TY  - CHAP
A1  - Meck, Marvin M.
A1  - Müller, Tim M.
A1  - Altherr, Lena
A1  - Pelz, Peter F.
T1  - Improving an industrial cooling system using MINLP, considering capital and operating costs
T2  - Operations Research Proceedings 2019
N2  - The chemical industry is one of the most important industrial sectors in Germany in terms of manufacturing revenue. While thermodynamic boundary conditions often restrict the scope for reducing the energy consumption of core processes, secondary processes such as cooling offer scope for energy optimisation. In this contribution, we therefore model and optimise an existing cooling system. The technical boundary conditions of the model are provided by the operators, the German chemical company BASF SE. In order to systematically evaluate different degrees of freedom in topology and operation, we formulate and solve a Mixed-Integer Nonlinear Program (MINLP), and compare our optimisation results with the existing system.
KW  - Engineering optimisation
KW  - Mixed-integer programming
KW  - Industrial optimisation
KW  - Cooling system
KW  - Process engineering
Y1  - 2020
SN  - 978-3-030-48438-5 (Print)
SN  - 978-3-030-48439-2 (Online)
U6  - http://dx.doi.org/10.1007/978-3-030-48439-2_61
N1  - Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019.
SP  - 505
EP  - 512
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Kreyer, Jörg
A1  - Müller, Marvin
A1  - Esch, Thomas
T1  - A Calculation Methodology for Predicting Exhaust Mass Flows and Exhaust Temperature Profiles for Heavy-Duty Vehicles
JF  - SAE International Journal of Commercial Vehicles
N2  - The predictive control of commercial vehicle energy management systems, such as vehicle thermal management or waste heat recovery (WHR) systems, are discussed on the basis of information sources from the field of environment recognition and in combination with the determination of the vehicle system condition.
In this article, a mathematical method for predicting the exhaust gas mass flow and the exhaust gas temperature is presented based on driving data of a heavy-duty vehicle. The prediction refers to the conditions of the exhaust gas at the inlet of the exhaust gas recirculation (EGR) cooler and at the outlet of the exhaust gas aftertreatment system (EAT). The heavy-duty vehicle was operated on the motorway to investigate the characteristic operational profile. In addition to the use of road gradient profile data, an evaluation of the continuously recorded distance signal, which represents the distance between the test vehicle and the road user ahead, is included in the prediction model. Using a Fourier analysis, the trajectory of the vehicle speed is determined for a defined prediction horizon.
To verify the method, a holistic simulation model consisting of several hierarchically structured submodels has been developed. A map-based submodel of a combustion engine is used to determine the EGR and EAT exhaust gas mass flows and exhaust gas temperature profiles. All simulation results are validated on the basis of the recorded vehicle and environmental data. Deviations from the predicted values are analyzed and discussed.
Y1  - 2020
U6  - http://dx.doi.org/10.4271/02-13-02-0009
SN  - 1946-3928
VL  - 13
IS  - 2
SP  - 129
EP  - 143
PB  - SAE International
CY  - Warrendale, Pa.
ER  - 
TY  - CHAP
A1  - Kreyer, Jörg
A1  - Müller, Marvin
A1  - Esch, Thomas
T1  - A Map-Based Model for the Determination of Fuel Consumption for Internal Combustion Engines as a Function of Flight Altitude
T2  - Deutscher Luft- und Raumfahrtkongress 2019, „Luft- und Raumfahrt –  technologische Brücke in die Zukunft“,  Darmstadt, 30. September bis 2. Oktober 2019
Y1  - 2020
U6  - http://dx.doi.org/10.25967/490162
PB  - Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V
CY  - Bonn
ER  -