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Development of GPT-based optimization algorithm

Conference · · Trans. Am. Nucl. Soc.; (United States)
OSTI ID:5594433
The University of Lowell and Westinghouse Electric Corporation are involved in a joint effort to evaluate the potential benefits of generalized/depletion perturbation theory (GPT/DTP) methods for a variety of light water reactor (LWR) physics applications. One part of that work has focused on the development of a GPT-based optimization algorithm for the overall design, analysis, and optimization of LWR reload cores. The use of GPT sensitivity data in formulating the fuel management optimization problem is conceptually straightforward; it is the actual execution of the concept that is challenging. Thus, the purpose of this paper is to address some of the major difficulties, to outline our approach to these problems, and to present some illustrative examples of an efficient GTP-based optimization scheme.
Research Organization:
Univ. of Lowell, MA
OSTI ID:
5594433
Report Number(s):
CONF-851115-
Conference Information:
Journal Name: Trans. Am. Nucl. Soc.; (United States) Journal Volume: 50
Country of Publication:
United States
Language:
English