Project supported by the German Research Foundation,
Deutsche Forschungsgemeinschaft (DFG)
Cooperation between Humboldt University Berlin and Technical University Berlin
Contents |
Prof. Dr.-Ing. G. Tsatsaronis | |
Technical University of Berlin
Institute for Energy Engineering Marchstr. 18 10587 Berlin |
Tel.: (030) 314 24776
Fax: (030) 314 21683 e-mail: tsatsaronis@iet.tu-berlin.de |
Dr. rer. nat. Ivo Nowak | |
Humboldt-University Berlin
Institute for Mathematics Unter den Linden 6 10099 Berlin |
e-mail: ivo@mathematik.hu-berlin.de |
Prof. Dr. sc. nat. Werner Römisch | |
Humboldt-University Berlin
Institute for Mathematics Unter den Linden 6 10099 Berlin |
Tel.: (030) 2093 2561
Fax: (030) 2093 2232 e-mail: romisch@mathematik.hu-berlin.de |
Dr.-Ing. Frank Cziesla | |
Technical University of Berlin
Institute for Energy Engineering Marchstr. 18 10587 Berlin |
Tel.: (030) 314 21737
Fax: (030) 314 21683 e-mail: f.cziesla@iet.tu-berlin.de |
Hernán Alperin | |
Humboldt-University Berlin
Institute for Mathematics |
e-mail: alpe@mathematik.hu-berlin.de |
Turang Ahadi-Oskui | |
Technical University of Berlin
Institute for Energy Engineering Marchstr. 18 10587 Berlin |
Tel.: (030) 314 23281
Fax: (030) 314 21683 e-mail: oskui@iet.tu-berlin.de |
Stefan Vigerske | |
Humboldt-University Berlin
Institute for Mathematics Rudower Chaussee 25 D-12489 Berlin |
Tel.: (030) 2093 5498
Fax: (030) 2093 2232 |
Lea Boche | |
Technical University of Berlin
Institute for Energy Engineering Marchstr. 18 10587 Berlin |
Tel.: (030) 314 24357
Fax: (030) 314 21683 e-mail: boche@buran.fb10.tu-berlin.de |
Sina Block | |
Technical University of Berlin
Institute for Energy Engineering Marchstr. 18 10587 Berlin |
Tel.: (030) 314 24357
Fax: (030) 314 21683 e-mail: sina@olymp.fb10.tu-berlin.de |
Special emphasis is focused on the development and use of solution methods for MINLP. In particular, nonlinear and linear relaxations of MINLP are developed, which are improved using a Branch-Cut-and-Price algorithm. For that purpose, a Lagrangian Global Optimization (LaGO) algorithm is being developed to solve general MINLP. Relaxations are used for the generation of local solutions and lower bounds of the optimum value. The particular structure of the problem permits the use of decomposition methods, which are suitable for the solution of large structured optimization problems.
The mentioned method is applied to a practical relevant example of a paper factory. Among other things, the influence of uncertainty in the cost data will be studied. The software developed in this project offers also multiple applications into different ranges, e.g. energy engineering, power plant technology and process engineering.