In this report, the details of an investigation into the e ect of the low induction wind turbines on the Levelised Cost of Electricity (LCoE) in a 1GW o shore wind farm is outlined. The 10 MW INNWIND.EU conventional wind turbine and its low induction variant, the 10 MW AVATAR wind turbine, are considered in a variety of 10x10 layout configurations. The Annual Energy Production (AEP) and cost of electrical infrastructure were determined using two in-house ECN software tools, namely FarmFlow and EEFarm II. Combining this information with a generalised cost model, the LCoE from these layouts were determined. The optimum LCoE for the AVATAR wind farm was determined to be 92.15 e/MWh while for the INNWIND.EU wind farm it was 93.85 e/MWh. Although the low induction wind farm o ered a marginally lower LCoE, it should not be considered as definitive due to simple nature of the cost model used. The results do indicate that the AVATAR wind farms require less space to achieve this similar cost performace, with a higher optimal wind farm power density (WFPD) of 3.7 MW/km2 compared to 3 MW/km2 for the INNWIND.EU based wind farm.
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Renewable energy sources have an intermittent character that does not necessarily match energy demand. Such imbalances tend to increase system cost as they require mitigation measures and this is undesirable when available resources should be focused on increasing renewable energy supply. Matching supply and demand should therefore be inherent to early stages of system design, to avoid mismatch costs to the greatest extent possible and we need guidelines for that. This paper delivers such guidelines by exploring design of hybrid wind and solar energy and unusual large solar installation angles. The hybrid wind and solar energy supply and energy demand is studied with an analytical analysis of average monthly energy yields in The Netherlands, Spain and Britain, capacity factor statistics and a dynamic energy supply simulation. The analytical focus in this paper differs from that found in literature, where analyses entirely rely on simulations. Additionally, the seasonal energy yield profile of solar energy at large installation angles is studied with the web application PVGIS and an hourly simulation of the energy yield, based on the Perez model. In Europe, the energy yield of solar PV peaks during the summer months and the energy yield of wind turbines is highest during the winter months. As a consequence, three basic hybrid supply profiles, based on three different mix ratios of wind to solar PV, can be differentiated: a heating profile with high monthly energy yield during the winter months, a flat or baseload profile and a cooling profile with high monthly energy yield during the summer months. It is shown that the baseload profile in The Netherlands is achieved at a ratio of wind to solar energy yield and power of respectively Ew/Es = 1.7 and Pw/Ps = 0.6. The baseload ratio for Spain and Britain is comparable because of similar seasonal weather patterns, so that this baseload ratio is likely comparable for other European countries too. In addition to the seasonal benefits, the hybrid mix is also ideal for the short-term as wind and solar PV adds up to a total that has fewer energy supply flaws and peaks than with each energy source individually and it is shown that they are seldom (3%) both at rated power. This allows them to share one cable, allowing “cable pooling”, with curtailment to -for example-manage cable capacity. A dynamic simulation with the baseload mix supply and a flat demand reveals that a 100% and 75% yearly energy match cause a curtailment loss of respectively 6% and 1%. Curtailment losses of the baseload mix are thereby shown to be small. Tuning of the energy supply of solar panels separately is also possible. Compared to standard 40◦ slope in The Netherlands, facade panels have smaller yield during the summer months, but almost equal yield during the rest of the year, so that the total yield adds up to 72% of standard 40◦ slope panels. Additionally, an hourly energy yield simulation reveals that: façade (90◦) and 60◦ slope panels with an inverter rated at respectively 50% and 65% Wp, produce 95% of the maximum energy yield at that slope. The flatter seasonal yield profile of “large slope panels” together with decreased peak power fits Dutch demand and grid capacity more effectively.
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This paper presents the design of the offshore energy simulation CEL as a flow network, and its integration in the MSP Challenge 2050 simulation game platform. This platform is designed to aid learning about the key characteristics and complexity of marine or maritime spatial planning (MSP). The addition of CEL to this platform greatly AIDS MSP authorities in learning about and planning for offshore energy production, a highly topical and big development in human activities at sea. Rather than a standard flow network, CEL incorporates three additions to accommodate for the specificities of energy grids: an additional node for each team's expected energy, a split of each node representing an object into input and output parts to include the node's capacity, and bidirectional edges for all cables to enable more complex energy grid designs. Implemented with Dinic's algorithm it takes less than 30ms for the simulation to run for the average amount of grids included in an MSP Challenge 2050 game session. In this manner CEL enables MSP authorities and their energy stakeholders to use MSP Challenge 2050 for designing and testing more comprehensive offshore energy grids.
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KnowledgeFlows in Marine Spatial Planning - Sharing Innovation in Higher Education(KnowledgeFlows) aims at further enforcing the European higher education community to meet the growing demands for knowledge, skills and innovation within the still emerging field of marine or maritime spatial planning (MSP).Marine Spatial Planning (MSP) is an emerging governmental approach towards a more effective use of the sea. MSP is of great interest in Europe and can be considered a societal process to balance conflicting interests of maritime stakeholders and the marine environment. Many different activities take place at sea, ranging from shipping, fisheries, to offshore wind energy activities. Simultaneously, new and evolving policies focus on strategies to integrate different marine demands in space and resources. MSP is now legally binding in the EU and is much needed approach to manage and organize the use of the sea, while also protecting the environment.KnowledgeFlows will contribute to the development of new innovative approaches to higher education and training on MSP by means of problem-based learning schemes, transdisciplinary collaboration, and advanced e-learning concepts. KnowledgeFlows builds on results from former project outputs (Erasmus+ Strategic Partnership for Marine Spatial Planning SP-MSP), such as the online learning platform MSP Education Arena (https://www.sp-msp.uol.de).The strategic partnership consists of a transnational network of experts both in research and in practice based in the north Atlantic, Baltic Sea and North Sea Regions including Aalborg University (DK, lead partner), The University of Oldenburg (D), the University of Liverpool (U.K.), the University of Nantes (F), the Leibniz Institute for Baltic Sea Research (D), the Breda University of Applied Sciences (NL), University of Ulster (U.K.), and the Finnish Environment Institute (FI). Gothenburg University, also being a higher education organisation, will be associated partner.Furthermore, three international organisations, the Marine Spatial Planning Research Network, the Baltic inter-governmental VASAB and the pan-Nordic Nordregio will be involved in the partnership as associated organisations deeply rooted in the MSP community of practice.The further improvement of curricula, exchange of knowledge and experts, and transparency and recognition of learning outcomes to reach higher qualifications in MSP are key components of KnowledgeFlows. A mutual learning environment for MSP higher education will enable problem-driven innovation among students and their educators from research and governance also involving stakeholders. Related activities on intellectual outputs, multiplier events and lecturing will be carried out by all participating organisations.The intellectual outputs are related to three major contributions to the European higher education landscape:1) an advanced level international topical MSP course (Step-up MSP)2) digital learning facilities and tools (MSP Education Arena)3) designing problem-based learning in MSP (MSP directory)The advanced level inter-institutional topical MSP course will include different teaching and training activities within a problem-based learning environment. Digital learning facilities enabling communication and training will include a further enrichment of the MSP Education Arena platform for students, practitioners and lecturers for including modules forcollaborate learning activities, documentation and dissemination, mobilisation/recruitment, thesis opportunities, placements/internships. Designing problem-based learning in MSP will include topics as; the design of didactics and methods; guidance for lecturers, supervisors and students; evaluation and quality assurance; assessment.Five multiplier events back to back or as part of conferences within the MSP community will be organised to mainstream the outputs and innovative MSP didactics among other universities and institutions.Different teaching and training activities feeds into the intellectual output activities, which will include serious gaming sessions (MSP Challenge (http://www.mspchallenge.info/) and others), workshops, excursions, courses/classes as well as a conference with a specific focus on facilitating the exchange of innovative ideas and approaches among students at bachelor´s, master´s and doctoral level and the MSP community of practice.Project management meetings (twice a year) will assure coherence in project planning and implementation. As the core focus of the strategic partnership is on collaboration, mutual learning, and innovation among educators, students, and practitioners in order to meet actual and future needs regarding knowledge exchange and training within the MSP community, the project will be designed to have long lasting effects.Results
In 2024, the Dutch government set a new plan for offshore wind farms to become the Netherlands' largest power source by 2032, aiming for 21 GW of installed capacity. By 2050, they expect between 38 and 72 GW of offshore wind power to meet climate-neutral energy goals. Achieving this depends heavily on efficient wind turbines (WTs) operation, but WTs face issues like cavitation, bird strikes, and corrosion, all of which reduce energy output. Regular Inspection and Maintenance (I&M) of WTs is crucial but remains underdeveloped in current wind farms. Presently, I&M tasks are done by on-site workers using rope access, which is time-consuming, costly, and dangerous. Moreover, weather conditions and personnel availability further hinder the efficiency of these operations. The number of operational WTs is expected to rise in the coming years, while the availability of service personnel will keep on declining, highlighting the need for safer and more cost-effective solutions. One promising innovation is the use of aerial robots, or drones, for I&M tasks. Recent developments show that they can perform tasks requiring physical interaction with the environment, such as WT inspections and maintenance. However, the current design of drones is often task-specific, making it financially unfeasible for small and medium-sized enterprises (SMEs) – providing services in WT inspection and maintenance- to adopt. Together with knowledge institutes, SMEs and innovation clusters, this project addresses these urgent challenges by exploring the question of how to develop a modular aerial robot that can be easily and intuitively deployed in offshore environments for inspecting and maintaining WTs to facilitate SMEs adoption of this technology? The goal is to create a modular drone that can be equipped with various tools for different tasks, reducing financial burdens for SMEs, improving worker safety, and facilitating efficient green energy production to support the renewable energy transition.
NO-REGRETS examines the ecological and economic trade-offs of upscaling Offshore Wind Farms (OWFs) in the context of climate change and the ongoing food and nature transitions in the North Sea. NO-REGRETS advances knowledge on potential impacts of OWFs on ocean currents, suspended sediments, microscopic plankton, various life stages of fishes, seabed composition, seafloor organisms, marine mammals, and sea birds. Economic analyses explore changes in the value of marine fisheries and other ocean assets. Co-developed with stakeholders, NO-REGRETS will create tools allowing policymakers, industries and other stakeholders to gauge and optimise the ecological and bioeconomic consequences of North Sea OWF expansion.Collaborative partnersArcadis Nederland B.V., Blauwwind, Boskalis, Breda University of Applied Sciences, Centraal Bureau voor de Statistiek, Clusius C.V., Cooperatie Kottervisserij Nederland, Deltares, EcoShape, Eneco Windmolens Offshore B.V., Heerema Marine Contractors, Jaczon B.V., Nederlandse Vissersbond, Noordelijke Visserij Alliantie, NIOZ, NWO-institutenorganisatie, Ørsted Wind Power Netherlands Holding B.V., Pelagic Freezer Trawler Association, Rijksuniversiteit Groningen, Rijkswaterstaat, RWE Offshore Wind Netherlands B.V., Stichting Naturalis Biodiversity Center, Stichting Wageningen Research, Technische Universiteit Delft, Technische Universiteit Eindhoven, TNO Utrecht, Universiteit Leiden, Universiteit Twente, Universiteit van Amsterdam, Wageningen University & Research.
