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V.H. ADAMU et al. |
2 |
Methodology |
The technical and financial analysis is mainly performed using the RETScreen |
software supported by extensive bibliographic review of relevant technology and |
financial information. Required technical input data are obtained through direct |
field measurements and from existing environmental and technical information |
databases online, as well as previously developed papers on the subject. Google |
Earth was also used for the topography study of the target site and to determine the |
gross head of the river with respect to the position of the hydropower turbine. It was |
fundamental to maintain close communication between the authors and interna- |
tional partners in Nigeria to obtain reliable onsite data. |
3 |
Results and Discussions |
3.1 |
Field Assessment |
The dimensioning of the hydropower plant is based on the net head and the water |
flow duration curve (Nasir 2014). These are determined specifically from the |
physiographical and hydrological analysis, respectively, of data measured for at |
least 1 year. This is usually available from databases of the government or other |
private agencies. |
Climate and geological conditions are also needed to have a comprehensive |
perspective of the location. In the absence of data, in situ measurements can be |
made as in this case; for which flow measurements were made in collaboration with |
workers at the project site. The float method was used to measure the average |
volumetric flow rate of the river (Froend 2012) as shown in Fig. 2. This measure- |
ment was made in November 2014, during the dry season in Nigeria. |
Hence, the flow rate measured can safely be taken as the firm flow available at |
95–100% of the time since flow is expected to increase during the rainy season. A |
20 m length of relatively uniform stretch of the river was marked with three points: |
start, middle and end points. A float was made to travel between the two extreme |
points, and the travel time was measured in order to determine the surface velocity |
(Vsurface). To estimate the average cross-sectional area (Aave) of the river, the depth |
was measured at sections 0.5 m apart along the width of the river at the points |
marked as shown in Fig. 3. |
The results of the measurement and the data used for the calculations are shown |
in Table 1. |
From this method, Aave and Vsurface were determined to be 2.81 m2 and 0.62 m/s, |
respectively, and used in Eq. (1): |
Q ¼ Aave Vsurface Correction factor |
ð1Þ |
Technical-Economic Prefeasibility Assessment of an Off-Grid Mini-hydropower. . . |
1195 |
Fig. 2 Flow measurement by float method (Joy et al. 2005) |
Fig. 3 Cross-sectional area measurement (Reckhow et al. 2010) |
Table 1 River flow measurement results |
Point |
Start |
Mid |
End |
Width (m) |
4.0 |
3.9 |
4.6 |
Depth across stream width (m) |
y1 |
0.58 |
0.63 |
0.25 |
y2 |
0.67 |
0.68 |
0.25 |
y3 |
0.74 |
0.74 |
0.50 |
y4 |
0.80 |
0.72 |
0.63 |
y5 |
0.83 |
0.62 |
0.59 |
y6 |
0.83 |
0.48 |
0.45 |
y7 |
0.55 |
0.76 |
0.50 |
y8 |
0.76 |
0.34 |
0.23 |
Time of travel (s) |
Track 1 |
33.10 |
Track 2 |
30.98 |
Track 3 |
32.15 |
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V.H. ADAMU et al. |
The cross-sectional area was calculated as shown in Fig. 4 above using measured |
data from the field. |
Subsequently, the average flow (Q) of the river has been calculated as 1.2 m3 /s. |
The correction factor of 0.85 was used based on the characteristics of the river |
Subsets and Splits