• search hit 47 of 153
Back to Result List

Optimizing the design of complex energy conversion systems by Branch and Cut

Please always quote using this URN:urn:nbn:de:0296-matheon-9814
  • 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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Stefan Vigerske
URN:urn:nbn:de:0296-matheon-9814
Referee:Werner Römisch
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2012/01/16
Release Date:2012/01/16
Tag:Cogeneration plant; Convex relaxation; Energy conversion system; Global optimization; Mixed-integer nonlinear programming
Institute:Humboldt-Universität zu Berlin
Technische Universität Berlin
MSC-Classification:90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Cxx Mathematical programming [See also 49Mxx, 65Kxx] / 90C26 Nonconvex programming, global optimization
Preprint Number:860
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.