Cutting-edge research is guaranteed thanks to top-level researchers, international networking, multidisciplinarity, and a unique large engine test bed infrastructure. We conduct research on sustainable large engines in the five research areas Combustion & Fuels, Engine Components and Sensorics, Data Analytics and Controls, Integrated Systems and Simulation-based Development, where by the Simulation-based Development area operates across domains. With the COMET Module LEC HybTec, the research focus is even more on the integration of big data methods in order to map phenomena that could not be modeled so far.
COMET RESEARCH AREAS
Combustion & Fuels
- Engine concepts for renewable, electricity-based fuels
- Zero-impact emissions combustion concepts
- Fuel-flexible combustion systems and retrofit solutions
- System requirements and assessment of new technology concepts
The decarbonization of the world’s energy sectors also requires a fuel transformation for large engine applications in high-power systems. Use of net-zero carbon fuels while providing zero-impact emissions regarding climate change and air quality and still delivering high power density and high overall efficiency are the challenges that new and already existing energy and transportation systems are facing.
This research area aims to lay the scientific foundation for the development of combustion processes for green fuels such as hydrogen, ammonia, and methanol and to develop combustion systems for spark-ignition and compression ignition engine concepts. Experimental validation of new concepts, injection technologies and new actuators on single cylinder research engines and the transfer of these concepts to multicylinder engines are at the core of the research activities.
Area Manager: Dr. Nicole Wermuth
Engine Components and Sensorics
The area Engine Components and Sensorics is entirely dedicated to engine reliability and durability, especially with regard to future fuels, and develops highly innovative monitoring instruments for engine components and lubricants.
- Monitoring and assessment of highly stressed engine components
- Development of specific sensor solutions and condition-based maintenance applications
- Experimental and simulation-based investigations on the tribological behavior of the core engine
- Expertise in terms of lubricant consumption measurement and chemical analysis of the interaction between oil, engine components, fuels and combustion concepts
Modern high-performance large engine systems for various applications must have a very high power density and be multi-fuel capable. However, these requirements bring challenges in terms of reliability, durability and maintenance costs. Increasing power output, which leads to very high peak pressures in the cylinders and high loads on the individual components, adds to the complexity. In addition, the use of new fuels may require optimization of existing components.
To this end, our interdisciplinary team contributes to solving these challenges by developing novel sensor solutions embedded in telemetry systems developed on demand, improving tribological simulations and experiments, and optimizing the lubrication situation for the challenges of using future fuels.
Area Manager: Dr. Michael Engelmayer
The area Integrated Systems is active in environmentally friendly system solutions for the energy and transportation sector based on the optimal integration of all subsystems into the respective overall systems, with a focus in the following fields:
- Catalyst technology and exhaust gas aftertreatment systems
- Carbon capture, storage and utilization technologies
- Techno-economic evaluation and optimization of overall systems
- Demonstration of sub-systems and overall systems on the engine system test bed
Establishing large engines as part of an ecologically sustainable energy transition requires innovative measures to minimize pollutant and greenhouse gas emissions. To meet the most stringent emission regulations, exhaust gas aftertreatment systems are optimized specifically for conventional and alternative fuels and integrated into the respective overall systems. Since carbon-based fuels will continue to be indispensable for many years, technologies for carbon capture and subsequent storage or utilization will play a decisive role in the future. The evaluation of the latest capture technologies depending on the application and the selection of the optimal technologies from a techno-economic point of view is carried out on the basis of system simulation-based investigations. The analysis and optimization of entire energy and transport systems (e.g., power plants, ships), considering the latest technological developments, provide the basis for selecting the optimal future technology paths for the specific applications. Finally, the testing of the developed sub-systems and overall systems as well as the demonstration of the transferability of the results to real systems are carried out at the new LEC multi cylinder system test bed.
Area Manager: Dr. Christoph Redtenbacher
Data Analytics and Controls
The area Data Analytics and Controls is concerned with digital technologies that contribute to the performance, durability and robustness of large engines. The focus is on the target-oriented application of artificial intelligence methods and their subfield machine learning in engine development and for series applications in the areas of
- Condition monitoring
- Condition-based (predictive) maintenance and
- Control engineering
In large engines in series applications, more and more sensor technology is being integrated, which also increases the availability of data. This data can be used for condition monitoring, condition-based maintenance and control of components, engines or entire systems that the engine is part of. Data-driven models play an essential role here, as the purely physics-based modeling of complex systems often reaches its limits in terms of accuracy and speed. The reliability and significance of model approaches from the machine learning area depends in particular on the quality of the underlying measurement databases, which are used to train the models. The research area D therefore pursues a holistic approach from measurement data generation through data-driven modeling to subsequent series application, with particular emphasis on solid interaction between all relevant disciplines such as mechanics, thermodynamics, electronics and data science.
Area Manager: Dr. Constantin Kiesling
The Area Simulation-based Development acts as Enabling Area and is in charge of fundamental research at the LEC and provides appropriate tools and methods across domains for research work in the technologically oriented areas.
- Development of numerical methods for the analysis and simulation of complex processes such as ignition, combustion and emission formation, taking into account the characteristics of renewable fuels
- Combination of physics-based and data-driven modeling approaches to increase the efficiency and accuracy of simulation and analysis methods
- Comprehensive modeling and optimization of complex energy and transportation systems using multidisciplinary simulation methods with a focus on the integration of renewable energy sources
- Provision of tailor-made simulation tools to automate and accelerate the development process as well es ensure the transferability of results
The provision of scientifically sound fundamentals as well as the reliable simulation of highly complex processes are nowadays key for successful technological developments, especially with regard to the transformation to renewable fuels. To this end, detailed models and methods for the simulation of all subsystems as well as their interaction within the overall system are being elaborated. Relevant physical phenomena are investigated and supported by in-depth fundamental experiments; stochastic processes are modeled by data-driven approaches. The knowledge gained from the comprehensive fundamental research is incorporated into the LEC simulation methodology. In line with the strategy of increasing the overall share of simulation tasks in the development processes, the focus of the area Simulation-based Development is on establishing a simulation environment that enables reliable virtual development of all processes relevant to large engine applications.
Area Manager: Dr. Gerhard Pirker
The COMET Module LEC HybTec combines complementary technologies to hybrid approaches in order to derive completely new concepts for the optimization of energy and transportation systems that meet the challenges of the future.
- Hybrid simulation methods for the prediction of stochastic phenomena in combustion engines
- Optimization of overall systems combining renewable energy sources, energy converters, novel energy carriers and energy storages
- Tribological simulation of the piston/ring/liner system to predict friction, wear and lube oil consumption.
- Improving the wear resistance of spark plug electrodes by coating them with novel hybrid metal-ceramic materials.
To enable sustainable solutions for highly flexible power generation and transportation systems, large engine technology must achieve reduced emissions while maintaining optimal performance parameters and increased robustness. Furthermore, all necessary components of the overall system as well as the interactions between these components must be optimized.
The hybrid approaches considered in the research program focus on combining physical and data-driven models to understand stochastic phenomena such as cycle-to-cycle variations or knocking in engines, to improve the prediction quality of the simulation, and to increase the quality of engine and combustion control as well as overall system performance, especially with respect to operation with CO2-neutral fuels. The use of ceramic-metal material combinations in the design of highly stressed engine components such as spark plugs extends the hybrid approach.
COMET Module Manager: Dr. Gerhard Pirker