Collision Risk Modelling (CRM)

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Avian Collision Risk: from qualitative to quantitative assessments NZ Wind Energy Conference 11 – 13 April 2011

NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Dr. Laurence Barea Senior Terrestrial Ecologist Golder Associates Ltd

E Waite

Introduction Planning goal

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successful consent application.



Qualitative v quantitative assessments



Example = Collision Risk Modelling



Improving the current modelling process



Collision modelling can provide framework for stakeholder interaction that facilitates the RMA process

Birds and Wind Farms Birds often major focus when planning wind farm Concern Potential effects; • Displacement • Habitat loss • Collision risk NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Potential effects

Qualitative v Quantitative Globally collision effects are variable – often low, but not always. Little known in NZ context = uncertainty RMA process.

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Lack of knowledge and increasing number of applications = higher level of scrutiny in RMA process. Important to be prepared

Resource Management Act Section 17 – requires avoid, remedy, mitigate. Now - Biodiversity Offsets

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Need quantitative approach to mitigation planning • Too little = mitigation not scaled to effect • Too much = unnecessary cost! • Can effects be mitigated? • Are offsets really needed? • Monitoring targets?

Difficult to answer with a qualitative study

Qualitative v Quantitative Qualitative assessment • • • • •

Descriptive Species list Sometimes semi quantitative Risk = low, moderate, high Difficult to defend in court

Quantitative assessment

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• • • •

Numerical data Statistical analysis Numerical results accounting for variation More defendable in court

Qualitative v Quantitative Problem - qualitative studies can lead to subjective interpretation. • • • • •

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Lack of objective basis for effects assessment Lack of transparency Open to values based interpretation Too much uncertainty for decision makers Expert opinion can be difficult to defend

Collision risk modelling is one way to quantify potential effects = reduce project risk.

Collision Risk Modelling (CRM) CRM is a Risk analysis tool • Objective use of quantitative data

Estimate of number of collisions • Quantitative assessment of potential effects • Mitigation/Offsets

Explicitly addresses uncertainty/variation

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• • • • •

Is there an effect? Magnitude? Is Wind Farm appropriate? Framework for study design Data needs

Collision Risk Modelling (CRM) Collision Risk Modelling is quantitative not qualitative. It is not; Species present

Sometimes fly at rotor height

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E Waite

Qualitative statement about risk – low, medium, high?

Not helpful – too much uncertainty!

Stage 1 – Estimate Collision Probability Turbine specifications

Bird metrics

Collision Probability

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Correct for Avoidance

Stage 2 - Bird Use and Wind Farm Size Flights through study area at rotor height

Proportion at risk

Wind farm shape / size

x Collision Probability NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Mortality Estimate

Band Model – Scottish Natural Heritage CALCULATION OF COLLISION RISK FOR BIRD PASSING THROUGH ROTOR AREA

K: [1D or [3D] (0 or 1 NoBlades MaxChord Pitch (degrees)

1 3 2.3 16

BirdLength Wingspan Flapping (0) or glide

0.5 1.2 0

Bird speed RotorDiam RotationPeriod

Bird aspect ratioo: 

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8 52 1.91

0.42

Calculation of alpha and p(collision) as a function of radius Upw ind: m

m m

r/R

c/C



collide

radius

chord

alpha

length

0.025

0.575

3.74

Dow nw ind: contribution collide

p(collision)

9.61

1.00

contribution

from radius r length

0.00125

p(collision)

8.88

1.00

from radius r

0.00125

0.075

0.575

1.25

3.45

0.68

0.00508

2.72

0.53

0.00400

0.125

0.702

0.75

2.50

0.49

0.00614

1.61

0.32

0.00396

0.175

0.860

0.53

2.20

0.43

0.00757

1.11

0.22

0.00382

m/sec

0.225

0.994

0.42

2.04

0.40

0.00903

0.78

0.15

0.00346

m

0.275

0.947

0.34

1.81

0.36

0.00978

0.61

0.12

0.00330

sec

0.325

0.899

0.29

1.64

0.32

0.01048

0.50

0.10

0.00320

0.375

0.851

0.25

1.51

0.30

0.01111

0.57

0.11

0.00420

0.425

0.804

0.22

1.40

0.27

0.01169

0.62

0.12

0.00516

0.475

0.756

0.20

1.31

0.26

0.01220

0.65

0.13

0.00606

0.525

0.708

0.18

1.23

0.24

0.01266

0.67

0.13

0.00691

0.575

0.660

0.16

1.16

0.23

0.01305

0.68

0.13

0.00769

0.625

0.613

0.15

1.09

0.21

0.01339

0.69

0.13

0.00841

0.675

0.565

0.14

1.03

0.20

0.01367

0.69

0.13

0.00908

0.725

0.517

0.13

0.98

0.19

0.01389

0.68

0.13

0.00969

0.775

0.470

0.12

0.92

0.18

0.01405

0.67

0.13

0.01023

0.825

0.422

0.11

0.87

0.17

0.01414

0.66

0.13

0.01072

0.875

0.374

0.11

0.83

0.16

0.01419

0.65

0.13

0.01115

0.925

0.327

0.10

0.78

0.15

0.01417

0.63

0.12

0.01151

0.975

0.279

0.10

0.74

0.14

0.01409

0.62

0.12

0.01182

Overall p(collision) =

Upw ind

22.2%

Average 17.9%

Dow nw ind

13.6%

Collision Risk Modelling (CRM) When should CRM be considered? Not all wind farms need CRM • Threatened species uses site • Ecologically important species • Migration corridor NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Collision Risk Modelling (CRM) CRM Worldwide UK – Band Model SNH Australia – Developed own model

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USA – Bald and Golden Eagle Act (2011 USFWS guidelines) recommend CRM - incidental take permits, avoid federal litigation.

S Percival

Collision Risk Modelling (CRM) Taharoa 2008-2009 Shorebird migration – SIPO (28 collisions) 1.settled appeal 2.mitigation

HMR 2010 Shorebirds and bush birds

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1.agreed conditions 2.mitigation and offsetting

Fuller et al. 2009

Collision Risk Modelling (CRM) Deterministic • Current model does not account for variation – Band model = single values in, single value out

• Problem for stakeholders - delays • Reduced confidence for decision makers = project risk NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

– further analysis required = costly delays – lost opportunity to agree conditions before EC/BOI – mitigation not scaled to potential effect

Deterministic Modelling Process

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Collision Risk Modelling (CRM) Improved Model – Probabilistic – Probability distributions in and out – Variation is quantified and analyzed – Provides for better defense of range of potential effects in court

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Probabilistic Modelling Process

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Creating a Better Model – Monte Carlo Input parameters

Sample variable parameters from probability distributions

Repeat

Dynamically simulate collision risk

Save results NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Assemble results into probability distributions

Avoidance

Collision Risk Modelling (CRM)

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Deterministic estimate ~0.27

Collision Risk Modelling (CRM)

NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Deterministic estimate ~0.24

Collision Risk Modelling (CRM)

NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz

Deterministic estimate ~0.31

Collision Risk Modelling (CRM)

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Deterministic estimate ~0.27

Collision Risk Modelling (CRM) Main benefits of CRM • Quantitative method accounting for variation – Stakeholders, Environment Court or BOI – Reduced project risk

• Framework for stakeholder interactions

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– Magnitude of effect – objectively assessed – Site is appropriate for wind farm – Mitigation quanta objectively calculated & scaled appropriately – No net loss – targets defined – Agreed draft consent conditions

Facilitates a successful consent application

Golder New Zealand Take home messages

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Quantitative studies provide more certainty in the RMA process = reduces project risk



Where avian issues are significant consider CRM



Use probabilistic models accounting for variation



Consider using a statistician



Involve stakeholders early and keep interacting

Thank You! Dr. Laurence Barea Senior Ecologist Golder Associates Ltd The Homestead AgResearch Campus East Street PO Box 19479 Hamilton, 3244 TEL +64 7 8592356 MOB + 64 021 956 395 NEW ZEALAND: tel +64 9 486 8068 fax. +64 9 486 8072 www.golder.co.nz