OPTIMISATION OF OPERATIONS FOR ONSHORE AND OFFSHORE WIND FARMS - PowerPoint PPT Presentation

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OPTIMISATION OF OPERATIONS FOR ONSHORE AND OFFSHORE WIND FARMS

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Worth more attention than it often gets but experience and ... Much reduced scope for trial and error. Higher stakes. Common factor is turbine reliability ... – PowerPoint PPT presentation

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Title: OPTIMISATION OF OPERATIONS FOR ONSHORE AND OFFSHORE WIND FARMS


1
OPTIMISATION OF OPERATIONS FOR ONSHORE AND
OFFSHORE WIND FARMS
EWEC 2006, Athens, 1 March 2006 Colin Morgan
ltcolin.morgan_at_garradhassan.comgt
2
Optimisation?
Onshore 97 30k/machine/annum (typical!)
  • Of what?
  • Availability
  • Cost of OM

Offshore ? ?
3
Onshore OM costs
  • OM costs have weak influence on project
    economics
  • NPV approx. 10 of CAPEX
  • But represent a high proportion of operational
    cashflows
  • Decision-driver on retrofits in-house
    servicing re-powering

4
The offshore differences ..
5
The offshore differences ..
6
The offshore differences ..
7
O2M Structure
8
Outputs
  • Availability
  • Production and Lost Production
  • Costs, resource and spares usage

9
Example Wind Farm (onshore / offshore)
  • 100 x 3MW units
  • Representative assumptions on
  • Unit costs
  • Revenue assumptions
  • Failure / alarm shutdown profiles
  • Offshore and onshore made as comparable as
    possible
  • OM crewing optimised in both situations to give
    minimum OM cost
  • Offshore-specific
  • Wave climate moderate (long-term Hs 1.29m)
  • Access limit Hs lt 1.5m
  • Transit time to site 2hrs (including
    mobilisation etc)

10
Findings - costs
Offshore vs. onshore Sensitivity of cost to
failures
11
Findings - downtime
Offshore vs. onshore Sensitivity of availability
to failures Serial failure situation not
modelled Value of warranty
12
Summarising
  • Onshore OM
  • Worth more attention than it often gets but
    experience and trial and error can lead to
    reasonable optimisation of any given project or
    portfolio
  • Offshore OM
  • Shortage of relevant project experience
  • Much reduced scope for trial and error
  • Higher stakes
  • Common factor is turbine reliability
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