High efficient steam turbine design based on automated design space exploration and optimization techniques

Abstract

Due to the worldwide increasing demand for energy and the simultaneous need in reduction of CO2 emissions in order to meet global climate goals, the development of clean and low emission energy conversion systems becomes an essential and challenging task within the future clean energy map. In this paper the design process of a highly efficient large scale USC steam turbine is presented. Thereby, automated design space exploration based on an optimization algorithm is applied to support the identification of optimal flow path parameters within the preliminary and the detailed design phases. The optimization algorithm is first integrated with a 1D-mean line design code to automatically identify the optimal major turbine layout in terms of number of stages, reaction degrees, flow path geometry and basic airfoil parameters. Based on a progressive multi-section optimization coupled with a parametric airfoil generator and a CFD code, the profile shapes of each airfoil row are adapted to local flow conditions and systematically optimized to minimize aerodynamic losses in each turbine stage. A final 3D flow simulation of one representative optimized stage confirms the achievement of a highly efficient steam turbine design that fulfills both climatic and economic requirements. KEYWORDS STEAM TURBINE, DESIGN, AUTOMATED DESIGN SPACE EXPLORATION, NOMENCLATURE 1D one dimensional 2D two dimensional 3D three dimensional BC boundary condition c chord length CFD computational fluid dynamics d diameter i incidence M Mach number r radius h blade height h static enthalpy u rotational speed USC ultra-supercritical Greek Symbols absolute flow angle relative flow angle isentropic efficiency (= Δℎ (Δℎ + Δℎ)) ⁄ stagger angle loss coefficient (= 2Δℎ / 2 2) ℎ degree of reaction (ℎ = Δℎ Δℎ ⁄) flow coefficient (= / 2) ℎ stage enthalpy coefficient (ℎ = 2Δℎ/ 2 2)

Automated 2D Airfoil Optimization of Intentionally Choked Blades

“…Well-defined parameters, which described those flow patterns, are crucial for the analysis of an optimizationtask and for the success of an optimization process. The content of this paper is based and related to previous studies of the development of an automated design process which features blade to blade (B2B) optimizations performed by the authors and presented by Weidtmann et al (2017). The extended approach of a 2D B2B optimization (Braining et al, 2018) is used as basic approach for the implementation of criteria to adopt an automated optimization approach for intentionally choked blades.…”

Improvement of the high pressure cylinder of the turbine K-1000-60/1500-2 of the Balakovo NPP 4-th block

“…Аналогічні програми реалізовані на АЕС «Пакш» в Угорщині, з підвищенням теплової потужності до 108%, на АЕС «Богуніце» в Словаччині -до рівня 104%, на АЕС «Моховце» в Словаччині -до рівня 107%. Дуже багато робіт у світі присвячено дослідженням вчених з підвищення ефективності турбін [4][5][6][7][8][9].…”