Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey

Round 1

Reviewer 1 Report

The article presented a critical review in the form of a comprehensive survey for GTPGP modeling, identification, and control. I have the following suggestion for the article:

As the article is a review paper I expect more discussion in detail for promising areas and future directions about the research area. The "The Proposed New Trends " is very short and definitely needs more discussion to improve the article's quality.

The same suggestion is applied for the conclusion section. the section is very short and needs further discussion.

 

I also expect the review article to be further enriched with recent and relevant references:

For example the author mentions "The GTs can be found in some applications including engines used in aircraft, and gas turbines used in power generation plants". I suggest adding a reference for GT gas turbines for example :

1. (2018, June). Real-time optimization of a solar-natural gas hybrid power plant to enhance solar power utilization. In 2018 Annual American Control Conference (ACC) (pp. 3002-3007). IEEE.

2.  (2017). Industrial gas turbine health and performance assessment with field data. Journal of Engineering for Gas Turbines and Power, 139(5).

 

The author further mentions "The survey of this paper rather focuses on the models-based control and dynamic performance studies for gas turbine generation units." I suggest adding reference of similar recent studies on control and dynamic performance of plants for example:

1.  (2020). Dynamic simulation and techno-economic analysis of a concentrated solar power (CSP) plant hybridized with both thermal energy storage and natural gas. Journal of Cleaner Production, 248, 119193.

2. (2017). Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50, 212-222.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

This article reviews modeling and control strategies for gas turbine power generation systems. The reviewer would like to thank the authors for their submission. However, a number of major and minor issues should be addressed before this submission should be considered for publication:

Major issues:

• The paper is extremely light in details about the reviewed literature. Most of the paper consists of 1-paragraph summaries of published papers. However, relatively little effort is made to provide further details on the leading approaches (e.g., the ones which have been cited the most or thoroughly vetted through industrial application). The extremely general energy/mass balances in (1)-(3) are in no way sufficient to explain the physics-based modeling of the complex components and systems under discussion. Further details and equations should be used to explain the most salient modeling and control strategies with a greater level of depth.
• The paragraphs summarizing different approaches are not well organized or ordered. For example, the section on control essentially alternates between summarizing approaches based in MPC and based in other methods.
• Many of the control approaches discussed have been applied in simulation only. It should be made clear which have been experimentally validated, as well as what the extent of that validation was (e.g., application to a laboratory testbed or to an industrial system used in practice).
• Lines 145-150 state that qualitative accuracy comparison is not possible, therefore it is not clear what basis is being used to rank accuracy in Table 3. This requires more explanation, and citations should be included in the table to indicate which papers from the literature are being compared.
• Regarding the first of the proposed new trends, it's not clear why the authors believe that these new optimization techniques would bring improved results. The extent of the justification seems to be that newer techniques are always better, which is of course not necessarily the case in every application. At a minimum, some intuition should be suggested as to what mathematical features of these techniques would be advantageous given specific features of the application under discussion. Citations to the literature on these techniques should also be included.
• Regarding the third of the proposed new trends, there appears to be some confusion about the broad field of control theory. It is not clear what is meant by "LMI" control methods. LMIs are a mathematical construction that appear in many modern control techniques, including in some of the literature cited by the authors. Did the authors intended to refer to something like H-infinity control? Also, the authors seem to be conflating the distinct fields of control design and observer design, of which an EKF belongs in the latter. 
• The manuscript has many typos and grammatical issues. For just a few examples, see lines 117, 195, 199, 496 (should be descending instead of descent), and 502.

Minor issues:

• Line 74 says that all modeling/controls procedures are generally the same, which seems to conflict with the later characterization of approaches into distinct categories.
• The acronym HRSG is used in line 85 but not defined until much later. This should be corrected, and the paper should be checked for other similar issues.
• The directions of the arrows in Fig. 2 do not appear to be correct.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

I am satisfied with the revised version of the article. I suggest publishing the article in the current form.

Author Response

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Author Response File: Author Response.doc

Reviewer 2 Report

The reviewer has two additional comments for the authors:

1. While the inclusion of further equations/details on modeling is appreciated, very few of the variables are defined, which makes this difficult to follow. Furthermore, from the perspective of control it would be helpful to organize the equations into a state-space form that makes clear which signals are control inputs, which are the typical controlled outputs, and what the typical references/objectives/constraints would be on these signals.
2. There are still some grammatical issues throughout the manuscript that should be corrected. A grammar checking algorithm like the one built into Microsoft Word should be able to detect many of these, or the authors may wish to consult a professional English proofreader.

Author Response

Please see the attachment.

Author Response File: Author Response.doc