Features of a Cooling System Simulation Tool Used in Industrial Preliminary Design Stage

Zecchi, Stefano; Arcangeli, Lorenzo; Facchini, Bruno; Coutandin, Daniele

doi:10.1115/gt2004-53547

Cited by 18 publications

(9 citation statements)

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“…The majority of previous works related to conjugate heat transfer (CHT) models (eg, Starke et al, Montenay et al, Ni et al, Heselhaus, and Sun et al) has assumed steady flow conditions to study heat transfer and flow field characteristics. However, actual flow conditions inside turbines are often variable and unsteady.…”

Section: Discussionmentioning

confidence: 99%

“…They used 1D simulation approaches to investigate internal cooling passages. An advantage of 1D modelling is that it is less time‐consuming compared with 3D modelling . One may use 1D modelling if they are not too strict on the accuracy of the results but expecting to have some general understanding on the heat transfer behaviour …”

Section: Modellingmentioning

confidence: 99%

“…Based on the principles of conjugate heat transfer and 1D solver techniques, Zecchi et al presented a simulation to analyse heat transfer of a gas turbine cooling system by coupling energy, mass flow, and momentum conservation equations. These equations were integrated with experimental estimates for pressure losses and heat transfer.…”

Section: Modellingmentioning

confidence: 99%

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Modelling of heat transfer and fluid flow in the hot section of gas turbines used in power generation: A comprehensive survey

2018

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Summary Power generation is one of the major industries or businesses globally. Although, at present, a major attention has been paid towards the sustainable energy technologies, both gas and steam turbines are still heavily used in the power generation sector worldwide. Usually, gas turbines are used to drive an electrical power generator in simple systems, or they are used in combined cycle plants together with steam turbines. This paper presents a comprehensive review on modelling of heat transfer and fluid flow in hot section of gas turbines used in the power generation sector. Visibly, heat transfer and fluid flow characteristics directly affect the thermal efficiency and the overall performance of the gas turbines. Hence, existing models relating to heat transfer and fluid flow inside gas turbines are discussed in detail. Primarily, methods relating to the first principle modelling, empirical modelling, and finite element modelling are reviewed comprehensively, and then, a discussion is provided together with a comparison among models in terms of their advantages and disadvantages. Moreover, some existing issues such as the environmental impact are discussed which still remain as challenges to the power generation industry together with some of the possible future directions for improvements.

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Section: Discussionmentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

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Modelling of heat transfer and fluid flow in the hot section of gas turbines used in power generation: A comprehensive survey

2018

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“…In order to achieve better convergence, the differences between the values of wall temperature are calculated in each iteration. The calculation is eventually stopped when the convergence criteria for this temperate difference become less than 10 25 . The details are provided in the next subsections.…”

Section: The Present Cht Solution Algorithmmentioning

confidence: 99%

Internal cooling sensitivity analysis to improve the thermal performance of gas turbine blade using a developed robust conjugate heat transfer method

Darbandi

Jalali

2022

International Journal of Engine Research

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The heat transfer simulations of turbine blades with internal cooling are faced with so many uncertainties, of which some originate from the secondary air system, including the inlet hot gas temperature and pressure and the cooling side boundary conditions, and the blade material. The main objective of this work is to carry out a suitable sensitivity analysis on a specific novel turbine vane to improve the thermal performance of its internal cooling system and to quantify how the uncertainties on the designed/calculated values can desirably/undesirably affect the maximum blade surface temperature, which can consequently affect the gas turbine engine efficiency. Furthermore, the sensitivity analysis is carried out to find the effects of uncertainties of a number of key parameters on the resulting blade temperature distribution. To arrive at trustworthy conclusions, the conjugate heat transfer (CHT) method is used to analyze the heat and fluid flow behavior. This work suitably develops a CHT-based method/solver to perform the proposed study. This method/solver uses a segregated iterative procedure, in which the outer hot gas region is simulated using the computational fluid dynamics (CFD) solver, the flow passing through the connected internal cooling passages is calculated using a 1D correlated-based solver, and the vane conduction is predicted using a 3D finite-element solver, which are fully coupled. The results show that the cooling channel wall temperature has a direct impact on the convective coefficient magnitude; especially in lower temperature regions. As a novel contribution, this work takes into account the cooling wall temperature influence on the 1D code calculations. To implement this, an artificial neural network is suitably trained to predict better convective coefficient. The results of this developed CFD-CHT code are validated against experimental data available for a benchmark vane. Eventually, the sensitivity analysis is carried on the present specific novel turbine vane.

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“…R ESEARCH investment in metal effectiveness (or overall cooling effectiveness) measurement techniques has been driven by the desire to accurately assess the overall thermal performance of nozzle guide vanes or turbine blades at engine-realistic conditions [1][2][3][4][5][6]. The traditional approach of predicting overall thermal performance of such parts from a thermal model with boundary conditions obtained from separate experiments [7][8][9][10] has the disadvantage that errors in underlying measurements can accumulate in the final result. Additionally, certain coupling terms are inherently absent in the separated experiments, limiting the accuracy of the predicted performance, even in the absence of experimental errors.…”

Section: Nomenclaturementioning

confidence: 99%

Methods to Extract Underlying Boundary Conditions from Transient Metal Effectiveness Measurements

Michaud

Povey

2021

Journal of Thermophysics and Heat Transfer

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Metal effectiveness measurements (or overall cooling effectiveness measurements) are becoming increasingly used to understand complex coupled systems in gas turbine experimental research. Unlike traditional techniques in which individual boundary conditions are measured in isolation and superposed using a thermal model, metal effectiveness measurements give the final result of a complex coupled system. In correctly scaled experiments this allows aerothermal performance at near-engine conditions to be evaluated directly, and is thus powerful both as a research technique and for derisking engine development programs. The technique is particularly useful for evaluating the thermal performance of internally cooled turbine components, because of the complexity and degree of interaction of the underlying boundary conditions. An intrinsic limitation of metal effectiveness measurement data is that the individual boundary conditions (e.g., the internal and external heat transfer coefficients) cannot be directly obtained from the final measurement. Decoupling of these boundary conditions would allow deeper understanding of the systems that are the subject of experiments. The objective of this paper is to present methods to extract the individual underlying boundary conditions from data available in typical metal effectiveness experimental measurements, and to assess the uncertainty associated with decoupling techniques. Although we reference experimental data from advanced facilities for metal effectiveness research throughout, much of the analysis is performed using a low-order heat transfer model to allow the impact of experiment design and measurement errors to be clearly separated at each stage of the analysis.

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Features of a Cooling System Simulation Tool Used in Industrial Preliminary Design Stage

Cited by 18 publications

References 0 publications

Modelling of heat transfer and fluid flow in the hot section of gas turbines used in power generation: A comprehensive survey

Modelling of heat transfer and fluid flow in the hot section of gas turbines used in power generation: A comprehensive survey

Internal cooling sensitivity analysis to improve the thermal performance of gas turbine blade using a developed robust conjugate heat transfer method

Methods to Extract Underlying Boundary Conditions from Transient Metal Effectiveness Measurements

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