Optimization of a Complex Energy Conversion Plant II


In this project, basic tools for the optimization of the draft of complex energy conversion plants are being developed.These methods are used for the analysis of a plant and for the development of a superstructure, which describes the interconnection of all the equipment components in the plant. We compare these techniques and combine them if possible to optimize the energy conversion system, i.e. to minimize the total product cost, or to maximize the thermodinamic efficiency. 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 cutting plane and/or a branch-and-cut 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.


Principal investigators
Nowak, Ivo Dr. rer. nat. (Details) (Numerical Mathematics II)

Financer
DFG: Sachbeihilfe

Duration of project
Start date: 10/2003
End date: 06/2004

Last updated on 2022-07-09 at 23:05