Optimization of Gas Turbine Using Nlp Model

In the simultaneous heat and power integration approach with additional production the optimization problem is formulated using superstructure. Nonlinear programming (NLP) contains equations enabling structural and parametric optimization. In the present work the NLP model is formulated with the optimum energy target of the process integration and generation of electricity using a gas turbine. The reactor is acting as a combustion chamber of the gas turbine plant. The simultaneous NLP approach can account for capital cost, integration of combined heat and power, process modification and additional production trade-offs accurately and can thus yield better solution. The simultaneous NLP gives better results as the other nonsimultaneous methods. The approach has been illustrated by a complex methanol production process. The objective function has increased the annual profit by 2,59 MEUR/a.