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exothermia suite

Simulation solutions for ultra-clean vehicle architectures

Exhaust aftertreatment under controlWHAT IS EXOTHERMIA SUITE?

exothermia suite is an exhaust aftertreatment system simulation tool of unparalleled scientific depth, combined with continuous validations vs real-world tests.

INDUSTRY PROVENA DETAILED, COMPREHENSIVE & ROBUST E.A.T. MODELING SOFTWARE

exothermia suite provides industry proven solutions including:

  • Modern design tool for the E.A.T. engineer, modelling practically any type of after treatment device across the complete development process
  • Catalytic reactions, heat and mass transfer, filtration modelling and many more features
  • State-of-the-art R&D

Supporting the complete development processFROM EARLY CONCEPT PHASE TO MASS PRODUCTION

exothermia suite provides a wide range of capabilities including:

  • Materials selection: Proper level of predictive sophistication to reach the optimum solution replacing months of expensive testing
  • Concept analysis: Calculating the feasibility and the synergies of combined technologies in the exhaust system
  • Component optimization: With so many design parameters available for each component, exothermia suite helps you run your parametric analysis on your PC instead of the test bed and access all physical parameters in every detail
  • Flow optimization: et-suite offers unique, efficient workflows enabling full 3D modeling in calculation times comparable to real-time
  • Control system: exothermia suite works together with industry standard control development environments (‘xiL’), offering customized solutions for model-based optimization of complete powertrains controls
  • Robustness analysis: exothermia suite provides solutions for failure mode analysis, including thermo-mechanical stress prediction, chemical ageing, ash accumulation, and others
  • On-board diagnostics: exothermia suite can replace most of the testing work by virtually testing the emission control system performance at OBD relevant modes

Advanced Features

  • 3D+ catalyst modelling from detailed chemistry to control applications
  • 3D+ Filtration and reaction modeling in all filter types
  • Integration solutions
  • Explore more of these unique features and underlying models

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PM and NOx removal from stationary engines exhaust

Stationary applications, such as gen-sets operate by nature in different modes compared to engines used in the on-road sector. On the other hand, the design priorities and exhaust system specifications are also different and sometimes stricter especially with respect to durability, maintenance and effects on operational costs.

exothermia suite works closely with this particular industry sector offering cost-efficient model-based solutions for the design and control of such systems.

3-way catalysts for two-wheelers

Exothermia use-case-industries

The emission reduction and on-board monitoring requirements for two-wheelers is putting high pressure to this cost-sensitive industry.

exothermia suite offers tools and engineering services for catalyst design, control and diagnosis optimization using – and adapting when necessary – the experience obtained from the automotive sector.

SCR on filter for off-road applications

exothermia iindustries-cases

Off road engines will require both PM and NOx emission control technologies that will fulfill the emission limits over long useful lives. The design and control optimization of a multi component EAT system is impossible without resorting to advanced CAE methods and tools accounting for long-term deterioration effects and failure mode analysis.

SCR on filter presents a most interesting case with non-obvious impacts of ash and ageing interactions on NOx conversion, NH3 slip and pressure drop. exothermia suite proposes new models and simulation environment setups to provide timely answers to complex problems.

SCR for marine engines

Recent and upcoming regulations for NOx emissions in marine applications require the installation of large and expensive deNOx equipment. Due to the extremely high testing and optimization efforts and costs associated with the certification process, it will be necessary to rely on well established predictive models.

Based on the experience already acquired on the on-road sector, exothermia suite is ready to support the engine and supplier industry to deal with this challenging engineering task.

Passive SCR Aftertreatment Systems

In 2020, Exothermia released a publication entitled “Model-Based Comparison of Passive SCR Aftertreatment Systems for Electrified Diesel Application”, jointly prepared with Punch Torino SpA, former GM Global Propulsion Systems Torino. This was presented in the 2020 “CO2 Reduction for Transportation Systems Conference” virtual event (July 7th-9th https://conferences.ata.it/). The article demonstrates a model based benchmarking of various powertrain topologies and exhaust aftertreatment (EAT) configurations, aiming at optimizing fuel consumption – emissions – & system cost tradeoff for a Diesel HEV. EAT system modeling has been performed using some of the advanced feature of exothermia suite, including electrically heated catalyst models and virtual sensors/controllers.

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Digital Twinning of Future Battery Technologies

Digital Twinning Simulation

Digital Twinning of Future Battery Technologies

Exothermia has initiated a new R&D project aiming to develop an innovative simulation tool for batteries used in electrified vehicles. The new product is expected to offer a breakthrough solution assisting the battery engineers develop efficient and reliable systems reducing costs and time-to-market.

Cutaway view of Electric Vehicle Chassis with battery pack on black background. 3D rendering image.

The project will be based on a multi-scale approach, spanning from battery cells to modules and packs using rigorous physics-based models. Particular attention will be paid to the assessment of battery lifetime and reliability, including the modeling of fire risk and safety measures. The project will focus not only on battery chemistries currently on the market but also those expected to reach the market in the future.

Thanks to the innovative approach to be adopted, the models will offer concrete advantages compared to current state-of-the-art and open new possibilities for improved understanding and predictive modeling of processes, indicatively: ageing modeling for lifetime assessment, hysteresis, localized (non-uniform) Li-plating; assessment of future electrode and electrolyte materials for Li-ion and Lithium Sulfur (Li-S) cells; advanced cooling system design; thermal runaway studies; advanced battery Management and state estimators; future technologies for embedded sensing and self-healing.

digital twin modelingThe software will be used to generate digital twins of battery cells, modules and packs, usable in the automotive industry CAE departments as well as to R&D departments of the suppliers involved in interdisciplinary environments. This way, the detailed electrochemical models will be easily portable to simulation platforms used in vehicle level simulators, where the battery is treated as a grey/black box.

The project is financially supported by a grant from Iceland, Liechtenstein and Norway through the EEA Financial Mechanism 2014-2021, in the frame of the Program “Business Innovation Greece.”

Emission Control Technologies for Zero Carbon Fueled Engines

Emission Control Technologies for Zero Carbon Fueled Engines

 

Τhe enterprise EXOTHERMIA SA, which is headquartered in the Region of Central Macedonia, was co-financed by the European Regional Development Fund (ERDF) of the European Union for the implementation of its project under the Action “Investment Plans of Innovation“ in the Region of Central Macedonia, under the framework of the Operational Program “Central Macedonia 2014-2020.”

The Action aims to assist enterprises and research organizations in implementing research projects.

The use of carbon-free fuels in internal combustion engines is a very attractive solution in the direction of CO2 emissions reduction. In road transport, the use of hydrogen (H2) as a fuel in internal combustion engines is proposed as a clean fuel for LD/HD vehicles. At the same time, in the field of maritime transport and in line with the IMO’s proposed strategy for reducing CO2 emissions from ships, the use of ammonia (NH3) as a marine fuel will be adopted at increased rates.

In this investment plan, Exothermia SA intends to develop new simulation models and acquire know-how in the emerging area of ​​zero-carbon engines. Specifically, the project aims to investigate the operation of H2 and NH3 fueled combustion engines with the respective de-NOx after-treatment systems using testing and modeling methods. The target is to develop a complete simulator to be used in the combined optimization of combustion and emissions after-treatment in on-road and marine applications.

Investment’s total budget is 399,430€ out of which 319,544€ is public expenditure.  The Action is co-financed by Greece and the European Union – European Regional Development Fund.

The approved investment plan includes the following categories of investment:

  • Staff costs
  • Expenses of instruments & research equipment
  • Expenditure on contract research, knowledge and patents
  • Additional overheads and other operating expenses
  • Expenditure on patents and other intangible assets
  • Expenditure on the secondment of highly qualified staff to new posts created for the purpose of the project

Through its participation in the Action the company achieves:

  • Development of synergies with research and academic institutions/companies
  • Increasing competitiveness
  • Transfer of know-how
  • Production of new innovative products/services in the priority areas of the smart specialization strategy (RIS3)
  • Enhancing extroversion
  • Employment of highly qualified scientific staff

Thermal management under the spotlight!

Thermal management under the spotlight!                                                                                               

 

 

For decades we used to treat heat as a low-value, unwanted energy form, an indicator of inefficiencies. Diesel engine engineers, on the other hand, are struggling to use every Joule of heat available in the exhaust gases to keep the catalysts active, especially under city driving conditions.

As our name implies, we feel comfortable with heat and our everyday work is to help engineers make best use of it.

Indeed, a bunch of technologies are available to keep the exhaust system warm, all of them requiring some extra fuel, so the question is how to achieve your emission targets with the least fuel and CO2 penalty.

With the valuable support of the co-Funded project ‘Thermatech’, we are determined to develop the most comprehensive model-based approach to deal with the complexity of this trade-off problem in the early development phase. Combining our expertise in testing & modeling Diesel engines, exhaust systems and heat exchangers, we will trace every bit of energy and heat flow at component and system level over the next couple of years.

Many thanks to Greek Ministry of Development of Greece for selecting our research proposal and co-financing the project through the European Regional Development Fund of the European Union and Greek national funds in the frame of the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: Τ1EDK-01120)

New research project plugged-in!

New research project plugged-in!

 

 

Exothermia kicks-off a new research project in the field of powertrain electrification. The SIEVE (Simulation platform of energy processes in electric and hybrid vehicles) project will accelerate the development of innovative  modeling of powertrain elements for hybrid and electric vehicles.

We are excited to intensify our research in high-fidelity component level modeling with the support of the EU/Greek co-funding schemes. Building on our standard practices, we will combine top level testing and measurement techniques with innovative modeling methods to reach the next level of predictive vehicle level simulations in electrified vehicles.
Looking forward to delivering our research findings over the coming three years. Stay tuned!

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Co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: Τ1EDK-01080)

KEYWORDS: Electrification, Electric vehicles, Hybrid vehicles, Modeling, Simulation tools

Innovation Vouchers for small, micro and medium-sized enterprises of the Region of Central Macedonia

Innovation Vouchers for small, micro and medium-sized enterprises of the Region of Central Macedonia     

Τhe enterprise Exothermia SA with headquarters in the Region of Central Macedonia,  was co-financed by the European Regional Development Fund (ERDF) of the European Union (ΕΕ) for the implementation of its project under the Action “Innovation Vouchers for small, micro and medium-sized enterprises of the Region of Central Macedonia “, under the framework of the Operational Program «Central Macedonia» 2014-2020.

The Action is aimed at empowering small, micro and medium-sized enterprises, through the purchase of innovative consulting services and transfer of know-how from recognized Innovation Institutes, in order to develop innovative products / services or operation processes and improve the quality of their products / services.

Ιnvestment’s total budget is 10,000€. (100% public expenditure). The Action is co-financed by Greece and the European Union – European Regional Development Fund.

Through participation in the Action, the company achieved:

  • Cooperation with research and technological institutes
  • Acquisition of significant know-how
  • Higher quality products & services

Support Micro and Small Enterprises affected by Covid-19

Support Micro and Small Enterprises affected by Covid-19

Exothermia S.A., with headquarters in the Region of Central Macedonia Greece,  was co-financed by the European Regional Development Fund (ERDF) of the European Union (EE) for the implementation of its project under the Action “Support micro and small enterprises affected by Covid-19 in Central Macedonia“ under the framework of the Operational Program «Central Macedonia» 2014-2020.

The Action is aimed at empowering micro and small enterprises in the Region of Central Macedonia in the form of a non-repayable grant to ensure sufficient liquidity to deal with the effects of the COVID-19 pandemic.

Investment’s total budget is 50.000€ (100% public expenditure). The Action is co-financed by Greece and the European Union – European Regional Development Fund.

State-of-the-art electronic equipment

State-of-the-art electronic equipment

 

 

Exothermia with headquarters in the Region of Central Macedonia, Greece, was co-financed by the European Regional Development Fund (ERDF) of the European Union for the implementation of its project under the Action “Technology Vouchers for small and micro enterprises of the Region of Central Macedonia “.

The Action is aimed at empowering small and micro enterprises, through the purchase of innovative ICT applications, in order to strengthen the ICT implementation strand, as key support technology, toachieve improvements in productivity terms and promotional activities.

 

 

HealthyFleet

Exothermia SA and Emisia SA Collaborated and Developed a New Solution, ‘HealthyFleet’

The future is electric, since 700 million electric vehicles are estimated to be on roads globally by 2050.

But are we ready to cope with the future of electrified mobility?

  • What would be the overall benefits of fleet electrification?
  • How many charging points are required?
  • How many batteries will be needed annually?

HealthyFleet comes to empower decision-makers with data in the era of electrification.

Exothermia SA and Emisia SA collaborated in the frame of Mobility and Logistics Cluster framework, developing a new solution, the so called ‘HealthyFleet’ to address all these questions.

Check out here our interactive report featuring demo results, covering expected battery lifetime, energy demand, real range, and more.

The action was co-financed by the European Regional Development Fund (ERDF) of the European Union for the implementation of its project under the Action “Innovation Clusters “, under the framework of the Operational Program 2014-2020.

 

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Publications

Select publication topics below:

 Flow-through catalytic converters: DOC, TWC, LNT, SCR

  • Pattas, K.N., A.M. Stamatelos, P.K. Pistikopoulos, G.C. Koltsakis, P.A. Konstantinidis, E.Volpi, E. Leveroni: Transient Modeling of 3-Way Catalytic Converters. SAE Transactions, Vol.103, Journal of Fuels and Lubricants (1994), pp.565-578. 
  • Pattas, K.N., A.M. Stamatelos, G.C. Koltsakis, P.A. Konstantinidis, E.Volpi, E. Leveroni: Computer Aided Assessment of Catalyst Ageing Cycles. (SAE paper 950934) SAE International Congress, Detroit, USA, March1995. 
  • Conti, L.; Saroglia, L.P., R. van Yperen, Stamatelos, A.M.; Koltsakis, G.C.: Development of Dedicated CNG Ultra Low Emitting Cars ATA (Associazione Tecnica dell’Automobile): 1st International Conference: Alternative and Bio Fuels: Production and Use. Lecce, Italy, June 20-21, 1996. 
  • Koltsakis, G.C. and A.M. Stamatelos: Konzept zur Katalysator-ueberpruefung durch Reaktionswaermeentwicklung MotorTechnische Zeitschrift, MTZ 57 (1997), 3 (March 1997), S.178-184 
  • Koltsakis, G. C. (1997). “Warm-up behavior of monolithic reactors under non-reacting conditions.” Chemical Engineering Science 52(17): 2891-2899. 
  • Koltsakis, G. C., P. A. Konstantinidis, A.M. Stamatelos (1997). “Development and application range of mathematical models for 3-way catalytic converters.” Applied Catalysis B: Environmental 12(2-3): 161-191 
  • Koltsakis, G.C., Kandylas, I.P. and A.M. Stamatelos: Three-Way Catalytic Converter Modeling and Applications Chemical Engineering Communications, 1998, Vol.164, pp.153-189. 
  • Stamatelos, A.M.; Koltsakis, G.C. and I.P. Kandylas: Computergestuetzter Entwurf von Abgasnachbehandlungsystemen. Teil I. Ottomotor Motortechnische Zeitschrift, MTZ 60 (1999), 2 (Februar 1999), S. 116-124 
  • Koltsakis G.C, Stamatelos A. M. : Dynamic Behavior Issues in Three-Way Catalyst Modeling. AIChE Journal, Vol. 45, No.3, March 1999. 
  • Koltsakis, G. C. and A. M. Stamatelos (1999). “Modeling dynamic phenomena in 3-way catalytic converters.” Chemical Engineering Science 54(20): 4567-4578. 
  • Kandylas, I., G. Koltsakis, A. Stamatelos (1999). “Mathematical modelling of precious metals catalytic converters for diesel NOx reduction.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 213(3): 279-292 
  • Koltsakis, G. C. and A. M. Stamatelos (2000). “Modeling of Hydrocarbon Trap Systems.” SAE Transactions: Journal of Passenger Car – Mechanical Systems: SAE 2000-2001-0655. 
  • Koltsakis G. C., Stamatelos A. M., Thermal Response of Automotive Hydrocarbon Adsorber Systems ASME Journal of Gas Turbines & Power, Vol. 122, January 2000, pp.112-118. 
  • Koltsakis, G.C. and A.M. Stamatelos: Storage of Chemical Species in Modern Emission Control Systems: The Role of Mathematical Modeling, Global Powertrain Congress, Detroit, 2001. 
  • Pontikakis, G. N., G. C. Koltsakis, A. Stamatelos, R. Noirit, Y. Agliany H. Colas, Ph. Versaevel (2001). “Experimental and Modeling Study on Zeolite Catalysts for Diesel Engines.” Topics in Catalysis 16-17(1): 329-335. 
  • Tsinoglou D., Koltsakis G. C., Peyton Jones J.: “Oxygen Storage Modeling in 3-Way Catalysts” Industrial & Engineering Chemistry Research, Vol. 41, Issue 5, 2002, pp. 1152-1165. 
  • Tsinoglou D., Koltsakis G. C.: “Potential of thermal methods for catalyst on-board diagnosis” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 216, No 7, p. 565 July 2002. 
  • Tsinoglou D., Koltsakis G. C, Samaras Z.: “Evaluation of On-Board Diagnostic Methods for 3-Way Catalytic Converters” Environmental Science and Technology, 2002, 36, 5270-5278. 
  • Tsinoglou D., Koltsakis G. C.: “Effect of perturbations in the exhaust gas composition on 3-way catalyst light off ” Chemical Engineering Science, Vol. 58/1, pp. 179-192, 2003. 
  • Tsinoglou D. N., Koltsakis, G.C.: Thermal response of close coupled catalysts during light-off”, (SAE 2003-01-1876) JSAE/SAE International Spring Fuels & Lubricants Meeting, May 2003. 
  • Tsinoglou D. N., Koltsakis G. C., Misirlis D., Yakinthos K.: “Modeling of Flow Distribution During Catalytic Converter Light-Off”, International Journal of Vehicle Design, Vol. 34, No 3, pp. 231-259, 2004. 
  • Tsinoglou D. N., Koltsakis G. C., Misirlis D., Yakinthos K.: “Transient Modeling of Flow Distribution in Automotive Catalytic Converters”, Applied Mathematical Modeling, Volume 28, Issue 9, Pages 775-861, 2004. 
  • Tsinoglou D. N., Koltsakis, G.C.: Modeling the Effect of Flow Pulsations in Close-Coupled Catalytic Converter Light-off, SAE Transactions: Journal of Fuels & Lubricants (SAE 2004-01-1835) 2004. 
  • Tsinoglou D. N., Koltsakis, G.C.: Influence of Pulsating Flow on Close-Coupled Catalyst Performance, ASME Journal of Gas Turbines & Power, 2004. 
  • Koltsakis, G. C., N. Margaritis, O. Haralampous, Z. Samaras (2006). “Development and Experimental Validation of a NOx Trap Model for Diesel Exhaust.” SAE transactions: Journal of Fuels and Lubricants SAE 2006-2001-0471. 
  • Koltsakis G.C., Margaritis N., Haralampous O. , 2007, NOx Trap Modeling and Experimental Validation Using Ultra-fast Analyzers, Topics in Catalysis, Vol. 42-43, Issue 1-4, 2007, Pages 65-69. 
  • Margaritis, N., O. Haralampous, G. Koltsakis (2007). “Modeling of the NOx trap and experimental validation using ultra-fast NOx analyzers.” Topics in Catalysis 42-43(1): 65-69. 
  • Tsinoglou D., Koltsakis G. C., Modelling of the selective catalytic NOx reduction in diesel exhaust including ammonia storage, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 221 (1), 2007, pp. 117-133. 
  • Tsinoglou D., Koltsakis, G. C, Samaras Z..: Performance of OBD systems for Euro 4 Level Vehicles and Implications for the Future OBD Legislation, On-board Diagnose II: Status der Gesetsgebung ind Auswirkungen auf die Fahrzeugentwicklung, expert Verlag, 2007 
  • Koltsakis, G.C., O. Haralampous, N. Margaritis: Oxygen Storage Effects on NOx Trap Performance, 2nd MinNOx Conference-Minimization of NOx Emissions through Exhaust Gas Aftertreatment, Berlin, 2008 
  • Koltsakis G.C.: Modeling of multi-layer catalysts and application in deNOx systems. 12th CLEERS Workshop, Detroit, 2009 
  • Koltsakis G., O. Haralampous, I. Koutoufaris: Evaluation of multi-functional deNOx systems using advanced simulation tools, 3rd MinNOx Conference-Minimization of NOx Emissions through Exhaust Gas Aftertreatment, Berlin, 2010 
  • Lafossas, F., Matsuda, Y., Mohammadi, A., Morishima, A., Inoue, M., Kalogirou, M., Koltsakis, G., Samaras, Z., “Calibration and Validation of a Diesel Oxidation Catalyst Model: from Synthetic Gas Testing to Driving Cycle Applications” SAE Int. J., Vol. 4, No. 1, pp. 1586-1606, 2011 (collaboration with Toyota Motor Europe) 
  • Colombo, M., Koltsakis, G., Nova, I, Tronconi, E., Koutoufaris, I.: A novel approach to the modeling of dual-layer ammonia slip catalysts. 2011 CLEERS Workshop, Dearborn, 2011 (collaboration with Politechnico di Milano) 
  • Koltsakis, G., Z. Samaras, P. Fragkiadoulakis, Ch. Manetas, Ev. Georgiadis, Ch. Bizet, P.-O. Calendini, O. Hayat, “Application of simulation tools in SCR optimization and control”, 4th MinNOx Conference – Minimization of NOx Emissions through Exhaust Gas Aftertreatment, Berlin 2012 (collaboration with Peugeot Citroen Automobiles) 
  • Koltsakis, G., “SCR system analysis and optimization via multi-scale simulation tools”, 8th International CTI Conference: SCR Systems, Munich 2012 
  • Colombo, M., Koltsakis, G., Nova, I, Tronconi, E., “Modelling the ammonia adsorption–desorption process over an Fe–zeolite catalyst for SCR automotive applications” Catalysis Today, 188 (1), pp42-52, 2012 (collaboration with Politechnico di Milano) 
  • Colombo M., Nova I., Tronconi E., Koltsakis, G., “A modeling study of NH3 slip catalysts: analysis of SCR/PGM interactions”, Topics in Catalysis, Volume 56, Issue 1-8, May 2013, Pages 177-181 (collaboration with Politechnico di Milano) 
  • Koltsakis, G., Fragkiadoulakis, P., Samaras, Z., Georgiadis, E. et al., “SCR System Optimization and Control Supported by Simulation Tools,” SAE Technical Paper 2013-01-1075, 2013, doi:10.4271/2013-01-1075 (collaboration with Peugeot Citroen Automobiles) 
  • Koltsakis, G., “Cost effective development of SCR and SCR-coated filters via simulation”, 9th International CTI Conference: SCR Systems, Stuttgart 2013. 
  • Koutoufaris I., Koltsakis, G., “Heat- and mass- transfer induced hysteresis effects during catalyst light-off testing”, International Symposium on Modeling of Exhaust-Gas After-Treatment (MODEGAT III), Bad Herrenalb, Germany, September 8-10, 2013. 
  • Karamitros D., Koltsakis G., “SCR reactor models for flow-through and wall-flow converters” Springer collective work “Urea-SCR Technology for DeNOx Aftertreatment of Diesel Exhausts”, Springer New York, 2014. 
  • Koltsakis, G.C., Th. Atmakidis, D. Karamitros, Ch. Manetas:Scaling of Simulation tools for efficient MinNOx, MinNOx-Minimization of NOx Emissions through Exhaust Gas Aftertreatment, Berlin, 2014. 
  • Lafossas FA, Manetas C, Mohammadi A, Kalogirou M, Koltsakis G, Samaras Z, Iida M, Inoue M , “Sulfation and lean/rich desulfation of a NOx storage reduction catalyst : Experimental and simulation study”,  International Journal of Engine Research, Volume 16, February 2015, pp.197-212 (collaboration with Toyota Motor Europe) 
  • Koltsakis G., Skarlis S., Nastos T., Karamitros D., Vogt C., Sakashita S., “Model-based Development of Advanced SCR Substrates”, International Journal of Automotive Engineering, Vol.6, No.2, pp.45-52(2015) (collaboration with NGK Insulators) 
  • Karamitros D., Khatke A., Koltsakis G., Villegas A.-F., Barrillon P., “3-way catalyst modeling and applications for system design and control”, International Symposium on Modeling of Exhaust-Gas After-Treatment (MODEGAT IV), Bad Herrenalb, Germany, September 14, 2015 (collaboration with Renault) 
  • Lafossas, F.-A., Manetas, C., Mohammadi, A., Koltsakis, G., Iida, M., Yoshida, K., Modeling of the desulfation process in NOx storage and reduction catalysts (2017) AIChE Journal, 63 (6), pp. 2117-2127. 
  • Papetti, V., Dimopoulos Eggenschwiler, P., Della Torre, A., Montenegro, G. et al., “Heat Transfer Analysis of Catalytic Converters during Cold Starts,” SAE Technical Paper 2019-24-0163, 2019, https://doi.org/10.4271/2019-24-0163. (collaboration with EMPA – Swiss Federal Laboratories for Materials Science and Technology) 
  • Papetti, V., Dimopoulos Eggenschwiler, P., Emmanouil, V., and Koltsakis, G., “Analysis of TWC Characteristics in a Euro6 Gasoline Light Duty Vehicle,” SAE Technical Paper 2019-24-0162, 2019, https://doi.org/10.4271/2019-24-0162. (collaboration with EMPA – Swiss Federal Laboratories for Materials Science and Technology) 
  • D. Karamitros, et al., ‘Model-based comparison of passive SCR aftertreatment systems for electrified applications’, SAE Technical Paper 2020-37-0023, 2020, doi:10.4271/2020-37-0023. 
  • G. Koltsakis, et al., ‘Reversible Sulfur Poisoning of 3-way Catalyst linked with Oxygen Storage Mechanisms’, SAE Technical Paper 2021-24-0069, 2021, doi.org/10.4271/2021-24-0069. (collaboration with Toyota Motor Europe) 

 

Particulate Filters 

  • Pattas, K.N., A.M. Stamatelos, K.N. Kougianos and G.C. Koltsakis: Trap Protection by Limiting A/F During Regeneration. SAE Transactions, Vol. 104, Section 3, Journal of Engines, pp.678-688, 1995. 
  • Koltsakis, G.C. and A.M. Stamatelos: Modeling Thermal Regeneration of Wall-Flow Diesel Particulate Traps AIChE Journal, Vol.42, No.6, pp.1662-1672, June 1996. 
  • Koltsakis, G.C. and A.M. Stamatelos: Modeling Catalytic Regeneration of Wall-Flow Particulate Filters Industrial & Engineering Chemistry Research, 1996, (35), pp. 2-13. 
  • Koltsakis, G.C. and A.M. Stamatelos: Modes of Catalytic Regeneration in Diesel Particulate Filters Industrial & Engineering Chemistry Research, 36 (10) pp.4155-4165 (1997). 
  • Stamatelos, A.M.; Koltsakis, G.C. and I.P. Kandylas: Computergestuetzter Entwurf von Abgasnachbehandlungsystemen. Teil ΙI: Dieselmotor Motortechnische Zeitschrift , MTZ 60 (1999), 3 (Marz 1999), S. 194-204. 
  • Versaevel, P., Colas H., Rigaudeau C., Noirot R., Koltsakis, G.C., Stamatelos, A.M.: Some Empirical Observations on Diesel Particulate Filter Modeling and Comparison Between Simulations and Experiments. (SAE paper 2000-01-477) SAE International Congress, Detroit, USA, 2000 (collaboration with Peugeot Citroen Automobiles) 
  • Pontikakis G. N., Koltsakis G.C., Stamatelos A. M.: ‘A Mathematical Model for the Dynamic Particulate Filtration in Diesel Foam Filters’ Particulate Science and Technology: An International Journal, Volume 17, Issue 3 pp. 179-200, Jul-Sep 1999. 
  • Pontikakis G. N., Koltsakis G.C., Stamatelos A. M.: ‘Dynamic Filtration Modeling in Foam Filters for Diesel Exhaust’ Chemical Engineering Communications, 2001, Vol. 188, pp. 21-46. 
  • Kandylas I.P., Koltsakis G. C.: “NO2 Assisted Regeneration of Diesel Particulate Filters: A Modeling Study” Industrial & Engineering Chemistry Research, Volume 41, Issue 9 (April 24, 2002). 
  • Haralampous O., Koltsakis G. C.: “Intra-Layer Temperature Gradients During Regeneration Of Diesel Particulate Filters” Chemical Engineering Science, Volume 57, Issue 13, July 2002, Pages 2345-2355. 
  • Kandylas I. P., Haralampous O. A., Koltsakis G. C: “Diesel Soot Oxidation with NO2: Engine Experiments and Simulations” Industrial & Engineering Chemistry Research, 41, pp. 5372-5384, 2002. 
  • Haralampous O. A., Koltsakis, G.C. and Samaras Z. C.: Partial regenerations in diesel particulate filters” (SAE 2003-01-1881)  JSAE/SAE International Spring Fuels & Lubricants Meeting, 2003. 
  • Haralampous O. A., Kandylas I. P., Koltsakis G. C, Samaras Z. C.: “Diesel particulate filter pressure drop. Part I: Modeling and experimental validation”, International Journal of Engine Research, Vol. 5, No 2, pp. 149-162, 2004. 
  • Haralampous O. A., Kandylas I. P., Koltsakis G. C, Samaras Z. C.: “Diesel particulate filter pressure drop. Part II: On board calculation of soot loading”, International Journal of Engine Research, Vol. 5, No 2, pp. 163-173, 2004. 
  • Haralampous O. A., Koltsakis G. C.: “Back-diffusion Modeling of NO2 in Catalyzed Diesel Particulate Filters “, Industrial & Engineering Chemistry Research, Vol. 43, 4, pp. 875-883, 2004. 
  • Haralampous O. A., Koltsakis, G.C. Samaras Z. C., Vogt C.D., Ohara E., Watanabe Y., Mizutani T.: Reaction and diffusion phenomena in catalyzed diesel particulate filters, SAE Transactions: Journal of Fuels & Lubricants, (SAE 2004-01-0696) 2004. 
  • Haralampous O. A., Dardiotis C., Koltsakis, G.C., Samaras Z.: Study of Catalytic Regeneration Mechanisms in Diesel Particulate Filters using Coupled Reaction-Diffusion Modeling, SAE Transactions: Journal of Fuels & Lubricants (SAE 2004-01-1941) 2004. 
  • Haralampous O. A., Kandylas I. P., Koltsakis G. C, Samaras Z. C.: “Experimental Evaluation of Apparent Soot Oxidation Rates in Diesel Particulate Filters”, International Journal of Vehicle Design, 2004. 
  • Haralampous O. A., Koltsakis G. C.: “Oxygen Diffusion Modeling in Diesel Particulate Filter Regeneration “, AIChE Journal, Vol. 50, No. 9, p. 2008, 2004. 
  • Haralampous O. A., Koltsakis, G.C. Samaras Z. C., Vogt C.D., Ohara E., Watanabe Y., Mizutani T.: Modeling and experimental study of uncontrolled regenerations in SiC filters with Fuel Borne catalyst, (SAE 2004-01-0697) SAE International Congress, Detroit, USA, 2004 (collaboration with NGK Insulators) 
  • Koltsakis, G.C., Haralampous O. A., Margaritis N. K., C. K., Samaras Z. C., Vogt C.D., Ohara E., Watanabe Y., Mizutani T.: 3-Dimensional Modeling of the Regeneration in SiC Diesel Particulate Filters, (SAE 2005-01-0953), SAE Transactions: Journal of Fuels & Lubricants SAE International Congress, Detroit, USA, 2005 (collaboration with NGK Insulators) 
  • Koltsakis, G.C., Haralampous O. A., Dardiotis C. K., Samaras Z. C., Vogt C.D., Ohara E., Watanabe Y., Mizutani T.: Performance of Catalyzed Diesel Particulate Filter without upstream Oxidation Catalyst, (SAE 2005-01-0952) SAE International Congress, Detroit, USA, 2005 (collaboration with NGK Insulators) 
  • Dardiotis C., Haralampous O., Koltsakis G. , 2006, Catalytic Oxidation Performance of Wall-Flow vs Flow-through Monoliths for Diesel Emissions Control, Industrial & Engineering Chemistry Research, Volume 45, Issue 10, p. 3520-353. 
  • Koltsakis G.C, Konstantinou A., Haralampous O. A., Samaras Z. C. , 2006, Measurement and Intra-Layer Modeling of Soot Density and Permeability in Wall-flow Filters, SAE Transactions, Journal of Fuels and Lubricants (SAE 2006-01-0261). 
  • Koltsakis G.C, Katsaounis D., Samaras Z. C., Naumann D., Saberi Sh., Böhm A., Filtration and Regeneration Performance of a Catalyzed Metal Foam Particulate Filter, SAE International Congress, (SAE 2006-01-1524), 2006 (collaboration with Inco Special Products) 
  • Koltsakis, G.C.: Modeling of Wall-flow Particulate Filters with Catalyst Zoning, 9th CLEERS Workshop, Detroit, 2006. 
  • Koltsakis G.C, Katsaounis D., Markomanolakis I., Samaras Z. C., Naumann D., Saberi Sh., Böhm A., Design and Application of Catalyzed Metal Foam Particulate Filters, SAE Powertrain & Fluid Systems Conference, (SAE 2006-01-3284), 2006 (collaboration with Inco Special Products) 
  • L. Krämer, F. Heimlich, J. Schäffner, R. Gratzke, K. Behnk, G. Koltsakis, O. Haralampous: Assessing the Maximum Soot Mass Loading of Diesel Particulate Filters by Advanced Modelling and Regeneration Control, SIA Diesel Conference 2006, Lyon, 2006 (collaboration with IAV GmbH) 
  • Frey M., Wenninger G., Krutzsch B., Koltsakis, G.C, Haralampous O., Samaras Z. C. , 2D Simulation of the Regeneration Performance of a Catalyzed DPF for Heavy-Duty Applications., Topics in Catalysis, Volume 42-43, Issue 1-4, 2007, p. 237-245 (collaboration with DAIMLER) 
  • Kalogirou M., Katsaounis D., Koltsakis G.C, Samaras Z. C. , 2007, Measurements of Diesel Soot Oxidation Kinetics in an Isothermal Flow Reactor – Catalytic Effects Using Pt-based Coatings, Topics in Catalysis, Volume 42-43, Issue 1-4, 2007, p. 247-251. 
  • Koltsakis G. C., O. Haralampous, Z. C. Samaras, L. Kraemer, F. Heimlich. K. Behnk, Control Strategies for Peak Temperature Limitation in DPF Regeneration Supported by Validated Modeling, SAE Transactions, Journal of Fuels and Lubricants (SAE 2007-01-1127), 2007 (collaboration with IAV GmbH) 
  • Koltsakis G. C, Katsaounis D., Markomanolakis I., Samaras Z. C., Naumann D., Saberi Sh., Böhm A. , Metal Foam Substrate for DOC and DPF Applications, SAE Transactions, Journal of Fuels and Lubricants (SAE 2007-01-0659), 2007 (collaboration with Inco Special Products) 
  • Dardiotis C., Haralampous O., Koltsakis G.: Catalytic Oxidation in Wall-Flow Reactors with Zoned Coating, Chemical Engineering Science 63 (4), pp. 1142-1153, 2008. 
  • Koltsakis, G. C., Dardiotis, C. K., Samaras, Z. C., Frey, M., Wenninger, G., Krutzsch, B., Haralampous, O. A., “Model-based Optimization of Catalyst Zoning in Diesel Particulate Filters”, SAE 2008-01-0445, 2008 (collaboration with Inco Special Products) 
  • Koltsakis, G.C, Katsaounis D., Markomanolakis I., Samaras Z. C., Naumann D., Saberi Sh., Böhm A.: Development of Metal Foam Based Aftertreatment System on a Diesel Passenger Car .SAE paper 2008-01-0619, 2008 (collaboration with Inco Special Products) 
  • Koltsakis G., O. Haralampous, I. Koutoufaris: Potential and challenges of integrating de-NOx catalysts on DPF substrates, SIA Diesel Conference 2008, Rouen, 2008. 
  • Koltsakis, G. C, Haralampous O.: Multi-dimensional Modeling of Catalyzed Particulate Filters. 6th CTI Forum, Nuertingen, 2008. 
  • Koltsakis, G. C., Dardiotis, C. K., Samaras, Z. C., Maunula T., Kinnunen T., Lundorf P., “Optimization methodologies for DPF substrate-catalyst combinations” (SAE 2009-01-0291), 2009 (collaboration with Ecocat Oy) 
  • Koltsakis, G. C., Samaras, Z. C., Echtle H., Chatterjee D., Markou P., Haralampous O.: “Flow Maldistribution Effects on DPF Performance”, (SAE 2009-01-1280), 2009 (collaboration with MTU Friedrichshafen GmbH) 
  • Hajireza, S., Johannesen, L., Wolff, T., Haralampous, O., Koltsakis, G., Samaras, Z.: “Innovative substrate for DPF applications: A Modeling and Experimental Investigation on an Innovative Substrate for DPF Applications”, (SAE2010-01-0891), 2010 (collaboration with NOTOX A/S) 
  • Colombo, M., Koltsakis, G., Koutoufaris, I., “A Modeling Study of Soot and De-NOx Reaction Phenomena in SCRF Systems”, (SAE2011-37-0031), 2011. 
  • Koltsakis, G., Bollerhoff, T., Samaras, Z., and Markomanolakis, I., “Modeling the Interactions Of Soot and SCR Reactions in Advanced DPF Technologies with Non-homogeneous Wall Structure,” SAE Technical Paper 2012-01-1298, 2012 
  • Bollerhoff, T., Markomanolakis, I., Koltsakis, G., “Filtration and regeneration modeling for particulate filters with inhomogeneous wall structure”, Catalysis Today 188(1), pp 24-31, 2012 
  • Koltsakis, G., Atmakidis, Th., “Soot mass limit prediction via coupled thermo-mechanical stress analysis”, CLEERS Conferfence, Detroit 2012 
  • Koltsakis, G., Haralampous, O., Depcik, C. and Ragone, J. C. “Catalyzed diesel particulate filter modeling”. Reviews in Chemical Engineering, 29(1), 1-61 (2013) (collaboration with University of Kansas) 
  • Kalogirou M., Atmakidis T., Koltsakis G., Samaras Z., “Efficient CAE methods for the prediction of thermomechanical stresses during DPF regeneration”, JSAE Annual Congress, Yokohama, Japan, May 2013 
  • Tronconi E., Nova I., Marchitti ., Koltsakis G., Karamitros D., Maletic B., Markert N., Charrerjee D., Hehle M., “Interaction of NOx reduction and soot oxidation in a DPF with Cu-Zeolite SCR coating”, Emiss. Control Sci. Tehcnolo., 1:134-151, (2015) (collaboration with Politechnico di Milano) 
  • Karamitros D., Koltsakis G., “Model-based optimization of catalyst zoning on SCR-coated particulate filters”, Chemical Engineering Science, Volume 173, 14 December 2017, Pages 514-524. 
  • Voutsi, O., Tsinoglou, D., Karamitros, D., and Koltsakis, G., “Pressure Drop of Particulate Filters and Correlation with the Deposited Soot for Heavy-Duty Engines,” SAE Technical Paper 2019-24-0151, 2019, https://doi.org/10.4271/2019-24-0151. 
  • M. Mitsouridis, G. Koltsakis, Z. Samaras, J. Goodwin, J. Gidney, C. Martin, ‘GPF modeling supported by size-resolved filtration efficiency measurements’, MODEGAT VI Conference, Bad Herrenalb, 2019 
  • G. Koltsakis, Tutorial DPF /SDPF: ‘Challenges and model-based solutions in SCR-coated filters applications’, MODEGAT VI Conference, Bad Herrenalb, 2019 
  • M. Mitsouridis, G. Koltsakis, Z. Samaras and C. Martin,  GPF model-based optimization methodologies supporting RDE conformity, 23rd Transport and Air Pollution Conference, Thessaloniki, 2019 
  • M. A. Mitsouridis, D. Karamitros, G. Koltsakis, ‘Model-Based Analysis of TWC-Coated Filters Performance’, Emission Control Science and Technology (2019) 5:238–252 https://doi.org/10.1007/s40825-019-00124-3 
  • G. Koltsakis et al., ‘Towards predictive ash accumulation and transport modeling’, CLEERS conference 2020 

 

Integrated exhaust simulation 

  • Konstantinidis, P.A., Koltsakis, G.C. and A.M. Stamatelos: Transient Heat Transfer Modelling in Automotive Exhaust Systems. Proc. Inst. Mech. Engrs., Part C: Journal of Mechanical Engineering Science, Vol.211, pp. 1-15, 1997. 
  • Koltsakis, G.C. and A.M. Stamatelos: Catalytic Automotive Exhaust Aftertreatment Progress in Energy and Combustion Science, Vol.23, pp. 1-39 (1997). 
  • Konstantinidis, P., G. Koltsakis, A. Stamatelos (1997). “Computer aided assessment and optimization of catalyst fast light-off techniques.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 211(1): 21-37 
  • Pattas, K.N.; A.M. Stamatelos, G.C. Koltsakis, I. Kandylas and W. Mustel: Computer Aided Engineering in the Design of Diesel Particulate Trap Systems. (SAE paper 970472) SAE International Congress, 1997. 
  • Konstantinidis, P.A., Koltsakis, G.C. and A.M. Stamatelos: The Role of CAE in the Design Optimization of Automotive Exhaust Aftertreatment Systems Proc. Inst. Mech. Engrs.,Part D, Journal of Automobile Engineering, Vol. 212 (1998), pp. 169-186. 
  • Stamatelos A.M., Koltsakis G.C., Kandylas I.P., Pontikakis G.N.: Computer Aided Engineering in Diesel Exhaust Aftertreatment Systems Design Proceedings of the Institution of Mechanical Engineers, Journal of Automobile Engineering, Vol. 213, pp. 545-560, 1999. 
  • Stamatelos, A.M., Koltsakis, G.C. I.P. Kandylas and G. N. Pontikakis: Computer-Aided Engineering in the Development of Diesel Exhaust Aftertreatment Systems. (SAE paper 1999-01-0458) SAE International Congress, Detroit, USA, Μάρτιος 1999. 
  • Kandylas I.P., Koltsakis G. C.: “Simulation of Continuously Regenerating Diesel Particulate Filters in Transient Driving Cycles” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Vol. 216, No 7, p. 591 July 2002. 
  • Koltsakis, G.C., O. Haralampous, D. Tsinoglou, N. Margaritis, Z. Samaras: Modeling of diesel de-NOx aftertreatment components, MinNOx-Minimization of NOx Emissions through Exhaust Gas Aftertreatment, Berlin, 2007. 
  • Koltsakis, G. C.: 4-way catalyst modeling in wall-flow and deep-bed substrates, 10th CLEERS Workshop, Detroit, 2007. 
  • Koltsakis, G. C, Haralampous O. A.: Exhaust System Simulation for Emission Control Optimization, Virtual Powertrain Creation, MTZ-Conference, 2007. 
  • Koltsakis G., O. Haralampous: Practical applications of multi-dimensional modeling in diesel exhaust after-treatment. SIA Diesel Engine After treatment Conference 2008, Paris, 2008. 
  • Koltsakis, G. C.: From zero to four-dimensional after-treatment models: needs and challenges. 11th CLEERS Workshop, Detroit, 2008. 
  • Koltsakis G.C: Simulation of Complete Exhaust Systems. CTI Conference: “Simulation of Exhaust Gas Technology”, 2008. 
  • Koltsakis, G. C, Kraemer L., Schaeffner J., Haralampous O.: Challenges and model-based solutions for SCR system design/calibration in passenger cars. 2nd SCR Conference, IQPC, Frankfurt, 2008 (collaboration with IAV GmbH) 
  • Koltsakis G.C.: Tutorial Modeling DOC and DPF., MODEGAT conference, Karlsruhe, 2009 
  • Koltsakis G., O. Haralampous, I. Koutoufaris: “Applications of multi-layer catalyst modeling in deNOx and DPF systems”, SAE 2010-01-0893, 2010. 
  • Kalogirou, M., Schejbal, M., Koltsakis, G.: Experimental procedures for efficient after-treatment model calibration”, 13th CLEERS Workshop, Detroit, 2010. 
  • Koltsakis, G., Samaras, Z., Karvountzis-Kontakiotis, A., Zacharopoulou, T., Haralampous, O., “Implications of Engine Start-Stop on After-Treatment Operation” SAE Int. J. Engines, Vol. 4, No. 1, pp. 1571-1585, 2011. 
  • Tourlonias, P., Koltsakis, G., “Model-based comparative study of Euro 6 diesel aftertreatment concepts, focusing on fuel consumption” International Journal of Engine Research, 12 (3), pp. 238-251, 2011 
  • Kalogirou M., Koltsakis G., “Exhaust after-treatment modelling: Fundamental applications and future challenges”, Transport and Air Pollution Conference, 2012. 
  • Zacharopoulou T., Souliotis T., Karvountzis-Kontakiotis A., Karamitros D., G. Koltsakis, “Model based methodologies supporting real driving emissions challenges”, SIA Powertrain Versailles, 2015. 
  • Zacharopoulou T., Koltsakis G., von Ruden K., “Hybrid Vehicle Simulation Addressing Real Driving Emissions Challenges”, Chapter for Simulation and Testing for Vehicle Technology, pp 195-213, 2016, Springer (collaboration with IAV GmbH) 
  • Koltsakis, G., Kandylas, I., and Gulakhe, V., “Synergetic DOC-DPF System Optimization Using Advanced Models,” SAE Int. J. Engines 10(1):81-94, 2017, doi:10.4271/2017-26-0121. 

Selected publications of industrial and academic Exothermia users 

  • Neumann, D., Schrade, F., Basse, “Carbon Monoxide”, N. et al. ATZ Autotechnol (2009) 9: 66 (IAV GmbH) 
  • Lafossas, F., Matsuda, Y., Mohammadi, A., Morishima, A. et al., “Calibration and Validation of a Diesel Oxidation Catalyst Model: from Synthetic Gas Testing to Driving Cycle Applications,” SAE Int. J. Engines 4(1):1586-1606, 2011 (Toyota Motor Europe) 
  • Schrade, F., Brammer, M., Schaeffner, J., Langeheinecke, K. et al., “Physico-Chemical Modeling of an Integrated SCR on DPF (SCR/DPF) System” SAE Int. J. Engines 5(3):958-974, 2012 (IAV GmbH) 
  • Faltsi R., Mutyal J., “Confidence in modeling SCR aftertreatment systems”, 2012 Automotive Simulation World Congress (ANSYS Inc) 
  • Lefort, I. and Tsolakis, A., “A Thermally Efficient DOC Configuration to Improve CO and THC Conversion Efficiency” SAE Technical Paper 2013-01-1582, 2013 (Univ. of Birmingham)  
  • Adelberg, S., Schrade, F., Eckert, P., and Kraemer, L., “Model Based Exhaust Aftertreatment System Integration for the Development and Calibration of Ultra-Low Emission Concepts” SAE Technical Paper 2014-01-1554, 2014 (IAV GmbH) 
  • Pedlow, A., McCullough, G., Goguet, A., and Hansen, K., “Optimization of Kinetic Parameters for an Aftertreatment Catalyst” SAE Technical Paper 2014-01-2814, 2014 (Queen’s University of Belfast, Jaguar Land Rover) 
  • Benjamin, S. and Roberts, C., “Methodology for Modelling a Combined DPF and SCR Catalyst with the Porous Medium Approach in CFD”SAE Int. J. Engines 7(4):1997-2011, 2014 (Coventry Univ.) 
  • Hamedi, M., Tsolakis, A., and Herreros, J., “Thermal Performance of Diesel Aftertreatment: Material and Insulation CFD Analysis,” SAE Technical Paper 2014-01-2818, 2014 (Univ. of Birmingham) 
  • Vadim Strots, Atsushi Kishi, Stephan Adelberg, Lutz Krämer, “Application of integrated SCR/DPF systems in commercial vehicles”, JSAE Annual Congress, 2014 (IAV GmbH) 
  • Haralampous, O. and Kontzias, T. (2014), Approximate pressure drop and filtration efficiency expressions for semi-open wall-flow channels. Can. J. Chem. Eng., 92: 1517–1525 (Technological institute of Larissa) 
  • Boger, T., Rose, D., Nicolin, P. et al., “Oxidation of Soot in Particulate Filters Operated on Gasoline Engines”, Emiss. Control Sci. Technol. (2015) 1: 49 (Corning Inc) 
  • Nicolin, P., Rose, D., Kunath, F., and Boger, T., “Modeling of the Soot Oxidation in Gasoline Particulate Filters” SAE Int. J. Engines 8(3):1253-1260, 2015 (Corning Inc) 
  • Marchitti, F., Nova, I., Forzatti, P. et al., “A System Simulation Study of the Enhanced-SCR Reaction”, Top Catal (2016) 59: 913 (Politechnico di Milano) 
  • Olowojebutu, S. and Steffen, T., “A Review of the Literature on Modelling of Integrated SCR-in-DPF Systems” SAE Technical Paper 2017-01-0976, 2017 (Loughborough Univ.) 
  • Gelbert, G., Friedrichs, O., Heß, D. et al., “NH3 Filling Level Control for SCR Catalysts on the Basis of Real-time- capable Physical Models”, MTZ Worldw (2017) 78: 60 (IAV GmbH) 
  • Christiansen, T., Jensen, J., Åberg, A., Abildskov, J. et al., “Methodology for Developing a Diesel Exhaust After Treatment Simulation Tool”, SAE Int. J. Commer. Veh. 11(1):2018 (Technical University of Denmark) 
  • M. Pilar Orihuela, Onoufrios Haralampous, Ricardo Chacartegui, Miguel Torres García and Julián Martínez-Fernández, “Numerical Simulation of a Wall-Flow Particulate Filter Made of Biomorphic Silicon Carbide Able to Fit Different Fuel/Biofuel Inputs”, Processes 2019, 7, 945. (Universidad de Sevilla, University of Thessaly) 
  • Di Maio, D, et al., “Methane Conversion and Ammonia Formation Model over a Pd-Rh Three-Way Catalyst for CNG Heavy-Duty Engines”, SAE technical paper, 15th International Conference on Engines & Vehicles, Capri Napoli, Italy, https://saemobilus.sae.org/content/2021-24-0002/. (CNR STEMS) 
  • Ben J. Jensen, Kenneth G. Rappé, “Passive Soot Oxidation Improvement in an SCR Coated DPF Through Adding an Additional SCO Catalyst”, CLEERS Workshop 2020. (Pacific Northwest National Laboratory) 

 

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