4 thoughts on integrated monitoring for offshore wind farms

Gerben de Boer Deltares < Rijkswaterstaaton behalf of

Remi Laane EMECO, Deltares < Rijkswaterstaat

Dave Mills EMECO, Cefas

1) : Dutch bi-weekly monitoring

Rijkswaterstaat N03:

< 1974 : 82 1974 – 2000: 117 > 2000: 77

1) : Dutch bi-weekly monitoring

Rijkswaterstaat N03:

< 1974 : 82 1974 – 2000: 117 > 2000: 77

1) : Dutch bi-weekly monitoring

2 wind farms already!

xx

Rijkswaterstaat N03:

< 1974 : 82 1974 – 2000: 117 > 2000: 77

1) 21 offshore locations 21 wind farms + requests

3

1

source: www.ecn.nl

1) Monitoring strategy: national programs

• Huge budget cuts lie ahead due to crisis• Inertia & legacy national program hampers innovation

• infrastructure: 2 expensive vessels & hardwired locations• monitoring strategy: workflow from before modern sensors

Offshore wind farms:• 4 points per farm: finally distinction spatial & temporal variability• automated HF replaces sub-optimal bi-weekly manual collection

• wire: water levels, waves• ADCP or ADV string• CTD rail or string • Ferry box• Kd: camera + particle sizer

• Automated processing pays off for bulk data • Deltares advises this to Rijkswaterstaat

timeco

ncen

trat

ienutrientsspm/chlor-a

2) example: unified EU assessment difficult

Dutch waters not in EEA SOER (2010) assessment• were they late, not cooperating, or …• anyway: unified EU integral assessment is difficult

2 wind farms already operational

2) Monitoring strategy: parallel top-down flow

Now: Integral EU assessment difficult• variety in decentralized sources

• different monitoring strategies• different sensors and database QC

• WFD/MSFD assessment:• varying national implementations• some or qualitative requirements (GES by 11 qualitative descriptors)

Future: opportunity for parallel central approach (Mainstream’s ISIS?)• one quantitative EU monitoring strategy• one specification for EU sensors/databases• one parallel validation of bottom-up assessments• one parallel, automated, top-down reporting to members states

monitoringstrategy

data →assessment

sensors + databases

monitoringstrategy

data →assessment

sensors + databases

3) fosters range of versioned tools to integrate data

Any environmental assessment depends on1. input data version2. chosen algorithms and their3. software implementation version

• EMODNET portals now provide data• Wind farms yield Data Deluge (e-IRG)• Need for versioned, automated tools

• a central tool will always have bugs

• foster range of versioned tools

input data + software

assessment =

Na

ture

46

7,

77

5-7

77

(2

01

0)

do

i:1

0.1

03

8/4

67

77

5a

3) example: EMECO assessment web service

One central live database allows for live assessment queries

3) example: NOAA combines grid and in situ data

• NOAA has

• model ~MyOcean/GOOS

• in situ ~ SDN

• RS ~ GMES

data on central

OPeNDAP servers

• web tool DCHART

package for live

working with data

• without local copies

• other tools access

same live data

3) example: private party wind yield + downtime tools

EC: private apps (e.g. Mainstream) on public data:

apps > businesses > sales tax

4) Live-access next to delayed-access mode

• Fostering a range of live data tools/apps • Not all tools can shop a copy of all data• Current EMODNET portals provides easy human interface• but archived data also require live access

• or at least ‘automatic updates’ to correct data errors

• but preferably full data versioning instead of CDI-record id: SDN:EDMO_code:<version>:LOCAL_CDI_ID

• Foster: parallel machine readable EMODNET portal• tools catalogue that work on EMODNET data “docking station” ?

Recap

4 thoughts on integrated monitoring for offshore wind farms

• Monitoring strategy

1. farms let members save on / update national programs

2. farms allow parallel EU-to-member-states info flow• Data sensors + databases: data rich > information rich:

3. farms’ Data Deluge: range of live tools for integral assessment

4. … which favor live data access mode over delayed-modequestion → indicator

monitoringstrategy

systemknowlegde

data →assessment

sensors +databases

www.emeco-group.org