Knowledge

This report discusses the concept of governance, how to understand 'effective' governance, and a research plan for further studies of the effectiveness of and potential for improving governance at the regional and sub-regional level in the SEAwise regions (Baltic Sea, North Sea, Western Waters, and the Mediterranean Sea). The theoretical insights from the first two main parts inform and are merged into the research plan, forming the last part of the report. The work is based on the recognition that fisheries management in Europe is still struggling to deliver on its objectives relating to ecology, economy, and social considerations although improvements have been made over the last decades. On top of this, marine biodiversity and ecosystem integrity can be identified as pressing challenges, while climate change presents renewed uncertainties and risks.

Improved governance, appropriately designed for Ecosystem Based Fisheries Management (EBFM), is key to improving the system performance towards the societal objectives. Lack of appropriate measures towards cooperation between the EU, national, and regional levels has led to uncoordinated decision-making processes and prevented coherent management through the implementation and adoption of EU legislation, leading to lower than desired performance both of fisheries and environmental policies. Referring specifically to the involvement of stakeholders, the European Commission stresses the importance of transparency, cooperation, outreach, information, and inclusiveness in developing and implementing measures to ensure that all stakeholders, not least fishermen, have a say in the management process, and that their needs and concerns are considered (European Commission, 2023a). Improvement of what can broadly be defined as 'governance' is, thus, among the pathways that the European Commission has identified for improvements in the area.

This report discusses the concept of governance, how to understand 'effective' governance, and a research plan for further studies of the effectiveness of and potential for improving governance at the regional and sub-regional level in the SEAwise regions (Baltic Sea, North Sea, Western Waters, and the Mediterranean Sea). The theoretical insights from the first two main parts inform and are merged into the research plan, forming the last part of the report. The work is based on the recognition that fisheries management in Europe is still struggling to deliver on its objectives relating to ecology, economy, and social considerations although improvements have been made over the last decades. On top of this, marine biodiversity and ecosystem integrity can be identified as pressing challenges, while climate change presents renewed uncertainties and risks.

Improved governance, appropriately designed for Ecosystem Based Fisheries Management (EBFM), is key to improving the system performance towards the societal objectives. Lack of appropriate measures towards cooperation between the EU, national, and regional levels has led to uncoordinated decision-making processes and prevented coherent management through the implementation and adoption of EU legislation, leading to lower than desired performance both of fisheries and environmental policies. Referring specifically to the involvement of stakeholders, the European Commission stresses the importance of transparency, cooperation, outreach, information, and inclusiveness in developing and implementing measures to ensure that all stakeholders, not least fishermen, have a say in the management process, and that their needs and concerns are considered (European Commission, 2023a). Improvement of what can broadly be defined as 'governance' is, thus, among the pathways that the European Commission has identified for improvements in the area.

Fishing is a human activity with various social and economic implications. In most countries, those implications are key factors to consider when deciding on specific management strategies. In this report, the fisheries management strategies implemented in the different European marine regions are reviewed, and relevant indicators, models and tools that can be used to predict the effectiveness of these strategies, from a social and economic point of view are identified. The objective was to identify the critical social and economic aspects of fisheries, relevant social and economic indicators, and regionally-relevant management measures to be considered in the evaluations of different management strategies later in the project.

The scoping consultations and systematic reviews identified a long list of potentially relevant key social and economic aspects and management measures. Among these, the most frequently mentioned items identified in scoping with stakeholders were windfarms, employment/jobs, MPAs, food supply, small-scale fisheries, local communities and pollution. The systematic review identified landings (volume or value), effort (days at sea), fuel costs, number of vessels, profit, aspects of costs, economic performance, sustainability-resilience, compliance and capacity as frequently occurring topics. The fisheries management policies most frequently mentioned were effort control, landing obligation, Individual Transferable Quota (ITQ), MPAs and TAC. Among the papers analyzed, more than 30%, concerned the Mediterranean region, followed by Western Waters, the North Sea and the Baltic Sea, indicating a higher contribution of Mediterranean studies to the conclusions.

Aspects identified frequently in both scoping and in systematic reviews included MPAs and small-scale fisheries, which were all identified in both methods as frequently occurring. However, there were also aspects which appeared to be represented differently in the evaluations (e.g. employment and local communities) indicating discrepancies between the available knowledge and that sought by the end users.

The shipping industry is paramount for global economic growth by enabling the trading of enormous volumes of goods across the world. However, maritime transport is a huge and growing source of greenhouse gas emissions. Consequently, the shipping industry is required to speed up its environmental transition towards a zero-carbon emissions fleet. Alternative marine fuels, in combination with ship optimization in realistic operating conditions, could be a solution to reduce the marine ship emissions drastically.

The emissions of harmful gases and particulates from the engine increase when the ship operates in waves. This phenomenon is particularity problematic for lean-burn natural gas engines because of the increased amount of unburnt methane emitted. The solution to this problem requires studying the interaction between the ship hydrodynamics and the engine dynamics. For this purpose, a coupled engine-shaft-propeller model capable of predicting its performance in waves needs to be developed. At the same time, evaluating the ship propulsion system performance in realistic operating conditions is essential to estimate the installed power of the main engine and to optimize the ship voyage.

The purpose of the present work is to investigate the interaction between propeller loads and engine response of a ship sailing in realistic operating conditions. First, an investigation was carried out to determine the propeller model necessary to estimate the propulsive forces in waves. Second, a coupled propeller-engine model was built to evaluate how the environmental effects influence the ship propulsion system performance in terms of propulsive forces and unburnt methane released in theatmosphere. Third, the effect of waves on the propulsive coefficients was studied by conducting numerical simulations and model experiments.
The traditional method applied to compute the propeller performance in waves, knownas the quasi-steady approach, was adequate to estimate the propulsive forces in realistic operating conditions. The simulations performed with the coupled engine-propeller model proved that neglecting time-varying wake field, ship motions,and propeller close-to-or-breaking water effects would lead to a poor prediction of the propulsive forces in waves. The coupled engine-propeller model allowed determining that the amount of unburnt methane released in the atmosphere considerably increases when the ship operates in waves. The investigation conducted on the propulsive coefficients showed that the effective wake fraction depends on both the propeller loading and the motions of the ship. An inverse non-linear correlation between the thrust deduction fraction and the propeller loading was observed. A small influence of the ship motions on the thrust deduction fraction was noticed. The propulsive efficiency was mainly affected by the variation of the open-water efficiency caused by the propeller loading. Therefore, using the propeller open-water curves or performing overload self-propulsion model-scale experiments in calm water would provide a sufficiently accurate estimation of the time-averaged propulsive efficiency in waves for the considered case studies.
The results of the PhD project are useful to investigate the performance of marine propulsion systems in realistic operating conditions. The techniques and tools employed in the current study can be directly applied in the ship propulsion optimization process to include the effect of waves. The work conducted in this research also constitutes a step towards the implementation of the liquefied-natural gas as a marine fuel.

The year 2020 was largely defined by the unprecedented disruption caused by Covid-19 pandemic, which could have lasting adverse effects on every corners of human life. In the meanwhile, the pandemic has fundamentally changed the way of how industrial enterprises operate, empowering businesses to accelerate their digital transformation and reshaping their business models. Throughout the pandemic, shipping has been essential in terms of guaranteeing the global supply chain linkage and economic interdependency. As the world moves toward recovery, the maritime industry is also stepping up to the challenge and responds to these extraordinary disruptions. Against this background, a thorough, broader, and new review of maritime businesses will be particularly important.

Slow steaming is being practised in many sectors of the shipping industry. It is induced principally by depressed shipping markets and/or high fuel prices. In recent years the environmental dimension of slow steaming has also become important, as ship emissions are directly proportional to fuel burned. The purpose of this chapter is to examine the practice of slow steaming from various angles. In that context, a taxonomy of models is presented, some fundamentals are outlined, the main trade-offs are analysed, and some decision models are presented. Some examples are finally presented so as to highlight the main issues that are at play.

Due to increased numbers of offshore structures and subsea cables, there is a high demand for underwater maintenance and monitoring. Common options to meet this demand are sonar mapping and imaging. Sonar mapping provides a reliable way for object detection with a high penetration depth, but it is not suitable for tasks that require a detailed insight into the material composition and color of the object. Imaging can provide in-depth, comprehensive information on material properties and external features. This makes it reasonable to investigate its use for object segmentation. Hyperspectral imaging is a subset of imaging which proved to be more effective for airborne object segmentation compared to RGB imaging. This stems from the fact that hyperspectral imaging contains a higher number of spectral bands, justifying the investigation of its applicability in underwater environments. However, underwater imaging faces major challenges such as a variable data quality which is strongly affected by water turbidity, color distortion and a narrow wavelength transmission window. Most of the prior studies conducted on underwater object segmentation relied on RGB images, such as the work carried out by AAU Energy on object segmentation relying on synthetic data [1]. The applicability of hyperspectral reliant object segmentation underwater is yet to be conclusively defined, however, the promising results obtained in airborne conditions are an encouraging prospect. The contribution of this paper is to investigate the applicability of hyperspectral data for underwater object segmentation. In particular, a segmentation algorithm, evaluated in an artificial environment, was researched.

According to the narratives transmitted through media and political discourse, climate change reduces the ice coverage in the Arctic and enhances shipping and other forms of maritime activities. Especially, expectations of an increasing level of transit shipping between Asian, especially Chinese, ports and ports in Europe and North America is dominant. Evidence, however, tells that the numbers of transit shipping through the Arctic Ocean are very limited, and dominated by European shipping companies. For Greenland, political expectations have also been high, since Greenland has been seen as "strategically" situated in relation to new shipping routes in the Arctic, But, again, the actual development has been moderate and not related to international transits but conditions in Greenland itself.

Among the spectrum of logistics – based measures for sustainable shipping, this chapter focuses on speed optimization. This involves the selection of an appropriate speed by the vessel, so as to optimize a certain objective. As ship speed is not fixed, depressed shipping markets and/or high fuel prices induce slow steaming which is being practised in many sectors of the shipping industry. In recent years the environmental dimension of slow steaming has also become important, as ship emissions are directly proportional to fuel burned. Win-win solutions are sought, but they will not necessarily be possible. The chapter presents some basics, discusses the main trade-offs and also examines combined speed and route optimization problems. Some examples are presented so as to highlight the main issues that are at play, and the regulatory dimension of speed reduction via speed limits is also discussed.

Offshore jacket foundations for wind turbine generators are in risk of metal fatigue at the weldedjoints due to the highly dynamic wind and wave loading. The complex multiaxial stresses occurringat the welded joints can be non­proportional and lead to increased fatigue damage as compared toproportional stresses. Furthermore, several random effects influence the response of the offshorestructures and the fatigue lives of the welded joints.

In this thesis, the fatigue response of welded joints in offshore jacket structures is assessed. The influence of non­proportional stress states on the fatigue life has been examined using experimental fatigue data from literature by modelling the published experiments using the finite element method (FEM) and assessing the stress states using the notch stress approach. The results show that a nonzero phase­shift between the governing normal and shear stress at the weld toe leads to increased damages at the weld. An approach for determining the non­proportionality penalty factors for obtaining correct fatigue life estimations has been proposed.

To quantify the level of non­proportionality in the stress states at welds a new quantification approach has been developed based on the principal component analysis (PCA). The approach is easy to implement and simple to interpret, which is often difficult for many of the already published methods. The PCA­based approach is furthermore extended to be used with variable amplitude stress states. By implementing the developed quantification approaches in the fatigue life calculation framework, it is possible to determine if non­proportionality occurs and to account for this in the fatigue life estimation automatically using the estimated penalty factors.

The stochastic finite element method (SFEM) has been used to implement approaches for considering the spatial variability occurring in the jacket structures and welds. Closed­form solutions to the stochastic stiffness and stress stiffness matrices have been proposed, making it possible to easily implement the spatial variability of the bending rigidity and other parameters in beam FE models. The matrices have been developed for both classical Euler­Bernoulli and Timoshenko beam theory and are based on the Karhunen­Loéve (KL) expansion for random field discretization. The KL expansion is then further used to formulate a stochastic size effect that takes into account that longer welds tend to fail earlier than shorter welds when considering fatigue. Other approaches for taking into account the size effect are often based on statistical evaluation of fatigue experiments which is used to determine a deterministic calibration factor. The stochastic size effect makes it possible to simulate the randomness in a full weld independently of the highest stressed zones. Using this method, the quality of the welding can be simulated and used to predict more accurate fatigue lives.

In order to design more fatigue resistant welded joints in offshore jacket structures, automatic optimization of the welded joints is required. Already published approaches to do so, often focus on only a few simple fatigue criteria. For an optimization framework to be efficient it has to take into account the complex multiaxial non­proportional fatigue and the stochastic effects of the welds. In the thesis, an optimization framework for fatigue life estimation using the developed PCA­based quantifier and the stochastic size effect has been developed. The framework is easy to use and based on simple formulations, making it possible to implement many types of fatigue criteria without having to reformulate the optimization procedure. The framework has been used to optimize the weld locations in a cast steel jacket insert and shows that considerable mass savings can be achieved by automatic
optimization.