Performance analysis of a multi-stage ultra-supercritical steam turbine using computational fluid dynamics

Jang, Hyuck Jun; Kang, Soo Young; Lee, Jeong Jin; Kim, Tong Seop; Park, Seong Jin

doi:10.1016/j.applthermaleng.2015.05.007

Cited by 38 publications

(13 citation statements)

References 19 publications

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“…With the development of the finite element method and computational fluid dynamics technology (Bhagi et al, 2018;Prabhunandan and Byregowda, 2018;Shukla and Harsha, 2015;Brahimi and Ouibrahim, 2016;Hashemian et al, 2020;Jang et al, 2015;Francesco et al, 2017), iterative solutions of the pre-deformation design method based on numerical calculations have gradually been used in blade analysis and optimal design (Noori Rahim Abadi et al, 2017;Obert and Cinnella, 2017;Pascoa et al, 2009;Hou et al, 2019;Li et al, 2019;Jiang et al, 2019;Yi et al, 2020a, b). With these methods, the construction of a hot shape and the correction of a cold shape are alternately and repeatedly executed in the pre-deformation design process.…”

Section: Introductionmentioning

confidence: 99%

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Zhou

Wang

et al. 2021

Mech. Sci.

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Abstract. The deformation of blades under complex loads of multiple working conditions will reduce the energy conversion efficiency. To reduce the deviation of the blade shape in practical working conditions, a combination and optimization method of blade design schemes under multiple working conditions, based on the entropy weight vague sets, is proposed. The sensitivity of each working condition index is analyzed based on the information entropy, and the satisfaction degree of the design scheme based on the design requirements and experiences is described with the vague set. The matching degree of different design schemes for multiple working conditions is quantified according to the scoring function. The combination and optimization of the design scheme are verified by numerical simulation analysis. The results show that the proposed design scheme has a smaller blade shape deviation than the traditional design scheme under multiple working conditions.

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Section: Introductionmentioning

confidence: 99%

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Zhou

Wang

et al. 2021

Mech. Sci.

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“…The implementation of A-USC conditions extorts the development of subsequent PP elements-for example, new steam turbines [6,7] and high performance boilers [8]-and the implementation of alternative technical solutions, such as boilers equipped with fluidised beds [9][10][11]. An increase in live steam conditions cannot be achieved without intervening in the structure of a thermal cycle or without the changing of local parameters.…”

Section: Introductionmentioning

confidence: 99%

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

et al. 2020

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This paper demonstrates the use of a combined software package including IPSEpro and MATLAB in the optimisation of a modern thermal cycle. A 900 MW power plant unit (operating at ultra-supercritical conditions) was considered as the study object. The Nelder-Mead simplex-based, direct search method was used to increase power plant efficiency and to find the optimal thermal cycle configuration. As the literature reveals, the Nelder-Mead approach is very sensitive to the simplex size and to the choice of method coefficients, i.e., reflection, expansion and contraction. When these coefficients are improperly chosen, the finding of the optimal solution cannot be guaranteed, particularly in such complex systems as thermal cycles. Hence, the main goal of the present work was to demonstrate the capability of an integrated software package including IPSEpro, MATLAB and MS Excel in the optimisation process of a complex thermal cycle, as well as to examine the effectiveness of the most popular sets of Nelder-Mead coefficients previously proposed by other researchers. For the investigation purposes, the bleed and outlet pressures from the turbines were considered as decision variables, and the power plant efficiency was used as an objective function.

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“…Based on the research on mathematical modeling [8,9], simulation analysis [10,11], and performance prediction [12,13] of steam turbines, some design methods for the ideal blade shape have been proposed as follows: an eco-design approach for achieving eco-innovative solutions of the turbine blades [7], a reverse-engineering approach of turbine blades for efficiently generating accurate product computer-aided design (CAD) models [14], a modular building block approach for describing the different types of steam turbine blades in detail regarding their geometry and loading [15], a three-dimensional design optimization of steam turbine blades for aerodynamic efficiency enhancement of blades and turbine stages [16], a 3D optimization design method based on an artificial neural network and a genetic algorithm for the rotating blades in a highly loaded turbine [17], and a 3D prescribed surface curvature distribution design method for the high-efficiency turbomachinery blades [18].…”

Section: Introductionmentioning

confidence: 99%

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

Zhou

Qiu

et al. 2020

Energies

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The blades in the low-pressure stage of a steam turbine must be reverse engineered according to the ideal blade shape due to the deformation of the blade during operation. A numerical analysis model of the flow field of the blades is proposed, and the model is solved by alternating between the fluid domain and the solid domain. Considering the imbalance of the load acting on the blade surface and the change in the blade stiffness matrix when the steam turbine is running, the Newton–Raphson method is used to calculate the pressure of the steam fluid on the blade surface and the change in the flow field caused by the blade deformation in each time step. The data are exchanged between the fluid domain and the solid domain after a single-step solution is completed. The simultaneous changes in the fluid domain and the solid domain are discretized in very short time steps, and the process of the blade deformation from stationary to running is simulated by accumulating the time steps. Finally, the trends in the change in the blade deformation and the aerodynamic load during the deformation process are analyzed according to the result of the reconstruction of the blade shape.

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Performance analysis of a multi-stage ultra-supercritical steam turbine using computational fluid dynamics

Cited by 38 publications

References 19 publications

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Scheme optimization for a turbine blade under multiple working conditions based on the entropy weight vague set

Power Plant Optimisation—Effective Use of the Nelder-Mead Approach

Hot Blade Shape Reconstruction Considering Variable Stiffness and Unbalanced Load in a Steam Turbine

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