Improvement of Marine Steam Turbine Conventional Exergy Analysis by Neural Network Application

Round 1

Reviewer 1 Report

The paper is strongly related to the scope of JMSE, so it covers the application of the artificial intelligent method MLP to a marine turbine.

The study, in general, is well organized, composed and the length is appropriate.

Discussion of the results and conclusions are well planned, pointing to the minimum measurement points in each turbine cylinder an as a whole to model the exergy analysis without loss of accuracy and precision.

The manuscript needs a minor revision of English. As an example, the mistakes in the lines 43, 107, 329, 773, must be corrected.

The study can be improved by attending the following remarks:
- Lines 63-65. If the authors are thinking in general, exergy analysis, not only takes into account fluid flows and mechanical power but also the heat transfer. If so, the later must be mentioned. As an example, in eq. (1) line 188, the exergy transfer by heat is included.

- Line 188. The eq. (1) shows the steady-state overall exergy balance. This fact must be mentioned.

- Line 199. Regarding the specific exergy, when an open system (control volume) is involved the exergy accompanying a mass flow rate is termed “specific flow exergy” to avoid confusion with the exergy of a closed system.

- Subtitle 4. The authors explain the application of MLP, but there is no reference to software or own code to apply the described AI methodology.

- Line 347-348. The expression “leaving port” is confusing. I guess most of the measurements on the LNG carrier were obtained during the voyage, at steady-state conditions for 24 different turbine loads. When the ship is leaving the port, it takes time to achieve the steady-state regime and more if the load is changing.

- Subtitle 5.3. An error analysis of the measurements must be done. In table 7, equipment precision must be shown.

- Figures 13 to 16, do not match with the preceding ones. For instance, the first combination of input parameters in figure 13 is 1,2,3,4,5,6,7, while in figure 12 the legend is 1-7. This nomenclature must be regularized.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Thank you for inviting me to review the manuscript below:

Journal: JMSE (ISSN 2077-1312)

Manuscript ID: jmse-981158

Type: Article

Title:  Conventional and neural networks based exergy analysis of marine steam turbine

This paper focuses on the exergy analysis of marine steam turbine by neural network based on the Multilayer Perceptron. The methodology is well presented but the paper needs some minor revisions.

1. The abstract should be revised, complex. In the abstract, striking sentences emphasizing the work should be added.
2. The novelty/originality, the new body of knowledge, the knowledge gap needs to be clearly addressed in Introduction.
3. The article title should be more attractive.
4. A summary of the content should be provided at the end of the introduction.
5. Figure 1 should be improved. Add a steam generator circuit and a connection to the condenser.
6. Add Mollier water steam thermodynamic transformation diagram with characteristic points.
7. Add the measured data diagram that was used in the MLP learning method.
8. The results and discussion should be discussed more extensively.
9. The following works of literature, that are closely related to the content of the article, should be added: https://doi.org/10.1016/j.energy.2014.11.074; https://doi.org/10.1016/j.simpat.2015.06.003; https://doi.org/10.1016/j.ijheatmasstransfer.2020.119897
10. In the text there are errors in English, need to be carefully read and corrected.

Author Response

Please see the attachment

Author Response File: Author Response.pdf