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    Real-time control of oscillating water column wave energy converters

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    In order to build a carbon-free society, the production of clean and affordable electric energy is vital. Furthermore, to reduce variability and minimise the need for potentially expensive energy storage systems, the diversification of renewable energy resources is essential. To this end, wave energy is a significant and almost untapped source of renewable energy, which can considerably contribute to the renewable energy mix and, ultimately, to decarbonisation. Wave energy converters (WECs) harness wave power by exploiting different operating principles. However, due to the relatively high levelised cost of energy (LCoE) associated with wave energy projects, WECs struggle to penetrate in the electric power industry market. A key step to minimise the LCoE, and therefore improve WEC commercialization, is to develop high-performance, real-time, control strategies to maximise the electric energy produced over the WEC lifetime. In particular, this thesis focuses on enhancing the economic viability of a specific type of WEC, known as the oscillating water column (OWC) WEC, by improving state-of-the-art OWC control techniques. The OWC system is one of the most promising WECs, especially due to its simplicity of operation, the possibility to easily dissipate excessive power, and the fact that all the moving parts are above the water level, meaning that maintenance operations are potentially less complex and expensive. To date, due to the critical importance of turbine performance, OWC control strategies mainly focus on an oversimplified control objective, namely turbine efficiency maximisation, ignoring hydrodynamic and electric generator performance. In this thesis, possible staticefficiency- based and dynamic control strategies to optimise the (overall) wave-towire (W2W) energy conversion process of OWC WECs are designed. Furthermore, as an alternative to relatively laborious model determination from first principles, the potential of data-based modelling techniques to provide parsimonious, controloriented, OWC hydrodynamic models, is investigated. Finally, to maximise OWC WEC profitability, it is important to consider peak-shaving (or rated power) control, to extend the OWC operational range and, consequently, improve the capacity factor. Since peak-shaving control affects the optimal sizing problem for an OWC PTO, a control co-design approach is devised in this thesis to assess the benefit of rated power control. Ultimately, peak-shaving control, used in combination with control co-design techniques, can significantly reduce the LCoE by improving the capacity factor

    Investigating the Roles of the N-Degron Pathway in Regulating the Crosstalk Between Hypoxia and the Innate Immune Responses.

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    How plants integrate and respond to multiple simultaneous or consecutive stresses is an increasingly pressing question with the advent of Climate Change. Presented in this Ph.D. thesis is an exploration of the crosstalk between hypoxia and immune responses and the role of the N-degron pathway in its regulation. Transcriptomic analyses using RNA-Seq facilitated dissection of Arabidopsis responses to combined hypoxia and flg22, uncovering interactions between responses to these stresses. It was discovered that hypoxia represses flg22-induced responses at the gene level and also dampens cellular immune responses (e.g. MAPK signalling and callose deposition). This work also found combined hypoxia/flg22 treatments induce novel responses which may point towards pathways that antagonise multi-stress resistance but also those which lie at the intersection of multiple stresses. One pathway which was particularly enriched under combined treatments was jasmonic acid (JA) signalling. The phytohormone JA is well known for its involvement in plant stress responses and this study further highlighted its role as a potential point of intersection for hypoxia and flg22 responses. Further, a potential role for the N-degron pathway in the removal of repression of JA signalling by the repressor protein, JASMONATE ZIM-DOMAIN 8 (JAZ8), was proposed by this work, with an N-degron pathway component, ARGINYL-TRANSFERASE 1 (ATE1), binding JAZ8 and mediating its destabilization. This further supports JA as a point of crosstalk between hypoxia and flg22 responses with the N-degron pathway potentially playing a regulatory role. Similar work to that in plants was attempted in mammals to allow direct comparison of conserved roles of the N-degron pathway in innate immunity and its role in the interplay between hypoxia and immunity. Aims to generate ATE1 knockout RAW264.7 macrophages were however unsuccessful, halting this work

    How do we think in movements? Learning, knowledge and struggle

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    In June 2003, I was standing over a photocopier running off programmes for an activist get-together in inner-city Dublin. Over that weekend, perhaps 150 activists crowded into the rooms of an old Georgian house, now a trade union social club, to share their experiences of organising – how to carry out direct action, how to make alliances between movements, how to deal with burnout, how to work with internal diversity, how to build alternative media, in the fifth of a series of “Grassroots Gatherings

    Belgium

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    Belgium has a small East Asian diaspora, within which the Chinese community is the largest, as well as a long local reception of Chinese and Japanese art, philosophy and religion which led to some Belgians identifying as Buddhist from the 1950s onward. Today there are a significant number in particular of Belgian Buddhist converts in various East Asian traditions, with centres identifying as “Zen” (sometimes in practice Ch’an, Thiền or Sŏn) the most visible, alongside East Asian-led groups. East Asian Christianities, new religious movements, holistic healing and martial arts are all also visible. Research on East Asian religiosities in Belgium is constrained both by a shortage of statistical data and limited scholarly interest

    Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning

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    This article introduces a novel reinforcement learning (RL) method for wave energy converters (WECs), which directly generates linear noncausal optimal control (LNOC) policies on continuous action space. Unlike other existing WEC RL algorithms looking at the problem mainly from a learning perspective, the proposed RL approach adopts a control-theoretic approach by delving into the underlying WEC energy maximization (EM) optimal control problem (OCP). This leads to control-informed decisions on choosing the RL state, as well as developing the RL structure. The proposed model-free LNOC (MF-LNOC) offers substantial advantages, including significantly improved performance due to the use of noncausal information, a simplified RL with linear actor and quadratic critic structures, and remarkable fast convergence speeds, achieved using less than 150 s of data points, for a benchmarked point absorber, which can be further shortened using the replay technique. This reduction in training time allows for controller reconfiguration in pace with sea changes. Demonstrative numerical simulations are presented to verify the efficacy of the proposed methods. The proposed MF-LNOC also shows robustness against wave prediction inaccuracies and changing sea conditions. The MF-LNOC methodology can be highly attractive for WEC developers who want to design an efficient and reliable controller for WECs but also hope to avoid the challenge of establishing a control-oriented model that can preserve high fidelity over a wide range of sea condition

    On the Effective Implementation of Control Structures to Multi-DoF wave Energy Converters

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    Maximising energy output through advanced control strategies is pivotal for the economic viability of wave energy converters (WECs). However, most existing literature primarily focuses on theoretical case studies, where WECs are constrained to operate in a single degree of freedom (DoF). This simplification is made due to the added complexity of optimizing across multiple DoFs. In this study, we assess the necessity of incorporating multiple DoFs within the control framework, evaluating its effectiveness in a numerical simulation environment that replicates WEC performance across multiple DoFs. To provide a basis for comparison, we contrast the conventional PI controller with the innovative LiteCon controller. Our study reveals two key findings: (i) Single DoF control may suffice when the primary DoF of the power takeoff system is accurately identified, and (ii) the straightforward LiteCon controller outperforms the traditional PI controller by a significant margin

    Historical trends of floating wind turbine fatigue loads (Ireland 1920–2010)

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    We present a new method for analysing the fatigue loads of offshore floating wind turbines over the long term. In this method, bias-corrected wind and wave data from the 20th century (ERA20C versus ERA5 reanalysis) is used for an energetic sea location in western Ireland. To reduce the computational cost and theoretical complexity, the sea states were clustered into categories to indicate how these categories evolve over three climate periods during a period of 30 years (1921–1950, 1951–1980, and 1981–2010). OpenFAST aeroelastic code simulation in floating mode was then conducted at each sea state for spar-type 5-MW and semi-submersible 15-MW wind turbines. This shows the damage loads and fatigue increments over the century, with some relevant cases (rotor torque, blade pitch and flapping, and tower side–side and fore–aft moments) showing fatigue increments of 5%–8%. Thus, in the new method, historical data are used to create a model to represent the evolution of sea states and corresponding fatigue over the long term, which can be applied globally to future projections

    Wave Energy Optimal Control Structure With Second-Order Sliding Mode Tracking: Hardware-in-the-Loop Assessment

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    This article presents a hardware-in-the-loop assessment of a moment-based optimal controller including a robust super-twisting tracking term. The aim of the overall control structure is to maximise the energy extracted by a flap-type wave energy converter. An experimental assessment is performed via hardware-in-the-loop testing, which allows experiments in a controlled environment and repeatable conditions. Key aspects of the control structure are analysed in the results, with particular focus on the behaviour of the second-order sliding mode tracking term. Robustness against modelling uncertainties and finitetime convergence are evaluated, initially for a single sea state, and then across three different sea conditions. Excellent tracking performance is observed for all considered operating conditions. Finally, the super-twisting algorithm in the tracking loop is compared with the performance of a linear controller synthesised based on Youla-Kuˇcera parametrisation, observing that the former presents better tracking capabilities, also outperforming in terms of energy extraction

    Policy, planning practice and the lived experience in a changing Ireland: Provoking thoughts for/of change?

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    Recent planning frameworks and policies have formally recognised the significance of the urban in contemporary Ireland and put in place the groundwork to accommodate, facilitate, and accelerate ‘metropolitanisation.’ If implemented, this new strategic positioning can move Ireland in the direction of more balanced development. However, the new spatial arrangements pose profound implications for existing modes of organisation and economic activity in cities and towns, as well as the rural sphere. Additionally, implementation of the new spatial and economic strategies are challenged by certain factors unique to the Irish context raised in this paper in the form of three provocations: 1) Ireland’s colonial legacies and mindsets hinder appropriate planning and development; 2) the historically grounded idealisation of the rural flattens lived experiences; and 3) moving beyond post-colonial confines requires a new and variegated politics of the urban and rural commons. These provocations serve to to open up a collective dialogue on the contours of a more mature approach to planning practice and policy development in Ireland that more closely resonates with lived experiences

    Achieving Regional Equality

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    Governing from the metropolitan scale is not a concept that is widely comprehended in Ireland. And yet, the 2018 National Planning Framework (NPF) statutorily mandates Ireland’s three regional assemblies to develop what they term Metropolitan Area Strategic Plans (MASP) for each of their respective regional cities. This is a challenge for the three regional assemblies because the purpose and power of the metropolitan scale and its designation is little understood amongst planners, policymakers and the general public. Additionally in a staunchly centralised Ireland, the regional assemblies as governance bodies are under-recognised and underappreciated. When done correctly, various opportunities can stem from city-regional governance. Amongst development scholars, strengthening lower tiers of governance is beneficial particularly to identify places in need of policy attention. However, in order to effectively legitimise meso-level governance and to successfully implement the Regional Spatial and Economic Strategies (RSES) and MASPs, people’s awareness of how the city-regional scale can benefit them and their locality must first be addressed. This policy report is based on research that took place between September 2021 – December 2022. Funded jointly by the Irish Research Council (IRC) and the Southern Regional Assembly (SRA), the research focuses on Ireland’s Southern Region, its Assembly (SRA) and its executive (SRA Executive) as a case study to observe and document the relatively new process of ‘metropolitanisation’ in Ireland in order to offer insight into implementatio

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