Turbine flexible operations with faster startups/shutdowns are required to accommodate emerging renewable power generations. A major challenge in transient thermal design and analysis is the time scale disparity. For natural cooling, the physical process is typically in hours, but on the other hand, the time-step sizes typically usable tend to be very small (subseconds) due to the numerical stability requirement for natural convection as often observed. An issue of interest is: What time-step sizes can and should be used in terms of stability as well as accuracy? In this work, the impact of flow temporal gradient and its modeling is examined in relation to numerical stability and modeling accuracy for transient natural convection. A source term-based dual-timing formulation is adopted, which is shown to be numerically stable for very large time-steps. Furthermore, a loosely coupled procedure is developed to combine this enhanced flow solver with a solid conduction solver for solving unsteady conjugate heat transfer (CHT) problems for transient natural convection. This allows very large computational time-steps to be used without any stability issues, and thus enables to assess the impact of using different time-step sizes entirely in terms of a temporal accuracy requirement. Computational case studies demonstrate that the present method can be run stably with a markedly shortened computational time compared to the baseline solver. The method is also shown to be more accurate than the commonly adopted quasi-steady flow model when unsteady effects are non-negligible.
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January 2018
Research-Article
Assessment of Unsteadiness Modeling for Transient Natural Convection
M. Fadl,
M. Fadl
Department of Engineering Science,
University of Oxford,
Oxford OX1 3PJ, UK
e-mail: m.s.fadl@lboro.ac.uk
University of Oxford,
Oxford OX1 3PJ, UK
e-mail: m.s.fadl@lboro.ac.uk
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G. Marinescu
G. Marinescu
GE Power,
Baden 5400, Switzerland
Baden 5400, Switzerland
Search for other works by this author on:
M. Fadl
Department of Engineering Science,
University of Oxford,
Oxford OX1 3PJ, UK
e-mail: m.s.fadl@lboro.ac.uk
University of Oxford,
Oxford OX1 3PJ, UK
e-mail: m.s.fadl@lboro.ac.uk
L. He
P. Stein
GE Power,
Baden 5400, Switzerland
Baden 5400, Switzerland
G. Marinescu
GE Power,
Baden 5400, Switzerland
Baden 5400, Switzerland
1Present address: CREST, Loughborough University, Loughborough, UK, LE11 3TU.
2Corresponding author.
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received July 6, 2017; final manuscript received July 11, 2017; published online September 26, 2017. Editor: David Wisler.
J. Eng. Gas Turbines Power. Jan 2018, 140(1): 012605 (10 pages)
Published Online: September 26, 2017
Article history
Received:
July 6, 2017
Revised:
July 11, 2017
Citation
Fadl, M., He, L., Stein, P., and Marinescu, G. (September 26, 2017). "Assessment of Unsteadiness Modeling for Transient Natural Convection." ASME. J. Eng. Gas Turbines Power. January 2018; 140(1): 012605. https://doi.org/10.1115/1.4037721
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