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Team DigiTwin
- 1. M A R I N E S P A T I A L P L A N N I N G TEAM DIGITAL TWIN NORTH SEA Rijkswaterstaat · Deltares · Breda University Joan // Wilco // Kevin // Magali // Jordan // Petra // Joris // Fine // Robyn // Thiviya A ccessi ble Deci si o n - Making To o ls f o r th e F uture
- 2. The Case for Offshore Wind Farms 7GW worth of wind farms to be built by 2030 Each wind turbine produces 10MW of renewable energy BUT Large-scale effects are unknown Ecological Hydro- & Morpho- Dynamical Economical
- 3. The Full Suite of Parameters… almost!
- 4. Decision-Making How can we help policy-makers make more informed decisions? How can we improve stakeholder engagement?
- 9. Comprehensive EIA Modelled Wind Speed Rugged Analysis Marine Protected Areas Substrate map Conversion Island Possibility Stratification Regime Cable Map
- 11. The More You Know! Holistic system analysis for decision-making Not only a national problem! Encourage and improve stakeholder engagement
Editor's Notes
- Each wind turbine produces from 8MW – 10MW Building of more wind farms is foreseen by 2050 (12 – 60GW worth, according to Roadmap 2030, PBL2) BUT little is known about the large-scale effects of building wind farms – meterological, hydrodynamic and morphodynamic system, ecology
- Aimed at policy-makers as a decision making tool MSP needs to be performed more rigorously and much further in advance (current policy of every 5 years is insufficient due to cumulative and unforeseen impacts of larger-than-expected windfarms) Scenario simulation to support decision-making and encourage holistic system analysis (think of a sea as a whole, not only a national problem) Stakeholder engagement across public & private sectors, local community and regional/international interest Suitability – broadly speaking, where is the best place to place the WF? Productivity – how much output can your farm(s) give you? EIA – how to hone in on your ideal location after considering as many parameters as possible Visualisation
- Cost maps – cost of building, depth, distance from shore Economic value of fishery fleets, less profit due to change of plans based on distribution of fish based on cost of fish (EMODNet [bathymetry, distribution, shipping lanes], WMR data) The issue of mobility of animals due to construction? Slight overlap with ecological maps
- Cost maps – cost of building, depth, distance from shore Economic value of fishery fleets, less profit due to change of plans based on distribution of fish based on cost of fish (EMODNet [bathymetry, distribution, shipping lanes], WMR data) The issue of mobility of animals due to construction? Slight overlap with ecological maps
- Implementation of point #1 to the MSP tool under development Depicting how much of Netherlands lights up (in proximity to the cables) according to how many wind turbines are built How many households in NL? Need to consider commercial uses too.
- Current Marine spatial planning carried out statically because of static suitability maps. Tends to show more ‘visible’ processes, like shipping routes, protected areas, fishing areas etc. How can we show the underlying and more ‘invisible’ physical or biogeochemical processes? How can we encourage policy-planners to think about those factors, without making it too complicated? IDEA: integrate an enhanced Environmental Impact Assessment tool that supports decision-making more by helping users to visualize the ‘invisible’ processes happening in the water. Building upon the suitability map created, we would feed more environmental and physical parameters into it and by choosing a particular location, a user can visualize the kind of weighted impacts depending on the environmental characteristics of the location.
- Visualization is very powerful, invokes and enhances holistic thinking. The user would experience an immersed visualization of all possible impacts and scenarios that might occur in a particular location, but there is no truth or quantitative output. Done deliberately to encourage not one truth. What you see is meant to enhance decision-making by supporting the user to think of other factors. We have a demo of the event simulation, where you have picked a location for example. This is then directly linked to 3D Visualization to show as much impacts as possible, but not framed in a negative or positive way. Visible processes and decisions, directly linked to 3D Visualisation 🡪 positive/negative impacts E.g. No bottom trawling = recovery spot for fisheries to benefit from Public awareness of positive and negative effects Bathymetry, pipelines, MPA, substrate maps, wind (CMEMS)
- Scenario simulation to support decision-making and encourage holistic system analysis (think of a sea as a whole, not only a national problem) Stakeholder engagement across public & private sectors, local community and regional/international interest