<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">CWEEE</journal-id><journal-title-group><journal-title>Computational Water, Energy, and Environmental Engineering</journal-title></journal-title-group><issn pub-type="epub">2168-1562</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/cweee.2016.52008</article-id><article-id pub-id-type="publisher-id">CWEEE-65957</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject><subject> Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  A Study on Determining the Hydropower Potential of &#199;ine Dam in Turkey
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>engiz</surname><given-names>Koç</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yıldırım</surname><given-names>Bayazıt</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Recep</surname><given-names>Bakış</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Civil Engineering, Anadolu University, Eskisehir, Turkey</addr-line></aff><aff id="aff2"><addr-line>Department of Civil Engineering, Bilecik Seyh Edebali University, Bilecik, Turkey</addr-line></aff><aff id="aff1"><addr-line>Department of City and Regional Planning, Faculty of Architecture, Mugla Sitki Koiman University, Mugla, Turkey</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>cengizkoc@dsi.gov.tr(EK)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>29</day><month>03</month><year>2016</year></pub-date><volume>05</volume><issue>02</issue><fpage>79</fpage><lpage>85</lpage><history><date date-type="received"><day>28</day>	<month>March</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>23</month>	<year>April</year>	</date><date date-type="accepted"><day>27</day>	<month>April</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This study has been conducted with the purpose of determining the hydroelectric potential that can be utilized by Cine dam which will be constructed for irrigation, overflow control and for energy production purposes on the Cine stream (which is located as an important arm of B&#252;y&#252;k Menderes River in Turkey). The study will also compare other research conducted by various organizations. In order to determine the hydroelectric energy potential, the SIMAHPP 4 (Simulate and Assess the Feasibility of Hydropower Projects) professional software has been utilized. It has been observed that the calculated hydroelectric potential conforms to energy potential calculated by other organizations such as DSI (State Hydraulic Works). Especially the turbine power, installed power, turbine design flow rate and annual energy production values in the studies have been realized with close values to the real ones. The power plant which is planned to have an average of natural streams of the past 43 years has been designed with an annual power production capacity of 210.87 GWh/year (without regulation ratio) and with installed power of 48,144 MW along with a design flow rate of 35 m
  <sub>3</sub>/s. As a result, since these water structures have high costs associated with them and also since they will have to be functional for many years, it will be beneficial to use various different computational methods.
 
</p></abstract><kwd-group><kwd>SIMAHPP</kwd><kwd> Hydroelectric Potential</kwd><kwd> Water Sources</kwd><kwd> &#199;ine Dam</kwd><kwd> Turkey</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>There is a general view that hydroelectricity is the renewable energy source par excellence as it is non-exhaus- tible, nonpolluting, and more economically attractive than other options. Hydropower plants emit much less greenhouse gas than thermal plants do. Greenhouse gas emissions of hydropower are caused by the decay of vegetation in flooded areas and by the extensive use of cement in the dam construction. Unfortunately, there are unfavorable local impacts of the use of rivers, social as well as ecological impacts, and they are gaining importance as people become aware of how those impacts affect living standards. On the other hand, most renewable sources of energy (such as hydroelectricity generation) are capital intensive, but have lower operational cost than thermal and nuclear options. The high initial cost is a serious barrier for its growth in developing countries, where most of the untapped economic potential is located.</p><p>Hydropower is available in a broad range of project scales and types. Projects can be designed to suit particular needs and specific site conditions. Since hydropower does not consume or pollute the water that it uses to generate power, it leaves this vital resource available for other uses. At the same time, the revenues generated through electricity sales can finance other infrastructure essential for human welfare. This can include drinking water supply systems, irrigation schemes for food production, infrastructures enhancing navigation, recreational facilities and ecotourism [<xref ref-type="bibr" rid="scirp.65957-ref1">1</xref>] - [<xref ref-type="bibr" rid="scirp.65957-ref4">4</xref>] .</p><p>Turkey has a gross annual hydro potential of 433,000 GWh, which is almost 1% of the world’s total potential. Of the total hydropower capacity in Europe, Turkey’s share is about 14%. Almost half of the gross potential is technically exploitable, and 28% (122,322 GWh/year) is economically exploitable [<xref ref-type="bibr" rid="scirp.65957-ref5">5</xref>] . As of November 2000, there were 120 hydro plants in operation. These have a total installed capacity of 11,588 MW and an annual average generation capacity of 42,015 GWh, amounting to almost 34% of the total exploitable potential, which is at present meeting about 35% of the electricity demand. Thirty-four hydro plants with an installed capacity of 3305 MW and an annual generation capacity of 10,981 GWh, which is almost 9% of the total potential, are under construction. The hydroelectric energy established power has shown an increase over the years. In the 1970s, it was 725 MW, in 2005 12,906 MW and it was 15,831.20 MW in 2010. Of the 281 hydroelectric power plants in Turkey under operation, 13,318.9 MW (79%) of them are of dam-type power plants and 3607.9 MW (21%) are river-run type power plants for the years 2002-2012 [<xref ref-type="bibr" rid="scirp.65957-ref6">6</xref>] .</p><p>This study has been conducted with the purpose of determining the hydroelectric potential that can be utilized by &#199;ine dam which will be constructed for irrigation, flood control and for energy production on the &#199;ine stream in Turkey. The study will also compare other research conducted by various organizations.</p></sec><sec id="s2"><title>2. Material and Method</title><sec id="s2_1"><title>2.1. Material</title><p>The study area is located in the &#199;ine sub-basin of the B&#252;y&#252;k Menderes River in western Anatolia (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The stream of &#199;ine, which is a part of B&#252;y&#252;k Menderes River, is the water source of the area. The length of &#199;ine stream is 105 km and the precipitation area is 1418 km<sup>2</sup>. The study area shows features of the Mediterranean climate. The average annual rainfall varies from 600 - 1100 mm. The average annual temperature is around 17˚C. The annual net evaporation is recorded as 835 mm. 43-year average natural flow over the point where the dam has been built is 380.36 &#215; 106 m<sup>3</sup>/year. The amount of water that can be withdrawn from the dam for power generation is planned as 194.02 &#215; 106 m<sup>3</sup>/year. The regulation ratio is 51% which is the ratio of the amount of water used for energy production to the total expected water amount. The project area water quality is C<sub>2</sub>S<sub>1</sub>. The &#199;ine dam is built as Roller Compacted Concrete type, and it has been planned for irrigation, flood control and hydropower production. The information about &#199;ine Dam in the project area as well as information about the hydropower plant planning is provided in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s2_2"><title>2.2. Method</title><p>In this study, the preliminary feasibility analysis of the hydroelectric energy potential of &#199;ine Dam has been conducted with SIMAHPP (Simulate and Assess the Feasibility of Hydropower Projects) 4 Software. SIMAHPP4 Professional is proprietary Windows operating system based program which is utilized to simulate and assess the feasibility of hydropower projects by using hydraulic, financial, and environmental parameters. SIMAHPP has been used internationally by consultants, university professors, researchers, and turbine manufacturers to analyze</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Location of &#199;ine dam constructed and hydroelectric power plant planned in Turkey</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-2570109x7.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of &#199;ine dam and hydroelectric power plant planned [<xref ref-type="bibr" rid="scirp.65957-ref7">7</xref>] </title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >&#199;ine dam</th><th align="center" valign="middle"  colspan="2"  >&#199;ine hydroelectric power plant</th></tr></thead><tr><td align="center" valign="middle" >Maximum flood discharge</td><td align="center" valign="middle" >3578 m<sup>3</sup>/s</td><td align="center" valign="middle" >Maximum fall</td><td align="center" valign="middle" >147.60 m</td></tr><tr><td align="center" valign="middle" >Shifted maximum flood</td><td align="center" valign="middle" >2570 m<sup>3</sup>/s</td><td align="center" valign="middle" >Normal fall</td><td align="center" valign="middle" >146.30 m</td></tr><tr><td align="center" valign="middle" >Storage volume at crest level</td><td align="center" valign="middle" >350 &#215; 10<sup>6</sup> m<sup>3 </sup></td><td align="center" valign="middle" >Minimum fall</td><td align="center" valign="middle" >97.30 m</td></tr><tr><td align="center" valign="middle" >Lake surface area at crest level</td><td align="center" valign="middle" >9.34 km<sup>2 </sup></td><td align="center" valign="middle" >Power tunnel length</td><td align="center" valign="middle" >2555.00 m</td></tr><tr><td align="center" valign="middle" >Dam type</td><td align="center" valign="middle" >weight RCC</td><td align="center" valign="middle" >Power tunnel diameter</td><td align="center" valign="middle" >3.90 m</td></tr><tr><td align="center" valign="middle" >Dam height from thalweg</td><td align="center" valign="middle" >130.00 m</td><td align="center" valign="middle" >Penstock diameter</td><td align="center" valign="middle" >3.90 - 3.20 m</td></tr><tr><td align="center" valign="middle" >Crest Length</td><td align="center" valign="middle" >300.00 m</td><td align="center" valign="middle" >Penstock length</td><td align="center" valign="middle" >291.62 m</td></tr><tr><td align="center" valign="middle" >Crest wide</td><td align="center" valign="middle" >150.00 m</td><td align="center" valign="middle" >Power tunnel sill level</td><td align="center" valign="middle" >195.26 m</td></tr><tr><td align="center" valign="middle" >Spillway type</td><td align="center" valign="middle" >stepped</td><td align="center" valign="middle" >Tail-water level</td><td align="center" valign="middle" >107.50 m</td></tr><tr><td align="center" valign="middle" >Spillway capacity</td><td align="center" valign="middle" >2578 m<sup>3</sup>/s</td><td align="center" valign="middle" >Average discharge</td><td align="center" valign="middle" >12.061 m<sup>3</sup>/s</td></tr><tr><td align="center" valign="middle" >Maximum water level (in Flood)</td><td align="center" valign="middle" >264.80 m</td><td align="center" valign="middle" >Regulation rate</td><td align="center" valign="middle" >51%</td></tr><tr><td align="center" valign="middle" >Normal water level</td><td align="center" valign="middle" >260.00 m</td><td align="center" valign="middle" >Amount of water energized</td><td align="center" valign="middle" >194.02 &#215; 10<sup>6</sup> m<sup>3</sup></td></tr><tr><td align="center" valign="middle" >Minimum water level</td><td align="center" valign="middle" >205.00 m</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>hydropower potential. SIMAHPP Professional is a multi-site, multi-option simulator intended to solve a wide range of problems such as determining design flows and to select suitable hydro-turbines, optimize time of operation in a year so as to maximize annual energy production, determine the energy revenue, estimate investment and maintenance costs, determine amortization rates, Net Present Value (NPV), Internal Rate of Return (IRR), payback periods, and indicates the impact of the project on reducing carbon emission reduction as well as the potential for carbon market revenue if the planned hydropower project is to be operational (www.hydroxpert.com) The software can be inputted with multiple Hydroelectric plant projects. For complete analysis, 3 different types of data input are required. These parameters are hydraulic, financial and environmental parameters (<xref ref-type="fig" rid="fig2">Figure 2</xref>). During the data input for hydraulic parameter, average flow value for one of the daily, monthly or annual flow rates have to be entered. If daily flow rate value is to be inputted, then 365 values are required, but if monthly flow values are to be inputted then only 12 flow values are needed. Since the annual flow rate for &#199;ine stream was calculated in this study, only a single flow value has been entered into the software. Furthermore, in this section, the height where the water will fall is given in meters. Then following those the required financial data is entered. In this section, data such as investment costs, annual or monthly depreciation plan and</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Flow diagram SIMAHPP 4 Professional package program</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-2570109x8.png"/></fig><p>carbon market values are entered. Lastly, in the section for the environmental parameters, the carbon emission rates are inputted for the calculation of carbon emission reduction potential for hydroelectric energy as compared to other sources. Once these data are entered then the analysis is completed. The results are then given as plots and as tables [<xref ref-type="bibr" rid="scirp.65957-ref8">8</xref>] .</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>In this study, the potential of Cine hydropower dam is calculated using SIMAHPP 4 Professional software and the DSI &#199;ine dam hydroelectric power plant (HPP) on the same dam is compared with planning data. The amount of electricity to be generated by the dam of the year in &#199;ine, installed capacity, turbine design flow, power production, energy production, investment and self-calculated data, such as payback period is given in <xref ref-type="table" rid="table2">Table 2</xref>. The graphics for the software results were plotted in <xref ref-type="fig" rid="fig3">Figure 3</xref>. Results that examined HPP costs totaling 49.6 &#215; 10<sup>6</sup> EUR is the amount of electricity to be produced annually 210.87 GWh/year (regulation disproportionate) total installed capacity of 48.144 MW turbine design flow rate of 35 m<sup>3</sup>/s, the monetary value of the annual energy 22 &#215; 106 EUR, per kWh investment the price of 1030.755 EUR/person and the payback period is estimated to be 2235 years.</p><p>When the power-probability chart is examined, it is observed that the curve is parallel to the flow continuity plot. As flow rate grows, the power produced will increase, while decreasing the flow reduces the power. However, the data entered to the software is the average annual flow rate. Therefore, calculations are made assuming that there is constant flow happening for 12 months. Thus, this is why flow-continuity and power-probability plots are coming out as constants. When the chart for energy production is analyzed it has constant energy increase as the flow is constant for 12 months. On the other hand, emission reduction results which appear in software [(CO<sub>2</sub>/year)-Coal (CO<sub>2</sub>/year)-Gas (CO<sub>2</sub>/year)-fuel (or oil)] are closely related to the carbon markets. The carbon market is a market to sell and buy shares of greenhouse gases in order for countries to reach their emission targets.</p><p>In 1997, this market has come up with a meeting in Kyoto, and 39 developed countries have agreed to make the amount of carbon emissions in the atmosphere reduce down to levels to below 5% as per 1990 emission levels.</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Graphics of flow-discharge, flow duration, power, energy production, and energy income of &#199;ine dam hydroelectric plant</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/6-2570109x9.png"/></fig><p>The Kyoto Protocol limits the carbon emissions quotas for each country and industry. According to this protocol, each member country has been allocated a certain quota of carbon. Each country will allocate this quota among its industrialists. If any producer or country exceeds its quota, it will compensate for the error by purchasing carbon quota from others that produce less carbon. In other words, companies and states that cause air pollution (those causing the release of more carbon emissions into the atmosphere) will be giving money to those with less carbon emissions in order to provide the balance. This form of greenhouse gas emissions will remain constant throughout the world. The European Union Emission Trading System (2003/87/EC, EUETS- European Union Emission Trading Scheme) covers 25 countries and 13,000 organizations since 2005. Since 2005, 362 million tons of CO<sub>2</sub> have seen monetary value of the total transactions and it has reached 7.2 billion Euros. As of 2012, trillion dollars of trade volume is reported [<xref ref-type="bibr" rid="scirp.65957-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.65957-ref10">10</xref>] . Accordingly, in the studies, it is observed that in order to produce 210.87 GWh/year power, the amount of coal needed to generate this electricity in a year will lead to 126,523.843 tons of CO<sub>2</sub>emissions into the atmosphere. If gas is used then 42,174.614 tons of CO<sub>2</sub> emissions are</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Hydroelectric project characteristics calculated by the method SIMAHPP 4 professional</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Project characteristics</th><th align="center" valign="middle" >Option 1</th></tr></thead><tr><td align="center" valign="middle" >Net head (m)</td><td align="center" valign="middle" >147.600</td></tr><tr><td align="center" valign="middle" >Design flow (m<sup>3</sup>/s)</td><td align="center" valign="middle" >35.000</td></tr><tr><td align="center" valign="middle" >Design time of operation (%)</td><td align="center" valign="middle" >100.000</td></tr><tr><td align="center" valign="middle" >Power production (kW)</td><td align="center" valign="middle" >48,144.537</td></tr><tr><td align="center" valign="middle" >Energy production (kWh/year)</td><td align="center" valign="middle" >210,873,072,060.000</td></tr><tr><td align="center" valign="middle" >Energy revenue (EUR/year)</td><td align="center" valign="middle" >22,795,379,090.000</td></tr><tr><td align="center" valign="middle" >Emission reduction (tCO<sub>2</sub>/year-Coal)</td><td align="center" valign="middle" >126,523,843.000</td></tr><tr><td align="center" valign="middle" >Emission reduction (tCO<sub>2</sub>/year-Gas)</td><td align="center" valign="middle" >42,174.614</td></tr><tr><td align="center" valign="middle" >Emission reduction (tCO<sub>2</sub>/year-Fuel)</td><td align="center" valign="middle" >67,479.383</td></tr><tr><td align="center" valign="middle" >Carbon market (EUR/year)-Mean</td><td align="center" valign="middle" >787,259.467</td></tr><tr><td align="center" valign="middle" >Investment cost (EUR)</td><td align="center" valign="middle" >49,625,200.139</td></tr><tr><td align="center" valign="middle" >Investment cost /kW (EUR/kW)</td><td align="center" valign="middle" >1030.755</td></tr><tr><td align="center" valign="middle" >Investment cost/kWh (EUR/kWh)</td><td align="center" valign="middle" >0.235</td></tr><tr><td align="center" valign="middle" >O &amp; M Cost (EUR/year)</td><td align="center" valign="middle" >595,502.402</td></tr><tr><td align="center" valign="middle" >NVP: Net Present Value (EUR)</td><td align="center" valign="middle" >606,777,525.321</td></tr><tr><td align="center" valign="middle" >IRR: Internal Rate of Return (%)</td><td align="center" valign="middle" >46.000</td></tr><tr><td align="center" valign="middle" >Payback period (Years)</td><td align="center" valign="middle" >2.235</td></tr><tr><td align="center" valign="middle" >Amortization plan (Yearly)</td><td align="center" valign="middle" >1,787,867.910</td></tr><tr><td align="center" valign="middle" >Suggested turbine type</td><td align="center" valign="middle" >Pelton/Turgo</td></tr><tr><td align="center" valign="middle" >Exchange rate (31.12.2015), 1 EUR</td><td align="center" valign="middle" >1.000000 EUR</td></tr></tbody></table></table-wrap><p>released and when oil is used, it causes 67479.383 tons of CO<sub>2</sub> to be released into the atmosphere. The value of these oscillations of the carbon market will be 787,259,467 EUR per year. Therefore, a hydroelectric power has environmental features and thus offers an important contribution for reducing global warming.</p><p>The DSI data and the hydroelectric potential determined through the software for &#199;ine dam is given in <xref ref-type="table" rid="table3">Table 3</xref>. As per this table, 147.6 m water fall height is found, and the amount of electricity it will produce is 118 GWh per annum with an installed capacity of 47.2 MW with a Francis turbine type having a vertical axis [<xref ref-type="bibr" rid="scirp.65957-ref11">11</xref>] . The calculations made by computer software has determined the turbine design flow rate as 35 m<sup>3</sup>/h, the amount of energy that can be produced per year with a height of 147.6 m is found to be 107.54 GWh (210.87 &#215; 0.51), and turbine power installed capacity is determined to be 48.14 MW. When the results obtained from studies of the parameters are examined, it is observed that there are some minor differences with the parameters set by DSI. The overlap rate of parameters obtained from two studies ranges from 0.98 to 1.09. The differences are seen only in the selection of the turbine type and number of installed units. Since Francis type turbines are being used in power plants in the recent years, this has also been the selection for this study. During the software calculation, a single turbine unit has been considered. The reason for determining 2 as the number of turbines by DSI is due to the fact that it will also be used for irrigation. Irrigation water demand will vary throughout the season and in order to get the energy of the water flow it is a good idea to use 2 turbines. This selection will provide significant flexibility for operability of dams which are used for irrigation and power production.</p></sec><sec id="s4"><title>4. Conclusions and Recommendations</title><p>The parameter values calculated through the software have been compared with the planning parameters of the hydroelectric energy potential of &#199;ine dam constructed by a public organization (DSI). As a result, even though different calculation methods have been used in the 2 studies, still data values close to each other have been obtained. In these types of planning, it is possible to use different calculation methods to create the most suitable</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Parameters calculated in the research area and planned by the DSI</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="4"  >Parameters</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >DSI planning</td><td align="center" valign="middle" >Calculated for research area</td><td align="center" valign="middle" >Overlap ratio</td></tr><tr><td align="center" valign="middle" >Number of units</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Installed power</td><td align="center" valign="middle" >47.20 MW</td><td align="center" valign="middle" >48.14 MW</td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" >Turbine power</td><td align="center" valign="middle" >23.60 MW &#215; 2</td><td align="center" valign="middle" >48.14 MW</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Turbine type</td><td align="center" valign="middle" >Francis (vertical axis)</td><td align="center" valign="middle" >Pelton or Turgo T&#252;rbine</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Energy production</td><td align="center" valign="middle" >118 GWh/year</td><td align="center" valign="middle" >107.54 GWh/year (210.87 &#215; 0.51)</td><td align="center" valign="middle" >1.09</td></tr><tr><td align="center" valign="middle" >Net fall</td><td align="center" valign="middle" >147.60 m</td><td align="center" valign="middle" >147.6 m</td><td align="center" valign="middle" >1.00</td></tr><tr><td align="center" valign="middle" >Design discharge</td><td align="center" valign="middle" >35 m<sup>3</sup>/s (17.50 &#215; 2)</td><td align="center" valign="middle" >35 m<sup>3</sup>/s</td><td align="center" valign="middle" >1.00</td></tr></tbody></table></table-wrap><p>and economical solution. Especially before developing energy projects it is important to work in a detailed and meticulous manner during the planning stage. This is especially important for water structures, since they are structures designed to give longer term service and have high costs and thus calculation errors during the planning stage can cause problems which can’t be eradicated at later stages. During the calculation of the hydroelectric potential, it is especially crucial to determine the flow rate of the water source and the net decrease in heights. It will be possible to create highly efficient energy projects by evaluating the data with different calculation methods and then comparing the results.</p></sec><sec id="s5"><title>Cite this paper</title><p>Cengiz Ko&#231;,Yıldırım Bayazıt,Recep Bakış, (2016) A Study on Determining the Hydropower Potential of &#199;ine Dam in Turkey. Computational Water, Energy, and Environmental Engineering,05,79-85. doi: 10.4236/cweee.2016.52008</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.65957-ref1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Kaygusuz</surname><given-names> K. </given-names></name>,<etal>et al</etal>. (<year>2002</year>)<article-title>Sustainable Development of Hydropower</article-title><source> Energy Sources</source><volume> 24</volume>,<fpage> 803</fpage>-<lpage>815</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.65957-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kaygusuz, K. (2004) Hydropower and World’s Energy Future. 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