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GIS-Based Land Use Simulation
for
Biomass Energy Production
By
Olusegun Osifuye
GIS-Based Land Use Simulation
for
Biomass Energy Production
By
Olusegun Osifuye
INTRODUCTION OBJECTIVES METHODOLOGY ANALYSES PROJECTIONS
INTRODUCTION
GIS-Based Land Use Simulation for Biomass Energy Production 3
ARABLE LAND
• Alternate sources of energy
• Biomass for Bio-energy
• “Food or Fuel” debate
• Effect on biodiversity
• Silage Maize feedstock
INTRODUCTION
GIS-Based Land Use Simulation for Biomass Energy Production 4
• Alternate sources of energy
• Biomass for Bio-energy
• “Food or Fuel” debate
• Effect on biodiversity
• Silage Maize feedstock
INTRODUCTION
GIS-Based Land Use Simulation for Biomass Energy Production 5
Hochschule für Technik Stuttgart
OR
• Alternate sources of energy
• Biomass for Bio-energy
• “Food or Fuel” debate
• Effect on biodiversity
• Silage Maize feedstock
INTRODUCTION
GIS-Based Land Use Simulation for Biomass Energy Production 6
Biogas Power Plant
Source: Martina Nolte (http://www.manderfeld-entsorgung-agrar.de/duengemittel/html)
Source: http://oklahomafarmreport.com/wire/news/2011/09/02270_FSABiomassProg09152011_092754.php
•The role of biogas power
plants
•Silage maize as biogas plant
feedstock
INTRODUCTION
GIS-Based Land Use Simulation for Biomass Energy Production 7
How does a biogas
plant work?
Source: http://www.weltec-biopower.com/How-does-a-biogas-plant-work.1080.0.html
INPUT FEEDSTOCK
OBJECTIVES
GIS-Based Land Use Simulation for Biomass Energy Production 8
• To develop a model that calculates the silage maize hectares
in the study area (also applicable to any region) based on a set
of assumptions.
• To quantify the effect of silage maize cultivation on bio-energy
production for the study area.
• To predict and visualize different land use scenarios based on
Several Factors .
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 9
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
FLOW CHART
‘Estimated Total Silage Maize’ Map
‘Silage Maize Area’ Map
Availability
Map
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 10
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
‘Silage Maize Area’ Map
FLOW CHART
‘Estimated Total Silage Maize’ Map
Availability
Map
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 11
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
FLOW CHART
‘Silage Maize Area’ Map
‘Estimated Total Silage Maize’ Map
Availability
Map
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 12
Model Design
Using the Model Builder
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 13
STUDY AREA
Schwarzwald-Baar Kreis
•One of 44 counties (Kreis)
•2012 Population 204585
•Total Area of 102526 hectares
•As at 2012 41 Biogas power plants
METHODOLOGY
GIS-Based Land Use Simulation for Biomass Energy Production 14
ArcGIS 10.1 Software
Statistical Administrative Data :
•Statistical Office of Baden-Württemberg
(Statistisches Landesamt Baden-Württemberg)
•State Institute for Development of Agriculture and rural areas
[Landesanstalt für Entwicklung der Landwirtschaft und der ländlichen Räume (LEL)]
SOFTWARE / DATA SOURCES
Base Maps
•District Office of the Schwarzwald-Baar-Kreis
(Landratsamt Schwarzwald-Baar-Kreis).
CORINE Land Use Data from European Environmental Agency
European Soil Database
Several Datasets from:
http://eusoils.jrc.ec.europa.eu/library/data/_Datarequest/ESDB_RasterLibrary.html
25m Raster Digital Elevation Model
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 15
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
FLOW CHART
‘Silage Maize Area’ Map
‘Estimated Total Silage Maize’ Map
Availability
Map
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 16
Terrain
Elevation
Slope
Soil
PH
Stone Volume
SUITABILITY FACTORS
5.0 ≤ pH ≤ 8.5
Soil without Stones
< 750 m
Low Slope (< 20% )
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 17
Reclassification
CLASS SUITABILITY
1 LEAST SUITABLE
2 .
3 .
4 .
5 MOST SUITABLE
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 18
pH
Stone Volume
Elevation
Slope
Soil
Characteristics
Terrain
Characteristics
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 19
Silage Maize Suitability Map
•Suitability grouped from least
suitable to most suitable.
•Identifies area with best
suitability based on natural
conditions.
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 20
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Land Use
Map
Biogas Power
Plant Buffer
FLOW CHART
‘Silage Maize Area’ Map
‘Estimated Total Silage Maize’ Map
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 21
Available Area
Which Land Area is Available?
Forests 46956 hectares
Agricultural land 42650 hectares
Settlement 11790 hectares
Water body 615 hectares
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 22
Available Area
Which Land Area is Available?
Agricultural land 42650 hectares
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 23
Available Area
Ban on Pastures from December 2011 till December 2015
Agricultural land 42650 hectares
Pasture about 27000 ha
Other Uses about 15650 ha
Agricultural land 42650 hectares
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 24
Agricultural Areas (No Pasture)
Ban on Pastures from December 2011 till December 2015
Other Uses 15650
GIS-Based Land Use Simulation for Biomass Energy Production 25
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
FLOW CHART
ANALYSES
‘Silage Maize Area’ Map
‘Estimated Total Silage Maize’ Map
Availability
Map
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 26
Available and Suitable
Silage Maize Area
• 11134 hectares
• Represents silage maize
agricultural areas both suitable
and available
Silage Maize Area
Municipality Boundary
GIS-Based Land Use Simulation for Biomass Energy Production 27
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
Biogas Power
Plant Buffer
FLOW CHART
ANALYSES
‘Silage Maize Area’ Map
‘Estimated Total Silage Maize’ Map
Availability
Map
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 28
32 Biogas Power Plant Locations
• 32 biogas plants
• Effect on the derived suitable and
available silage maize area
Silage Maize Area
Municipality Boundary
Biogas Power Plant
GIS-Based Land Use Simulation for Biomass Energy Production 29
Biogas Plant Buffer
ANALYSES
•1.6 km Buffer around all 32
biogas power plants.
•Dissolved buffer is intersected
with suitability map
GIS-Based Land Use Simulation for Biomass Energy Production 30
Terrain
Elevation
Slope
Soil
PH
Stone Volume
Suitability
Map
‘Silage Maize Area’ Map
Biogas Power
Plant Buffer
FLOW CHART
ANALYSES
‘Estimated Total Silage Maize’ Map
Availability
Map
GIS-Based Land Use Simulation for Biomass Energy Production 31
Ecological Total Silage Maize
(ETSM)
5524 Hectares
What does this value mean?
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 32
Estimated Total Silage Maize
for Biogas Power Plants
Not All Silage Maize used as Feedstock for Biogas Power Plants
A portion used as Cattle Feed
ETSM (ha) – ESMC (ha) = ESMBP (ha)
5524 – ? = ESMBP (ha)
ETSM : ESTIMATED TOTAL SILAGE MAIZE
ESMC : ESTIMATED SILAGE MAIZE CATTLE
ESMBP : ESTIMATED SILAGE MAIZE for BIOGAS POWER PLANTS
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 33
ETSM (ha) – ESMC (ha) = ESMBP (ha)
5524 – 1829 = 3695
Estimated Total Silage Maize
for Biogas Power Plants
Calculating the ESMC
Using an average of 480.8 dry tons/hectare
ESMC = 1829
Silage Maize Hectare as source of feedstock for Biogas Power Plants is 3695
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 34
Silage Maize Hectares
For Bioenergy Production
Using 2010 Statistical data from :
Statistical Office of Baden-Württemberg
(Statistisches Landesamt Baden-Württemberg)
State Institute for Development of Agriculture and rural areas [Landesanstalt für
Entwicklung der Landwirtschaft und der ländlichen Räume (LEL)]
1 Kilowatt = ? Hectares
Year Installed Capacity (KW) Total Number of Silage Maize Hectares
2010 9140 2629
1 Kilowatt = 0.2 Hectares
ANALYSES
GIS-Based Land Use Simulation for Biomass Energy Production 35
Silage Maize Land Use
Simulation
Energy Demand
20000KW
Energy
Output
Demand
(Kilowatt)
Silage Maize
Area
(Hectare)
Silage
Maize %
of TAA
Biogas
Plant
Average
Yield
(Kilowatt)
Required
Biogas
Power
Plants
20000 4000 8.3 200 100
240 83
300 63
PROJECTIONS
GIS-Based Land Use Simulation for Biomass Energy Production 36
Silage Maize Land Use
Simulation
Energy Demand
15000KW
Energy
Output
Demand
(Kilowatt)
Silage Maize
Area
(Hectare)
Silage
Maize %
of TAA
Biogas
Plant
Average
Yield
(Kilowatt)
Required
Biogas
Power
Plants
15000 3000 6.2 200 75
240 63
300 50
PROJECTIONS
PROJECTIONS
GIS-Based Land Use Simulation for Biomass Energy Production 37
Silage Maize Land Use
Simulation
Energy Demand
10000KW
Energy
Output
Demand
(Kilowatt)
Silage Maize
Area
(Hectare)
Silage
Maize %
of TAA
Biogas
Plant
Average
Yield
(Kilowatt)
Required
Biogas
Power
Plants
10000 2000 4.1 200 50
240 41
300 33
GIS-Based Land Use Simulation for Biomass Energy Production 38
Silage Maize Land Use
Simulation
Energy Demand
2500KW
Energy
Output
Demand
(Kilowatt)
Silage Maize
Area
(Hectare)
Silage
Maize %
of TAA
Biogas
Plant
Average
Yield
(Kilowatt)
Required
Biogas
Power
Plants
2500 500 1 200 12
240 10
300 8
PROJECTIONS
PROJECTIONS
GIS-Based Land Use Simulation for Biomass Energy Production 39
Projections
•Model applicable to any given region
•Useful to stakeholders on both side of “Food or Fuel” debate
•Aid in decision making
LIMITATIONS
•Estimate figures used
•Not all the biogas power plants used in analyses
GIS-Based Land Use Simulation for Biomass Energy Production 40
THANK YOU

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GIS-Based Land Use Simulation for Biomass Energy Production

  • 1. GIS-Based Land Use Simulation for Biomass Energy Production By Olusegun Osifuye
  • 2. GIS-Based Land Use Simulation for Biomass Energy Production By Olusegun Osifuye INTRODUCTION OBJECTIVES METHODOLOGY ANALYSES PROJECTIONS
  • 3. INTRODUCTION GIS-Based Land Use Simulation for Biomass Energy Production 3 ARABLE LAND • Alternate sources of energy • Biomass for Bio-energy • “Food or Fuel” debate • Effect on biodiversity • Silage Maize feedstock
  • 4. INTRODUCTION GIS-Based Land Use Simulation for Biomass Energy Production 4 • Alternate sources of energy • Biomass for Bio-energy • “Food or Fuel” debate • Effect on biodiversity • Silage Maize feedstock
  • 5. INTRODUCTION GIS-Based Land Use Simulation for Biomass Energy Production 5 Hochschule für Technik Stuttgart OR • Alternate sources of energy • Biomass for Bio-energy • “Food or Fuel” debate • Effect on biodiversity • Silage Maize feedstock
  • 6. INTRODUCTION GIS-Based Land Use Simulation for Biomass Energy Production 6 Biogas Power Plant Source: Martina Nolte (http://www.manderfeld-entsorgung-agrar.de/duengemittel/html) Source: http://oklahomafarmreport.com/wire/news/2011/09/02270_FSABiomassProg09152011_092754.php •The role of biogas power plants •Silage maize as biogas plant feedstock
  • 7. INTRODUCTION GIS-Based Land Use Simulation for Biomass Energy Production 7 How does a biogas plant work? Source: http://www.weltec-biopower.com/How-does-a-biogas-plant-work.1080.0.html INPUT FEEDSTOCK
  • 8. OBJECTIVES GIS-Based Land Use Simulation for Biomass Energy Production 8 • To develop a model that calculates the silage maize hectares in the study area (also applicable to any region) based on a set of assumptions. • To quantify the effect of silage maize cultivation on bio-energy production for the study area. • To predict and visualize different land use scenarios based on Several Factors .
  • 9. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 9 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer FLOW CHART ‘Estimated Total Silage Maize’ Map ‘Silage Maize Area’ Map Availability Map
  • 10. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 10 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer ‘Silage Maize Area’ Map FLOW CHART ‘Estimated Total Silage Maize’ Map Availability Map
  • 11. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 11 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer FLOW CHART ‘Silage Maize Area’ Map ‘Estimated Total Silage Maize’ Map Availability Map
  • 12. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 12 Model Design Using the Model Builder
  • 13. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 13 STUDY AREA Schwarzwald-Baar Kreis •One of 44 counties (Kreis) •2012 Population 204585 •Total Area of 102526 hectares •As at 2012 41 Biogas power plants
  • 14. METHODOLOGY GIS-Based Land Use Simulation for Biomass Energy Production 14 ArcGIS 10.1 Software Statistical Administrative Data : •Statistical Office of Baden-Württemberg (Statistisches Landesamt Baden-Württemberg) •State Institute for Development of Agriculture and rural areas [Landesanstalt für Entwicklung der Landwirtschaft und der ländlichen Räume (LEL)] SOFTWARE / DATA SOURCES Base Maps •District Office of the Schwarzwald-Baar-Kreis (Landratsamt Schwarzwald-Baar-Kreis). CORINE Land Use Data from European Environmental Agency European Soil Database Several Datasets from: http://eusoils.jrc.ec.europa.eu/library/data/_Datarequest/ESDB_RasterLibrary.html 25m Raster Digital Elevation Model
  • 15. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 15 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer FLOW CHART ‘Silage Maize Area’ Map ‘Estimated Total Silage Maize’ Map Availability Map
  • 16. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 16 Terrain Elevation Slope Soil PH Stone Volume SUITABILITY FACTORS 5.0 ≤ pH ≤ 8.5 Soil without Stones < 750 m Low Slope (< 20% )
  • 17. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 17 Reclassification CLASS SUITABILITY 1 LEAST SUITABLE 2 . 3 . 4 . 5 MOST SUITABLE
  • 18. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 18 pH Stone Volume Elevation Slope Soil Characteristics Terrain Characteristics
  • 19. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 19 Silage Maize Suitability Map •Suitability grouped from least suitable to most suitable. •Identifies area with best suitability based on natural conditions.
  • 20. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 20 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Land Use Map Biogas Power Plant Buffer FLOW CHART ‘Silage Maize Area’ Map ‘Estimated Total Silage Maize’ Map
  • 21. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 21 Available Area Which Land Area is Available? Forests 46956 hectares Agricultural land 42650 hectares Settlement 11790 hectares Water body 615 hectares
  • 22. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 22 Available Area Which Land Area is Available? Agricultural land 42650 hectares
  • 23. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 23 Available Area Ban on Pastures from December 2011 till December 2015 Agricultural land 42650 hectares Pasture about 27000 ha Other Uses about 15650 ha
  • 24. Agricultural land 42650 hectares ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 24 Agricultural Areas (No Pasture) Ban on Pastures from December 2011 till December 2015 Other Uses 15650
  • 25. GIS-Based Land Use Simulation for Biomass Energy Production 25 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer FLOW CHART ANALYSES ‘Silage Maize Area’ Map ‘Estimated Total Silage Maize’ Map Availability Map
  • 26. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 26 Available and Suitable Silage Maize Area • 11134 hectares • Represents silage maize agricultural areas both suitable and available Silage Maize Area Municipality Boundary
  • 27. GIS-Based Land Use Simulation for Biomass Energy Production 27 Terrain Elevation Slope Soil PH Stone Volume Suitability Map Biogas Power Plant Buffer FLOW CHART ANALYSES ‘Silage Maize Area’ Map ‘Estimated Total Silage Maize’ Map Availability Map
  • 28. ANALYSES GIS-Based Land Use Simulation for Biomass Energy Production 28 32 Biogas Power Plant Locations • 32 biogas plants • Effect on the derived suitable and available silage maize area Silage Maize Area Municipality Boundary Biogas Power Plant
  • 29. GIS-Based Land Use Simulation for Biomass Energy Production 29 Biogas Plant Buffer ANALYSES •1.6 km Buffer around all 32 biogas power plants. •Dissolved buffer is intersected with suitability map
  • 30. GIS-Based Land Use Simulation for Biomass Energy Production 30 Terrain Elevation Slope Soil PH Stone Volume Suitability Map ‘Silage Maize Area’ Map Biogas Power Plant Buffer FLOW CHART ANALYSES ‘Estimated Total Silage Maize’ Map Availability Map
  • 31. GIS-Based Land Use Simulation for Biomass Energy Production 31 Ecological Total Silage Maize (ETSM) 5524 Hectares What does this value mean? ANALYSES
  • 32. GIS-Based Land Use Simulation for Biomass Energy Production 32 Estimated Total Silage Maize for Biogas Power Plants Not All Silage Maize used as Feedstock for Biogas Power Plants A portion used as Cattle Feed ETSM (ha) – ESMC (ha) = ESMBP (ha) 5524 – ? = ESMBP (ha) ETSM : ESTIMATED TOTAL SILAGE MAIZE ESMC : ESTIMATED SILAGE MAIZE CATTLE ESMBP : ESTIMATED SILAGE MAIZE for BIOGAS POWER PLANTS ANALYSES
  • 33. GIS-Based Land Use Simulation for Biomass Energy Production 33 ETSM (ha) – ESMC (ha) = ESMBP (ha) 5524 – 1829 = 3695 Estimated Total Silage Maize for Biogas Power Plants Calculating the ESMC Using an average of 480.8 dry tons/hectare ESMC = 1829 Silage Maize Hectare as source of feedstock for Biogas Power Plants is 3695 ANALYSES
  • 34. GIS-Based Land Use Simulation for Biomass Energy Production 34 Silage Maize Hectares For Bioenergy Production Using 2010 Statistical data from : Statistical Office of Baden-Württemberg (Statistisches Landesamt Baden-Württemberg) State Institute for Development of Agriculture and rural areas [Landesanstalt für Entwicklung der Landwirtschaft und der ländlichen Räume (LEL)] 1 Kilowatt = ? Hectares Year Installed Capacity (KW) Total Number of Silage Maize Hectares 2010 9140 2629 1 Kilowatt = 0.2 Hectares ANALYSES
  • 35. GIS-Based Land Use Simulation for Biomass Energy Production 35 Silage Maize Land Use Simulation Energy Demand 20000KW Energy Output Demand (Kilowatt) Silage Maize Area (Hectare) Silage Maize % of TAA Biogas Plant Average Yield (Kilowatt) Required Biogas Power Plants 20000 4000 8.3 200 100 240 83 300 63 PROJECTIONS
  • 36. GIS-Based Land Use Simulation for Biomass Energy Production 36 Silage Maize Land Use Simulation Energy Demand 15000KW Energy Output Demand (Kilowatt) Silage Maize Area (Hectare) Silage Maize % of TAA Biogas Plant Average Yield (Kilowatt) Required Biogas Power Plants 15000 3000 6.2 200 75 240 63 300 50 PROJECTIONS
  • 37. PROJECTIONS GIS-Based Land Use Simulation for Biomass Energy Production 37 Silage Maize Land Use Simulation Energy Demand 10000KW Energy Output Demand (Kilowatt) Silage Maize Area (Hectare) Silage Maize % of TAA Biogas Plant Average Yield (Kilowatt) Required Biogas Power Plants 10000 2000 4.1 200 50 240 41 300 33
  • 38. GIS-Based Land Use Simulation for Biomass Energy Production 38 Silage Maize Land Use Simulation Energy Demand 2500KW Energy Output Demand (Kilowatt) Silage Maize Area (Hectare) Silage Maize % of TAA Biogas Plant Average Yield (Kilowatt) Required Biogas Power Plants 2500 500 1 200 12 240 10 300 8 PROJECTIONS
  • 39. PROJECTIONS GIS-Based Land Use Simulation for Biomass Energy Production 39 Projections •Model applicable to any given region •Useful to stakeholders on both side of “Food or Fuel” debate •Aid in decision making LIMITATIONS •Estimate figures used •Not all the biogas power plants used in analyses
  • 40. GIS-Based Land Use Simulation for Biomass Energy Production 40 THANK YOU