Synthesizing optimal design configurations for a brayton cycle power plant

Abstract This paper demonstrates the use of the simulated annealing method for the analysis of design configurations for a Brayton cycle power plant. This application centers around a sequential modular chemical process simulator, the Space Nuclear Auxiliary Power System (SNAPS), designed to simulate the operation of power plants with different energy conversion techniques, to find optimal characteristics constrained by feasibility limitations, and to design the plant for maximum flexibility and reliability. The modular nature of SNAPS allows for the analysis of numerous configurations of nuclear power plants. Since the solution space is characterized by a large number of design and structural parameter combinations, it demonstrates the successful applicability of simulated annealing as a synthesis tool for nuclear power plant design problems. Simulated annealing is found to perform very well in the face of a large number of discontinuities in the solution space.

[1]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[2]  Ignacio E. Grossmann,et al.  Prosyn—an MINLP process synthesizer , 1990 .

[3]  H. Das,et al.  Scheduling of serial multiproduct batch processes via simulated annealing , 1990 .

[4]  Omprakash K. Gupta.  Branch and bound experiments in nonlinear integer programming , 1980 .

[5]  N. E. Collins,et al.  Simulated annealing - an annotated bibliography , 1988 .

[6]  Christodoulos A. Floudas,et al.  APROS: Algorithmic Development Methodology for Discrete-Continuous Optimization Problems , 1989, Oper. Res..

[7]  Ignacio E. Grossmann,et al.  Computational experience with dicopt solving MINLP problems in process systems engineering , 1989 .

[8]  Cecilia R. Aragon,et al.  Optimization by Simulated Annealing: An Experimental Evaluation; Part I, Graph Partitioning , 1989, Oper. Res..

[9]  I. Grossmann,et al.  A combined penalty function and outer-approximation method for MINLP optimization : applications to distillation column design , 1989 .

[10]  Edward S. Rubin,et al.  An MINLP process synthesizer for a sequential modular simulator , 1992 .

[11]  Ignacio E. Grossmann,et al.  Simultaneous optimization and heat integration of chemical processes , 1986 .

[12]  Urmila M. Diwekar,et al.  Space nuclear power plants—I , 1993 .

[13]  Peter T. Cummings,et al.  Process optimization via simulated annealing: Application to network design , 1989 .

[14]  Edward S. Rubin,et al.  Efficient handling of the implicit constraints problem for the ASPEN MINLP synthesizer , 1993 .

[15]  Ignacio E. Grossmann,et al.  Mixed-integer nonlinear programming techniques for the synthesis of engineering systems , 1990 .