Download - NORCOWE main topics and key results
NORCOWE – main topics and key results
Director Kristin Guldbrandsen Frøysa, NORCOWE
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
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
«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
Operation and Maintenance Strategies for NORCOWE Wind Farm
Mihai Florian, Masoud Asgarpour, John Dalsgaard Sørensen Aalborg University, Denmark Photo: wallconvert.com
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
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