NORCOWE – main topics and key results

Director Kristin Guldbrandsen Frøysa, NORCOWE

kristin@cmr.no

with contributions from:

Valerie Kumer, Benny Svardal, Masoud Asgarpour, John Dalsgaard

Sørensen, Agnus Graham, Yngve Heggelund and Thomas Bak

NORCOWE at a glance

• Part of the Research Council ofNorway’s scheme: Centres ofEnvironment-friendly Energy Research

• Budget of 237 MNOK (28 MEUR; 39 MUSD) for 2009-2017

• Industry driven research

We build future industrycompetence throughinstrumentation, education and research

NORCOWE partners

R&D partners:

– Christian Michelsen Research AS

– Uni Research AS

– University of Agder

– University of Bergen

– University of Stavanger

– Aalborg University (DK)

User partners:

– Statkraft AS

– Statoil AS

– Acona Flow Technology AS

– Aquiloz AS

– FLiDAR

– Leosphere

– Norwegian Meteorological Institute

– StormGeo AS

Slide 4 / 29-May-15

Slide 5 / 29-May-15

Slide 6 / 29-May-15

BergenStavanger

Ålborg Grimstad

A simplistic view on scales -aerodynamics

7Kilde: Finn Gunnar

Nielsen, Statoil

Mesoscale

10000 -10 km

Days -Hours

Park scale

10 -1 km

20 min - 20 sec

Rotor scale

200 - 50m

10 – 2 sec

Blade scale

5 - .5m

0.5 – 0.01 sec

Factor O(20*E06) on time and length scale

FINO 1 measurement campaign

«Hot topics» addressed by the FINO 1 campaign

single turbine wakes

extension, 3d-structure and dynamics, dependent on stability

wind farm wakes

strength and extension, dependent on stability

characterization of the turbine/wind park inflow

production optimalization and load/fatigue reduction

improvement of BL parameterization schemes in numerical models for better wind forecast

process understanding of turbulent exchange processes

added complexity by air-sea interaction and wave effects

reliable offshore site assessment

e.g. floating lidars, MWTP

Slide 10 / 20-May-15

Decision supportfor installation of offshore wind turbines

Prepared by:

Yngve Heggelund

with contributions from

Birgitte Furevik (met.no), Sigrid Ringdalen Vatne (MARINTEK), Angus Graham (Uni Research), Tomas Gintautas, John

Dalsgaard Sørensen (AAU), Joachim Reuder (UiB)

Motivating problem

• The cost of installing offshore wind turbines must be distinctly reduced

• Waiting for weather windows is a significant cost contributor

• Criteria to commence installation operations are related to simple parameters

– Significant wave height

– Average wind velocity at referenceheight

• The physical limitation are however related to response parameters

– Motions

– Accelerations

– Forces

• Uncertainties are currently not properly taken into account in the decision making

Slide 11 / 20-May-15

General project idea

• Couple weather forecast models to an advanced dynamical model (SIMO) to obtain response parameters

• Improve local weather forecasts by utilizing local measurements

• Use statistical models to capture uncertainty of response characteristics

• Integrate the above into an online risk based decision support system

• Clear and informed view of the risks and potential costs of carrying out an operation in a given timeframe

Slide 12 / 20-May-15

Local weather measurements

Calibrated weather models with uncertainty

SIMO

Models of operational

phases

Decision support system

Costs of failed

operations

Rational limits for responses

Statistical models

EPSStatistical calibration

Main components

• Weather modelling (met.no, Uni Research, UiB)– Access to measurements

– Downscaling

– Calibration

• Response modelling in SIMO (MARINTEK)

• Statistical modelling of the probability of exceeding critical responses (AAU)

• Integration into a decision support system (CMR)

Slide 13 / 20-May-15

Two test cases

1. Installation of wind turbine rotor by floating crane vessel

2. Integrated installation of offshore wind turbines of gravity-base type

Slide 14 / 20-May-15

Summary

• Provide an objective foundation for decision support taking into account– The real physical limitations of the equipment being used

– The uncertainties in the weather-dependent data

• Challenge the existing practice of using simple parameters such as significant wave height and average wind velocity

• Ideas and principles can also be applied to the operational phase and for oil & gas marine operations

• Main goal: Reduce the cost of installing offshore wind turbines

Slide 15 / 20-May-15

Design, installation and operation of offshore wind turbines (WP3)

Operation & maintenance

Control and optimization

Metocean knowledge and

loads

• Cost effective maintenance organisation and marine logistic support (UiS)

• Risk and reliability based support for optimal planning (AAU)

• Fault tolerant supervisory control (UiA)

• Optimization of the electrical system (AAU)

• Control to reduce fatigue / increase production (AAU)

• Loads on jacket types foundations with breaking waves (UiS)

• Assessment of standards with respect to structural requirements and power production estimation (UiS)

• Wave effects on the Marine Boundary Layer (Acona)

Norcowe reference wind farm

Thomas Bak, Angus Graham, Alla Sapronova, Zhen Chen, Torben Knudsen, John D Sørensen,

Mihai Florian, Peng Hou, Masoud Asgarpour

Slide 17 / 29-May-15

Key parameters

• Reference zone: FINO3

• Installed capacity: 800 MW

• Number of turbines: 80

• Turbine: DTU 10 MW turbine, rotor* 178m, hub height 119m

• Water depth / foundations is not in the initial focus – 22 meter, monopile

*Bak C, Zahle F, Bitsche R, Kim T, Yde A, Henriksen LC, Natarajan A, Hansen MH. Description of the DTU 10 MW Reference Wind Turbine. DTU Wind Energy Report-I-0092, 2013.

Slide 18 / 29-May-15

90 km

70 km

Overview, models and data

Slide 19 / 29-May-15

Operation & maintenance

Energy yield

Load assessment

Wind / wave time series

Electrical design

Site layout (s)

LCoE

Cable losses

Models and Matlab code

Data

Installation?

Use of the reference wind farm

Slide 20 / 29-May-15

Website

LCoE

Baseline

LCoE

Your solution

Benchmarking

Climatology for the NORCOWE reference wind farm

• The RWF comprises a fictitious 800 MW wind farm at the location of the FINO3 met mast, 80 km west of the island of Sylt at the Danish-German border.

• The farm involves a set of 80 reference wind turbines and two substations.• DTU’s 10 MW reference wind turbine is the chosen turbine type, a variable-speed

rotor of diameter 178 m and hub height 119 m.

hub-height wind rosecurvilinear layout rectilinear layout

Both layouts have the same plan area and interior spacings along and across the prevailing wind

Slide 22 / 29-May-15

Operation and Maintenance Strategies for NORCOWE Wind Farm

Mihai Florian, Masoud Asgarpour, John Dalsgaard Sørensen Aalborg University, Denmark Photo: wallconvert.com

Baseline O&M Model for

NORCOWE Reference Wind Farm

Wind Farm & Metocean Data

Farm layout:

• 80 Turbines 10 MW each

• 80 km distance, 20 m water depth

• coordinates in orthogonal plane

Metocean data:

• FINO3 - 3 h wind and wave time series

• limiting factor for farm access

Baseline O&M Model

Corrective maintenance policy based partly on *

Failures in 3 categories and regular annual service :

Spare parts available in stock

24 hired technicians working 12 h shifts a day

Major replacements carried out in two 12 h shifts

Failures generated from exponential distributions and lead to turbine shutdown

Annual service carried out at start of each June

Baseline O&M Model

2 hired work boats

HLV chartered for major replacements

Cost and unavailability

Slide 28 / 29-May-15

Technicians;

2

Work boat;

4

HLV; 24

Annual

service; 8

Major

replacement

; 17

Major repair;

29

Minor repair;

19

Minor repair;

59

Major repair;

22

Major

replacement

; 9

Annual

service; 11

Cost Unavailability

OM model results

Cost of Energy:

Thank you for your attention!