Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 34, Issue 8, Pages 1226-1236Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2010.03.007
Keywords
Cogeneration plant; Energy conversion system; Design optimization; Global optimization; Mixed-integer nonlinear programming; Convex relaxation
Funding
- German Science Foundation (DFG) [421/2-1, TS 79/1-1, TS 79/1-3]
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The paper examines the applicability of mathematical programming methods to the simultaneous optimization of the structure and the operational parameters of a combined-cycle-based cogeneration plant. The optimization problem is formulated as a nonconvex mixed-integer nonlinear problem (MINLP) and solved by the MINLP solver LaGO. The algorithm generates a convex relaxation of the MINLP and applies a Branch and Cut algorithm to the relaxation. Numerical results for different demands for electric power and process steam are discussed and a sensitivity analysis is performed. (C) 2010 Elsevier Ltd. All rights reserved.
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