Project Details
Projekt
Mathematical optimization of operating conditions in chemical energy conversion in piston engines
Applicant
Professor Dr. Olaf Deutschmann
Subject Area
Energy Process Engineering
Technical Chemistry
Technical Chemistry
Term
from 2013 to 2022
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 229243862
The common goal of the research group is to investigate the production of useful basic chemicals from raw materials such as natural gas in a piston engine while simultaneously providing heat and mechanical work. Examples of such target chemicals are synthesis gas (hydrogen and carbon monoxide), olefins and higher hydrocarbons. The subject of this project GM 3 is the mathematically based optimization of the chemical conversion under engine conditions. Theory-guided, promising operating conditions will be identified and verified in the experiment-oriented projects (MM1, MM2).In this third funding period, both material and methodological developments will take place. Based on the very successful investigations on CO2 reforming to synthesis gas in piston engines in the second funding period, ozone instead of DME will be used as an additive to increase the synthesis gas yield. In terms of reaction engineering, the extent to which this process can be operated endothermically and used for energy storage is being investigated, i.e. to what extent excess electricity can be used to generate higher-quality products from CO2 in a piston engine. This study expands the range of applications for piston engines compared to the first two funding periods. For mathematical optimization, the elementary reaction mechanisms newly developed in project GM1 will be used in the planned investigations. In a methodical further development of the approach used so far, multi-compression-expansion processes will be included in the numerical simulation and mathematical optimization. In addition, the optimization tools developed will be applied to the optimal control of the experimental conditions in the flow reactor used in project GV1 at higher pressure and the recirculation of reactants in project GM2. In this third funding period, the recently developed software platform CaRMeN will be used systematically. This allows not only an efficient archiving of kinetic data from theoretical and experimental investigations, but also their automated analysis. The use of CaRMeN thus contributes significantly to accelerating model development and the search for optimized parameters. New concepts for research data management are being developed for the cross-project application of CaRMeN with the aim of making all the results obtained in the research group available to the general public.
DFG Programme
Research Units
