Institute of Plant and Process Technology Modeling and simulation of chemical processes, equipment design, thermodynamic property data validating numerical models for the maldistribution behavior of packed n In 2015 the focus of research columns could be achieved. at the Institute of Plant and The new high pressure phase equilibrium test Process Technology was the rig was operated in 2015 over the whole year to energy efficient design of chemical determine the important influence of water on production processes as well as the solubility of technical solvents such as innovative design methods for process methanol and glycol ethers. Reliable analytical equipment. After commis- sioning the and synthetic measurement techniques were 1.2 m diameter packed bed test applied such that gaps in the literature of column in 2014 the technically important solubility data could be gas capacity of the column was closed. Prof. Dr.-Ing. successfully increased in 2015. Harald Klein Extensive experimental measure- ment campaigns were successfully Contact conducted and valuable data for Packed column test rig (1.2 m diameter) Phone +49.89.289.16501 Process Design The limited availability of fossil resources is flexible and customizable optimization platform that is combined with process leading to an increased demand for energy simulators for an efficient problem setup. To efficient processes. For this task optimization is a key discipline that aids engineers with achieve this a hybrid approach is chosen. MATLAB is used for optimization since a designing new processes variety of local and global optimization routines are available directly or as third party library. As an example, the hybrid New hybrid approach for process optimization approach is used to obtain an optimal synthesis gas production for methanol or revamping existing plants. Process simulations are usually performed with commercial synthesis with respect to operating expenses. programs, which allow fast and reliable simulation setups but have limited capabilities The increased number of objective function for optimization. An innovative option would be to use the benefits of both methods; a calls due to gradient
Institute of Plant and Process Technology Modeling and simulation of chemical processes, equipment design, thermodynamic property data Prof. Dr.-Ing. Harald Klein Contact Phone +49.89.289.16501 n In 2015 the focus of research at the Institute of Plant and Process Technology was the energy efficient design of chemical production processes as well as innovative design methods for process equipment. After commis- sioning the 1.2 m diameter packed bed test column in 2014 the gas capacity of the column was successfully increased in 2015. Extensive experimental measure- ment campaigns were successfully conducted and valuable data for validating numerical models for the maldistribution behavior of packed columns could be achieved. The new high pressure phase equilibrium test rig was operated in 2015 over the whole year to determine the important influence of water on the solubility of technical solvents such as methanol and glycol ethers. Reliable analytical and synthetic measurement techniques were applied such that gaps in the literature of technically important solubility data could be closed. Packed column test rig (1.2 m diameter) Process Design The limited availability of fossil resources is leading to an increased demand for energy efficient processes. For this task optimization is a key discipline that aids engineers with designing new processes New hybrid approach for process optimization or revamping existing plants. Process simulations are usually performed with commercial programs, which allow fast and reliable simulation setups but have limited capabilities for optimization. An innovative option would be to use the benefits of both methods; a flexible and customizable optimization platform that is combined with process simulators for an efficient problem setup. To achieve this a hybrid approach is chosen. MATLAB is used for optimization since a variety of local and global optimization routines are available directly or as third party library. As an example, the hybrid approach is used to obtain an optimal synthesis gas production for methanol synthesis with respect to operating expenses. The increased number of objective function calls due to gradient