Validation of an Emission Model for a Marine Diesel Engine with Data from Sea Operations

Abstract

In this study, a model is developed to simulate the dynamics of an internal combustion engine, and it is calibrated and validated against reliable experimental data, making it a tool that can effectively be adopted to conduct emission predictions. In this work, the Ricardo WAVE software is applied to the simulation of a particular marine diesel engine, a four-stroke engine used in the maritime field. Results from the bench tests are used for the calibration of the model. Finally, the calibration of the model and its validation with full-scale data measured at sea are presented. The prediction includes not only the classic engine operating parameters for a comparison with surveys but also an estimate of nitrogen oxide emissions, which are compared with similar results obtained with emission factors. The calibration of the model made it possible to obtain an overlap between the simulation results and real data with an average error of approximately 7% on power, torque, and consumption. The model provides encouraging results, suggesting further applications, such as in the study on transient conditions, coupling of the engine model with the ship model for a complete simulation of the operating conditions, and optimization studies on consumption and emissions. The availability of the emission data during the sea trial and validated simulation results are the strengths and novelties of this work.

Keywords

Simulation / Marine diesel engine model / Four-stroke engine / Exhaust emissions / Nitrogen oxide emissions / Sea trials

References

[1] Acanfora M, Cirillo A. A simulation model for ship response in flooding scenario. Proc Inst Mech Eng Part M: J Eng Mar Environ, 2017, 231(1): 153-164

[2] Adamo F, Andria G, Cavone G, De Capua C, Lanzolla A, Morello R, Spadavecchia M. Estimation of ship emissions in the port of Taranto. Measurement, 2014, 14: 982-988

[3] Altosole M, Figari M, Bagnasco A, Maffioletti L. Design and test of the propulsion control of the aircraft carrier "Cavour" using real-time hardware in the loop simulation. SISO European Simulation Interoperability Workshop 2007. EURO SIW, 2007, 2007: 67-74

[4] Altosole M, Figari M, Martelli M. Time-domain simulation for marine propulsion applications. Proceedings of the 2012 - Summer Computer Simulation Conference, SCSC 2012, Part of SummerSim 2012 Multiconfer, 2012, 44(10): 36-43

[5] Altosole M, Boote D, Brizzolara S, Viviani M. Integration of numerical modeling and simulation techniques for the analysis of towing operations of cargo ships. Int Rev Mech Eng, 2013, 7(7): 1236-1245

[6] Altosole M, Benvenuto G, Campora U, Laviola M, Zaccone R. Simulation and performance comparison between diesel and natural gas engines for marine applications. Proc Insti Mech Eng, Part M: J Eng Mar Environ, 2017, 231(2): 690-704

[7] Altosole M, Campora U, Figari M, Laviola M, Martelli M. A diesel engine modelling approach for ship propulsion real-time simulators. J Mar Sci Eng, 2019, 7(5): 138

[8] Amsden AA, Ramshaw JD, O’Rourke PJ, Dukowicz JK (1985) KIVA: a computer program for two and three-dimensional fluid flow with chemical reactions and fuel sprays. Report LA-10245-MS, Los Alamos National Laboratory

[9] Amsden AA, Butler TD, O’Rourke PJ (1987) KIVA-II computer program for transient multidimensional chemically reactive flows with sprays. Paper No. 872072, SAE, International Fall Fuels and Lubricants Meeting and Exhibition, November 1. https://doi.org/10.4271/872072

[10] Ault AP, Moore MJ, Furutani H, Prather KA. Impact of emissions from the Los Angeles port region on San Diego air quality during regional transport events. Environ Sci Technol, 2009, 43: 3500-3506

[11] Benvenuto G, Figari M, Moreira L, Guedes Soares C (2000) Dynamic modeling of waterjet propulsion plants. Cassella, P. Scamardella A. & Festinese G., (Eds.). Proceedings of the IX International Maritime Association of Mediterranean Congress (IMAM´00). Ischia, Italy, 52–60

[12] Boselli A, de Marco C, Mocerino L, Murena F, Quaranta F, Rizzuto E, Sannino A, Spinelli N, Xuan W (2019) Evaluating LIDAR sensors for the survey of emissions from ships at harbor. In: Practical Design of Ships and Other Floating Structures, Singapore, 784–796

[13] Campora U, Figari M. Numerical simulation of ship propulsion transients and full-scale validation. Proc Inst Mech Eng Part M: J Eng Mar Environ, 2003, 217(1): 41-52

[14] Chidambaram K, Thulasi V. Two zone modeling of combustion, performance and emission characteristics of a cylinder head porous medium engine with experimental validation. Multidiscip Model Mater Struct, 2016, 12(3): 495-513

[15] Cooper DA. Exhaust emissions from high-speed passenger ferries. Atmos Environ, 2001, 35(24): 4189-4200

[16] Damian V, Sandu A, Damian M, Potra FA, Carmichael GR (2017) Kinetic preprocessor. Available at http://people.cs.vt.edu/asandu/Software/Kpp/. [accessed 11/03/2021]

[17] Dobrucali E, Ergin S. An investigation of exhaust smoke dispersion for a generic frigate by numerical analysis and experiment. Proc Insti Mech Eng, Part M: J Eng Mar Environ, 2019, 233(1): 310-324

[18] Entec UK Limited Quantification of Emissions from Ships Associated with Ship Movements Between Ports in the European Community, 2002, Nortwich: Entec UK Limited

[19] Eyring V, Köhler H, van Aardenne J, Lauer A. Emissions from international shipping: 1. The last 50 years. J Geophys Res, 2005, 110: D17305

[20] Figari M, Soares CG (2009) Fuel consumption and exhaust emissions reduction by dynamic propeller pitch control. In: Analysis and Design of Marine Structures, CRC Press, 567–574

[21] Goodwin DG, Moffat HK, Speth RL (2009) Cantera: an object-oriented software toolkit for chemical kinetics, Thermodynamics, and Transport Processes, Vesion. 1.8

[22] Heywood JB. Combustion engine fundamentals, 1988, 1ª, Education: McGraw-Hill

[23] Hosoz M, Ertunc HM, Karabektas M, Ergen G. ANFIS modelling of the performance and emissions of a diesel engine using diesel fuel and biodiesel blends. Appl Therm Eng, 2013, 60(1-2): 24-32

[24] IMO (2007) International Maritime Organization 2007, Review of MARPOL Annex VI and the NOx Technical Code; Report on the outcome of the Informal Cross Government/Industry Scientific Group of Experts established to evaluate the effects of the different fuel options proposed under the revision of MARPOL Annex VI, 48

[25] IMO International Maritime Organization, and Marine Environment Protection Committee 2008, Report of the Working Group on Annex VI and the NO_x Technical Code, edited by B, 2008, London: Wood-Thomas

[26] Ircani A, Martelli M, Viviani M, Altosole M, Podenzana-Bonvino C, Grassi D. A simulation approach for planing boats propulsion and manoeuvrability. Transact R Inst Naval Architects Part B: Int J Small Craft Technol, 2016, 158: 27-42

[27] Ishida M, Ueki H, Matsumura N, Chen ZL. Diesel combustion analysis based on two-zone model. JSME Int J, Series B, 1996, 39(3): 185-192

[28] Kalender SS, Ergin S. An experimental investigation into the particulate emissions of a ferry fuelled with ultra-low sulfur diesel. J Mar Sci Technol, 2017, 25(5): 499-507

[29] Kristensen HO. Energy demand and exhaust gas emissions of marine engines. Clean Shipping Curr, 2012, 1(6): 18-26

[30] Lavoie GA, Heywood JB, Keck JC. Experimental and theoretical study of nitric oxide formation in internal combustion engines. Combust Sci Technol, 1970, 1970(1): 313-326

[31] Maftei C, Moreira L, Guedes Soares C. Simulation of the dynamics of a marine diesel engine. J Mar Eng Technol, 2009, 8(3): 29-43

[32] MEPC Reduction of GHG Emissions from Ships, Third IMO GHG Study 2014 Final Report. Tech. Rep. MEPC 67/INF.3, 2014, London: Marine Environment Protection Committee

[33] Michetti S, Ratto M, Spadoni A, Figari M, Altosole M, Marcilli G (2010) Ship control system wide integration and the use of dynamic simulation techniques in the Fremm project. In: IEEE Electrical Systems for Aircraft, Railway and Ship Propulsion, 1–6

[34] Murena F, Mocerino L, Quaranta F, Toscano D. Impact on air quality of cruise ship emissions in Naples, Italy. Atmos Environ, 2018, 187: 70-83

[35] Piaggio B, Viviani M, Martelli M, Figari M. Z-drive escort tug manoeuvrability model and simulation. Ocean Eng, 2019, 191: 106461

[36] Prati MV, Costagliola MA, Quaranta F, Murena F. Assessment of ambient air quality in the port of Naples. J Air Waste Manage Assoc, 2015, 65(8): 970-979

[37] Prpic-Orcic J, Vettor R, Faltinsen OM, Guedes Soares C. The influence of route choice and operating conditions on fuel consumption and CO₂ emission of ships. J Mar Sci Technol, 2016, 21(3): 434-457

[38] Quaranta F, Fantauzzi M, Coppola T, Battistelli L. The environmental impact of cruise ships in the port of Naples: analysis of the pollution level and possible solutions. J Mar Res, 2012, 9(3): 81-86

[39] Raptotasios SI, Sakellaridis NF, Papagiannakis RG, Hountalas DT. Application of a multi-zone combustion model to investigate the NOx reduction potential of twostroke marine diesel engines using EGR. Appl Energy, 2015, 157: 814-823

[40] Reaction Design (2017) Chemkin. Available at http://www.reactiondesign.com/products/chemkin/ chemkin-2/. (11/03/2021)

[41] Smith TWP, Jalkanen JP, Anderson BA, Corbett JJ, Faber J. Third IMO GHG Study 2014, 2014, London: International Maritime Organization (IMO)

[42] Tadros M, Ventura M, Guedes Soares C. Guedes Soares C, Dejhalla R, Pavletic D. Numerical simulation of a two-stroke marine diesel engine. Towards Green Marine Technology and Transport, 2015, London: Taylor & Francis Group, 609-617

[43] Tadros M, Ventura M, Guedes Soares C. Guedes Soares C, Santos TA. Assessment of the performance and the exhaust emissions of a marine diesel engine for different start angles of combustion. Maritime Technology and Engineering 3, 2016, London: Taylor & Francis Group, 769-775

[44] Tadros M, Ventura M, Guedes Soares C. Guedes Soares C, Teixeira AP. Surrogate models of the performance and exhaust emissions of marine diesel engines for ship conceptual design. Maritime Transportation and Harvesting of Sea Resources, 2018, London: Taylor & Francis Group, 105-112

[45] Tadros M, Ventura M, Guedes Soares C. Optimization procedure to minimize fuel consumption of a four-stroke marine turbocharged diesel engine. Energy, 2019, 168: 897-908

[46] Tadros M, Ventura M, Guedes Soares CG. A nonlinear optimization tool to simulate a marine propulsion system for ship conceptual design. Ocean Eng, 2020, 210: 107417

[47] Tadros M, Ventura M, Guedes Soares C. Data driven in-cylinder pressure diagram based optimization procedure. J Mar Sci Eng, 2020, 8(4): 294

[48] Tadros M, Ventura M, Guedes Soares C. Optimization of the performance of marine diesel engines to minimize the formation of SO _x emissions. J Mar Sci Appl, 2020, 19(3): 473-484

[49] Tadros M, Ventura M, Guedes Soares C, Lampreia S. Georgiev P, Guedes Soares C. Predicting the performance of a sequentially turbocharged marine diesel engine using ANFIS. Sustainable Development and Innovations in Marine Technologies, 2020, London: Taylor and Francis, 300-305

[50] Trodden DG, Haroutunian M. Effects of ship manœuvring motion on NO _X formation. Ocean Eng, 2018, 150: 234-242

[51] Vettor R, Tadros M, Ventura M, Guedes Soares C. Guedes Soares C, Santos TA. Influence of main engine control strategies on fuel consumption and emissions. Progress in Maritime Technology and Engineering, 2018, London: Taylor & Francis Group, 157-163

[52] Viana M, Hammingh P, Colette A, Querol X, Degraeuwe B, de Vlieger I, van Aardennee J. Impact of maritime transport emissions on coastal air quality in Europe. Atmos Environ, 2014, 90: 96-105

[53] Zaccone R, Altosole M, Figari M, Campora U. Guedes Soares C, Dejhalla R, Pavletic D. Diesel engine and propulsion diagnostics of a mini-cruise ship by using artificial neural networks. Towards Green Marine Technology and Transport, 2015, London: Taylor & Francis Group, 593-602

[54] Zel’dovich YB (1946) The oxidation of nitrogen in combustion explosions. Acta Physicochim URS 1946:21–577

Funding

Università degli Studi di Napoli Federico II