Our award-winning presentation at the EMODNet Open Sea Lab Hackathon 2019 on marine spatial planning solutions through serious games utilising various database content and providing decision-makers immersive experiences to better inform their policymaking processes.
poplar trees field in kurdistan region of iraq.pptx
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
11. The More You Know!
Holistic system analysis
for decision-making
Not only a national
problem!
Encourage and improve
stakeholder engagement
Hinweis der Redaktion
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
