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Wind Farm Siting

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Derives weights by comparing the relative importance between two factors ... AHP Factor Weights Determination. Factor relative importance pairwise comparison (9 ... – PowerPoint PPT presentation

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Title: Wind Farm Siting


1
Wind Farm Siting
  • Dennis Scanlin
  • (Department of Technology)
  • Xingong Li
  • Chris Larson
  • (Department of Geography Planning)
  • Appalachian State University

2
Multi-Criteria Evaluation (MCE)
  • Evaluates a number of alternatives in the light
    of multiple criteria / factors.
  • Factor scores of the alternatives
  • Factor weights
  • Relative importance of the factors
  • Ranking scores of the alternatives
  • Weighted combination of factors

3
Analytic Hierarchy Process
  • Determines factor weights
  • Difficult to determine factor weights (numbers)
    directly
  • Derives weights by comparing the relative
    importance between two factors

4
AHP Factor Weights Determination
  • Factor relative importance pairwise comparison
    (9-point scale)
  • 1equally importance
  • 3moderately more importance
  • 5strongly more importance
  • 7very strongly more importance
  • 9extremely more importance
  • The best weights fit into the pairwise
    comparisons.

5
Spatial Analytical Hierarchy Process
  • Wind farm siting
  • Find the best wind farm sites based on siting
    factors
  • Alternatives
  • Locationinfinite
  • Divide the space into squares/cells (200m 200m)
  • Evaluate each cell based on the siting factors

6
Preliminary Siting Factors
  • Accessibility to roads
  • Distance to primary roads
  • Distance to secondary roads
  • Distance to rural roads
  • Accessibility to transmission lines
  • Distance to 100K lines
  • Distance to 250K lines
  • Distance to above250K lines
  • Wind power (or wind speed)
  • Visibility
  • Viewshed size
  • of people in viewshed

7
Siting Steps
  • Factor generation
  • Distance calculation
  • Visibility calculation
  • Factor standardization (0 100)
  • Each factor is a map layer
  • Factor weights determination by AHP
  • Final score
  • Weighted combination of factors
  • Exclusion areas

8
Factor Layers
9
Wind Turbine visibility--Viewshed
10
Wind Turbine Viewshed Size
  • Red505km2
  • Greed--805km2
  • Blue--365km2
  • Software tool developed to calculate viewshed
    size for each cell

11
Visibility FactorViewshed Size
  • Computational expensive
  • About 700,000 cells
  • Each cell requires 10 seconds
  • About 76 days
  • Parallel computing
  • 12 computers
  • Each computer runs two counties
  • About 55000 cells
  • 6 days
  • Succeed with 3000 cells but failed with 55,000
    cells

12
Visibility Factor-- of People in Viewshed
13
Final Score Layer
14
Candidate Sites
15
Exclusion Zones
16
Sites
17
Software Tools for Wind Farm Siting
18
Software Tools for Wind Farm Siting
19
Thanks!
  • Questions?

20
(No Transcript)
21
Using AHP in GIS
  • AHP is implemented as a software component
  • AHP is integrated with ArcMap GIS(ESRI, Inc.) as
    an extension
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