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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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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Project aimsNorthSEE aims to achieve greater coherence in Maritime Spatial Planning (processes; MSP) and in Maritime Spatial Plans (outcomes/solutions), capturing synergies and preventing incompatibilities in the North Sea Region (NSR). The project seeks to create better conditions for sustainable development of the area in the fields of shipping, energy and environmental protection. NorthSEE is possible thanks to the financial support from the Interreg North Sea Region programme of the European Union (European Regional Development Fund).Project tasks and resultsTo suggest a multi-level coordination framework capable of supporting ongoing coordination in MSP across the NSR in the long term. To develop an information and planning platform for MSP, enabling planners and stakeholders to share evidence for MSP and test different planning options in the form of scenarios based on real data. The MSP Challenge computer-supported simulation game will became this platform. To increase the capacity of stakeholders in key transnational sectors to actively contribute to MSP To align approaches for taking into account wider environmental issues in MSP To facilitate greater transnational coherence in MSP with respect to offshore energy infrastructure To achieve greater transnational coherence in using MSP to support environmental protection objectives. To facilitate greater transnational coherence in MSP with respect to shipping routes.Our roleThe Academy for Digital Entertainment (ADE) of Breda University of Applied Sciences is a full partner in this project. ADE is responsible for designing and developing the MSP Challenge simulation game concerning the NSR, as well as facilitating its application, all with the aim of developing insights befitting the project aims and thus Maritime Spatial Planning in the North Sea Region (see task 2). We therefore work closely with all NorthSEE partners to define the right requirements and ensure that the simulation game fulfills them. Multiple MSP Challenge sessions are planned to help develop insightful future scenarios and useful planning solutions for the NSR. More information about MSP Challenge is available on NorthSEE (https://northsearegion.eu/northsee) and on its own website (https://www.mspchallenge.info/).