J.F.J. Pruyn
Please Note
33 records found
1
Design for Production
A Decision-Support Framework for Early-Stage Cost Reduction in One-Off Steel Superyacht Hull Structures
To address the research objectives, a mixed-methods research approach was adopted, consisting of a qualitative phase and a quantitative phase. The qualitative phase focused on the evaluation, elimination, and prioritisation of DfP guidelines identified in the literature. This was achieved through an expertbased multi-criteria analysis, in which guidelines were assessed with respect to their importance, applicability, and expected cost reduction (IAR). This step enabled a context-specific filtering of broadly formulated DfP knowledge, reducing fragmentation and focusing the analysis on guidelines considered most relevant for one-off superyacht hull construction.
Production cost reduction was found to be primarily governed by a limited number of dominant production-oriented KPIs, of which part count emerged as the most influential due to its direct effect on welding effort, assembly time, and with that labour intensity, and production lead time. Coordinated increases in plate thickness and stiffener spacing reduced part count and resulted in panel-level production cost reductions of up to 23%, which translate to estimated overall production cost reductions of approximately 10–15% for hull stiffening. These reductions were achieved without compromising structural integrity or quality, confirming that the primary value of Design for Production lies in supporting informed early-stage design decision-making rather than identifying a single optimal solution. ...
To address the research objectives, a mixed-methods research approach was adopted, consisting of a qualitative phase and a quantitative phase. The qualitative phase focused on the evaluation, elimination, and prioritisation of DfP guidelines identified in the literature. This was achieved through an expertbased multi-criteria analysis, in which guidelines were assessed with respect to their importance, applicability, and expected cost reduction (IAR). This step enabled a context-specific filtering of broadly formulated DfP knowledge, reducing fragmentation and focusing the analysis on guidelines considered most relevant for one-off superyacht hull construction.
Production cost reduction was found to be primarily governed by a limited number of dominant production-oriented KPIs, of which part count emerged as the most influential due to its direct effect on welding effort, assembly time, and with that labour intensity, and production lead time. Coordinated increases in plate thickness and stiffener spacing reduced part count and resulted in panel-level production cost reductions of up to 23%, which translate to estimated overall production cost reductions of approximately 10–15% for hull stiffening. These reductions were achieved without compromising structural integrity or quality, confirming that the primary value of Design for Production lies in supporting informed early-stage design decision-making rather than identifying a single optimal solution.
Decision Support for Emission Compliance
Design of decision support model for sustainable combinations of Anthony Veder
To support this, a decision support tool was developed to help find the most cost-effective way to comply. The tool looks at four main criteria: regulations, costs, technical options, and safety. A Python script runs in the background and the results are shown clearly in an Excel file to give useful insights.
A case study was done for small gas carriers that sail in European waters. For older ships, the cheapest way to comply is by using fuel-saving methods like Just-In-Time arrival or extra hull cleaning. For newer ships, the cost from FuelEU rules will go up a lot after 2035. That means it makes sense to choose a solution that avoids these extra costs. Based on the case, the advice is to use the alternative fuel LPG combined with a fuel-saving measure. However, this will only start saving money after 2032. A good approach could be to first use the cheaper options and then look at switching to alternative fuels after 2032. ...
To support this, a decision support tool was developed to help find the most cost-effective way to comply. The tool looks at four main criteria: regulations, costs, technical options, and safety. A Python script runs in the background and the results are shown clearly in an Excel file to give useful insights.
A case study was done for small gas carriers that sail in European waters. For older ships, the cheapest way to comply is by using fuel-saving methods like Just-In-Time arrival or extra hull cleaning. For newer ships, the cost from FuelEU rules will go up a lot after 2035. That means it makes sense to choose a solution that avoids these extra costs. Based on the case, the advice is to use the alternative fuel LPG combined with a fuel-saving measure. However, this will only start saving money after 2032. A good approach could be to first use the cheaper options and then look at switching to alternative fuels after 2032.
Maintenance Policy Comparison
Within the Royal Netherlands Navy
The main objective of this research is to compare various vertical wave run-up load models, focusing on their prediction accuracy and computational efficiency.
First the wave run-up heights and wave run-up loads of analytical models are compared to each other. These results are calculated with the maximum wave heights and water depths on the Dogger Bank. It can be seen that the wave run-up heights and therefore the wave run-up loads are unrealistically high. The main reason for this is that the analytical models are used outside the boundaries where they are validated for. This leads to less reliable results.
Theoretical and numerical limitations are in this thesis to increase the reliability of the results. ...
The main objective of this research is to compare various vertical wave run-up load models, focusing on their prediction accuracy and computational efficiency.
First the wave run-up heights and wave run-up loads of analytical models are compared to each other. These results are calculated with the maximum wave heights and water depths on the Dogger Bank. It can be seen that the wave run-up heights and therefore the wave run-up loads are unrealistically high. The main reason for this is that the analytical models are used outside the boundaries where they are validated for. This leads to less reliable results.
Theoretical and numerical limitations are in this thesis to increase the reliability of the results.
Techno-Economic Feasibility and Business Case for the Offshore Green FPSO
Towards a Net-Zero Green Hydrogen Supply Chain
The results of the study reveal LCOH values of 4.05-6.52[€/kg] for the time period of 2020-2050. The lowest cost was observed in the GH2 pipeline configuration, followed by NH3 shipping. The pipeline configuration required implementation closer to shore, while the shipping configuration correlates with the location of highest energy availability in the weather data. The greatest portion of the overall costs in all scenarios originated from wind turbines used for energy generation. Conversion process costs formed another significant component of the total costs in the scenarios involving NH3 and LH2. Sufficient reduction of these conversion costs could enable a more competitive performance from the corresponding configurations. Based on the criteria framework, the strategy utilizing GH2 pipeline supply chain configuration performs best in terms of LCOH, CO2 emissions, and access, while NH3 shipping performs better in Commercial Readiness Index (CRI), Technological Readiness Index (TRL), Ease of Implementation (EoI), and in existing regulations. The significance of these strengths and weaknesses will vary depending on the weight attributed to the importance of the criterion by the decision making entity. ...
The results of the study reveal LCOH values of 4.05-6.52[€/kg] for the time period of 2020-2050. The lowest cost was observed in the GH2 pipeline configuration, followed by NH3 shipping. The pipeline configuration required implementation closer to shore, while the shipping configuration correlates with the location of highest energy availability in the weather data. The greatest portion of the overall costs in all scenarios originated from wind turbines used for energy generation. Conversion process costs formed another significant component of the total costs in the scenarios involving NH3 and LH2. Sufficient reduction of these conversion costs could enable a more competitive performance from the corresponding configurations. Based on the criteria framework, the strategy utilizing GH2 pipeline supply chain configuration performs best in terms of LCOH, CO2 emissions, and access, while NH3 shipping performs better in Commercial Readiness Index (CRI), Technological Readiness Index (TRL), Ease of Implementation (EoI), and in existing regulations. The significance of these strengths and weaknesses will vary depending on the weight attributed to the importance of the criterion by the decision making entity.
This research addresses the challenge of designing an optimal configuration for such a swapping method based on the operational sailing profiles of RPA vessels. A systematic methodology was applied, starting with a literature review for the technical and operational issues. The findings highlighted the feasibility of implementing a Battery Energy Storage System (BESS) powered by lithium-ion batteries, supported by decentralised swapping and charging stations structure. Different concepts for the Battery Swapping Method (BSM) were considered from which the Shfitr concept was the most promising application for this thesis. The Shiftr concept uses cranes to automatically swap energy modules to and from vessels. Different optimisation methods were investigated to see which one best supports finding an optimal configuration (energy modules, swapping/charging stations and vehicle related). It was concluded that a Mixed Integer Linear Programming method could be best applied, with the objective to minimise downtime of the swapping process for different configurations.
A mathematical model for the optimisation model was developed to minimise downtime during swapping, incorporating historical AIS data to simulate the vessels’ operational profiles. This optimisation model can track both the vessel r and the modules m for each time t. This mathematical model is made in Gurobi (Python) and can, for different configurations, minimise the total swapping time for a given period of data. The configurations are used as input data, including the number of energy modules and the number/placement of swapping and charging stations based on the energy consumption of vessels and their sailing path defined during the pre-processing. Verification and validation confirmed the optimisation model was working, although computational challenges were observed when validating each individual vessel.
After verification and validation, two case studies were performed, which included multiple vessels. Due to the rapid increase in computational time, only two case studies were performed with two and three vessels, respectively. Except for the number of vessels, the configuration from the pre-processing was the same for both the case studies. For both cases, the number of swaps was in line with the expectations of each case and confirmed the working of the optimisation model. As the vessels only lost minutes on swapping while sailing for hours before the modules were depleted, a low swapping frequency was observed in the optimisation model. At the same time, there are too many swapping stations in the configuration, leading to a lot of unused energy modules.
In conclusion, the optimisation model can successfully optimise the sailing path to minimise swapping time, for a specific configuration. However, the research question of finding the optimal configuration could not be answered fully. Therefore, further research is needed to address computational limitations and to optimise module utilisation. This thesis provides a foundation for swapping renewable energy sources in modules, for relatively small vessels, which are operational 24/7. ...
This research addresses the challenge of designing an optimal configuration for such a swapping method based on the operational sailing profiles of RPA vessels. A systematic methodology was applied, starting with a literature review for the technical and operational issues. The findings highlighted the feasibility of implementing a Battery Energy Storage System (BESS) powered by lithium-ion batteries, supported by decentralised swapping and charging stations structure. Different concepts for the Battery Swapping Method (BSM) were considered from which the Shfitr concept was the most promising application for this thesis. The Shiftr concept uses cranes to automatically swap energy modules to and from vessels. Different optimisation methods were investigated to see which one best supports finding an optimal configuration (energy modules, swapping/charging stations and vehicle related). It was concluded that a Mixed Integer Linear Programming method could be best applied, with the objective to minimise downtime of the swapping process for different configurations.
A mathematical model for the optimisation model was developed to minimise downtime during swapping, incorporating historical AIS data to simulate the vessels’ operational profiles. This optimisation model can track both the vessel r and the modules m for each time t. This mathematical model is made in Gurobi (Python) and can, for different configurations, minimise the total swapping time for a given period of data. The configurations are used as input data, including the number of energy modules and the number/placement of swapping and charging stations based on the energy consumption of vessels and their sailing path defined during the pre-processing. Verification and validation confirmed the optimisation model was working, although computational challenges were observed when validating each individual vessel.
After verification and validation, two case studies were performed, which included multiple vessels. Due to the rapid increase in computational time, only two case studies were performed with two and three vessels, respectively. Except for the number of vessels, the configuration from the pre-processing was the same for both the case studies. For both cases, the number of swaps was in line with the expectations of each case and confirmed the working of the optimisation model. As the vessels only lost minutes on swapping while sailing for hours before the modules were depleted, a low swapping frequency was observed in the optimisation model. At the same time, there are too many swapping stations in the configuration, leading to a lot of unused energy modules.
In conclusion, the optimisation model can successfully optimise the sailing path to minimise swapping time, for a specific configuration. However, the research question of finding the optimal configuration could not be answered fully. Therefore, further research is needed to address computational limitations and to optimise module utilisation. This thesis provides a foundation for swapping renewable energy sources in modules, for relatively small vessels, which are operational 24/7.
Ships and especially yachts today are designed just for their immediate needs with no future consideration taken into account. This thesis addresses the need for adaptable power room designs in superyachts, facilitating the integration of zero-emission power generation systems as technology evolves. The primary aim is to develop a design method enabling easy retrofitting and future-proofing of yacht power rooms.
The research identifies the current design methods limitation where power rooms are designed for specific scenarios without considering future adaptability. To address this gap, the thesis proposes a three-step design method: layout concepts, design rationale, and a layout evaluation model. This model evaluates power room layouts based on Connection Costs and Retrofit Costs, offering indicators to assess future-proofing capabilities of power rooms arrangements.
A future-proof road-map based on four different scenarios was identified. By applying the design method to these scenarios, various layout concepts were developed, refined based on expert opinions and then evaluated with the model. The results highlight key practices for future-proofing power rooms, such as prioritizing connections between zero emissions power generation systems and auxiliary systems, pre-arranging transport equipment, and designing access openings to facilitate easy retrofitting.
This research underscores the need for a flexible approach to power room design, ensuring superyachts can transition smoothly to zero-emission operations in the coming years.
...
Ships and especially yachts today are designed just for their immediate needs with no future consideration taken into account. This thesis addresses the need for adaptable power room designs in superyachts, facilitating the integration of zero-emission power generation systems as technology evolves. The primary aim is to develop a design method enabling easy retrofitting and future-proofing of yacht power rooms.
The research identifies the current design methods limitation where power rooms are designed for specific scenarios without considering future adaptability. To address this gap, the thesis proposes a three-step design method: layout concepts, design rationale, and a layout evaluation model. This model evaluates power room layouts based on Connection Costs and Retrofit Costs, offering indicators to assess future-proofing capabilities of power rooms arrangements.
A future-proof road-map based on four different scenarios was identified. By applying the design method to these scenarios, various layout concepts were developed, refined based on expert opinions and then evaluated with the model. The results highlight key practices for future-proofing power rooms, such as prioritizing connections between zero emissions power generation systems and auxiliary systems, pre-arranging transport equipment, and designing access openings to facilitate easy retrofitting.
This research underscores the need for a flexible approach to power room design, ensuring superyachts can transition smoothly to zero-emission operations in the coming years.
Reducing risk exposure and financing cost by increasing delivery lead time
A Damen Shipyards case study
The core issue addressed is the trade-off between investment risk and customer satisfaction, as the proposed configurations increase delivery lead times. To quantify the costs associated with adapting delivery lead times, a Bill of Materials and Operations (BOMO) is utilised, combining the Bill of Materials (BOM) with the production sequence (Bill of Operations, BOO).
A mathematical algorithm is developed to calculate the financial effects of the configurations based on BOMO data. The model involves a three-step process: importing part data, merging BOM, BOO, supplier, and transport data into a BOMO dataset, and performing value analysis on the BOMO data to quantify risk exposure and financing costs over time.
The study’s findings indicate that while increasing delivery lead times, the MTO configuration significantly reduces the risk exposure and financing costs. The BOMO is a strategic tool for analysing material costs and delivery lead times, providing insights into the financial implications of different production strategies. The research concludes that the MTO configuration is viable for Damen’s tugboat production, balancing risk exposure, financing costs, and delivery lead times. ...
The core issue addressed is the trade-off between investment risk and customer satisfaction, as the proposed configurations increase delivery lead times. To quantify the costs associated with adapting delivery lead times, a Bill of Materials and Operations (BOMO) is utilised, combining the Bill of Materials (BOM) with the production sequence (Bill of Operations, BOO).
A mathematical algorithm is developed to calculate the financial effects of the configurations based on BOMO data. The model involves a three-step process: importing part data, merging BOM, BOO, supplier, and transport data into a BOMO dataset, and performing value analysis on the BOMO data to quantify risk exposure and financing costs over time.
The study’s findings indicate that while increasing delivery lead times, the MTO configuration significantly reduces the risk exposure and financing costs. The BOMO is a strategic tool for analysing material costs and delivery lead times, providing insights into the financial implications of different production strategies. The research concludes that the MTO configuration is viable for Damen’s tugboat production, balancing risk exposure, financing costs, and delivery lead times.
Efforts are being made to find a hydrogen carrier that closely resembles conventional oil-based products to comply with these regulations. All these fuels need to be produced with renewable energy sources, which have their efficiency losses. Renewable fuel production is only estimated to have a chemical efficiency of 50%.
Innovation in the shipping sector is necessary to reduce energy losses. The shipping sector fits the rules of rural society, where incremental innovations are preferred over radical changes. However, radical change is necessary to accomplish the energy transition in shipping. According to the DOI theory, innovators are the first group of adopters. Innovators are eager to try new ideas and have a cosmopolitan (global) network. These innovators will play a critical role in the energy transition in the shipping sector.
The study’s objective is to analyse if it is possible to influence a given adoption of the innovator. First, the research outlines the theoretical framework for the study. The literature search aims to determine a transition framework to answer the research sub-questions. The framework’s scope will be refined to the innovator group and the maritime sector. A case study will be conducted to test the defined framework, and factors outside the scope may be included if needed. The literature collection approach involves determining the philosophical framework before researching the sociological framework. The mainstream innovation and inclusive innovation frameworks have been identified from a philosophical perspective. The mainstream innovation framework focusing on radical and technological typology is more appropriate for the research study. Rogers’s sociological framework can be used to describe the adoption process. The Scopus search has been used to identify different theories, including spatial innovation frameworks, sectoral innovation systems (SIS), technological innovation systems (TIS), and path development. Finally, the study provides an overview of the innovation systems and their corresponding frameworks…… ...
Efforts are being made to find a hydrogen carrier that closely resembles conventional oil-based products to comply with these regulations. All these fuels need to be produced with renewable energy sources, which have their efficiency losses. Renewable fuel production is only estimated to have a chemical efficiency of 50%.
Innovation in the shipping sector is necessary to reduce energy losses. The shipping sector fits the rules of rural society, where incremental innovations are preferred over radical changes. However, radical change is necessary to accomplish the energy transition in shipping. According to the DOI theory, innovators are the first group of adopters. Innovators are eager to try new ideas and have a cosmopolitan (global) network. These innovators will play a critical role in the energy transition in the shipping sector.
The study’s objective is to analyse if it is possible to influence a given adoption of the innovator. First, the research outlines the theoretical framework for the study. The literature search aims to determine a transition framework to answer the research sub-questions. The framework’s scope will be refined to the innovator group and the maritime sector. A case study will be conducted to test the defined framework, and factors outside the scope may be included if needed. The literature collection approach involves determining the philosophical framework before researching the sociological framework. The mainstream innovation and inclusive innovation frameworks have been identified from a philosophical perspective. The mainstream innovation framework focusing on radical and technological typology is more appropriate for the research study. Rogers’s sociological framework can be used to describe the adoption process. The Scopus search has been used to identify different theories, including spatial innovation frameworks, sectoral innovation systems (SIS), technological innovation systems (TIS), and path development. Finally, the study provides an overview of the innovation systems and their corresponding frameworks……
In this study, an analysis of the inland shipping sector in South Holland and its challenges and opportunities regarding a transition to “zero-emission” shipping is performed, based on a life cycle assessment (LCA). This LCA compares the environmental impacts of the annual operations of a medium-size, short-route inland barge, comparing different engine technologies and energy carriers: diesel in a combustion engine, hydrogen (grey/blue/yellow) in a combustion engine, hydrogen (grey/blue/yellow) in a fuel cell-electric power system, and electricity in a battery-electric power system. Results are obtained for 2020, 2030, 2050, and 2100, based on the SSP2 pathway for future socio-economical development wherein the electricity grid mix decarbonises and fossil-based diesel is phased out in favour of biodiesel and synthetic diesel, and assessed using the EF v3.1 assessment family.
The results indicate that the most significant sources of emissions are barge operations (for combustion engines, especially for diesel, and most of all for older diesel engines) and the fuel supply chain (for diesel and hydrogen), as well as some contribution from the production of batteries (for the battery-electric alternative) and fuel cells (for the hydrogen fuel cell alternative). Contributions from the life cycle of the barge hull, lubricant and oil streams, and infrastructure are minor. The main contributor to climate change is CO2, and the main contributors to local health and environmental impacts are emissions of particulate matter (PM), NOx, and SOx.
For the selected case study barge, a battery-electric system provides the strongest reduction in environmental impact (climate change, acidification, photochemical oxidant formation, and PM formation) even with background data for 2020, and its advantage increases further as the electricity grid decarbonises. The battery-electric and hydrogen fuel cell systems are the only ones which can be labelled as “zero-emission”, although the life-cycle emissions of hydrogen are high in the short term and its advantage only becomes apparent beyond 2030.
Among the hydrogen variants assessed, yellow hydrogen – produced by electrolysis from the electricity grid – has the lowest life-cycle climate change impacts in the long term, although it is not a clear winner when considering local health and environmental effects (acidification, PM formation) from its production. A hydrogen fuel cell system provides a slight but consistent benefit over hydrogen combustion due to a higher efficiency and the absence of operational emissions.
Sensitivity analyses indicate that the advantage of a battery-electric solution disappears for barges transporting larger loads and sailing longer distances, due to the larger energy capacity this requires, and becomes entirely impractical for long routes, where a hydrogen fuel cell solution provides the lowest impacts overall. Hydrogen fuel cells lose their advantage over hydrogen combustion for barges requiring very high engine power due to the additional impacts from fuel cell production exceeding the reduction from emission-free operations... ...
In this study, an analysis of the inland shipping sector in South Holland and its challenges and opportunities regarding a transition to “zero-emission” shipping is performed, based on a life cycle assessment (LCA). This LCA compares the environmental impacts of the annual operations of a medium-size, short-route inland barge, comparing different engine technologies and energy carriers: diesel in a combustion engine, hydrogen (grey/blue/yellow) in a combustion engine, hydrogen (grey/blue/yellow) in a fuel cell-electric power system, and electricity in a battery-electric power system. Results are obtained for 2020, 2030, 2050, and 2100, based on the SSP2 pathway for future socio-economical development wherein the electricity grid mix decarbonises and fossil-based diesel is phased out in favour of biodiesel and synthetic diesel, and assessed using the EF v3.1 assessment family.
The results indicate that the most significant sources of emissions are barge operations (for combustion engines, especially for diesel, and most of all for older diesel engines) and the fuel supply chain (for diesel and hydrogen), as well as some contribution from the production of batteries (for the battery-electric alternative) and fuel cells (for the hydrogen fuel cell alternative). Contributions from the life cycle of the barge hull, lubricant and oil streams, and infrastructure are minor. The main contributor to climate change is CO2, and the main contributors to local health and environmental impacts are emissions of particulate matter (PM), NOx, and SOx.
For the selected case study barge, a battery-electric system provides the strongest reduction in environmental impact (climate change, acidification, photochemical oxidant formation, and PM formation) even with background data for 2020, and its advantage increases further as the electricity grid decarbonises. The battery-electric and hydrogen fuel cell systems are the only ones which can be labelled as “zero-emission”, although the life-cycle emissions of hydrogen are high in the short term and its advantage only becomes apparent beyond 2030.
Among the hydrogen variants assessed, yellow hydrogen – produced by electrolysis from the electricity grid – has the lowest life-cycle climate change impacts in the long term, although it is not a clear winner when considering local health and environmental effects (acidification, PM formation) from its production. A hydrogen fuel cell system provides a slight but consistent benefit over hydrogen combustion due to a higher efficiency and the absence of operational emissions.
Sensitivity analyses indicate that the advantage of a battery-electric solution disappears for barges transporting larger loads and sailing longer distances, due to the larger energy capacity this requires, and becomes entirely impractical for long routes, where a hydrogen fuel cell solution provides the lowest impacts overall. Hydrogen fuel cells lose their advantage over hydrogen combustion for barges requiring very high engine power due to the additional impacts from fuel cell production exceeding the reduction from emission-free operations...
Impacts of lifecycle perspectives in early stage ship design
Towards life cycle impacts optimization in conceptual ship design of offshore vessels
In 2018, greenhouse gas (GHG) emissions from shipping were estimated to account for 2.9% of global emissions, with projections indicating an increase of up to 44% by 2050 under various long-term energy and economic scenarios. In response, the International Maritime Organization (IMO) has set ambitious targets to reduce carbon intensity by at least 40% by 2030 and achieve net-zero GHG emissions around 2050. This research explores the potential and implications of integrating life cycle environmental performance evaluations into early-stage ship design, moving beyond the traditional “tank-to-wake” focus to encompass the entire life cycle of a vessel. Incorporating Life Cycle Assessments (LCA) into the design stage promises to optimize vessel design by addressing environmental and economic impacts across its full lifecycle, from construction to decommissioning. The primary objective of this report is to investigate the extent to which life cycle assessment optimization, based on cost and environmental impact, can be performed and implemented in the conceptual ship design of complex vessels, and to assess how it can support the development of new designs. This study presents an analysis of the lifecycle stages of ships and introduces Ulstein Design & Solutions B.V.’s innovative design tool, Blended. Through an extensive review of life cycle thinking methods, material and energy flow analyses, industrial ecology practices, and socio-economic impact assessments, the research establishes criteria for evaluating the applicability of these methodologies. A trade-off analysis guides the selection of an appropriate approach, leading to the development of a novel method to integrate life cycle assessments into the Blended Design tool. Key outcomes of the research include the identification of relevant life cycle assessment methodologies and their applicability to early-stage ship design. Additionally, an approach has been developed to integrate both cost- and GHG-emissions-based life cycle assessments into Blended, focusing on the shipbuilding and decommissioning phases. Furthermore, the study demonstrates how life cycle assessment integration can influence early design decisions, particularly by addressing the environmental and economic trade-offs that arise during construction and maintenance. The study emphasizes the importance of addressing lifecycle impacts in early-stage ship design to prevent burden shifting between lifecycle phases. It also highlights the need for robust data collection and the development of performance indicators tailored to specific ship designs to enable reliable assessments, despite the limited information available at the early stages of design. In conclusion, this research advances the understanding of how LCA can be applied in conceptual ship design to meet sustainability objectives. By enabling full lifecycle optimization within the Blended Design tool, it offers a pathway to creating vessel designs that balance environmental responsibility with economic viability, contributing to the maritime industry’s efforts to meet international decarbonization targets. ...
In 2018, greenhouse gas (GHG) emissions from shipping were estimated to account for 2.9% of global emissions, with projections indicating an increase of up to 44% by 2050 under various long-term energy and economic scenarios. In response, the International Maritime Organization (IMO) has set ambitious targets to reduce carbon intensity by at least 40% by 2030 and achieve net-zero GHG emissions around 2050. This research explores the potential and implications of integrating life cycle environmental performance evaluations into early-stage ship design, moving beyond the traditional “tank-to-wake” focus to encompass the entire life cycle of a vessel. Incorporating Life Cycle Assessments (LCA) into the design stage promises to optimize vessel design by addressing environmental and economic impacts across its full lifecycle, from construction to decommissioning. The primary objective of this report is to investigate the extent to which life cycle assessment optimization, based on cost and environmental impact, can be performed and implemented in the conceptual ship design of complex vessels, and to assess how it can support the development of new designs. This study presents an analysis of the lifecycle stages of ships and introduces Ulstein Design & Solutions B.V.’s innovative design tool, Blended. Through an extensive review of life cycle thinking methods, material and energy flow analyses, industrial ecology practices, and socio-economic impact assessments, the research establishes criteria for evaluating the applicability of these methodologies. A trade-off analysis guides the selection of an appropriate approach, leading to the development of a novel method to integrate life cycle assessments into the Blended Design tool. Key outcomes of the research include the identification of relevant life cycle assessment methodologies and their applicability to early-stage ship design. Additionally, an approach has been developed to integrate both cost- and GHG-emissions-based life cycle assessments into Blended, focusing on the shipbuilding and decommissioning phases. Furthermore, the study demonstrates how life cycle assessment integration can influence early design decisions, particularly by addressing the environmental and economic trade-offs that arise during construction and maintenance. The study emphasizes the importance of addressing lifecycle impacts in early-stage ship design to prevent burden shifting between lifecycle phases. It also highlights the need for robust data collection and the development of performance indicators tailored to specific ship designs to enable reliable assessments, despite the limited information available at the early stages of design. In conclusion, this research advances the understanding of how LCA can be applied in conceptual ship design to meet sustainability objectives. By enabling full lifecycle optimization within the Blended Design tool, it offers a pathway to creating vessel designs that balance environmental responsibility with economic viability, contributing to the maritime industry’s efforts to meet international decarbonization targets.
Modular Zero-Emission Incident Response Vessel
Concept for a zero-emission, modularized and standardized Incident Response Vessel, with optimized layout and functionalities for new fleet composition of the PoR
The study evaluates various ship design methods, focusing on modular design principles to assess how standardization and modularization can best apply to the new vessel design. Among several design approaches, Modular Function Deployment (MFD) was identified as the most suitable. A comprehensive analysis was conducted on all necessary inputs, tasks, functions, and requirements for an IRV, acknowledging that this vessel serves a specialized niche and cannot be treated as a standard vessel type. Due to this unique role, a detailed mapping of current systems onboard was necessary to identify which systems are no longer needed and which new systems are required. This structured analysis forms a foundation for the MFD model presented in the thesis.
Estimates for different alternative energy carriers were created based on scientific research and other data sources, identifying potential matches for the Port of Rotterdam. These estimates serve as a reference for assessing energy needs in the early design phases. By linking energy demands with specific energy carriers, the study enables the design of conceptual models. In addition to the developed model, visual sketches of systems and vessels provide concept designs that serve as visual aids for future decision-making, supporting the port's strategic planning.
This study employs MFD along with other ship design methods to identify strategies for flexible energy system integration, spatial layout efficiency, and operational effectiveness. MFD is applied to IRVs for the first time here, aiming to achieve a robust design that accommodates emission-free technologies such as electric propulsion and alternative fuels like methanol and hydrogen, while meeting functional and operational requirements.
The findings indicate that MFD provides a scalable and structured framework, enabling the Port of Rotterdam to maintain operational flexibility and comply with current and upcoming regulations. The research highlights that a swappable battery system is the most practical solution for immediate implementation, supporting both current tasks and future scalability. Additionally, modularity facilitates easier adaptation to technological advances, paving the way for long-term fleet evolution.
In conclusion, this thesis presents a viable strategy for the Port of Rotterdam to transition to a modular, emission-free IRV fleet that meets operational demands and adapts to emerging energy solutions, positioning the port as a leader in sustainable maritime innovation. ...
The study evaluates various ship design methods, focusing on modular design principles to assess how standardization and modularization can best apply to the new vessel design. Among several design approaches, Modular Function Deployment (MFD) was identified as the most suitable. A comprehensive analysis was conducted on all necessary inputs, tasks, functions, and requirements for an IRV, acknowledging that this vessel serves a specialized niche and cannot be treated as a standard vessel type. Due to this unique role, a detailed mapping of current systems onboard was necessary to identify which systems are no longer needed and which new systems are required. This structured analysis forms a foundation for the MFD model presented in the thesis.
Estimates for different alternative energy carriers were created based on scientific research and other data sources, identifying potential matches for the Port of Rotterdam. These estimates serve as a reference for assessing energy needs in the early design phases. By linking energy demands with specific energy carriers, the study enables the design of conceptual models. In addition to the developed model, visual sketches of systems and vessels provide concept designs that serve as visual aids for future decision-making, supporting the port's strategic planning.
This study employs MFD along with other ship design methods to identify strategies for flexible energy system integration, spatial layout efficiency, and operational effectiveness. MFD is applied to IRVs for the first time here, aiming to achieve a robust design that accommodates emission-free technologies such as electric propulsion and alternative fuels like methanol and hydrogen, while meeting functional and operational requirements.
The findings indicate that MFD provides a scalable and structured framework, enabling the Port of Rotterdam to maintain operational flexibility and comply with current and upcoming regulations. The research highlights that a swappable battery system is the most practical solution for immediate implementation, supporting both current tasks and future scalability. Additionally, modularity facilitates easier adaptation to technological advances, paving the way for long-term fleet evolution.
In conclusion, this thesis presents a viable strategy for the Port of Rotterdam to transition to a modular, emission-free IRV fleet that meets operational demands and adapts to emerging energy solutions, positioning the port as a leader in sustainable maritime innovation.
Defining the Offshore Wind Support Vessel Market and Simulating Vessel Demand in 2030
Forecasting offshore wind support vessel demand by defining the market drivers and using a factor model and Monte Carlo simulation
This research first defines the quantifiable factors influencing the need for C/SOVs in offshore wind parks. These are the park parameters such as the distance to shore and the number of turbines in the park. These data are used in a factor model and Monte Carlo simulation to make an assumption on the required number of vessels. The results are then compared against qualitative factors influencing the need for C/SOVs indirectly.
Out of a high and a low case, the low case was shown to be the most likely fit for the research results. It showed that to serve the offshore wind market in 2030 between 122 and 138 vessels are needed, which is 12 to 28 more than currently are active or on order.
Considering the fact that the industry needs to adapt to a new market, it is crucial to know which factors drive that market and how they influence it. This project allows for researchers to dive further into these factors and research them in more detail. Further the research can assist industry players in their investment decisions and yards can accordingly plan capacity. ...
This research first defines the quantifiable factors influencing the need for C/SOVs in offshore wind parks. These are the park parameters such as the distance to shore and the number of turbines in the park. These data are used in a factor model and Monte Carlo simulation to make an assumption on the required number of vessels. The results are then compared against qualitative factors influencing the need for C/SOVs indirectly.
Out of a high and a low case, the low case was shown to be the most likely fit for the research results. It showed that to serve the offshore wind market in 2030 between 122 and 138 vessels are needed, which is 12 to 28 more than currently are active or on order.
Considering the fact that the industry needs to adapt to a new market, it is crucial to know which factors drive that market and how they influence it. This project allows for researchers to dive further into these factors and research them in more detail. Further the research can assist industry players in their investment decisions and yards can accordingly plan capacity.
This thesis addresses the integration of onboard BESS with a shore power system. More specifically, by presenting a cost-effective energy management system (EMS) that uses a stochastic approximation to define the charging and discharging decisions based on electricity prices. Additionally, the system takes the uncertainty of wind power production into account and reduces the power strain on the grid. Besides this, the research provides an analysis of the battery parameters that influence the cost-reducing ability of the EMS. As a result, the additional cost reduction presented while at berth may allow for previously uneconomical investments in onboard BESS for SSCV operators.
The wait-and-see (WS) approach was applied to provide an optimal energy scheduling solution with regard to uncertainty in wind power generation. Within the WS, three strategies were applied. By optimally scheduling a 5MWh BESS, the arbitrage, arbitrage + peak shaving, and peak shaving strategies respectively achieved a 1.4%, 15.7%, and 10.2% yearly reduction in electricity costs for the vessel operator during a 100-day stay in port. ...
This thesis addresses the integration of onboard BESS with a shore power system. More specifically, by presenting a cost-effective energy management system (EMS) that uses a stochastic approximation to define the charging and discharging decisions based on electricity prices. Additionally, the system takes the uncertainty of wind power production into account and reduces the power strain on the grid. Besides this, the research provides an analysis of the battery parameters that influence the cost-reducing ability of the EMS. As a result, the additional cost reduction presented while at berth may allow for previously uneconomical investments in onboard BESS for SSCV operators.
The wait-and-see (WS) approach was applied to provide an optimal energy scheduling solution with regard to uncertainty in wind power generation. Within the WS, three strategies were applied. By optimally scheduling a 5MWh BESS, the arbitrage, arbitrage + peak shaving, and peak shaving strategies respectively achieved a 1.4%, 15.7%, and 10.2% yearly reduction in electricity costs for the vessel operator during a 100-day stay in port.
With this idea in mind, the regional goal of the Pacific nations was set for a decrease in carbon dioxide emissions from shipping by 40% until 2030 and complete decarbonization until 2050. A possible solution proposed by the local organizations such as USP and MCST is the implementation of Wind assisted ship propulsion (WASP) on existing and new built vessels. In that regard, a collaboration was initiated between TU Delft and the University of South Pacific to assist by developing a methodology and a practical tool that can assess the technical performance and environmental, economic, and societal impact of WASPs. For this reason, this thesis investigates the applicability of WASPs in the South Pacific Maritime Transport using a proven vessel, Sailing Vessel Kwai, as the main case study.
The method employed for the overall research was an adaptation of the Life Cycle Impact Assessment (LCIA). The LCIA encompasses the environmental impact from cradle to scrap of a certain product. The present study considered only the operational cycle of the vessel's hybrid propulsion and its impact on the triple-bottom-line items. Aspects such as the impact of manufacturing, scraping, painting or machinery waste have not been included and need further research to conclude the LCIA. The conceptualized methodology represented the theoretical foundation for the development of a practical Excel tool that assesses the technical performance of the hybrid propulsion, fuel and emissions output, norms compliance and ship finances. The novelty of the research stands in the assessment of SV Kwai from an academic perspective. Empirical methods and frameworks were used for the impact on society, ship finances and the environment. The results of the case study are promising for the future of shipping in the South Pacific region. Even though SV Kwai has the hull of a 71 years old fishing vessel and is retrofitted with sails and an oversized engine, it still accomplishes tremendous fuel reduction of around 37% per voyage. The calculations have shown that a similar trend line is encountered for the CO2 and SOx emissions. From an environmental and policy-making perspective, SV Kwai fits within the international emissions EEDI chart, CII chart mile and in the CATCH index. EEDI and CII parameters were calculated with regard to reference line formulas provided by the IMO for general cargo vessels.
Overall, the present research is an indication of an early-stage WASP design performance and its impact on the local South Pacific region. Several conclusions have been drawn with regard to the future of WASP technology in the region and its applicability.
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With this idea in mind, the regional goal of the Pacific nations was set for a decrease in carbon dioxide emissions from shipping by 40% until 2030 and complete decarbonization until 2050. A possible solution proposed by the local organizations such as USP and MCST is the implementation of Wind assisted ship propulsion (WASP) on existing and new built vessels. In that regard, a collaboration was initiated between TU Delft and the University of South Pacific to assist by developing a methodology and a practical tool that can assess the technical performance and environmental, economic, and societal impact of WASPs. For this reason, this thesis investigates the applicability of WASPs in the South Pacific Maritime Transport using a proven vessel, Sailing Vessel Kwai, as the main case study.
The method employed for the overall research was an adaptation of the Life Cycle Impact Assessment (LCIA). The LCIA encompasses the environmental impact from cradle to scrap of a certain product. The present study considered only the operational cycle of the vessel's hybrid propulsion and its impact on the triple-bottom-line items. Aspects such as the impact of manufacturing, scraping, painting or machinery waste have not been included and need further research to conclude the LCIA. The conceptualized methodology represented the theoretical foundation for the development of a practical Excel tool that assesses the technical performance of the hybrid propulsion, fuel and emissions output, norms compliance and ship finances. The novelty of the research stands in the assessment of SV Kwai from an academic perspective. Empirical methods and frameworks were used for the impact on society, ship finances and the environment. The results of the case study are promising for the future of shipping in the South Pacific region. Even though SV Kwai has the hull of a 71 years old fishing vessel and is retrofitted with sails and an oversized engine, it still accomplishes tremendous fuel reduction of around 37% per voyage. The calculations have shown that a similar trend line is encountered for the CO2 and SOx emissions. From an environmental and policy-making perspective, SV Kwai fits within the international emissions EEDI chart, CII chart mile and in the CATCH index. EEDI and CII parameters were calculated with regard to reference line formulas provided by the IMO for general cargo vessels.
Overall, the present research is an indication of an early-stage WASP design performance and its impact on the local South Pacific region. Several conclusions have been drawn with regard to the future of WASP technology in the region and its applicability.
Inner city cargo vessels
A decision support tool for the development of new zero emission inner city cargo vessels
The Seafaring Applied Impact Ladder
A lifecycle approach to mitigating environmental impacts in sailing cruise lifecycle systems
In this design-oriented research report the Seafaring Applied Impact Ladder (SAIL) is introduced. This framework makes use of fast track-LCA methodology for determining systemwide impact distribution and mitigation pathways for major impact contributors in sailing cruise lifecycle systems. By applying the SAIL to a case study sailing cruise voyage on board the Clipper Stad Amsterdam (CSA), insights in impact distribution and feasible impact reduction emerge.
The case study found that a passengers’ fuel related carbon footprint is greater for conventional cruises than for a sailing cruise on board the CSA. In the SAILs systemwide assessment however, fuel-related impacts remain the major culprit for all three included indicators. Food consumption and crew flights generate a considerable additional share of systemwide impacts. For fuel combustion and food consumption, technological substitution can result in feasible impact reduction, which is quantified in the fourth step of the case study.
The SAIL proves itself a useful and improvement focused approach for impact assessment in sailing cruise lifecycle systems. The presented procedures form a straightforward approach from which practical inferences for impact reduction follow. Further application of the framework in case studies will contribute to sustainable development in (sailing) cruises and broadens the scientific domain of impact assessment.
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In this design-oriented research report the Seafaring Applied Impact Ladder (SAIL) is introduced. This framework makes use of fast track-LCA methodology for determining systemwide impact distribution and mitigation pathways for major impact contributors in sailing cruise lifecycle systems. By applying the SAIL to a case study sailing cruise voyage on board the Clipper Stad Amsterdam (CSA), insights in impact distribution and feasible impact reduction emerge.
The case study found that a passengers’ fuel related carbon footprint is greater for conventional cruises than for a sailing cruise on board the CSA. In the SAILs systemwide assessment however, fuel-related impacts remain the major culprit for all three included indicators. Food consumption and crew flights generate a considerable additional share of systemwide impacts. For fuel combustion and food consumption, technological substitution can result in feasible impact reduction, which is quantified in the fourth step of the case study.
The SAIL proves itself a useful and improvement focused approach for impact assessment in sailing cruise lifecycle systems. The presented procedures form a straightforward approach from which practical inferences for impact reduction follow. Further application of the framework in case studies will contribute to sustainable development in (sailing) cruises and broadens the scientific domain of impact assessment.
This research investigates plastic deformation initiated by a rolling and a three point bending machine forming a saddle shaped plate. A 2Doptimization for the three point bending process is performed using beam theory. A single bend is validated by a 2D Finite Element Analysis (FEA). The rolling process is analytically described by equations obtained from literature. These equations are used to find a relation between the material stretching/membrane strains and the rolling forces. Furthermore, an elastic perfectly plastic stress strain curve is used. Material hardening and residual stresses due to repeated bending or rolling operations are not taken into account.
The bending optimization resulted in the least number of bending operations needed over a cross section, assuming the cross section behaves like a beam. The rolling equations resulted in required rolling forces for a desired membrane strain. The craftsmen know by experience that bending operations should be performed first to initiate a first curvature. Thereafter, the plate is rolled to initiate the second curvature and form the saddle shape.
In this thesis, the first steps are taken to capture and predict the manual forming process of double curvature steel plates. Future work on this topic should take the 3D-effects of the three point bending into account which lead to more accurate analytical descriptions. Furthermore, other assumptions could be analyzed to get better understanding of their contribution.
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This research investigates plastic deformation initiated by a rolling and a three point bending machine forming a saddle shaped plate. A 2Doptimization for the three point bending process is performed using beam theory. A single bend is validated by a 2D Finite Element Analysis (FEA). The rolling process is analytically described by equations obtained from literature. These equations are used to find a relation between the material stretching/membrane strains and the rolling forces. Furthermore, an elastic perfectly plastic stress strain curve is used. Material hardening and residual stresses due to repeated bending or rolling operations are not taken into account.
The bending optimization resulted in the least number of bending operations needed over a cross section, assuming the cross section behaves like a beam. The rolling equations resulted in required rolling forces for a desired membrane strain. The craftsmen know by experience that bending operations should be performed first to initiate a first curvature. Thereafter, the plate is rolled to initiate the second curvature and form the saddle shape.
In this thesis, the first steps are taken to capture and predict the manual forming process of double curvature steel plates. Future work on this topic should take the 3D-effects of the three point bending into account which lead to more accurate analytical descriptions. Furthermore, other assumptions could be analyzed to get better understanding of their contribution.