double diode solar cell (DDSCM) and single diode solar cell (SDSCM).

2.       The fitness function of identification work is minimizing the root mean square error between the measured data of current and the data of simulated current based on the parameters identified from the algorithms.

3.       Comparison between INFO technique with another six methods such as Harris hawk's optimization, Tunicate Swarm Algorithm, Sine cosine algorithm (SCA), Moth Flam Optimizer, Grey Wolf Optimization, Chimp Optimization Algorithm, Runge Kutta Optimizer.

4.       The statistical analysis is applied to measure the performance evaluation of the proposed RUN algorithm and all competitor algorithms. This analysis contains several points such as the minimum, maximum, mean and standard deviation of the objective function over 30 independent runs.

5.       The faster and high reliability algorithm is determined according to the convergence and robustness curves for all algorithms.

6.       The efficiency of INFO method is determined also based on the absolute error value for current and power between the measured and simulated recorded data.

5.      Please provide a "Graphical Abstract".

Response: Thank you for this comment.

Thanks for your comment, the abstract graph is attached in the corrected version.

6.      The current literature review is not sufficient. For example, please mention (give) following more current studies related in the sections of Introduction, and References List for completeness of your study and the references:
- 4E investigating of a combined power plant and converting it to a multigeneration system to reduce environmental pollutant production and sustainable development, Journal: Energy Conversion and Management
- Exergoeconomic and environmental analysis of a combined power and water desalination plant with parabolic solar collector, Journal: Desalin Water Treat
- 4E analysis of three different configurations of a combined cycle power plant integrated with a solar power tower system, Journal:Sustainable Energy Technologies and Assessments

Response: Thank you for this comment.

Thanks for your comment, the following reference is added:

1.         Ramin Ghasemiasl, Mani Khalili Abhari, Mohammad Amin Javadi , Hossein Ghomashi, ''4E investigating of a combined power plant and converting it to a multigeneration system to reduce environmental pollutant production and sustainable development'', Energy Conversion and Management 245 (2021) 114468.

2.         Mohammad Amin Javadi, NiloofarJafari Najafi, ManiKhalili Abhari, RoohollahJabery, HamidrezaPourtaba, ''4E analysis of three different configurations of a combined cycle power plant integrated with a solar power tower system, Journal:Sustainable Energy Technologies and Assessments, 48(2021)101599.

3.          Mohammad Amin Javadia , Mehdi Khalajia , Ramin Ghasemiasl, ''Exergoeconomic and environmental analysis of a combined power and water desalination plant with parabolic solar collector'', Desalination and Water Treatment, 193 (2020) 212–223.

7.      all abbreviations must be defined for the first time

Response: Thank you for this comment.

Thanks for your comment, this was added in the revised version.

Reviewer 3: The authors provide a study that develop a new optimization method of photovoltaic model where weighted mean of vectors was utilized in estimated solar cell variables. The conclusion is well-supported. Therefore, the reviewer recommend acceptance.

Response: Thank you for your effort in the revision.