Offshore wind resource assessment

OFFSHORE WIND RESOURCE
ASSESSMENT
Dileep V Raj
Mtech Renewable Energy Technologies
Amrita Vishwa Vidyapeetham,Coimbatore
Why Offshore ?
• Higher wind speeds -> higher yield
• Larger wind farms possible – fewer space/land availability
constraints
• No complex terrain or visual impact issues
• No displacement of people
But
• A lot more expensive than onshore windfarms….
• Vessel costs + turbine foundation/installation + electrical cabling
to land
INTRODUCTION
• The wind power community has a long record on onshore design and construction
of wind turbine foundations.
• But the offshore wind power is still in the embryonic stage but with aggressive and
ambitious plans for developments.
• Metocean data-
• Meterological data( Wind, Atmospheric data, Air Temperature, etc ) and
Oceanographic data ( Waves, Current, water level, Salinity, Water temperature ,
Ice etc ) are the important design basis parameters.
Traditional offshore structures vs. wind turbine foundations
• Any structure used in offshore oil and gas exploration and production constitutes a
vital part of a successful energy production, vital both in terms of construction
costs, of safety, of human lives and the environment, and in terms of revenues from
the production.
• An offshore wind turbine foundation is typically simpler and much cheaper to build
than an oil platform.
• Furthermore, the wind turbine will be un-manned except for maintenance and
repair, the environmental impact from a damaged structure is limited, and the value
of the energy production per foundation unit is far less than the value from oil
production from a platform.
Offshore wind resource
Yield assessment road map
Required data level : Absolute min of 1 year on site – 2 years best practice
Significance of Offshore WRA
• Energy yield prediction
• Extreme wind and turbulence analysis -> turbine selection
• Minimizing financial risk and securing project financing:
• The importance of uncertainty
Challenges to resource assessment offshore
• Rough weather and sea conditions -> higher risk
• High met mast costs: 6-12 mi dollors offshore as opposed to
115-175k dollors onshore
• Very few existing data points to provide reference data ->
account for temporal variability of wind?
• Account for atmospheric stability and sea surface roughness?
Offshore wind resource assessment
Hub-Height Wind Speed
• Turbines in offshore wind plants must be designed to withstand extreme wind events
in the case of mechanical yaw error.
Hub-Height Shear and Natural Turbulence
• For turbine selection and load estimation, it is also important to know the expected
distribution of shear and natural (non-wake) turbulence.
• There is no accurate method for scaling surface measurements to make accurate hub-
height turbulence measurements.
• The situation is not much more encouraging with numerical models.
• Such models generate estimates both of wind shear and turbulence, but there is little
evidence that validates their performance for hub-height shear and turbulence.
Air Temperature and Atmospheric Surface Pressure
• Air temperature is needed in conjunction with atmospheric pressure primarily to
calculate the distribution of air density at prospective wind plant sites.
• Unlike dynamic variables, this information is well known both from surface
measurements and from numerical models.
Lightning
• Lightning is a common feature of offshore environments, and lightning
protection systems should be routinely included in the design of renewable
energy plants.
• Lightning detection networks extend well offshore; thus, frequencies of
lightning events can be mapped for offshore waters.
• This information may have some utility in assessing lightning risk to a facility.
Ice Loading
• Sea ice loading on structures is a significant design consideration in cold regions.
• Ice accretion affects blade aerodynamics for wind turbines and, in severe cases, could
affect structural integrity of turbine components.
• Icing can result both from freezing precipitation and fog and from sea spray in subfreezing
temperatures.
Tidal Elevations
• Tidal elevations for wind turbine structures are important primarily for designing
access and for identifying the parts of structures that will need to be specially
protected from sea water corrosion.
• Coverage and accuracy of tidal data is sufficient for wind development purposes.
Salinity
• Salinity information is important to inform design consideration for corrosion.
Measurement Campaign: Offshore Met Mast
• Cup anemometers and wind vanes; along with meteorological
sensors.
• Only IEC compliant option available for WRA
• Limited access at sea : site visits minimum; safety requirements
higher
• Allows monitoring of birds and marine mammals as well as acts as
platform for measuring wave height, scour movement etc.
• Data monitoring required: sector filtering, cup degradation etc.
• Issue : Flow distortion
Courtesy:OFFSHOREWINDCLIMATE
WimBierbooms
WindEnergyResearchGroup(AerospaceEng.)
Courtesy:OFFSHORE WIND CLIMATE
Wim Bierbooms
Wind Energy Research Group (Aerospace Eng.)
Offshore – Met mast vs. RS instruments
• Met mast – accepted worldwide and bankable data provided, with
international standards (MEASNET, IEC 61400-12) available
• LiDARs and SoDARs – few validation studies offshore
• RS (Remote Sensing) equipment such as LiDARs and SoDARs:
 ease of transportation and installation on existing platforms
 cost effective compared to tall masts
 easier maintenance compared to tall masts
 multiple height measurements
• Commercially used offshore along with a met mast till now
Exception: Beatrice project, UK – LiDAR only
Offshore wind resource assessment
Metadata location fields and categories include the following:
• Physical location (latitude, longitude, and elevation)
• Site name and number
• Political region (county and state)
• Local environment description and photographs (topography, vegetation, and
buildings or obstructions)
Instrumentation and equipment metadata and categories include the following:
• Data logger model and serial number
• Sensors (model, serial number, height, orientation or boom direction, and calibration
information)
• Tower description (size, height, face width, and so on, lattice or tubular, guyed or
non-guyed, face orientation, and tower commissioning report)
• Remote sensing data (type of instrument, model, and serial number)
• Data collection history (data outages, sensor changes, and unusual conditions such
as severe weather)
Data set description metadata include the following:
• Starting and ending dates and times
• Data sampling interval
• Total number of records collected
• Data collection rate (0%–100%)
• Data format (ASCII text, database files, binary, and so on)
• Channel number for each sensor
• Name and contact of responsible person
• Quality control and data screening procedures that have been applied
Remote Sensing instruments
How do they work?
Principle of Doppler effect : change in frequency of a signal related
to the line-of-sight velocity
• LiDARs – Light Detection and Ranging; electromagnetic radiation
reflected from aerosols
• SoDARs- Sound Detection and Ranging; acoustic pulse reflected
from the varying temperature structure of the atmosphere
LiDAR types: Continuous Wave
Pulsed
Floating LiDAR
Floating LiDAR
• Innovate to give concurrent wind, wave, current data
• Motion compensated
• Must be used carefully to ensure uncertainty reduction
• Can be used to provide project data at much reduced cost
LiDAR fixed Platform
• LiDAR now bankable with appropriate traceability
• High reliability if looked after
• Need a fixed platform in vicinity of project
Atlas & Satellite
• Satellite data: 10m wind speeds
• Needs to be scaled to hub height
• Dependent on satellite coverage/length of system deployment
• Can provide spatial variation and long term
Offshore wind resource assessment
Offshore wind resource assessment
Uncertainty
• Concerned with Uncertainty in Wind:
a. Measurement
b. Long term
c. Coverage
• Uncertainty in Yield
a. Modeling
b. Wakes
Uncertainity
 Europe is the global leader in offshore wind energy
installation.
Globally installations have reached over 5,000 MW (Europe :
4995 MW followed by China: 390 MW and Japan: 25 MW).
India has significant off shore wind power potential - Offshore
wind potential of Tamil Nadu estimated as 127 GW at 80 m
height in a WISE study (needs further validation).
Preliminary assessment conducted by Scottish Development
International - Tamil Nadu has potential of about 1 GW in
north of Rameswaram and 1 GW in south of Kanyakumari.

•
•
3
CASE STUDY
1.INDIA
Offshore Wind Energy – Technology
Technology for offshore turbines same as that of onshore
turbines and their operational life also same (~ 20 years).

 The rated capacity of turbines higher than that of
onshore - in range of 3 MW-5 MW.
Off shore wind farms in water depths from 0.8 to 220 m
with monopile, jacket, tripod and floating technologies.

 At different depths, turbine installations require
different type of bases for stability .
 Monopile base is used for water upto 30 m depth,
whereas turbines installed on tripod or steel jacket base
for 20-80 m depths.
4
5
Offshore Wind Energy- India Status
•
•
India is blessed with coastline of about 7600 Km.
United Nations Convention on Law of the Sea gives
India exclusive rights over its Exclusive Economic
Zone (200 nautical miles from baseline) to develop
offshore wind energy.
• Efforts so far limited to preliminary resource
assessment.
• C-WET has measured near shore wind data at 54
locations along the coast.
7
Preliminary studies by C-WET and Indian National Centre•
for Ocean Information Services (INCOIS), Hyderabad
suggest potential along Tamil Nadu, Gujarat and
Maharashtra coasts.
Scottish Development• International’s study done in
atJanuary, 2012 has indicated potential of 1 GW each
Kanniyakumari and North of Rameshwaram.
• These results required validation by setting
data.
up of
offshore masts to measure 2-3 years wind
• C-WET to carry out 100 m anemometry at Dhanuskodi,
Rameshwaram (near the sea).
8
9
Potential Locations at Rameshwaram and
Kanniyakumari suggested by Scottish Consultant
10
Offshore Wind Energy Development in India-
Relevant Issues
• High Cost-
times than
The cost of offshore wind farms almost 1.5 –
that of onshore wind farms.
2
• Offshore resource characterization required for firming up
potential.
• Development of a policy framework including the
regulatory process.
• Capability creation for understanding the nuances of
turbine and array design consideration and grid integration.
11
Nodal Ministry
MNRE to act as nodal ministry for development
wind energy in the country.
of offshore
Functions:
• Overall monitoring of the offshore wind development in the
country.
Co-ordination with other Ministries/Departments.
Issuing guidelines/directives for development of offshore wind
energy.
Oversee working and to provide necessary support to National
Offshore Wind Energy Authority (NOWA) for smooth
functioning.
Promoting indigenous research for technology development.
•
•
•
•
19
National Offshore Wind Energy Authority
(NOWA)
National Offshore Wind Energy Authority (NOWA) to be
established under the aegis of MNRE - to be responsible for
the following:
 Carry out Resource Assessment and Surveys in the EEZ of
the country.
 Enter into contract with the project developers for
thedevelopment of offshore wind energy project in
territorial water (12 nm).
Single Window Agency to facilitate clearances.
20
2.DENMARK
• In 1991, Denmark began operating the world’s first offshore wind farm.
• Denmark has the industry’s simplest permitting framework.
• The Danish Energy Agency acts a “one-stop-shop” for offshore wind farm
permitting, coordinating with other agencies to issue all three required
licenses: a license to carry out preliminary investigations, a license to establish
the offshore wind turbines, and a license to exploit wind power for a
given number of years including, for projects greater than 25 MW, an
approval for electricity production. All offshore wind projects are subject to an
environmental impact assessment
3.United kingdom
• The UK has a mandate to reach 15 percent renewable energy sources
for electricity by 2020.
• Since the UK’s first offshore wind farm was commissioned in December
2000, the UK has moved aggressively to continue developing this renewable
resource.
• In 2008, the UK overtook Denmark as a leader in MW capacity of offshore
wind power.
• In September 2010, the 300 MW Thanet wind farm came online,bringing the
UK total to operational offshore wind farms with a cumulative capacity of 1,341
MW.
• Another four offshore wind farms are under construction, and seven more
have been approved, which would add another 3,772 MW of capacity upon
completion.
• Germany’s first offshore wind farm was installed in 2008.
• The German wind industry expects 300 MW of new offshore wind capacity to be
installed in 2010.
• A new Power Line Expansion Law makes it easier to use underground cables and
• allows the costs of connecting the offshore wind farm to the grid to be spread
nationwide.
• Offshore wind is projected to reach a capacity of 10,000 MW in Germany by 2020.
4.Germany
REFERENCES
• Barthelmie, R.J., 1993, Prospects for Offshore Wind Energy, Wind Engineering, 17, 2, 86-89.
• Ladenburg, J., Dubgaard, A., Preferences of coastal zone users regarding the siting of
offshore wind farms, Ocean & Coastal Management, 52 (2009) 233-242.
• Offshore Wind Resource Assessment of the Gulf of Thailand J. Waewsak1, M. Landry2 and
Y. Gagnon2
• Nikolaos, N., 2004. Deep water offshore wind technologies. A thesis submitted for the
degree of Master in Science In Energy Systems and the Environment. University of
Strathclyde. Department of Mechanical Engineering September 2004. Available at:
www.esru.strath.ac.uk/Documents/ MSc_2004/nikolaos.pdf [Accessed 26 March 2009].
• IEA, 2005. Offshore Wind Experiences. International Energy Agency, Brussels.
1 de 40

Recomendados

Classification of hazardous area for lighting por
Classification of hazardous area   for lightingClassification of hazardous area   for lighting
Classification of hazardous area for lightingHarendra Vishwakarma
1.1K visualizações11 slides
Photovoltaic market and industry trends 2019 por
Photovoltaic market and industry trends 2019Photovoltaic market and industry trends 2019
Photovoltaic market and industry trends 2019Leonardo ENERGY
1K visualizações47 slides
Hazardous area classification and Elecrtical, Instrument and Process Engineer... por
Hazardous area classification and Elecrtical, Instrument and Process Engineer...Hazardous area classification and Elecrtical, Instrument and Process Engineer...
Hazardous area classification and Elecrtical, Instrument and Process Engineer...Kathiresan Nadar
2.3K visualizações27 slides
Explosion protection theory and practice por
Explosion protection   theory and practiceExplosion protection   theory and practice
Explosion protection theory and practiceDavid Pires
10.2K visualizações60 slides
Hazardous Area Classification por
Hazardous Area ClassificationHazardous Area Classification
Hazardous Area Classificationguest81e1c7
25.8K visualizações100 slides
Samsung SDI energy storage system por
Samsung SDI energy storage systemSamsung SDI energy storage system
Samsung SDI energy storage systemSAMSUNG SDI
8.4K visualizações7 slides

Mais conteúdo relacionado

Mais procurados

Optimizing Operation & Maintenance Practices for Solar Power Plant por
Optimizing Operation & Maintenance Practices for Solar Power PlantOptimizing Operation & Maintenance Practices for Solar Power Plant
Optimizing Operation & Maintenance Practices for Solar Power PlantGensol Engineering Limited
6.2K visualizações28 slides
Solar and wind power forecasting por
Solar and wind power forecastingSolar and wind power forecasting
Solar and wind power forecastingRCREEE
3.9K visualizações79 slides
Dissolved Gas Analysis of conventional diagnosis techniques for transformer por
Dissolved Gas Analysis of conventional diagnosis techniques for transformer Dissolved Gas Analysis of conventional diagnosis techniques for transformer
Dissolved Gas Analysis of conventional diagnosis techniques for transformer Hardikarathod
354 visualizações18 slides
Impacts of distributed generation on electricity market por
Impacts of distributed generation on electricity marketImpacts of distributed generation on electricity market
Impacts of distributed generation on electricity marketHarsh Dhiman
2.1K visualizações28 slides
H2 Safety por
H2 SafetyH2 Safety
H2 SafetyRay Brown
10.8K visualizações80 slides
Long Duration Energy Storage - Eclipse Ventures.pdf por
Long Duration Energy Storage - Eclipse Ventures.pdfLong Duration Energy Storage - Eclipse Ventures.pdf
Long Duration Energy Storage - Eclipse Ventures.pdfDiana Zhou
384 visualizações23 slides

Mais procurados(20)

Optimizing Operation & Maintenance Practices for Solar Power Plant por Gensol Engineering Limited
Optimizing Operation & Maintenance Practices for Solar Power PlantOptimizing Operation & Maintenance Practices for Solar Power Plant
Optimizing Operation & Maintenance Practices for Solar Power Plant
Gensol Engineering Limited6.2K visualizações
Solar and wind power forecasting por RCREEE
Solar and wind power forecastingSolar and wind power forecasting
Solar and wind power forecasting
RCREEE3.9K visualizações
Dissolved Gas Analysis of conventional diagnosis techniques for transformer por Hardikarathod
Dissolved Gas Analysis of conventional diagnosis techniques for transformer Dissolved Gas Analysis of conventional diagnosis techniques for transformer
Dissolved Gas Analysis of conventional diagnosis techniques for transformer
Hardikarathod354 visualizações
Impacts of distributed generation on electricity market por Harsh Dhiman
Impacts of distributed generation on electricity marketImpacts of distributed generation on electricity market
Impacts of distributed generation on electricity market
Harsh Dhiman2.1K visualizações
H2 Safety por Ray Brown
H2 SafetyH2 Safety
H2 Safety
Ray Brown10.8K visualizações
Long Duration Energy Storage - Eclipse Ventures.pdf por Diana Zhou
Long Duration Energy Storage - Eclipse Ventures.pdfLong Duration Energy Storage - Eclipse Ventures.pdf
Long Duration Energy Storage - Eclipse Ventures.pdf
Diana Zhou384 visualizações
Hazardous Area Equipment Certification - ATEX (Zone 1 Zone 2), IEC Ex, NEMA (... por Thorne & Derrick International
Hazardous Area Equipment Certification - ATEX (Zone 1 Zone 2), IEC Ex, NEMA (...Hazardous Area Equipment Certification - ATEX (Zone 1 Zone 2), IEC Ex, NEMA (...
Hazardous Area Equipment Certification - ATEX (Zone 1 Zone 2), IEC Ex, NEMA (...
Thorne & Derrick International16.4K visualizações
Latest in energy storage por Loic Charmoille
Latest in energy storageLatest in energy storage
Latest in energy storage
Loic Charmoille1.7K visualizações
Grounding For Solar/ PV Panels por Jmv Lps
Grounding For Solar/ PV PanelsGrounding For Solar/ PV Panels
Grounding For Solar/ PV Panels
Jmv Lps2.2K visualizações
Optimizing battery sizing and dispatching - mugrid analytics fina-lsfs por Tim Montague, M.S., CFRE (LION)
Optimizing battery sizing and dispatching  - mugrid analytics fina-lsfsOptimizing battery sizing and dispatching  - mugrid analytics fina-lsfs
Optimizing battery sizing and dispatching - mugrid analytics fina-lsfs
Tim Montague, M.S., CFRE (LION)210 visualizações
Battery energy-storage-system por H Janardan Prabhu
Battery energy-storage-systemBattery energy-storage-system
Battery energy-storage-system
H Janardan Prabhu668 visualizações
A te x wall chart por Syamsul Nizam
A te x wall chartA te x wall chart
A te x wall chart
Syamsul Nizam7.3K visualizações
Energy Transition - A comprehensive approach por Sampe Purba
Energy Transition - A comprehensive approachEnergy Transition - A comprehensive approach
Energy Transition - A comprehensive approach
Sampe Purba2.3K visualizações
Presentation_Wind & Solar Forecasting & Schedulong in India por Das A. K.
Presentation_Wind & Solar Forecasting & Schedulong in IndiaPresentation_Wind & Solar Forecasting & Schedulong in India
Presentation_Wind & Solar Forecasting & Schedulong in India
Das A. K.1.2K visualizações
Narada 200 ah Data sheet por Naveed Ahmed
Narada 200 ah Data sheetNarada 200 ah Data sheet
Narada 200 ah Data sheet
Naveed Ahmed2.6K visualizações
Wind power forecasting an application of machine por Jawad Khan
Wind power forecasting   an application of machineWind power forecasting   an application of machine
Wind power forecasting an application of machine
Jawad Khan1.3K visualizações
Energy management system slide 2 por shaufiq boboy
Energy management system slide 2Energy management system slide 2
Energy management system slide 2
shaufiq boboy4.1K visualizações
Energy Management Audit por alnaidu305
Energy Management AuditEnergy Management Audit
Energy Management Audit
alnaidu305934 visualizações
Wind energy I. Lesson 9. Control strategies por Tuong Do
Wind energy I. Lesson 9. Control strategiesWind energy I. Lesson 9. Control strategies
Wind energy I. Lesson 9. Control strategies
Tuong Do2.3K visualizações
ESS for Utility por SAMSUNG SDI
ESS for UtilityESS for Utility
ESS for Utility
SAMSUNG SDI6.6K visualizações

Similar a Offshore wind resource assessment

Remote Sensing Application in Wind Energy por
Remote Sensing Application in Wind EnergyRemote Sensing Application in Wind Energy
Remote Sensing Application in Wind EnergySiraj Ahmed
116 visualizações33 slides
04-DESIGN AND LAYOUT OF WIND FARM.pdf por
04-DESIGN AND LAYOUT OF WIND FARM.pdf04-DESIGN AND LAYOUT OF WIND FARM.pdf
04-DESIGN AND LAYOUT OF WIND FARM.pdfPrakashBadal9
119 visualizações68 slides
Wind Energy Technology & Application of Remote Sensing por
Wind Energy Technology & Application of Remote SensingWind Energy Technology & Application of Remote Sensing
Wind Energy Technology & Application of Remote SensingSiraj Ahmed
238 visualizações60 slides
Derrick alan por
Derrick alanDerrick alan
Derrick alanWinterwind
894 visualizações23 slides
OM_MAO_2012_Jun por
OM_MAO_2012_JunOM_MAO_2012_Jun
OM_MAO_2012_JunMDO_Lab
384 visualizações24 slides
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w... por
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...Lloyd's Register Renewables
1.2K visualizações19 slides

Similar a Offshore wind resource assessment(20)

Remote Sensing Application in Wind Energy por Siraj Ahmed
Remote Sensing Application in Wind EnergyRemote Sensing Application in Wind Energy
Remote Sensing Application in Wind Energy
Siraj Ahmed116 visualizações
04-DESIGN AND LAYOUT OF WIND FARM.pdf por PrakashBadal9
04-DESIGN AND LAYOUT OF WIND FARM.pdf04-DESIGN AND LAYOUT OF WIND FARM.pdf
04-DESIGN AND LAYOUT OF WIND FARM.pdf
PrakashBadal9119 visualizações
Wind Energy Technology & Application of Remote Sensing por Siraj Ahmed
Wind Energy Technology & Application of Remote SensingWind Energy Technology & Application of Remote Sensing
Wind Energy Technology & Application of Remote Sensing
Siraj Ahmed238 visualizações
Derrick alan por Winterwind
Derrick alanDerrick alan
Derrick alan
Winterwind894 visualizações
OM_MAO_2012_Jun por MDO_Lab
OM_MAO_2012_JunOM_MAO_2012_Jun
OM_MAO_2012_Jun
MDO_Lab384 visualizações
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w... por Lloyd's Register Renewables
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...
Peter Davies & Morten Boegild - Tidal turbine array modelling, influence of w...
Lloyd's Register Renewables1.2K visualizações
Wind farm planning and commissioning por Preet_patel
Wind farm planning and commissioningWind farm planning and commissioning
Wind farm planning and commissioning
Preet_patel1.2K visualizações
2012 offshore wind cables por MEC Intelligence
2012 offshore wind cables2012 offshore wind cables
2012 offshore wind cables
MEC Intelligence45 visualizações
Advances in Wind Assessment Technology: Industry Pursuit of Higher Resource M... por Renewable NRG Systems
Advances in Wind Assessment Technology: Industry Pursuit of Higher Resource M...Advances in Wind Assessment Technology: Industry Pursuit of Higher Resource M...
Advances in Wind Assessment Technology: Industry Pursuit of Higher Resource M...
Renewable NRG Systems850 visualizações
Gis substation por Asif Eqbal
Gis substationGis substation
Gis substation
Asif Eqbal30.2K visualizações
Siting and Planning Design of Wind Turbines por Himanshu Paghdal
Siting and Planning Design of Wind TurbinesSiting and Planning Design of Wind Turbines
Siting and Planning Design of Wind Turbines
Himanshu Paghdal2.1K visualizações
Wind Energy For Geoscience Students por Keshav Letourneau
Wind Energy For Geoscience Students Wind Energy For Geoscience Students
Wind Energy For Geoscience Students
Keshav Letourneau778 visualizações
Campbell iain por Winterwind
Campbell iainCampbell iain
Campbell iain
Winterwind860 visualizações
Wind resource assessment. por RCREEE
Wind resource assessment.Wind resource assessment.
Wind resource assessment.
RCREEE3K visualizações
Geoscience in Offshore Renewables por Farida Ismayilova
Geoscience in Offshore RenewablesGeoscience in Offshore Renewables
Geoscience in Offshore Renewables
Farida Ismayilova34 visualizações
RDR 9_29_16 FINAL por Janelle Williams
RDR 9_29_16 FINALRDR 9_29_16 FINAL
RDR 9_29_16 FINAL
Janelle Williams101 visualizações
Wind Energy SCADA Training por Tonex
Wind Energy SCADA TrainingWind Energy SCADA Training
Wind Energy SCADA Training
Tonex432 visualizações
Nrsi can wea2010_cut_in_speeds(stephenson) por nm2allen
Nrsi can wea2010_cut_in_speeds(stephenson)Nrsi can wea2010_cut_in_speeds(stephenson)
Nrsi can wea2010_cut_in_speeds(stephenson)
nm2allen275 visualizações
Conducting a Site Assessment and PV System Field Survey por Eyad Adnan
Conducting a Site Assessment and   PV System Field SurveyConducting a Site Assessment and   PV System Field Survey
Conducting a Site Assessment and PV System Field Survey
Eyad Adnan1.6K visualizações
Predicting the Wind - wind farm prospecting with GIS por Kenex Ltd
Predicting the Wind - wind farm prospecting with GISPredicting the Wind - wind farm prospecting with GIS
Predicting the Wind - wind farm prospecting with GIS
Kenex Ltd731 visualizações

Último

Codes and Conventions.pptx por
Codes and Conventions.pptxCodes and Conventions.pptx
Codes and Conventions.pptxIsabellaGraceAnkers
13 visualizações5 slides
SUMIT SQL PROJECT SUPERSTORE 1.pptx por
SUMIT SQL PROJECT SUPERSTORE 1.pptxSUMIT SQL PROJECT SUPERSTORE 1.pptx
SUMIT SQL PROJECT SUPERSTORE 1.pptxSumit Jadhav
18 visualizações26 slides
Design_Discover_Develop_Campaign.pptx por
Design_Discover_Develop_Campaign.pptxDesign_Discover_Develop_Campaign.pptx
Design_Discover_Develop_Campaign.pptxShivanshSeth6
37 visualizações20 slides
Generative AI Models & Their Applications por
Generative AI Models & Their ApplicationsGenerative AI Models & Their Applications
Generative AI Models & Their ApplicationsSN
10 visualizações1 slide
Renewal Projects in Seismic Construction por
Renewal Projects in Seismic ConstructionRenewal Projects in Seismic Construction
Renewal Projects in Seismic ConstructionEngineering & Seismic Construction
5 visualizações8 slides
Effect of deep chemical mixing columns on properties of surrounding soft clay... por
Effect of deep chemical mixing columns on properties of surrounding soft clay...Effect of deep chemical mixing columns on properties of surrounding soft clay...
Effect of deep chemical mixing columns on properties of surrounding soft clay...AltinKaradagli
10 visualizações10 slides

Último(20)

Codes and Conventions.pptx por IsabellaGraceAnkers
Codes and Conventions.pptxCodes and Conventions.pptx
Codes and Conventions.pptx
IsabellaGraceAnkers13 visualizações
SUMIT SQL PROJECT SUPERSTORE 1.pptx por Sumit Jadhav
SUMIT SQL PROJECT SUPERSTORE 1.pptxSUMIT SQL PROJECT SUPERSTORE 1.pptx
SUMIT SQL PROJECT SUPERSTORE 1.pptx
Sumit Jadhav 18 visualizações
Design_Discover_Develop_Campaign.pptx por ShivanshSeth6
Design_Discover_Develop_Campaign.pptxDesign_Discover_Develop_Campaign.pptx
Design_Discover_Develop_Campaign.pptx
ShivanshSeth637 visualizações
Generative AI Models & Their Applications por SN
Generative AI Models & Their ApplicationsGenerative AI Models & Their Applications
Generative AI Models & Their Applications
SN10 visualizações
Effect of deep chemical mixing columns on properties of surrounding soft clay... por AltinKaradagli
Effect of deep chemical mixing columns on properties of surrounding soft clay...Effect of deep chemical mixing columns on properties of surrounding soft clay...
Effect of deep chemical mixing columns on properties of surrounding soft clay...
AltinKaradagli10 visualizações
MongoDB.pdf por ArthyR3
MongoDB.pdfMongoDB.pdf
MongoDB.pdf
ArthyR345 visualizações
2023Dec ASU Wang NETR Group Research Focus and Facility Overview.pptx por lwang78
2023Dec ASU Wang NETR Group Research Focus and Facility Overview.pptx2023Dec ASU Wang NETR Group Research Focus and Facility Overview.pptx
2023Dec ASU Wang NETR Group Research Focus and Facility Overview.pptx
lwang78109 visualizações
Update 42 models(Diode/General ) in SPICE PARK(DEC2023) por Tsuyoshi Horigome
Update 42 models(Diode/General ) in SPICE PARK(DEC2023)Update 42 models(Diode/General ) in SPICE PARK(DEC2023)
Update 42 models(Diode/General ) in SPICE PARK(DEC2023)
Tsuyoshi Horigome38 visualizações
BCIC - Manufacturing Conclave - Technology-Driven Manufacturing for Growth por Innomantra
BCIC - Manufacturing Conclave -  Technology-Driven Manufacturing for GrowthBCIC - Manufacturing Conclave -  Technology-Driven Manufacturing for Growth
BCIC - Manufacturing Conclave - Technology-Driven Manufacturing for Growth
Innomantra 6 visualizações
START Newsletter 3 por Start Project
START Newsletter 3START Newsletter 3
START Newsletter 3
Start Project6 visualizações
MK__Cert.pdf por Hassan Khan
MK__Cert.pdfMK__Cert.pdf
MK__Cert.pdf
Hassan Khan15 visualizações
DESIGN OF SPRINGS-UNIT4.pptx por gopinathcreddy
DESIGN OF SPRINGS-UNIT4.pptxDESIGN OF SPRINGS-UNIT4.pptx
DESIGN OF SPRINGS-UNIT4.pptx
gopinathcreddy19 visualizações
sam_software_eng_cv.pdf por sammyigbinovia
sam_software_eng_cv.pdfsam_software_eng_cv.pdf
sam_software_eng_cv.pdf
sammyigbinovia8 visualizações
Searching in Data Structure por raghavbirla63
Searching in Data StructureSearching in Data Structure
Searching in Data Structure
raghavbirla6314 visualizações
MSA Website Slideshow (16).pdf por msaucla
MSA Website Slideshow (16).pdfMSA Website Slideshow (16).pdf
MSA Website Slideshow (16).pdf
msaucla92 visualizações
DevOps-ITverse-2023-IIT-DU.pptx por Anowar Hossain
DevOps-ITverse-2023-IIT-DU.pptxDevOps-ITverse-2023-IIT-DU.pptx
DevOps-ITverse-2023-IIT-DU.pptx
Anowar Hossain12 visualizações
GDSC Mikroskil Members Onboarding 2023.pdf por gdscmikroskil
GDSC Mikroskil Members Onboarding 2023.pdfGDSC Mikroskil Members Onboarding 2023.pdf
GDSC Mikroskil Members Onboarding 2023.pdf
gdscmikroskil58 visualizações

Offshore wind resource assessment

  • 1. OFFSHORE WIND RESOURCE ASSESSMENT Dileep V Raj Mtech Renewable Energy Technologies Amrita Vishwa Vidyapeetham,Coimbatore
  • 2. Why Offshore ? • Higher wind speeds -> higher yield • Larger wind farms possible – fewer space/land availability constraints • No complex terrain or visual impact issues • No displacement of people But • A lot more expensive than onshore windfarms…. • Vessel costs + turbine foundation/installation + electrical cabling to land
  • 3. INTRODUCTION • The wind power community has a long record on onshore design and construction of wind turbine foundations. • But the offshore wind power is still in the embryonic stage but with aggressive and ambitious plans for developments. • Metocean data- • Meterological data( Wind, Atmospheric data, Air Temperature, etc ) and Oceanographic data ( Waves, Current, water level, Salinity, Water temperature , Ice etc ) are the important design basis parameters.
  • 4. Traditional offshore structures vs. wind turbine foundations • Any structure used in offshore oil and gas exploration and production constitutes a vital part of a successful energy production, vital both in terms of construction costs, of safety, of human lives and the environment, and in terms of revenues from the production. • An offshore wind turbine foundation is typically simpler and much cheaper to build than an oil platform. • Furthermore, the wind turbine will be un-manned except for maintenance and repair, the environmental impact from a damaged structure is limited, and the value of the energy production per foundation unit is far less than the value from oil production from a platform.
  • 6. Yield assessment road map Required data level : Absolute min of 1 year on site – 2 years best practice
  • 7. Significance of Offshore WRA • Energy yield prediction • Extreme wind and turbulence analysis -> turbine selection • Minimizing financial risk and securing project financing: • The importance of uncertainty
  • 8. Challenges to resource assessment offshore • Rough weather and sea conditions -> higher risk • High met mast costs: 6-12 mi dollors offshore as opposed to 115-175k dollors onshore • Very few existing data points to provide reference data -> account for temporal variability of wind? • Account for atmospheric stability and sea surface roughness?
  • 10. Hub-Height Wind Speed • Turbines in offshore wind plants must be designed to withstand extreme wind events in the case of mechanical yaw error. Hub-Height Shear and Natural Turbulence • For turbine selection and load estimation, it is also important to know the expected distribution of shear and natural (non-wake) turbulence. • There is no accurate method for scaling surface measurements to make accurate hub- height turbulence measurements. • The situation is not much more encouraging with numerical models. • Such models generate estimates both of wind shear and turbulence, but there is little evidence that validates their performance for hub-height shear and turbulence.
  • 11. Air Temperature and Atmospheric Surface Pressure • Air temperature is needed in conjunction with atmospheric pressure primarily to calculate the distribution of air density at prospective wind plant sites. • Unlike dynamic variables, this information is well known both from surface measurements and from numerical models. Lightning • Lightning is a common feature of offshore environments, and lightning protection systems should be routinely included in the design of renewable energy plants. • Lightning detection networks extend well offshore; thus, frequencies of lightning events can be mapped for offshore waters. • This information may have some utility in assessing lightning risk to a facility.
  • 12. Ice Loading • Sea ice loading on structures is a significant design consideration in cold regions. • Ice accretion affects blade aerodynamics for wind turbines and, in severe cases, could affect structural integrity of turbine components. • Icing can result both from freezing precipitation and fog and from sea spray in subfreezing temperatures. Tidal Elevations • Tidal elevations for wind turbine structures are important primarily for designing access and for identifying the parts of structures that will need to be specially protected from sea water corrosion. • Coverage and accuracy of tidal data is sufficient for wind development purposes. Salinity • Salinity information is important to inform design consideration for corrosion.
  • 13. Measurement Campaign: Offshore Met Mast • Cup anemometers and wind vanes; along with meteorological sensors. • Only IEC compliant option available for WRA • Limited access at sea : site visits minimum; safety requirements higher • Allows monitoring of birds and marine mammals as well as acts as platform for measuring wave height, scour movement etc. • Data monitoring required: sector filtering, cup degradation etc. • Issue : Flow distortion
  • 15. Courtesy:OFFSHORE WIND CLIMATE Wim Bierbooms Wind Energy Research Group (Aerospace Eng.)
  • 16. Offshore – Met mast vs. RS instruments • Met mast – accepted worldwide and bankable data provided, with international standards (MEASNET, IEC 61400-12) available • LiDARs and SoDARs – few validation studies offshore • RS (Remote Sensing) equipment such as LiDARs and SoDARs:  ease of transportation and installation on existing platforms  cost effective compared to tall masts  easier maintenance compared to tall masts  multiple height measurements • Commercially used offshore along with a met mast till now Exception: Beatrice project, UK – LiDAR only
  • 18. Metadata location fields and categories include the following: • Physical location (latitude, longitude, and elevation) • Site name and number • Political region (county and state) • Local environment description and photographs (topography, vegetation, and buildings or obstructions) Instrumentation and equipment metadata and categories include the following: • Data logger model and serial number • Sensors (model, serial number, height, orientation or boom direction, and calibration information) • Tower description (size, height, face width, and so on, lattice or tubular, guyed or non-guyed, face orientation, and tower commissioning report) • Remote sensing data (type of instrument, model, and serial number) • Data collection history (data outages, sensor changes, and unusual conditions such as severe weather)
  • 19. Data set description metadata include the following: • Starting and ending dates and times • Data sampling interval • Total number of records collected • Data collection rate (0%–100%) • Data format (ASCII text, database files, binary, and so on) • Channel number for each sensor • Name and contact of responsible person • Quality control and data screening procedures that have been applied
  • 20. Remote Sensing instruments How do they work? Principle of Doppler effect : change in frequency of a signal related to the line-of-sight velocity • LiDARs – Light Detection and Ranging; electromagnetic radiation reflected from aerosols • SoDARs- Sound Detection and Ranging; acoustic pulse reflected from the varying temperature structure of the atmosphere LiDAR types: Continuous Wave Pulsed Floating LiDAR
  • 21. Floating LiDAR • Innovate to give concurrent wind, wave, current data • Motion compensated • Must be used carefully to ensure uncertainty reduction • Can be used to provide project data at much reduced cost
  • 22. LiDAR fixed Platform • LiDAR now bankable with appropriate traceability • High reliability if looked after • Need a fixed platform in vicinity of project
  • 23. Atlas & Satellite • Satellite data: 10m wind speeds • Needs to be scaled to hub height • Dependent on satellite coverage/length of system deployment • Can provide spatial variation and long term
  • 26. Uncertainty • Concerned with Uncertainty in Wind: a. Measurement b. Long term c. Coverage • Uncertainty in Yield a. Modeling b. Wakes Uncertainity
  • 27.  Europe is the global leader in offshore wind energy installation. Globally installations have reached over 5,000 MW (Europe : 4995 MW followed by China: 390 MW and Japan: 25 MW). India has significant off shore wind power potential - Offshore wind potential of Tamil Nadu estimated as 127 GW at 80 m height in a WISE study (needs further validation). Preliminary assessment conducted by Scottish Development International - Tamil Nadu has potential of about 1 GW in north of Rameswaram and 1 GW in south of Kanyakumari.  • • 3 CASE STUDY 1.INDIA
  • 28. Offshore Wind Energy – Technology Technology for offshore turbines same as that of onshore turbines and their operational life also same (~ 20 years).   The rated capacity of turbines higher than that of onshore - in range of 3 MW-5 MW. Off shore wind farms in water depths from 0.8 to 220 m with monopile, jacket, tripod and floating technologies.   At different depths, turbine installations require different type of bases for stability .  Monopile base is used for water upto 30 m depth, whereas turbines installed on tripod or steel jacket base for 20-80 m depths. 4
  • 29. 5
  • 30. Offshore Wind Energy- India Status • • India is blessed with coastline of about 7600 Km. United Nations Convention on Law of the Sea gives India exclusive rights over its Exclusive Economic Zone (200 nautical miles from baseline) to develop offshore wind energy. • Efforts so far limited to preliminary resource assessment. • C-WET has measured near shore wind data at 54 locations along the coast. 7
  • 31. Preliminary studies by C-WET and Indian National Centre• for Ocean Information Services (INCOIS), Hyderabad suggest potential along Tamil Nadu, Gujarat and Maharashtra coasts. Scottish Development• International’s study done in atJanuary, 2012 has indicated potential of 1 GW each Kanniyakumari and North of Rameshwaram. • These results required validation by setting data. up of offshore masts to measure 2-3 years wind • C-WET to carry out 100 m anemometry at Dhanuskodi, Rameshwaram (near the sea). 8
  • 32. 9
  • 33. Potential Locations at Rameshwaram and Kanniyakumari suggested by Scottish Consultant 10
  • 34. Offshore Wind Energy Development in India- Relevant Issues • High Cost- times than The cost of offshore wind farms almost 1.5 – that of onshore wind farms. 2 • Offshore resource characterization required for firming up potential. • Development of a policy framework including the regulatory process. • Capability creation for understanding the nuances of turbine and array design consideration and grid integration. 11
  • 35. Nodal Ministry MNRE to act as nodal ministry for development wind energy in the country. of offshore Functions: • Overall monitoring of the offshore wind development in the country. Co-ordination with other Ministries/Departments. Issuing guidelines/directives for development of offshore wind energy. Oversee working and to provide necessary support to National Offshore Wind Energy Authority (NOWA) for smooth functioning. Promoting indigenous research for technology development. • • • • 19
  • 36. National Offshore Wind Energy Authority (NOWA) National Offshore Wind Energy Authority (NOWA) to be established under the aegis of MNRE - to be responsible for the following:  Carry out Resource Assessment and Surveys in the EEZ of the country.  Enter into contract with the project developers for thedevelopment of offshore wind energy project in territorial water (12 nm). Single Window Agency to facilitate clearances. 20
  • 37. 2.DENMARK • In 1991, Denmark began operating the world’s first offshore wind farm. • Denmark has the industry’s simplest permitting framework. • The Danish Energy Agency acts a “one-stop-shop” for offshore wind farm permitting, coordinating with other agencies to issue all three required licenses: a license to carry out preliminary investigations, a license to establish the offshore wind turbines, and a license to exploit wind power for a given number of years including, for projects greater than 25 MW, an approval for electricity production. All offshore wind projects are subject to an environmental impact assessment
  • 38. 3.United kingdom • The UK has a mandate to reach 15 percent renewable energy sources for electricity by 2020. • Since the UK’s first offshore wind farm was commissioned in December 2000, the UK has moved aggressively to continue developing this renewable resource. • In 2008, the UK overtook Denmark as a leader in MW capacity of offshore wind power. • In September 2010, the 300 MW Thanet wind farm came online,bringing the UK total to operational offshore wind farms with a cumulative capacity of 1,341 MW. • Another four offshore wind farms are under construction, and seven more have been approved, which would add another 3,772 MW of capacity upon completion.
  • 39. • Germany’s first offshore wind farm was installed in 2008. • The German wind industry expects 300 MW of new offshore wind capacity to be installed in 2010. • A new Power Line Expansion Law makes it easier to use underground cables and • allows the costs of connecting the offshore wind farm to the grid to be spread nationwide. • Offshore wind is projected to reach a capacity of 10,000 MW in Germany by 2020. 4.Germany
  • 40. REFERENCES • Barthelmie, R.J., 1993, Prospects for Offshore Wind Energy, Wind Engineering, 17, 2, 86-89. • Ladenburg, J., Dubgaard, A., Preferences of coastal zone users regarding the siting of offshore wind farms, Ocean & Coastal Management, 52 (2009) 233-242. • Offshore Wind Resource Assessment of the Gulf of Thailand J. Waewsak1, M. Landry2 and Y. Gagnon2 • Nikolaos, N., 2004. Deep water offshore wind technologies. A thesis submitted for the degree of Master in Science In Energy Systems and the Environment. University of Strathclyde. Department of Mechanical Engineering September 2004. Available at: www.esru.strath.ac.uk/Documents/ MSc_2004/nikolaos.pdf [Accessed 26 March 2009]. • IEA, 2005. Offshore Wind Experiences. International Energy Agency, Brussels.