R.D. Geertsma
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13 records found
1
This dissertation addresses the growing need for sustainable marine fuels by exploring premixed combustion strategies to adopt methanol in marine engines. Because low reactivity of methanol limits its suitability for conventional compression ignition (CI) diesel engines, alternative premixed combustion concepts emerge. Lean-burn spark-ignition (LBSI) and premixed dual-fuel (PRDF) strategies share a premixed combustion concept and robust ignition control. In addition to new engine design architectures, the ability to convert existing diesel platforms to premixed methanol combustion with only relatively minor modifications makes these concepts highly attractive. Given the long operational lifespan of marine engines, such retrofit capability can smoothen and accelerate maritime defossilization. To inform the development of retrofit and next-generation methanol marine engines, this research offers an in-depth examination of these engine technologies, elucidating their potential and limitations.
The primary objective of this dissertation is to develop an experimentally based thermodynamic analysis framework for premixed methanol engine technologies, linking in-cylinder pressure-based and combustion-informed heat release analysis with engine performance indicators. This framework is tailored to the two premixed concepts of LBSI and PRDF. Building on these frameworks, the overarching goal of the thesis is to enhance the understanding of the performance of methanol-fueled premixed concepts, including their distinct combustion behavior, stability limits, efficiency, and emission characteristics. To this end, the frameworks are applied to two marine engine testbeds through targeted experimental campaigns: 1) a 34.7 liter multi-cylinder LBSI engine, and 2) a 4.1 liter single-cylinder PRDF engine.
To realize this research goal, this dissertation first reviews the research landscape of methanol engines and establishes the conceptual basis for the subsequent analysis frameworks. Beyond conducting a comprehensive literature review and identifying research gaps in SI and PRDF methanol operation, the review clarifies the inconsistent terminology used for injection, ignition, and combustion strategies for methanol use. To further address this, a unified classification framework is proposed that links injection and ignition strategies to combustion modes.
Building on this foundation, this thesis introduces a combustion chamber geometry-and concept-driven combustion characterization framework for LBSI multi-cylinder engines and applies it in experimental campaigns using natural gas as a fuel, as the LBSI engine cannot yet run on methanol. By resolving the distinct combustion phasing and linking it to engine performance indicators, this research shows that advancing the transition point at which the flame enters the squish region improves combustion stability as well as brake thermal and combustion efficiency, albeit with increased heat losses and NOx formation. The experimental framework integrates a multi-stage Wiebe formulation as an additional quantitative diagnostic tool for characterizing dual-stage combustion behavior. Because the combustion-phasing framework is rooted in the premixed flame-propagation dynamics associated with the chamber geometry, rather than in fuel-specific properties only, its qualitative conclusions are expected to remain valid for methanol LBSI operation. To this end, the diagnostic approach is deemed conceptually suited for direct application in future methanol-LBSI engine experiments.
Subsequently, this dissertation proposes a methodological analysis framework tailored to methanol PRDF operation. This framework enables both qualitative and quantitative analysis of heat release profiles and is applied in an experimental campaign on the single-cylinder test engine operating at high methanol energy fractions (MEFs). The qualitative analysis reveals three distinct combustion modes—characterized by m-, h-, and n-shaped profiles—unique to methanol PRDF operation, and associates them with specific underlying mechanisms. A systematic quantitative method based on two heat release morphology indicators—the Combustion Mechanism Index (CMI) and Phase Magnitude Ratio (PMR)—is proposed to map and classify these combustion modes. Methanol PRDF operation achieves lower NOx emissions than diesel-only (DO) baseline operation, but at the expense of higher NO2/NO ratios and substantial rise in CO and UHC emissions. While transitioning from DO to methanol PRDF offers potential efficiency gains for marine engines, especially under high-load operation, combustion losses remain the primary barrier. Building on the investigation of MEF effects and leveraging the developed framework, this thesis explores certain boundary conditions to assess their potential in mitigating methanol PRDF challenges. The parametric analysis of intake temperature and intake/exhaust pressures highlights the critical role of boundary conditions in enabling high-MEF, high-load PRDF operation, especially for diesel engines with mechanically controlled injection. Increasing intake temperature enhances combustion, allowing MEF to reach 93% without significant penalties in heat losses or NOx emissions. Similarly, reducing intake pressure enriches the mixture and improves combustion efficiency without compromising the high temperature related aspects. The morphological analysis during this reduction reveals a transition from h-shaped to bell-shaped heat release profiles, indicating a shift in the dominant combustion mechanism from flame propagation toward premixed autoignition.
On a final note, this dissertation aims not only to advance understanding of premixed methanol combustion in large-bore engines but also to provide practical diagnostic methodologies that support research and development of marine power systems powered by sustainable fuels. Therefore, the developed frameworks are intended to be refined and expanded to other engines and fuels, and as such this thesis contributes to more sustainable shipping. ...
This dissertation addresses the growing need for sustainable marine fuels by exploring premixed combustion strategies to adopt methanol in marine engines. Because low reactivity of methanol limits its suitability for conventional compression ignition (CI) diesel engines, alternative premixed combustion concepts emerge. Lean-burn spark-ignition (LBSI) and premixed dual-fuel (PRDF) strategies share a premixed combustion concept and robust ignition control. In addition to new engine design architectures, the ability to convert existing diesel platforms to premixed methanol combustion with only relatively minor modifications makes these concepts highly attractive. Given the long operational lifespan of marine engines, such retrofit capability can smoothen and accelerate maritime defossilization. To inform the development of retrofit and next-generation methanol marine engines, this research offers an in-depth examination of these engine technologies, elucidating their potential and limitations.
The primary objective of this dissertation is to develop an experimentally based thermodynamic analysis framework for premixed methanol engine technologies, linking in-cylinder pressure-based and combustion-informed heat release analysis with engine performance indicators. This framework is tailored to the two premixed concepts of LBSI and PRDF. Building on these frameworks, the overarching goal of the thesis is to enhance the understanding of the performance of methanol-fueled premixed concepts, including their distinct combustion behavior, stability limits, efficiency, and emission characteristics. To this end, the frameworks are applied to two marine engine testbeds through targeted experimental campaigns: 1) a 34.7 liter multi-cylinder LBSI engine, and 2) a 4.1 liter single-cylinder PRDF engine.
To realize this research goal, this dissertation first reviews the research landscape of methanol engines and establishes the conceptual basis for the subsequent analysis frameworks. Beyond conducting a comprehensive literature review and identifying research gaps in SI and PRDF methanol operation, the review clarifies the inconsistent terminology used for injection, ignition, and combustion strategies for methanol use. To further address this, a unified classification framework is proposed that links injection and ignition strategies to combustion modes.
Building on this foundation, this thesis introduces a combustion chamber geometry-and concept-driven combustion characterization framework for LBSI multi-cylinder engines and applies it in experimental campaigns using natural gas as a fuel, as the LBSI engine cannot yet run on methanol. By resolving the distinct combustion phasing and linking it to engine performance indicators, this research shows that advancing the transition point at which the flame enters the squish region improves combustion stability as well as brake thermal and combustion efficiency, albeit with increased heat losses and NOx formation. The experimental framework integrates a multi-stage Wiebe formulation as an additional quantitative diagnostic tool for characterizing dual-stage combustion behavior. Because the combustion-phasing framework is rooted in the premixed flame-propagation dynamics associated with the chamber geometry, rather than in fuel-specific properties only, its qualitative conclusions are expected to remain valid for methanol LBSI operation. To this end, the diagnostic approach is deemed conceptually suited for direct application in future methanol-LBSI engine experiments.
Subsequently, this dissertation proposes a methodological analysis framework tailored to methanol PRDF operation. This framework enables both qualitative and quantitative analysis of heat release profiles and is applied in an experimental campaign on the single-cylinder test engine operating at high methanol energy fractions (MEFs). The qualitative analysis reveals three distinct combustion modes—characterized by m-, h-, and n-shaped profiles—unique to methanol PRDF operation, and associates them with specific underlying mechanisms. A systematic quantitative method based on two heat release morphology indicators—the Combustion Mechanism Index (CMI) and Phase Magnitude Ratio (PMR)—is proposed to map and classify these combustion modes. Methanol PRDF operation achieves lower NOx emissions than diesel-only (DO) baseline operation, but at the expense of higher NO2/NO ratios and substantial rise in CO and UHC emissions. While transitioning from DO to methanol PRDF offers potential efficiency gains for marine engines, especially under high-load operation, combustion losses remain the primary barrier. Building on the investigation of MEF effects and leveraging the developed framework, this thesis explores certain boundary conditions to assess their potential in mitigating methanol PRDF challenges. The parametric analysis of intake temperature and intake/exhaust pressures highlights the critical role of boundary conditions in enabling high-MEF, high-load PRDF operation, especially for diesel engines with mechanically controlled injection. Increasing intake temperature enhances combustion, allowing MEF to reach 93% without significant penalties in heat losses or NOx emissions. Similarly, reducing intake pressure enriches the mixture and improves combustion efficiency without compromising the high temperature related aspects. The morphological analysis during this reduction reveals a transition from h-shaped to bell-shaped heat release profiles, indicating a shift in the dominant combustion mechanism from flame propagation toward premixed autoignition.
On a final note, this dissertation aims not only to advance understanding of premixed methanol combustion in large-bore engines but also to provide practical diagnostic methodologies that support research and development of marine power systems powered by sustainable fuels. Therefore, the developed frameworks are intended to be refined and expanded to other engines and fuels, and as such this thesis contributes to more sustainable shipping.
Methanol sprays in marine internal combustion engines
A computational fluid dynamics approach
This PhD thesis addresses these challenges by developing a computational fluid dynamics (CFD) framework using CONVERGE-CFD, incorporating both Reynolds-Averaged Navier–Stokes (RANS) and Large Eddy Simulation (LES) approaches. The framework is used to analyse methanol spray behaviour in conditions relevant to marine engines, covering both port fuel injection (PFI) and direct injection (DI). The study begins with a literature review that introduces a unified classification of methanol injection and ignition strategies, clarifying existing definitions and identifying knowledge gaps. The modelling framework is then validated using experimental data and applied to investigate atomization, evaporation, and spray dynamics under different injection conditions. Results show that while higher injection pressures improve atomization, evaporation remains limited, and spray-wall interactions play a dominant role in mixture formation.
Further analysis under direct injection conditions reveals unique spray phenomena specific to methanol, such as plume collapse and sweeping, which are successfully captured through careful model calibration. The research also examines methanol use in dual-fuel engines, highlighting the significant cooling effect caused by its high latent heat. This cooling can reduce local temperatures by up to 100 K, potentially hindering combustion and increasing variability. Overall, the study provides a validated and efficient modelling framework that improves understanding of methanol spray behaviour and supports the optimisation of methanol-fuelled marine engines, contributing to the transition toward more sustainable maritime energy systems. ...
This PhD thesis addresses these challenges by developing a computational fluid dynamics (CFD) framework using CONVERGE-CFD, incorporating both Reynolds-Averaged Navier–Stokes (RANS) and Large Eddy Simulation (LES) approaches. The framework is used to analyse methanol spray behaviour in conditions relevant to marine engines, covering both port fuel injection (PFI) and direct injection (DI). The study begins with a literature review that introduces a unified classification of methanol injection and ignition strategies, clarifying existing definitions and identifying knowledge gaps. The modelling framework is then validated using experimental data and applied to investigate atomization, evaporation, and spray dynamics under different injection conditions. Results show that while higher injection pressures improve atomization, evaporation remains limited, and spray-wall interactions play a dominant role in mixture formation.
Further analysis under direct injection conditions reveals unique spray phenomena specific to methanol, such as plume collapse and sweeping, which are successfully captured through careful model calibration. The research also examines methanol use in dual-fuel engines, highlighting the significant cooling effect caused by its high latent heat. This cooling can reduce local temperatures by up to 100 K, potentially hindering combustion and increasing variability. Overall, the study provides a validated and efficient modelling framework that improves understanding of methanol spray behaviour and supports the optimisation of methanol-fuelled marine engines, contributing to the transition toward more sustainable maritime energy systems.
Protection of Shipboard DC systems
From capacitors to ultrafast devices
This research addresses protection challenges through a multi-stage investigation into shipboard DC systems and power electronics for DC protection. First, a
use case–based categorization of short-circuit events in primary DC systems is proposed. A detailed fault inventory is compiled using a reference 5 MW superyacht model, providing simulation-based short-circuit data for diverse operational scenarios. The study contributes: (1) a comprehensive short-circuit inventory, (2) a qualitative fault categorization, and (3) design recommendations for power converters in shipboard DC systems. This work emphasizes that systematic fault classification is critical to understanding the impact of different short circuits and to guiding both protective device design and regulatory evolution.
In parallel, the thesis advances the state of the art in DC fault protection hardware. A high-speed solid-state circuit breaker (SSCB) is developed, integrating
a latching current limiter to prevent unnecessary tripping during transient overcurrents. Supported by a custom gate driver and controller, the SSCB prototype
achieves a clearing time of approximately 200 ns, substantially reducing system stress during faults. Both SPICE simulations and experimental tests confirm its
capability to properly operate under diverse fault conditions while requiring low complexity upgrades.
Finally, a proof-of-concept DC–DC converter with embedded protection is demonstrated. The proposed protection module, based on the electronic capacitor concept, is integrated into a 10 kW bidirectional LLC converter. Placed in series with the DC-link capacitor, the module significantly reduces processed power and conduction losses compared to conventional series-breaker configurations. Experimental validation confirms that the approach is compatible with fuse-based selectivity strategies while offering rapid fault isolation and reduced design complexity.
Collectively, this thesis provides a comprehensive framework, from system-level fault categorization to device-level protection design, supporting the safe and scalable adoption of shipboard DC systems. The proposed solutions and prototypes contribute to addressing essential protection challenges, favoring the widespread adoption of DC systems in various applications, by offering more efficient, compact, and safe DC systems, which ultimately play an important role in the transition of energy for transportation in general. ...
This research addresses protection challenges through a multi-stage investigation into shipboard DC systems and power electronics for DC protection. First, a
use case–based categorization of short-circuit events in primary DC systems is proposed. A detailed fault inventory is compiled using a reference 5 MW superyacht model, providing simulation-based short-circuit data for diverse operational scenarios. The study contributes: (1) a comprehensive short-circuit inventory, (2) a qualitative fault categorization, and (3) design recommendations for power converters in shipboard DC systems. This work emphasizes that systematic fault classification is critical to understanding the impact of different short circuits and to guiding both protective device design and regulatory evolution.
In parallel, the thesis advances the state of the art in DC fault protection hardware. A high-speed solid-state circuit breaker (SSCB) is developed, integrating
a latching current limiter to prevent unnecessary tripping during transient overcurrents. Supported by a custom gate driver and controller, the SSCB prototype
achieves a clearing time of approximately 200 ns, substantially reducing system stress during faults. Both SPICE simulations and experimental tests confirm its
capability to properly operate under diverse fault conditions while requiring low complexity upgrades.
Finally, a proof-of-concept DC–DC converter with embedded protection is demonstrated. The proposed protection module, based on the electronic capacitor concept, is integrated into a 10 kW bidirectional LLC converter. Placed in series with the DC-link capacitor, the module significantly reduces processed power and conduction losses compared to conventional series-breaker configurations. Experimental validation confirms that the approach is compatible with fuse-based selectivity strategies while offering rapid fault isolation and reduced design complexity.
Collectively, this thesis provides a comprehensive framework, from system-level fault categorization to device-level protection design, supporting the safe and scalable adoption of shipboard DC systems. The proposed solutions and prototypes contribute to addressing essential protection challenges, favoring the widespread adoption of DC systems in various applications, by offering more efficient, compact, and safe DC systems, which ultimately play an important role in the transition of energy for transportation in general.
Energy Performance of Ships
An Operational Data-Driven Analysis, Modelling, and Optimisation Approach for Ship Energy Systems
First, this study examines the energy performance assessment of ships, discussing the limitations of existing energy efficiency measures such as the EEDI, EEXI, SEEMP, and CII, which do not fully account for operational and environmental uncertainties. It suggests a methodology to enrich datasets of operational data in case certain parameters are not logged, and it provides a number of qualitative and quantitative tools in the assessment of operational and environmental uncertainty, and energy performance, at a ship and component level. In this way, this methodology provides conclusions on design and operational decisions, such as the decision to equip vessels with hybrid propulsion.
Secondly, this research introduces a digital twin modelling approach for energy performance prediction using high-frequency operational data. This steady state approach combines statistical and well established first-principle techniques to model system components and compensate for the accuracy of sensors and uncertainties linked to information provided by the manufacturers and shipbuilder. Results demonstrate the effectiveness of the adopted approach to predict carbon intensity over more than seventy different and diverse actual sailing intervals with high accuracy. The model shows not only a mean absolute percentage error of less than 5% on predicting instant fuel consumption on both mechanical and electrical modes, but also a carbon intensity prediction accuracy within 2.5% with a 95% confidence interval, which justifies a significant improvement over traditional models.
Finally, this study examines the design optimisation of ship energy systems. Building on the conclusions of the previous chapters, it examines the topology selection and sizing problem for the case study class of vessels. This chapter proposes a robust multi-objective optimisation framework using actual sailing profiles. It proves its robustness using actual sailing profiles of different vessels of the same class, and it examines new designs with environmental, financial and technical objectives. Results highlight the importance of accounting for realistic operational and environmental conditions in the design of ship energy systems, but also the environmental and financial benefits of design by optimisation methods.
As a final note and recommendation, this dissertation encourages the collection and use of operational data in design and operational decisions, and it offers tools and directions in which carbon emissions of ship operations can be reduced in a financially and technically viable manner. ...
First, this study examines the energy performance assessment of ships, discussing the limitations of existing energy efficiency measures such as the EEDI, EEXI, SEEMP, and CII, which do not fully account for operational and environmental uncertainties. It suggests a methodology to enrich datasets of operational data in case certain parameters are not logged, and it provides a number of qualitative and quantitative tools in the assessment of operational and environmental uncertainty, and energy performance, at a ship and component level. In this way, this methodology provides conclusions on design and operational decisions, such as the decision to equip vessels with hybrid propulsion.
Secondly, this research introduces a digital twin modelling approach for energy performance prediction using high-frequency operational data. This steady state approach combines statistical and well established first-principle techniques to model system components and compensate for the accuracy of sensors and uncertainties linked to information provided by the manufacturers and shipbuilder. Results demonstrate the effectiveness of the adopted approach to predict carbon intensity over more than seventy different and diverse actual sailing intervals with high accuracy. The model shows not only a mean absolute percentage error of less than 5% on predicting instant fuel consumption on both mechanical and electrical modes, but also a carbon intensity prediction accuracy within 2.5% with a 95% confidence interval, which justifies a significant improvement over traditional models.
Finally, this study examines the design optimisation of ship energy systems. Building on the conclusions of the previous chapters, it examines the topology selection and sizing problem for the case study class of vessels. This chapter proposes a robust multi-objective optimisation framework using actual sailing profiles. It proves its robustness using actual sailing profiles of different vessels of the same class, and it examines new designs with environmental, financial and technical objectives. Results highlight the importance of accounting for realistic operational and environmental conditions in the design of ship energy systems, but also the environmental and financial benefits of design by optimisation methods.
As a final note and recommendation, this dissertation encourages the collection and use of operational data in design and operational decisions, and it offers tools and directions in which carbon emissions of ship operations can be reduced in a financially and technically viable manner.
Optimization study of a hybrid powertrain
Optimization of the system components and energy management of a zero-emission hydrogen powered boat
Unfortunately due to the complexity of these algorithms and due to lack of time the sizing and control problems are solved separately in this research. First, the system components of the plant are described and modeled. The components that are modeled are the battery, the fuel cells, and the DC/DC converter. To find the optimal energy management strategy an online optimization strategy is used. This is done because the problem is solved in real-time than and could be used in a real application. The strategy that is chosen to solve the control problem is the Equivalent Consumption Minimization Strategy (ECMS). This strategy translates the electrical energy from the battery into equivalent hydrogen consumption. For every timestep, the equivalent consumption is minimized by the ECMS. Because there are different variants of ECMS three of these variants are discussed and compared in the research. Also, two rule-based energy management strategies are compared. The sizing problem is described by linear equality and inequality constraints. The problem is solved by the Linprog function in Matlab. The objective of the sizing problem is to minimize the weight of the system components. The input in the sizing problem is the energy and power demand of the most energy intensive operational profile. After solving the sizing and control problem the results are combined and the different operational profiles are used as input to show the robustness of the optimization.
The three different energy management strategies all minimize the instantaneous equivalent consumption but show different behaviors when controlling the system components. The optimal energy management strategy is the Smooth Adaptive Penalty (SAP)-ECMS. With this controller, the fuel cells work on a steady operating point and ramp up and down the output power smoothly when necessary. Due to this behavior, the average efficiency of the fuel cell is the highest, and the hydrogen consumption is the lowest compared to the other controllers. The results of the sizing problem show that the weight will decrease when a bigger fuel cell is used in combination with a smaller battery. The consideration between a bigger fuel cell and a smaller battery is a consideration between lower weight and more hydrogen consumption. When a bigger fuel cell is used it is recommended to implement an optimal energy management strategy such as the SAP-ECMS to control the output power of the system components. This is preferable above a rule-based controller which can not find the optimal operating point at all timesteps. Even better energy management strategies may exist or could be made by combining different ECMS's. When the sizing and control problem are solved in a nested strategy more accurate results could be achieved. ...
Unfortunately due to the complexity of these algorithms and due to lack of time the sizing and control problems are solved separately in this research. First, the system components of the plant are described and modeled. The components that are modeled are the battery, the fuel cells, and the DC/DC converter. To find the optimal energy management strategy an online optimization strategy is used. This is done because the problem is solved in real-time than and could be used in a real application. The strategy that is chosen to solve the control problem is the Equivalent Consumption Minimization Strategy (ECMS). This strategy translates the electrical energy from the battery into equivalent hydrogen consumption. For every timestep, the equivalent consumption is minimized by the ECMS. Because there are different variants of ECMS three of these variants are discussed and compared in the research. Also, two rule-based energy management strategies are compared. The sizing problem is described by linear equality and inequality constraints. The problem is solved by the Linprog function in Matlab. The objective of the sizing problem is to minimize the weight of the system components. The input in the sizing problem is the energy and power demand of the most energy intensive operational profile. After solving the sizing and control problem the results are combined and the different operational profiles are used as input to show the robustness of the optimization.
The three different energy management strategies all minimize the instantaneous equivalent consumption but show different behaviors when controlling the system components. The optimal energy management strategy is the Smooth Adaptive Penalty (SAP)-ECMS. With this controller, the fuel cells work on a steady operating point and ramp up and down the output power smoothly when necessary. Due to this behavior, the average efficiency of the fuel cell is the highest, and the hydrogen consumption is the lowest compared to the other controllers. The results of the sizing problem show that the weight will decrease when a bigger fuel cell is used in combination with a smaller battery. The consideration between a bigger fuel cell and a smaller battery is a consideration between lower weight and more hydrogen consumption. When a bigger fuel cell is used it is recommended to implement an optimal energy management strategy such as the SAP-ECMS to control the output power of the system components. This is preferable above a rule-based controller which can not find the optimal operating point at all timesteps. Even better energy management strategies may exist or could be made by combining different ECMS's. When the sizing and control problem are solved in a nested strategy more accurate results could be achieved.
Assessing the impact of sustainable fuels for Large Surface Combatants
A comparison between sustainable methanol and diesel for the Future Air Defender of the Royal Netherlands Navy
Injection and Evaporation of 100% methanol
Experimental and simulation-based research into the injection and evaporation of 100% methanol for use in a port-injected spark-ignited ICE
This report investigates potential improvements of the injection system, to achieve complete evaporation in the air inlet of a port-fuel injection engine to avoid wall-wetting of the scavenger air receiver and inlet valve. As a result, the methanol-air mixture in the cylinder would become more homogeneous and able to provide 100% of the rated engine power. Earlier research indicated that the wall-wetting fuel film and its evaporation rate directly affect the air-fuel ratio of the in-cylinder mixture, stability of the combustion process, and overall engine performance. The study includes the development of an injection model simulating low-pressure port-fuel injection, similar to the system fitted on our Caterpillar test engine, and the development of a single-droplet evaporation model to gain inside into the evaporation process of 100% methanol.
Based on the performed experimental research, we conclude the average droplet size ranges between 100 and 120 μm. The average droplet speed was determined at ±35 m/s and the spray angle at 20°. At room temperature and pressure, the injection spray ended against the back-glass of the evaporation chamber, indicating almost none of the ethanol evaporates under these conditions. The injection length exceeds at least ±40 cm at atmospheric temperature and pressure, which is in line with the results of the single-droplet evaporation model. ...
This report investigates potential improvements of the injection system, to achieve complete evaporation in the air inlet of a port-fuel injection engine to avoid wall-wetting of the scavenger air receiver and inlet valve. As a result, the methanol-air mixture in the cylinder would become more homogeneous and able to provide 100% of the rated engine power. Earlier research indicated that the wall-wetting fuel film and its evaporation rate directly affect the air-fuel ratio of the in-cylinder mixture, stability of the combustion process, and overall engine performance. The study includes the development of an injection model simulating low-pressure port-fuel injection, similar to the system fitted on our Caterpillar test engine, and the development of a single-droplet evaporation model to gain inside into the evaporation process of 100% methanol.
Based on the performed experimental research, we conclude the average droplet size ranges between 100 and 120 μm. The average droplet speed was determined at ±35 m/s and the spray angle at 20°. At room temperature and pressure, the injection spray ended against the back-glass of the evaporation chamber, indicating almost none of the ethanol evaporates under these conditions. The injection length exceeds at least ±40 cm at atmospheric temperature and pressure, which is in line with the results of the single-droplet evaporation model.
Dynamic behaviour of a propulsion plant and its controller
With Hardware In the Loop
Towards energy efficient shipping
Using machine learning to support a ship's crew in energy efficient sailing
Charge air configurations for propulsion diesel engines aboard fast naval combatants
A simulation study on efficiency and performance
The operational profile of fast naval combatants for the RNLN requires that the ships operate on the diesel engines for 90 percent of the time, often in part load. In part load, the turbocharger cannot supply the engine with the right amount of charge air. This results in a limited operating envelope for the diesel engine, and a decreased efficiency in part load. This is caused by the matching of a turbocharger, which is a compromise between high efficiency in the design point, and off design performance. However, in part load, advanced charge air configurations can potentially resolve this and improve the results as shown by Grimmelius et al. [15] and Zhang et al. [56]
This study investigates the effect of advanced charge air configurations on the efficiency and acceleration performance of diesel engines in hybrid configurations aboard fast naval combatants. First, two mean value first principle diesel engine models based on the work of Geertsma et al. [12] were used to model the diesel engine. Next, the models were partly validated with ship data. We found that an approach using compressor maps and a motion based turbocharger model was most accurate. Then, a parallel-sequential turbocharger and a hybrid electric turbocharger were incorporated into the model. A hybrid turbocharger is a turbocharger with an electric machine coupled to the turbocharger shaft. The electric machine can increase the turbocharger speed to boost the charge air pressure in motor mode. Also, in generator mode excessive power from the turbocharger shaft can be taken out and utilized elsewhere. It was concluded that the application of advanced charge air configurations can significantly improve the engine efficiency in part load. For example, in a diesel hybrid propulsion configuration with power take-off this can lead to an efficiency increase of almost 10% at 20% load in comparison with a single charged engine. Furthermore, hybrid turbocharging enables extending the operating envelope of a parallel-sequential turbocharged engine with up to 25% at 60% engine speed. This enables the engine to deliver constant torque from 600 to 1000 rpm. With these concepts therefore, both improved efficiency and improved acceleration performance can be achieved.
...
The operational profile of fast naval combatants for the RNLN requires that the ships operate on the diesel engines for 90 percent of the time, often in part load. In part load, the turbocharger cannot supply the engine with the right amount of charge air. This results in a limited operating envelope for the diesel engine, and a decreased efficiency in part load. This is caused by the matching of a turbocharger, which is a compromise between high efficiency in the design point, and off design performance. However, in part load, advanced charge air configurations can potentially resolve this and improve the results as shown by Grimmelius et al. [15] and Zhang et al. [56]
This study investigates the effect of advanced charge air configurations on the efficiency and acceleration performance of diesel engines in hybrid configurations aboard fast naval combatants. First, two mean value first principle diesel engine models based on the work of Geertsma et al. [12] were used to model the diesel engine. Next, the models were partly validated with ship data. We found that an approach using compressor maps and a motion based turbocharger model was most accurate. Then, a parallel-sequential turbocharger and a hybrid electric turbocharger were incorporated into the model. A hybrid turbocharger is a turbocharger with an electric machine coupled to the turbocharger shaft. The electric machine can increase the turbocharger speed to boost the charge air pressure in motor mode. Also, in generator mode excessive power from the turbocharger shaft can be taken out and utilized elsewhere. It was concluded that the application of advanced charge air configurations can significantly improve the engine efficiency in part load. For example, in a diesel hybrid propulsion configuration with power take-off this can lead to an efficiency increase of almost 10% at 20% load in comparison with a single charged engine. Furthermore, hybrid turbocharging enables extending the operating envelope of a parallel-sequential turbocharged engine with up to 25% at 60% engine speed. This enables the engine to deliver constant torque from 600 to 1000 rpm. With these concepts therefore, both improved efficiency and improved acceleration performance can be achieved.
Tertiary Control of Hybrid Tugboats
Fuel savings assessment with equivalent consumption minimization strategy