Gis project final_presentation

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Gis project final_presentation

  1. 1. Comparative analysis of solar energypotential in Kenya and PakistanOLOO FrancisRomana BasirGIS Project WS 2012/2013Masters in Applied GeoinformaticsUniversity of Salzburg1GIS Project WS 2012/2013
  2. 2. 2GIS Project WS 2012/2013Project objectivesUse multi-criteria evaluation to map solar energy potential inKenya and Pakistan; specifically• To map the main driving factors for solar energy generation inKenya and Pakistan• Reclassify the factors based on their relative influence topotential of solar energy• Combine the factors in order to map the potential of solarenergy in both countries
  3. 3. 3GIS Project WS 2012/2013Area of Study : Kenya
  4. 4. 4GIS Project WS 2012/2013Area of Study : Pakistan
  5. 5. 5GIS Project WS 2012/2013DataData Data source RemarksKenya administrativeboundaryInternational Livestock Research Institute (ILRI) GISdatabasewww.ilri.org/GISNational boundaries as per 1992 Surveyof Kenya recordsKenya elevation CGIAR-Shuttle Topographic Mission (SRTM) 90m resolutionKenya road networks ILRI GIS databasewww.ilri.org/GISWith classes A to E of the roads in KenyaKenya towns Inter-Governmental Authority on Developmentwww.igad-data.orgInclude GPS coordinates of all marketcentersKenya land use Food and Agriculture Organization (FAO)http://www.fao.org/geonetwork/srv/en/main.homeProduced by FAO classification schemeNOAA AVHRR data NOAA Comprehensive Large Array-data stewardship System(CLASS)www.class.ncdc.noaa.govFor the periods June - August (2009-2011) for both countriesPakistan land cover DIVA GIS Free spatial datawww.diva-gis.org/gdataThe original format was diva grid formatProtected areas World database on protected areashttp://protectedplanet.net/Including national reserves and nationalparksPakistan road network DIVA-GIS Free spatial datawww.diva-gis.org/gdataPakistan Places/Towns Mapcruzin.comhttp://mapcruzin.blogspot.co.atLayer consisting of cities, suburbs andtownsPakistan elevation DIVA GIS Free spatial datawww.diva-gis.org/gdata90m spatial resolution
  6. 6. 6GIS Project WS 2012/2013Methodology
  7. 7. 7GIS Project WS 2012/2013Data Preparation
  8. 8. 8GIS Project WS 2012/2013Data Preparation: Global radiation
  9. 9. 9GIS Project WS 2012/2013Data Preparation: Global radiation
  10. 10. 10GIS Project WS 2012/2013Data Preparation: Cloud cover
  11. 11. 11GIS Project WS 2012/2013Data Preparation: Cloud cover
  12. 12. 12GIS Project WS 2012/2013Data Preparation: Accessibility
  13. 13. 13GIS Project WS 2012/2013Data Preparation: Accessibility
  14. 14. 14GIS Project WS 2012/2013Data Preparation: Land cover
  15. 15. 15GIS Project WS 2012/2013Data Preparation: Land cover
  16. 16. 16GIS Project WS 2012/2013Reclassification
  17. 17. 17GIS Project WS 2012/2013Reclassification: Global radiation
  18. 18. 18GIS Project WS 2012/2013Reclassification: Cloud cover
  19. 19. 19GIS Project WS 2012/2013Reclassification: Accessibility
  20. 20. 20GIS Project WS 2012/2013Reclassification: Land cover
  21. 21. 21GIS Project WS 2012/2013Weighted overlay
  22. 22. 22GIS Project WS 2012/2013Map algebra: Subtraction
  23. 23. 23GIS Project WS 2012/2013Results
  24. 24. 24GIS Project WS 2012/2013Results
  25. 25. 25GIS Project WS 2012/2013ResultsLaikipia Narok NakuruNyandaruaKajiadoUasinGishuTrans-NzoiaNyeri Kiambu SamburuVery High 5613.44 4700.42 3535.14 2175.8 1881.14 1835.05 1732.77 1409.53 1374.92 1308.810100020003000400050006000Area(sq.km)Top 10 counties in Kenya with large areas (km 2)of very high potential land surfaces
  26. 26. 26GIS Project WS 2012/2013ResultsTop 10 divisions with large areas (km 2)of high potential land surfacesKalat Quetta Zhob Makran Sibi F.A.T.A.Dera GhaziKhanNorthernAreasNasirabad HyderabadHigh 74942.45 59265.16 36529.67 23219.44 18616.79 9269.7 8138.36 6795.7 6748.73 5921.5201000020000300004000050000600007000080000Area(sq.km)
  27. 27. 27GIS Project WS 2012/2013Discussion• Due to the nature of terrain in Kenya approximately 72% ofland received more than 1950kwh/m2 solar radiation for theduration of analysis, in Pakistan 50% of the land receivedmore than 1600kwh/m2 solar radiation• Due to the heavy clouds and snow in Himalayan ranges, thisinhibits the potential in Pakistan , only high potential areaswere mapped while in Kenya an extra class with very highpotential was mapped
  28. 28. 28GIS Project WS 2012/2013Project work planOctober November December JanuaryTask2-Oct9-Oct16-Oct23-Oct30-Oct6-Nov13-Nov20-Nov27-Nov4-Dec11-Dec18-Dec25-Dec1-Jan8-Jan15-Jan22-Jan29-JanComing up with the topicPresentation of the topicData collection (Putting the datatogether)Preparation of solar radiation dataand cloud cover analysisLiterature review for solar radiationpotentialIndividual layer preparationCombining the layers to create asolr energy potential mapAdding other anxiliary dataZonal statistics for different smalleradministrative unitsSpatial AnalysisCartography and visualizatiomCompiling all the project dataPreparation for presentationPoster designFinal presentationReport compilationHanding in the final report
  29. 29. 29GIS Project WS 2012/2013References• Etier, I., Al, A. & Ababne, M., 2010. Analysis of Solar Radiationin Jordan. , 4(6), pp.733–738.• Fu, P. & Rich, P.M., 2000. The solar analyst 1.0 manual. HeliosEnvironmental Modeling Institute (HEMI), USA.• Ramachandra, T. V, 2007. Solar energy potential assessmentusing GIS. , 18(2), pp.101–114.
  30. 30. 30GIS Project WS 2012/2013Thank you-:-Comments?

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