DOI QR코드

DOI QR Code

Study on the Structure Optimization and the Operation Scheme Design of a Double-Tube Once-Through Steam Generator

  • Wei, Xinyu (Department of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Wu, Shifa (Department of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Wang, Pengfei (Department of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Zhao, Fuyu (Department of Nuclear Science and Technology, Xi'an Jiaotong University)
  • Received : 2015.10.19
  • Accepted : 2016.02.22
  • Published : 2016.08.25

Abstract

A double-tube once-through steam generator (DOTSG) consisting of an outer straight tube and an inner helical tube is studied in this work. First, the structure of the DOTSG is optimized by considering two different objective functions. The tube length and the total pressure drop are considered as the first and second objective functions, respectively. Because the DOTSG is divided into the subcooled, boiling, and superheated sections according to the different secondary fluid states, the pitches in the three sections are defined as the optimization variables. A multi-objective optimization model is established and solved by particle swarm optimization. The optimization pitch is small in the subcooled region and superheated region, and large in the boiling region. Considering the availability of the optimum structure at power levels below 100% full power, we propose a new operating scheme that can fix the boundaries between the three heat-transfer sections. The operation scheme is proposed on the basis of data for full power, and the operation parameters are calculated at low power level. The primary inlet and outlet temperatures, as well as flow rate and secondary outlet temperature are changed according to the operation procedure.

Keywords

References

  1. International Atomic Energy Agency (IAEA), Advances in small modular reactor technology developments, IAEA, Austria, 2014.
  2. Z. Liu, J. Fan, Technology readiness assessment of small modular reactor (SMR) designs, Prog. Nucl. Energy 70 (2014) 20-28. https://doi.org/10.1016/j.pnucene.2013.07.005
  3. S. Kang, B. Patil, J.A. Zarate, R.P. Roy, Isothermal and heated turbulent upflow in a vertical annular channel-part I. Experimental measurements, Int. J. Heat Mass Transfer 44 (2001) 1171-1184. https://doi.org/10.1016/S0017-9310(00)00150-2
  4. J.A. Zarate, R.P. Roy, A. Laporta, Isothermal and heated turbulent upflow in a vertical annular channel-part II. Numerical simulations, Int. J. Heat Mass Transfer 44 (2001) 1185-1199. https://doi.org/10.1016/S0017-9310(00)00151-4
  5. Z. Wang, R. Liu, D. Jia, G. Su, S. Qiu, Heat transfer of super gas in narrow annular gap, J. Xi'an Jiaotong U. 36 (2002) 697-700.
  6. M. Chen, R. Li, B. Li, A design of compact and enhanced heat enhanced heat exchanger used in integrated nuclear reactor, 18th International Conference on Structural Mechanics in Reactor Technology, Beijing, China, 2005.
  7. J. Yu, B. Jia, Thermal hydraulic analysis of double-side heating once-through steam generator with helical tubes, Chin. J. Nucl. Sci. Eng. 26 (2006) 57-62.
  8. L.H. Costa, M. Queiroz, Design optimization of shell-and-tube heat exchangers, Appl. Therm. Eng. 28 (2008) 1798-1805. https://doi.org/10.1016/j.applthermaleng.2007.11.009
  9. K.R. Rao, U. Shrinivasa, J. Srinivasan, Synthesis of cost optimal shell-and-tube heat exchangers, Heat Transfer Eng. 12 (3) (1991) 47-55. https://doi.org/10.1080/01457639108939756
  10. M. Fesanghary, E. Damangir, I. Soleimani, Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm, Appl. Therm. Eng. 29 (2009) 1026-1031. https://doi.org/10.1016/j.applthermaleng.2008.05.018
  11. J.M. Ponce-Ortega, M. Serna-Gonzalez, A. Jimenez-Gutierrez, Use of genetic algorithms for the optimal design of shelland-tube heat exchangers, Appl. Therm. Eng. 29 (2009) 203-209. https://doi.org/10.1016/j.applthermaleng.2007.06.040
  12. E. Johannessen, L. Nummedal, S. Kjelstrup, Minimizing the entropy production in heat exchange, Int. J. Heat Mass Transfer 45 (2002) 2649-2654. https://doi.org/10.1016/S0017-9310(01)00362-3
  13. M.N. Ab Wahab, S. Nefti-Meziani, A. Atyabi, A comprehensive review of swarm optimization algorithms, PLoS One 10 (2015) 1-36.
  14. M. Akeari, F. Khoshahval, A. Minuchehr, A. Zolfaghari, A novel approach to find optimized neutron energy group structure in MOX thermal lattices using swarm intelligence, Nucl. Eng. Technol. 45 (2013) 951-960. https://doi.org/10.5516/NET.01.2012.005
  15. W.Z. Ibrahim, Particle swarm optimization to the U-tube steam generator in the nuclear power plant, Nucl. Eng. Des. 280 (2014) 94-98. https://doi.org/10.1016/j.nucengdes.2014.09.031
  16. B.A. Lee, B.S. Kim, M.S. Ko, K.Y. Kim, S. Kim, Electrical resistance imaging of two-phase flow with a mesh grouping technique based on particle swarm optimization, Nucl. Eng. Technol. 46 (2014) 109-116. https://doi.org/10.5516/NET.02.2013.038
  17. X. Wei, C. Dai, Y. Tai, F. Zhao, Multi-objective optimization of double-tube once-through steam generator, J. Heat Transfer 134 (2012) 071801. https://doi.org/10.1115/1.4006102
  18. H. Fang, X. Wei, F. Zhao, Structural optimization of doubletube once-through steam generator using Pontryagin's maximum principle, Prog. Nucl. Energy 78 (2015) 318-329. https://doi.org/10.1016/j.pnucene.2014.09.008
  19. V.M. Budov, S.M. Dmitriev, Heat transfer enhancement in narrow annuli, Two-Phase Flow Energy Mach. 3 (1985) 122-124.
  20. V.M. Budov, S.M. Dmitriev, Influence of the helical flow on the bilaterally heated channels, Issues At. Sci. Technol. 6 (1987) 72-76.
  21. Z.L. Gaing, A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Trans. Energy Appar. Syst. 19 (2004) 384-391.
  22. P.K. Tripathi, S. Bandyopadhyay, S.K. Pal, Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients, Inf. Sci. 177 (2007) 5033-5049. https://doi.org/10.1016/j.ins.2007.06.018
  23. R. Coban, Power level control of the TRIGA mark-II research reactor using the multi feedback layer neural network and the particle swarm optimization, Ann. Nucl. Energy 69 (2014) 260-266. https://doi.org/10.1016/j.anucene.2014.02.019
  24. O. Safarzadeh, A. Zolfaghari, M. Zangian, O. Noori-kalkhoran, Pattern optimization of PWR reactor using hybrid parallel artificial bee colony, Ann. Nucl. Energy 63 (2014) 295-301. https://doi.org/10.1016/j.anucene.2013.08.011
  25. W. Wagner, J.R. Cooper, A. Dittmann, J. Kijima, H.J. Kretzschmar, A. Kruse, R. Mares, K. Oguchi, H. Sato, Y. Takaishi, I. Tanishita, J. Trubenbach, T. Willkommen, The IAPWS industrial formulation 1997 for the thermodynamic properties of water and steam, J. Eng. Gas Turbines Power 122 (2000) 150-182. https://doi.org/10.1115/1.483186