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International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 10
Determination of design discharge and
environmental flow in micro hydropower plants
based on flow duration curve in small rivers:
A Case Study of Hhaynu River -
Mbulu,Tanzania
Daniel H. Ngoma1)
, Dr. Yaodong Wang2)
, Professor Tony Roskilly3)
1) Research Student, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire
Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom
2) Senior Lecturer, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire
Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom
3) Professor, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire Building,
Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom
Correspondence to: D. H. Ngoma (todngoma@yahoo.com)
Abstract: In designing micro hydropower plants capacity, the amount of water flow discharge determination is very essential in
estimating the power output for the micro hydropower scheme due to the fact that in recent years there has been an increase in water
demand due irrigation activities because of an increase in agriculture activities [1]. From the literature, there are several methods that
are used to determine hydro turbine water flow discharge but the most widely used method is the hydrological method which is based on
the formulation of flow duration curve or hydrograph for the respective river flow based on site historical and measured hydrological
data.
The hydrograph represents the amount of water flow in m3
/s that is available for a particular river or stream in percentage from the
historical hydrological data which has been computed over a period of more than one year. From the study of Hhaynu River which is a
small river in Tanzania, the computed flow results show that, 8% of the time the flow is at 2.3 m3
/s while at 50% of the time the river
flow was at 1.86 m3
/s and at 100% of the time the water flow was at 0.60 m3
/s. When determining design discharge for run-of-river
schemes, provision have to be considered for environmental flow on which for the Hhaynu River this has been analysed to be 0.2 m3
/s
(33.3% of river base flow) which resulted to the hydro-turbine development design water flow discharge of 0.4 m3
/s from the computed
flow duration curve with provision for environmental flow.
The usefulness of developing flow duration curve for rivers is to determine the available water flow in a particular small river and its
suitability for micro hydropower development from estimates of the amount of water flow discharge.
Index Terms: Flow duration curve, River flow velocity, Discharge, Hydrograph, Time exceeded, Hhaynu, Mbulu
Note: The authors declare that there is no conflict of interest regarding the publication of this paper.
Figure 1.0: Location of the Hhaynu River – Mbulu, Tanzania
International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 11
1. INTRODUCTION
1.1 Water availability
In today’s trend, human activities which include
agriculture, irrigation, deforestation, land use changes and
increased water supply have impacted fresh water
ecosystems through excessive usage of water from rivers
and especially small rivers like Hhaynu [2]. Large
population of people have been affected by water shortages
in recent years due to climate change [3] and also lack of
field data that highlights and analyse the problem. In this
study I have analyse the water availability from a small
river in Tanzania, called Hhaynu by using Hydrological
method [4].
Based on the field study, total of 8,280 stage data were
analysed from January 1985 to December 2007. These are
the latest data available from this river. Based on
measurement of discharge conducted during field work on
June/July 2016, the stage of 50.25cm corresponds to a
discharge of 0.90m3
/s. The site measurement was during the
dry season and is close to the mean flow rate Qmean(0.95
m3
/s) computed from the historical data and is typically in a
range between Q30% and Q40% on the FDC for small rivers
and streams and based on the used site data the value of
Qmean is around Q39.3% which is typically for small rivers [5].
Table 1.1: Computed percentage of exceedance with river
flow
% Time
Exceeded
Flow rate
[m3
/s]
8 2.3
17 1.59
25 1.22
33 1.02
42 0.92
50 0.86
58 0.79
67 0.74
75 0.69
83 0.65
92 0.62
100 0.60
The computed values of Table 1.1 above can be calculated
in standard format of percentage from 10% to 100% and
represented in discharge value (Q) as shown on Table 1.2
below;
II. METHOD
2.1 Materials and Methods
Flow analysis by means of Flow Duration Curve (FDC)
was conducted to deduce the duration which certain flow
magnitudes were exceeded within the period of analysis.
The analysis (see Figure 1.1 below) reveal that a flow of
approximately 0.60 m3
/s have a 100 percent of being
exceeded, while that of approximate 2.14 m3
/s have a 10
percent of being exceed, in the specified period of analysis.
Also from the analysis, a flow of approximately 0.86 m3
/s
has a 50 percent chance of being exceeded and 0.63 m3
/s
have a 90% of exceedance. The design discharge considered
values taken for this research is exceeded for >95% of the
year (Q95%) and considering the compensation flow this
value have been taken as the characteristics value for
minimum river flow [6] and this amount of river discharge
that will be available for hydropower generation throughout
the year round because there is no provision for water
storage, only a small pondage. During the field work and
site measurement in June/July 2016 the river flowrate reveal
a discharge of 0.90m3
/s which is around 44.7 % of being
exceed. See Figure 1.1 below;
Table 1.2: Standardised percentage of exceedance with river
flow
% Time
Exceeded
Flow
rate
[m3
/s]
Q10 2.14
Q20 1.45
Q30 1.10
Q40 0.94
Q50 0.86
Q60 0.78
Q70 0.72
Q75 0.69
Q80 0.67
Q90 0.63
Q95 0.61
Q100 0.60
Qmean =
Q39.3%
0.95
Figure 1.1: Flow duration for Hhaynu river (Period of
analysis is between 1985 - 2007)
From the Figure 1.1 above, the minimum flow at 10%, 50%
and 95% of the time are found to be 2.14 m3
/s, 0.86 m3
/s
and 0.61 m3
/s respectively. On the other hand, the flow at
100% of time is found to be 0.60m3
/s (0.4m3
/s when
considering compensation flow) and this is the
characteristic value for minimum river flow that could be
International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 12
available during the dry seasons. Since the discharge data
for the water availability studies in this micro hydropower
have been available for more than 10 years then its FDC
will be drawn from the river flow value >90% time of
exceeded for the system design and energy estimation [7].
The basic assumptions of the analysis are that the river flow
condition is quasi-steady to steady and the river bed at the
recording location is free from any sort of serious erosion
and siltation.
2.2 Flow duration curve with available flow for
Micro Hydropower
From the above river flow duration curve Figure 1.1 with
the historical data and take into account the compensation
flow based on the 0.2 m3/s minimum environmental flow,
the flow duration curve with the available flow for hydro
can be derived as shown on Table 1.3 below;
Table 1.3: Percentage of exceedance with available flowfor
hydropower
Percentage
of
Exceedence
(%)
Available
flow for
hydro
[m3
/s]
5 2.3
8 2.1
17 1.39
25 1.02
33 0.82
42 0.72
50 0.655
58 0.59
67 0.54
75 0.49
83 0.45
92 0.42
100 0.4
Similarly, the above values can be standardised to represent
the flowrate values from 10% to 100 % as shown on Table
1.4 below;
Table 1.4: Standardised % of exceedance with available
flow for hydro flow for hydro
Standardised
% Time
Exceeded
Flow rate
[m3
/s]
Q10 1.79
Q20 1.25
Q30 0.90
Q40 0.74
Q50 0.66
Q60 0.58
Q70 0.52
Q75 0.49
Q80 0.47
Q90 0.43
Q95 0.41
Q100 0.40
Qmean = Q42% 0.72
Figure 1.2: Available flow duration curve for hydropower
(Period of analysis is between 1985 - 2007)
From the above Figure 1.2 the available river flow for
hydropower at Q95% is found to be 0.41 m3
/s and that of the
Qmean is at Q42% which is 0.72 m3
/s. From literature and in
relation to FDC, mean flow are typically in a range between
Q30 and Q40 [4]. The Qmean value is above Q40 due the very
high base flow for the river (Q95/Qmean> 0.4). The value
taken for the base flow is 0.35 m3
/s at > Q100% as shown on
Figure 1.2 and this indicate a high base flow value for the
scheme which is characterised by most of the run-of-river
schemes [8].
2.3 River Discharge
The monthly average discharge data for Hhaynu River
was measured for a period of one year, from September
2015 to August 2016. Also, managed to obtain the historical
river flow discharge data which is the record of water flow
for the river for the past years. These data were obtained
from the local water basin authority and represent the
volumetric flow rate for the river for many years from 1985
to 2007. The values have been computed to obtain the
monthly average and compared with the site measured
discharge values. See Table 1.5 below;
International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 13
Table 1.5: Historical and Site measured flow data
Month
Site
measureme
nt river
flow
average
(Sept.2015
-
Aug.2016)
[m3
/s]
Historic
al
average
river
flow
(1985-
2007)
[m3
/s]
Design
base
flow QD
[m3/s]
Difference
in flow (Site
measured –
Historical)
[m3
/s]
January 0.84 0.89 0.35 -0.05
February 0.83 0.82 0.35 0.01
March 1.22 1.14 0.35 0.08
April 2.30 2.66 0.35 -0.36
May 1.59 1.63 0.35 -0.04
June 0.90 0.96 0.35 -0.06
July 0.74 0.76 0.35 -0.02
August 0.66 0.68 0.35 -0.02
September 0.62 0.64 0.35 -0.02
October 0.60 0.60 0.35 0
November 1.05 0.98 0.35 0.07
December 1.01 0.92 0.35 0.09
Average 1.030 1.057 0.35
Note:
The negative values are the ones below minimum flow
value and positive values are the ones above minimum flow
value.
The historical data have been used to validate the site
measured data and the general trend shows that both data
display similar patterns with high discharge in March, April
and May due to a lot of rains in the area and low discharge
in September and October due to dry weather in the area.
The historical data has a bit of high discharge values in
many months due to the fact that there were a lot of
volumetric water flow to the river in the area due to the fact
that there were less environmental degradation eg.
Deforestation, farming near the river banks, irrigation
activities, which reduce the water volume significantly.
Now days these activities are practised in the villages in
most rural areas which affect significantly the river flow
pattern due the effect on rainfall and runoff.
From the theoretical design point of view the high water
volume during the rain months could be stored in a reservoir
and used during the dry months to produce additional
energy required from the demand. But in many micro scale
schemes this idea may not be viable options due to the fact
that it requires additional facilities for the reservoir which in
turn will increase the project cost due to the acquisition of
land and compensations. The maximum value difference
between the site measured data and historical data range
between 0.36 m3
/s below the minimum value (negative) to
0.09 m3
/s above the minimum value (positive).
In this research project, the minimum flow discharge
value considered for system design is around 0.40 m3
/s
which is the discharge value that is available for both
measured data and historical data when considering
compensation flow. Thus, in this case the minimum residual
flow is around 0.20 m3
/s based on the fact that there is no
depleted reach on the river flow throughout the year as
shown on Figure 1.3 below;
Figure 1.3: Flow comparison between the measured data
and historical data
The minimum discharge amount that may be available
throughout the year for both sites in measured data and
historical data when not considering a pondage for small
water storage is around 0.6m3
/s. In consideration of the
residual flow the value of 0.4m3
/s will be used on the initial
system design as the discharge design base flow from the
river. See Figure 1.4 below for details of the annual river
hydrograph;
Figure 1.4: Annual river hydrograph
More discharge is available in the months of March,
April and May because of much rain in the area as these are
the main rain months in the year. The rain increases the
water run-off from the catchment area and hence increase
the river flow downstream. In the other months of October,
November and December there is also a small amount of
rain in the area but the quantity is not as many as in the
main rain season. The area is characterised by tropical
climate on which there is only two seasons. Rain seasons
with major rain in March, April and May and minor rain in
October, November and December with dry season in July,
August and September.
International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 14
Figure 1.5: Site measured monthly average flow
Hydrograph for hydropower development can be further
represented in detail for 90 days continuous river discharge
as shown on Figure 1.6 below;
Figure 1.6: 90 days site measured river flow
From the hydrograph and flow duration curve, it is noted
that the minimum river discharge at any given day is around
0.6 m3
/s. So, in considering residual flow, the minimum
water availability for hydropower generation from the river
is <= 0.4 m3
/s and this value is the feasible discharge that is
reliable and available throughout the years, thus why it is
taken as a design discharge for the hydropower system in
this research project.
Figure 1.7: Three months average site measured river flow
2.4 Validation of the Hydrological method and Limitations
of the study
The performance of the study using hydrological method
in calculating environmental flow was validated against the
locally calculated environmental regimes using the
efficiency coefficient R2
[9]. The validation method was
based on the maximum and minimum river flows during the
rain and dry seasons. The choice of determining the
environmental flow was limited by using hydrological
methods because of lack of detailed eco-hydrological data
on river ecosystem responses to flow alterations for most
small river basins in Tanzania
III. CONCLUSION
In determination of run-of-river flow suitable for micro
hydropower plants design discharge, provisions have to be
considered for environmental flow which is the water that
must be allowed to flow downstream on the river at the
length of the penstock. Based on the study data, the
available water flow discharge from the Hhaynu river which
is suitable for micro hydropower plant and available
throughout the year is around 0.4 m 3
/s (Q100%). From the
base flow without considering water for the hydropower,
the flow at Q100% is 0.6m3
/s on which the provision of
environmental flow accounted for is 33.3% of the original
base flow. So whenever applicable in small rivers, the
minimum provision for environmental flow may be
accounted for at least 30% [10] of the river flow in most
small rivers with similar flow pattern like Hhaynu in order
to keep ecosystem in a fair ecological condition.
REFERENCES
[1] Biemans, H., Haddeland, I., Kabat, P., Ludwig, F., Hutjes,
R., Henke, J., von Bloh, W., and Gerten, D.: Impact of
reservoirs on river discharge and irrigation water supply
during the 20th
century, Water Resour. Res., 47, W03509,
doi: 10.1029/2009WR008929, 2011
[2] Dudgeon, D.: Large-scale hydrological changes in tropical
Asia. Prospects for riverine biodiversity, Bioscience, 50,
793-806, 2000
[3] Vliet, M. H., Ludwig, F., and Kabat, P.: Global streamflow
and thermal habitats of freshwater fishes under climate
change, Climatic Change, 121, 739 – 754,
doi:10.1007/s10584-013-0976-0, 2013
[4] A. V. Pastor, F. Ludwig, H. Biemans, H. Hoff, and P. Kabat.:
Accounting for environmental flow requirement in global
water assessments. Hydrology and Earth System Sciences,
doi:10.5194/hess-18, 5041-5059, 2014
[5] UK Environment Agency. Guidance for run-of-river
hydropower. December 2013
[6] British Hydropower Association. A guide to UK Mini-Hydro
Development v3.0. October 2012. www.british-hydro.org
[7] [AHEC-IITR, “1.3 – Project hydrology and installed capacity”
Standard/manual/guideline with support from Ministry of
New and Renewable Energy, Roorkee, August 2013].
[8] Hughes, D. A.: Providing hydrological information and data
analysis tools for the determination of ecological instream
flow requirements for South African Rivers, Journal of
Hydrology, 241, 140-151, doi: 10.1016/S0022-
1694(00)00378-4, 2001
[9] Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through
conceptual models part i – a discussion of principles, Journal
of Hydrology, 10, 282-290, doi:10.1016/0022-
1694(70)90255-6, 1970
International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017
www.ijastems.org Page 15
[10] Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K.,
Shirakawa, N., Shen, Y., and Tanaka, L.: An integrated
model for the assessment of global water resources – Part 1:
Model description and input meteorological forcing,
Hydrology and Earth System Sciences, 12, 1007-1025,
doi:10.5194/hess-12-1007-2008, 2008

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Determination of design discharge and environmental flow in micro-hydropower plants based on flow duration curve in small rivers

  • 1. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 10 Determination of design discharge and environmental flow in micro hydropower plants based on flow duration curve in small rivers: A Case Study of Hhaynu River - Mbulu,Tanzania Daniel H. Ngoma1) , Dr. Yaodong Wang2) , Professor Tony Roskilly3) 1) Research Student, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom 2) Senior Lecturer, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom 3) Professor, Sir Joseph Swan Centre for Energy Research, Newcastle University, Devonshire Building, Devonshire Terrace, Newcastle upon Tyne NE1 7RU, United Kingdom Correspondence to: D. H. Ngoma (todngoma@yahoo.com) Abstract: In designing micro hydropower plants capacity, the amount of water flow discharge determination is very essential in estimating the power output for the micro hydropower scheme due to the fact that in recent years there has been an increase in water demand due irrigation activities because of an increase in agriculture activities [1]. From the literature, there are several methods that are used to determine hydro turbine water flow discharge but the most widely used method is the hydrological method which is based on the formulation of flow duration curve or hydrograph for the respective river flow based on site historical and measured hydrological data. The hydrograph represents the amount of water flow in m3 /s that is available for a particular river or stream in percentage from the historical hydrological data which has been computed over a period of more than one year. From the study of Hhaynu River which is a small river in Tanzania, the computed flow results show that, 8% of the time the flow is at 2.3 m3 /s while at 50% of the time the river flow was at 1.86 m3 /s and at 100% of the time the water flow was at 0.60 m3 /s. When determining design discharge for run-of-river schemes, provision have to be considered for environmental flow on which for the Hhaynu River this has been analysed to be 0.2 m3 /s (33.3% of river base flow) which resulted to the hydro-turbine development design water flow discharge of 0.4 m3 /s from the computed flow duration curve with provision for environmental flow. The usefulness of developing flow duration curve for rivers is to determine the available water flow in a particular small river and its suitability for micro hydropower development from estimates of the amount of water flow discharge. Index Terms: Flow duration curve, River flow velocity, Discharge, Hydrograph, Time exceeded, Hhaynu, Mbulu Note: The authors declare that there is no conflict of interest regarding the publication of this paper. Figure 1.0: Location of the Hhaynu River – Mbulu, Tanzania
  • 2. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 11 1. INTRODUCTION 1.1 Water availability In today’s trend, human activities which include agriculture, irrigation, deforestation, land use changes and increased water supply have impacted fresh water ecosystems through excessive usage of water from rivers and especially small rivers like Hhaynu [2]. Large population of people have been affected by water shortages in recent years due to climate change [3] and also lack of field data that highlights and analyse the problem. In this study I have analyse the water availability from a small river in Tanzania, called Hhaynu by using Hydrological method [4]. Based on the field study, total of 8,280 stage data were analysed from January 1985 to December 2007. These are the latest data available from this river. Based on measurement of discharge conducted during field work on June/July 2016, the stage of 50.25cm corresponds to a discharge of 0.90m3 /s. The site measurement was during the dry season and is close to the mean flow rate Qmean(0.95 m3 /s) computed from the historical data and is typically in a range between Q30% and Q40% on the FDC for small rivers and streams and based on the used site data the value of Qmean is around Q39.3% which is typically for small rivers [5]. Table 1.1: Computed percentage of exceedance with river flow % Time Exceeded Flow rate [m3 /s] 8 2.3 17 1.59 25 1.22 33 1.02 42 0.92 50 0.86 58 0.79 67 0.74 75 0.69 83 0.65 92 0.62 100 0.60 The computed values of Table 1.1 above can be calculated in standard format of percentage from 10% to 100% and represented in discharge value (Q) as shown on Table 1.2 below; II. METHOD 2.1 Materials and Methods Flow analysis by means of Flow Duration Curve (FDC) was conducted to deduce the duration which certain flow magnitudes were exceeded within the period of analysis. The analysis (see Figure 1.1 below) reveal that a flow of approximately 0.60 m3 /s have a 100 percent of being exceeded, while that of approximate 2.14 m3 /s have a 10 percent of being exceed, in the specified period of analysis. Also from the analysis, a flow of approximately 0.86 m3 /s has a 50 percent chance of being exceeded and 0.63 m3 /s have a 90% of exceedance. The design discharge considered values taken for this research is exceeded for >95% of the year (Q95%) and considering the compensation flow this value have been taken as the characteristics value for minimum river flow [6] and this amount of river discharge that will be available for hydropower generation throughout the year round because there is no provision for water storage, only a small pondage. During the field work and site measurement in June/July 2016 the river flowrate reveal a discharge of 0.90m3 /s which is around 44.7 % of being exceed. See Figure 1.1 below; Table 1.2: Standardised percentage of exceedance with river flow % Time Exceeded Flow rate [m3 /s] Q10 2.14 Q20 1.45 Q30 1.10 Q40 0.94 Q50 0.86 Q60 0.78 Q70 0.72 Q75 0.69 Q80 0.67 Q90 0.63 Q95 0.61 Q100 0.60 Qmean = Q39.3% 0.95 Figure 1.1: Flow duration for Hhaynu river (Period of analysis is between 1985 - 2007) From the Figure 1.1 above, the minimum flow at 10%, 50% and 95% of the time are found to be 2.14 m3 /s, 0.86 m3 /s and 0.61 m3 /s respectively. On the other hand, the flow at 100% of time is found to be 0.60m3 /s (0.4m3 /s when considering compensation flow) and this is the characteristic value for minimum river flow that could be
  • 3. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 12 available during the dry seasons. Since the discharge data for the water availability studies in this micro hydropower have been available for more than 10 years then its FDC will be drawn from the river flow value >90% time of exceeded for the system design and energy estimation [7]. The basic assumptions of the analysis are that the river flow condition is quasi-steady to steady and the river bed at the recording location is free from any sort of serious erosion and siltation. 2.2 Flow duration curve with available flow for Micro Hydropower From the above river flow duration curve Figure 1.1 with the historical data and take into account the compensation flow based on the 0.2 m3/s minimum environmental flow, the flow duration curve with the available flow for hydro can be derived as shown on Table 1.3 below; Table 1.3: Percentage of exceedance with available flowfor hydropower Percentage of Exceedence (%) Available flow for hydro [m3 /s] 5 2.3 8 2.1 17 1.39 25 1.02 33 0.82 42 0.72 50 0.655 58 0.59 67 0.54 75 0.49 83 0.45 92 0.42 100 0.4 Similarly, the above values can be standardised to represent the flowrate values from 10% to 100 % as shown on Table 1.4 below; Table 1.4: Standardised % of exceedance with available flow for hydro flow for hydro Standardised % Time Exceeded Flow rate [m3 /s] Q10 1.79 Q20 1.25 Q30 0.90 Q40 0.74 Q50 0.66 Q60 0.58 Q70 0.52 Q75 0.49 Q80 0.47 Q90 0.43 Q95 0.41 Q100 0.40 Qmean = Q42% 0.72 Figure 1.2: Available flow duration curve for hydropower (Period of analysis is between 1985 - 2007) From the above Figure 1.2 the available river flow for hydropower at Q95% is found to be 0.41 m3 /s and that of the Qmean is at Q42% which is 0.72 m3 /s. From literature and in relation to FDC, mean flow are typically in a range between Q30 and Q40 [4]. The Qmean value is above Q40 due the very high base flow for the river (Q95/Qmean> 0.4). The value taken for the base flow is 0.35 m3 /s at > Q100% as shown on Figure 1.2 and this indicate a high base flow value for the scheme which is characterised by most of the run-of-river schemes [8]. 2.3 River Discharge The monthly average discharge data for Hhaynu River was measured for a period of one year, from September 2015 to August 2016. Also, managed to obtain the historical river flow discharge data which is the record of water flow for the river for the past years. These data were obtained from the local water basin authority and represent the volumetric flow rate for the river for many years from 1985 to 2007. The values have been computed to obtain the monthly average and compared with the site measured discharge values. See Table 1.5 below;
  • 4. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 13 Table 1.5: Historical and Site measured flow data Month Site measureme nt river flow average (Sept.2015 - Aug.2016) [m3 /s] Historic al average river flow (1985- 2007) [m3 /s] Design base flow QD [m3/s] Difference in flow (Site measured – Historical) [m3 /s] January 0.84 0.89 0.35 -0.05 February 0.83 0.82 0.35 0.01 March 1.22 1.14 0.35 0.08 April 2.30 2.66 0.35 -0.36 May 1.59 1.63 0.35 -0.04 June 0.90 0.96 0.35 -0.06 July 0.74 0.76 0.35 -0.02 August 0.66 0.68 0.35 -0.02 September 0.62 0.64 0.35 -0.02 October 0.60 0.60 0.35 0 November 1.05 0.98 0.35 0.07 December 1.01 0.92 0.35 0.09 Average 1.030 1.057 0.35 Note: The negative values are the ones below minimum flow value and positive values are the ones above minimum flow value. The historical data have been used to validate the site measured data and the general trend shows that both data display similar patterns with high discharge in March, April and May due to a lot of rains in the area and low discharge in September and October due to dry weather in the area. The historical data has a bit of high discharge values in many months due to the fact that there were a lot of volumetric water flow to the river in the area due to the fact that there were less environmental degradation eg. Deforestation, farming near the river banks, irrigation activities, which reduce the water volume significantly. Now days these activities are practised in the villages in most rural areas which affect significantly the river flow pattern due the effect on rainfall and runoff. From the theoretical design point of view the high water volume during the rain months could be stored in a reservoir and used during the dry months to produce additional energy required from the demand. But in many micro scale schemes this idea may not be viable options due to the fact that it requires additional facilities for the reservoir which in turn will increase the project cost due to the acquisition of land and compensations. The maximum value difference between the site measured data and historical data range between 0.36 m3 /s below the minimum value (negative) to 0.09 m3 /s above the minimum value (positive). In this research project, the minimum flow discharge value considered for system design is around 0.40 m3 /s which is the discharge value that is available for both measured data and historical data when considering compensation flow. Thus, in this case the minimum residual flow is around 0.20 m3 /s based on the fact that there is no depleted reach on the river flow throughout the year as shown on Figure 1.3 below; Figure 1.3: Flow comparison between the measured data and historical data The minimum discharge amount that may be available throughout the year for both sites in measured data and historical data when not considering a pondage for small water storage is around 0.6m3 /s. In consideration of the residual flow the value of 0.4m3 /s will be used on the initial system design as the discharge design base flow from the river. See Figure 1.4 below for details of the annual river hydrograph; Figure 1.4: Annual river hydrograph More discharge is available in the months of March, April and May because of much rain in the area as these are the main rain months in the year. The rain increases the water run-off from the catchment area and hence increase the river flow downstream. In the other months of October, November and December there is also a small amount of rain in the area but the quantity is not as many as in the main rain season. The area is characterised by tropical climate on which there is only two seasons. Rain seasons with major rain in March, April and May and minor rain in October, November and December with dry season in July, August and September.
  • 5. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 14 Figure 1.5: Site measured monthly average flow Hydrograph for hydropower development can be further represented in detail for 90 days continuous river discharge as shown on Figure 1.6 below; Figure 1.6: 90 days site measured river flow From the hydrograph and flow duration curve, it is noted that the minimum river discharge at any given day is around 0.6 m3 /s. So, in considering residual flow, the minimum water availability for hydropower generation from the river is <= 0.4 m3 /s and this value is the feasible discharge that is reliable and available throughout the years, thus why it is taken as a design discharge for the hydropower system in this research project. Figure 1.7: Three months average site measured river flow 2.4 Validation of the Hydrological method and Limitations of the study The performance of the study using hydrological method in calculating environmental flow was validated against the locally calculated environmental regimes using the efficiency coefficient R2 [9]. The validation method was based on the maximum and minimum river flows during the rain and dry seasons. The choice of determining the environmental flow was limited by using hydrological methods because of lack of detailed eco-hydrological data on river ecosystem responses to flow alterations for most small river basins in Tanzania III. CONCLUSION In determination of run-of-river flow suitable for micro hydropower plants design discharge, provisions have to be considered for environmental flow which is the water that must be allowed to flow downstream on the river at the length of the penstock. Based on the study data, the available water flow discharge from the Hhaynu river which is suitable for micro hydropower plant and available throughout the year is around 0.4 m 3 /s (Q100%). From the base flow without considering water for the hydropower, the flow at Q100% is 0.6m3 /s on which the provision of environmental flow accounted for is 33.3% of the original base flow. So whenever applicable in small rivers, the minimum provision for environmental flow may be accounted for at least 30% [10] of the river flow in most small rivers with similar flow pattern like Hhaynu in order to keep ecosystem in a fair ecological condition. REFERENCES [1] Biemans, H., Haddeland, I., Kabat, P., Ludwig, F., Hutjes, R., Henke, J., von Bloh, W., and Gerten, D.: Impact of reservoirs on river discharge and irrigation water supply during the 20th century, Water Resour. Res., 47, W03509, doi: 10.1029/2009WR008929, 2011 [2] Dudgeon, D.: Large-scale hydrological changes in tropical Asia. Prospects for riverine biodiversity, Bioscience, 50, 793-806, 2000 [3] Vliet, M. H., Ludwig, F., and Kabat, P.: Global streamflow and thermal habitats of freshwater fishes under climate change, Climatic Change, 121, 739 – 754, doi:10.1007/s10584-013-0976-0, 2013 [4] A. V. Pastor, F. Ludwig, H. Biemans, H. Hoff, and P. Kabat.: Accounting for environmental flow requirement in global water assessments. Hydrology and Earth System Sciences, doi:10.5194/hess-18, 5041-5059, 2014 [5] UK Environment Agency. Guidance for run-of-river hydropower. December 2013 [6] British Hydropower Association. A guide to UK Mini-Hydro Development v3.0. October 2012. www.british-hydro.org [7] [AHEC-IITR, “1.3 – Project hydrology and installed capacity” Standard/manual/guideline with support from Ministry of New and Renewable Energy, Roorkee, August 2013]. [8] Hughes, D. A.: Providing hydrological information and data analysis tools for the determination of ecological instream flow requirements for South African Rivers, Journal of Hydrology, 241, 140-151, doi: 10.1016/S0022- 1694(00)00378-4, 2001 [9] Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part i – a discussion of principles, Journal of Hydrology, 10, 282-290, doi:10.1016/0022- 1694(70)90255-6, 1970
  • 6. International Journal of Advanced Scientific Technologies in Engineering and Management Sciences (IJASTEMS-ISSN: 2454-356X) Volume.3,Issue.11,November.2017 www.ijastems.org Page 15 [10] Hanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., and Tanaka, L.: An integrated model for the assessment of global water resources – Part 1: Model description and input meteorological forcing, Hydrology and Earth System Sciences, 12, 1007-1025, doi:10.5194/hess-12-1007-2008, 2008