Finding Potential Sites for Small-Scale Hydro Power in Uganda: a ...

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5 Result ...................................................................................................................475.1 Interviews .......................................................................................................................... 475.2 GIS Analysis...................................................................................................................... 495.2.1 Interpolation.............................................................................................................. 495.2.2 Algorithm................................................................................................................... 515.2.3 Visualization.............................................................................................................. 525.2.4 Evaluation of Potential Sites................................................................................... 545.3 Summary of Results ......................................................................................................... 566 Discussion............................................................................................................576.1 Interviews .......................................................................................................................... 576.2 Interpolation ..................................................................................................................... 586.3 Algorithm .......................................................................................................................... 606.4 Post processing................................................................................................................. 616.5 Evaluation of Potential Sites .......................................................................................... 616.6 Lesson Learned................................................................................................................. 636.7 End Discussion ................................................................................................................ 637 Conclusions..........................................................................................................658 References............................................................................................................679 Appendix ..............................................................................................................719.1 Interview: Rural Electrification Agency........................................................................ 719.2 Interviews: Rural Population in the Study Area .......................................................... 729.3 Digital Data....................................................................................................................... 739.4 Algorithm Syntax.............................................................................................................. 749.5 Evaluated Sites.................................................................................................................. 82viii
1 IntroductionThis master thesis has been performed during the autumn of 2004, as a Minor FieldStudy (MFS) funded by a scholarship granted through Swedish InternationalDevelopment Co-operation Agency (Sida). The MFS Scholarship Programme is intendedto give Swedish students the possibility to increase their knowledge about developingcountries and development issues. It is also supposed to give the students, teachers anddepartments at Swedish universities the possibility to develop and strengthen contactswith departments, institutes and organisations in developing countries. The scholarshipsare administrated and granted through many different Universities throughout thecountry. This study was granted scholarships from both the Department of Social andEconomic Geography at Lund University and Högskolan i Kalmar.The study has been conducted by both Department of Physical Geography andEcosystem Analysis at Lund University and the Technical Faculty of MakerereUniversity, Kampala. The field study has been performed in the southwestern parts ofUganda.1.1 BackgroundMore than half of the world’s population lives in rural areas, almost 90 percent of them,approximately 3 billion, in developing countries. Out of these nearly 1.6 billion arewithout access to commercial energy (UN, 2003; WEC, 2000). This means that thesepeople are dependent on the traditional fuels of wood, dung and crop residue, oftenusing primitive and inefficient technologies. For a lot of them, this combination justabout allow them to fulfil their basic human needs of nutrition, warmth and light. Thereare small or no possibilities for them to utilize energy for productive uses, which mightbegin to permit escape from the cycle of poverty (WEC 1999).There are immense efforts done by governments and organizations throughout thedeveloping world, trying to connect people to electricity grids or to provide them withmodern biomass and other commercial energy. Between the years 1993 and 2000 asmany as 300 million people were given access to commercial energy (WEC, 2000).Despite this there are still, as mentioned above, a considerable amount of people in needof energy and according to WEC (2000) this number will increase with another 400million up to the year 2020. So there is and will continue to be a great demand afterenergy resources in the developing world.1
Page 1: Seminar series nr 121Finding Potent
Page 5: AbstractOver 2 billion people, most
Page 9: AcknowledgmentsFirst of all, we wou
Page 14 and 15: For the specific case of Uganda, a
Page 17 and 18: 2 Study AreaThe main reason for us
Page 19 and 20: In the 1960’s Uganda was one of t
Page 21 and 22: 2.1.3 TopographyMost of Uganda is s
Page 23: Figure 2.4 The highest volcano in K
Page 26 and 27: e able to manually write the data,
Page 28 and 29: Depending on the appearance of the
Page 30 and 31: o Then the water flows from the for
Page 32 and 33: and generator is 65% and 80% effici
Page 34 and 35: Table 3.2 Capacity and production o
Page 36 and 37: Table 3.5 Small-scale hydropower ca
Page 38 and 39: technology was supplied to an area
Page 40 and 41: component to all of these issues, g
Page 42 and 43: The Rural Electrification project t
Page 44 and 45: The closer the interviewer is to th
Page 46 and 47: Over this area we bought the follow
Page 48 and 49: The primary erosive force determini
Page 50 and 51: There are a set of tolerances used
Page 52 and 53: ivers are seasonal, since the hydro
Page 54 and 55: (a) (b) (c)Figure 4.8 An example sh
Page 56 and 57: 4.2.6 Post Processing of Output Dat
Page 58 and 59: A = ( b ⋅ h)2(4.3)Where A equals
Page 60 and 61: elinquish because of too expensive
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The first step when performing the
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more obvious in their geographic co
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By using a smaller area it is possi
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5.3 Summary of Resultso The general
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projects are supposed to be finance
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Sinks are a reoccurring problem whe
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UTM Zone 36N projection. The study
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As described in chapter 3.3.3 all r
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and if good financing possibilities
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Hutchinson M. F., Dowling T. I., 19
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9 Appendix9.1 Interview: Rural Elec
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9.3 Digital DataAll data layers are
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Frame creationThis is made in order
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time2=clock;%starts timer on clock
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next(1,2)=(y-1);cell_height=(highes
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endendif height>=20;%if the accumul
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Site 16 (147486,78619)Site 20 (1560
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