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

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& any([(x-1),(y+1)]~=[prev(1,1),prev(1,2)]);temp2=((highest_value-(data((x-1),(y+1))))/(sqrt( 200)));if temp2>temp1;temp1=temp2;next(1,1)=(x-1);next(1,2)=(y+1);cell_height=(highest_value-data((x-1),(y+1)));done=1;endendif data((x-1),(y))>0 & data((x-1),(y))temp1;temp1=temp2;next(1,1)=(x-1);next(1,2)=(y);cell_height=(highest_value-data((x-1),(y)));done=1;endendif done==1%if any of the above if-statements are true ->prev(1,1)=x;prev(1,2)=y;%gives the array "prev" the coordinates of current cell.height=height+cell_height;%the current height difference is added to the accumulated%height difference in the variable "height".height_value(m,1)= x;height_value(m,2)=y;%the current coordinates are saved in the matrix "height_value"%at row "m".x=next(1,1);y=next(1,2);%gives "x" & "y" the coordinates of the next cell to go to.elsebreak%if none of the above if-statemnets are true, the loop will end%and continue at the cell next in order.80
endendif height>=20;%if the accumulated height difference is greater/equal to 20 meters->for n=1:10;%loop from 1 to ten.output((height_value(n,1)),(height_value(n,2)))=1;%gives the matrix "output" a value of one at the coordinates%corresponding to the coordinates in the matrix "height_value".endendendclear('data');%clears the variable "data" from the virtual memory, in order to free space%to transpose "output".potential_cells = sum(output(:)>0)%prints the number of potential cells.fout=fopen('output.flt','w');%opens/creates the file "output.flt" to write intofwrite(fout,output','float32');%writes the matrix "output" into "output.flt"fclose(fout);%closes the fileexecution_time2=etime(clock,time2)%stop clock 2%finishedexecution_time3=etime(clock,time3)81
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Seminar series nr 121Finding Potent
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AbstractOver 2 billion people, most
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AcknowledgmentsFirst of all, we wou
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5 Result ..........................
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For the specific case of Uganda, a
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2 Study AreaThe main reason for us
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In the 1960’s Uganda was one of t
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2.1.3 TopographyMost of Uganda is s
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Figure 2.4 The highest volcano in K
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e able to manually write the data,
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Depending on the appearance of the
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o Then the water flows from the for
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and generator is 65% and 80% effici
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Table 3.2 Capacity and production o
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Table 3.5 Small-scale hydropower ca
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technology was supplied to an area
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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
Page 62 and 63: The first step when performing the
Page 64 and 65: more obvious in their geographic co
Page 66 and 67: By using a smaller area it is possi
Page 68 and 69: 5.3 Summary of Resultso The general
Page 70 and 71: projects are supposed to be finance
Page 72 and 73: Sinks are a reoccurring problem whe
Page 74 and 75: UTM Zone 36N projection. The study
Page 76 and 77: As described in chapter 3.3.3 all r
Page 78 and 79: and if good financing possibilities
Page 80 and 81: Hutchinson M. F., Dowling T. I., 19
Page 83 and 84: 9 Appendix9.1 Interview: Rural Elec
Page 85 and 86: 9.3 Digital DataAll data layers are
Page 87 and 88: Frame creationThis is made in order
Page 89 and 90: time2=clock;%starts timer on clock
Page 91: next(1,2)=(y-1);cell_height=(highes
Page 95: Site 16 (147486,78619)Site 20 (1560
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