Inter national J our nal of P o wer Electr onics and Dri v e System (IJPEDS) V ol. 16, No. 3, September 2025, pp. 1881 1896 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v16.i3.pp1881-1896 1881 Impr o ving electrical ener gy efciency thr ough h ydr oelectric po wer and turbine optimization at the El Oued water demineralization plant in Algeria Khaled Miloudi 1,2 , Ali Medjghou 3,4 , Ala Eddine Djokhrab 1,2 , Mosbah Laouamer 1,2 , Souhaib Remha 1,2 , Y acine Aoun 1,2 1 Department of Mechanical Engineering, F aculty of T echnology , Uni v ersity of El Oued, El Oued, Algeria 2 UDERZA Unit, F aculty of T echnology , Uni v ersity of El Oued, El Oued, Algeria 3 Department of Electronics, Institute of Science, Uni v ersity Center of T ipaza, T ipaza, Algeria 4 Laboratory of Adv anced Automation and Systems Analysis, Department of Electronics, F aculty of T echnology , Uni v ersity of Batna 2, Batna, Algeria Article Inf o Article history: Recei v ed Oct 25, 2024 Re vised Apr 4, 2025 Accepted May 25, 2025 K eyw ords: Albian aquifer Hydroelectric po wer Rene w able ener gy T urbine-generator group W ater demineralization plant ABSTRA CT This paper pre sents an in v estig ation into the ener gy potential of the Albian aquifer in the Algerian Sahara at the El Oued w ater demineralization plant, focusing on its capacity to generate electrical po wer due to its high-pressure and high-temperature w ater reserv es. W e designed and implemented a turbine-generator system to con v ert h ydraulic ener gy into electricity , achie ving an a v erage annual ener gy output of 1,804,560 kWh, which translates to a nancial g ain of approximately 345,888,600 DZD per year from ener gy sa vings. The selection of a F rancis turbine w as justied based on its ef cienc y , which ranges from 90% to 95%, and the system design w as simulated using MA TLAB-Simulink, demonstrating its rob ustness and ef fecti v eness in managing the electrical netw ork parameters. Our economic analysis indicates a high return on in v estment, conrming the feasibility of utilizing the Albian aquifer as a strate gic asset for clean and reliable ener gy production in the re gion. This is an open access article under the CC BY -SA license . Corresponding A uthor: Khaled Miloudi Department of Mechanical Engineering, F aculty of T echnology , Uni v ersity of El Oued Chott City , B.P . 789, El Oued 39000, Algeria Email: miloudi-khaled@uni v-eloued.dz, khaled.miloudi.dz@gmail.com 1. INTR ODUCTION In Sub-Saharan Africa, o v er 50% of the population lacks access to clean ener gy , as reported by the International Ener gy Agenc y [1]. Electricity demand is projected to increase by 4.6% due to industrial gro wth and population increase [2]. This re gion must e xplore alternati v e ener gy sources to impro v e its capacity for electricity generation. Furthermore, the en vironmental consequences of the hea vy dependence on fossil fuels require immediate action to address these challenges and promote sustainable ener gy solutions [3]. Industrial operations in both de v eloped and de v eloping nations contrib ute signicantly to climate change through high ener gy consumption and emissions of pollutants link ed to global w arming [4]. The 2015 P aris Conference brought together w orld leaders to address this issue, agreeing to limit temperature increases to 2 de grees Celsius [5]. The discussions emphasized in v esting in rene w able ener gy and transitioning to lo w-carbon emission systems to mitig ate en vironmental impacts. Rese arch indicates that rene w able ener gy can ef fecti v ely replace J ournal homepage: http://ijpeds.iaescor e .com Evaluation Warning : The document was created with Spire.PDF for Python.
1882 ISSN: 2088-8694 high-carbon fuels, impro ving econom ic gro wth through electricity sales [6]. This collecti v e ef fort aims to combat climate change and promote sustainable de v elopment. The transition from fossil fuels to rene w able ener gy is signicantly inuenced by adv ances in rene w able technologies [7]. Histor ically , high production costs ha v e hindered the inte gration of green ener gy into e xisting netw orks and limited its commercial viability . Ho we v er , recent reductions in equi pment prices ha v e made rene w able ener gy more accessible globally , f acilitating its adoption [8]. This shift is crucial to achie v e net zero emissions and combat climate change, as outlined in the P aris Agreement [9]. According to the Ener gy Institute’ s Statistical Re vie w of W orld Ener gy , fossil fuels accounted for 81.5% of global primary ener gy consumption in 2023 [10], [11]. The production of electricity from rene w able ener gy sources is an important strate gy to reduce greenhouse g as emissions, as indicated [12]-[15]. Hydroelectric po wer is a leading rene w able ener gy source, contrib uting approximately 2.5 % of the total ener gy resources of the w orld and a substantial 15.9 % of global electricity generation [16], [17]. Its ef cienc y and reliability as an electricity source are well documented in the ener gy sector . The Albian aquifer , located approximately 1500 meters under ground, is a v ast w ater reserv e in the Algerian Sahara [18], [19]. It serv es not only as a source of freshw ater , b ut also as a signicant ener gy accumulator . It is considered a strate gic resource because the w ater emer ges with a pressure of 20 bar when the v alv e is closed and a temperature of 60 °C. Pre vious studies conducted by the Sahara and Sahel Observ atory (OSS) ha v e sho wn that the aquifer layer can pro vide a continuous supply of ener gy for at least 40 years, with each well capable of generating up to 35 kilo w atts of electrical po wer [20]. Hydroelectric po wer plants are crucial in global ener gy production, accounting for about 20% of the w orld’ s electricity [21]. These plants harness the ener gy of mo ving w ater to dri v e turbines, which in turn po wer generators to produce electricity . This well-established technology of fers se v eral adv antages [22], [23], such as lo w mar ginal costs and minimal greenhouse g as emissions [24]. Ho we v er , the potential of aquifer w ater has not been fully and rati onally e xploited, and the actual cost per cubic meter of w ater from the Albian well remains unkno wn. The w ater in this aquifer is highly ener gy-intensi v e and requires a motor of approximately 75 kW for direct utilization. It is important not to underestimate the ener gy content of this w ater , especially considering the initial ener gy losses. The h ydraulic po wer a v ailable from the operational wells is substantial, and each well is capable of producing around 50 kW . In some areas, this capacity is e v en higher . This h ydraulic po wer can be ef ciently con v erted into electrical ener gy using turbine- generator sets. It is essent ial to c o ns ider that the a v ailable h ydraulic ener gy will diminish o v er time due to well aging, the construction of additional producti v e wells, and the increasing interference of neighboring wells in re gions such as El M’Ghair , Djamaa, and T ouggourt. Therefore, the design and sizing of these turbine generator sets must tak e these f actors into account. A yuan and Emetere [25] analyze the potential of wind ener gy generation in Y undum and Basse, emplo ying the W eib ull and Raleigh distrib utions. The ndings indicate a signicant potential for wind po wer , with v arying densities, suggesting strong prospects for wind ener gy de v elopment at both locations. Furthermore, A yua and Emetere [26], proposed a h ybrid rene w able ener gy po wer system (HREPS) for the Basse district of the Gambia, inte grating wind and solar ener gy with battery storage. The optimal system, designed using PVsyst softw are, includes 20 photo v oltaic modules and a 1 kW wind generator , capable of meeting an annual load of 2,555 MWh. The system sho ws reliable performance and substantial ener gy storage potential. Furthermore, Emetere et al. [27] e xplore Pico h ydroelectric systems as a viable ener gy solution for Nigeria, addressi ng the gro wing ener gy demands and en vironmental issues of the country . The y e v aluated the cost (738,000.00 ) and feasibility of the system, noting the ab undance of w ater resources in southern Nigeria. The study highlights construction techniques, including the selection of w ater sources and turbines, concluding that Pico h ydroelectric systems can signicantly reduce dependence on fossil fuels and air pollution. These studies underscor e the di v erse rene w able ener gy potentials in Africa and their role in reducing greenhouse g as emissions. Although Nigeria and The Gambia ha v e e xplored Pico h ydroelectric and h ybrid rene w able systems, respecti v ely , Algeria’ s focus has been on harnessing the h ydraulic ener gy of the Albian aquifer . Our w ork specically addresses the con v ersion of this aquifer’ s high-pressure and high-temperature w ater reserv es into electrical po wer , a resource that has not been fully e xploited in the El Oued re gion in the Algerian Sahara. The study focuses on: Design and implementation: De v eloping a turbine-generator system to con v ert the aquifer’ s h ydraulic ener gy into electricity; Int J Po w Elec & Dri Syst, V ol. 16, No. 3, September 2025: 1881–1896 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 1883 Ener gy output and nancial g ains: Achie ving an a v erage annual ener gy output of 1,804,560 kWh, with a nancial g ain of 345,888,600 DZD per year due to ener gy sa vings; T echnology selection: Justifying the use of a Francis turbine for its high ef cienc y (90%-95%); Simulation and v alidation: Simulating the system using MA TLAB-Simulink to demonstrate its rob ustness and ef fecti v eness in managing electrical netw ork parameters; and Economic feasibility: Conduct an economic analysis to conrm the high return on in v estment and v alidate the feasibility of utilizing the aquifer as a strate gic clean ener gy resource. 2. MA TERIALS AND METHODS 2.1. The study ar ea and data sour ce description The Albien aquifer is located lar gely in the Algerian Sahara and is the lar gest freshw ater reserv e in the w orld, see Figure 1. Co v ers an area of 650,000 km² [18]. Groundw ater reserv es include shallo w aquifers, typically under 100 meters deep, which a re rechar ged by surf ace w ater , rain, or w aste w ater . Ho we v er , high salinity limits their agricultural use. The Albian aquifer , spanning o v er a million km² beneath Algeria, T unisia, and Libya, holds approximately 31,000 billion of w ater . In El Oued, four Albian wells supply a demineralization plant with a capacity of 30,000 per day , processing w ater at a o w rate of 540 m³/hour and a pressure of around 5 bar . These reserv es are crucial for re gional w ater supply and management. These wells act as pumps with a well-dened operating point, see Figure 2(a). Figure 2(b) displays the components of h ydroelectric plants. The operational process of a h ydroelectric po wer plant consists of four primary phases: Phase 1: W ater is channeled through conduits kno wn as forced dri ving, b uilding up signicant pressure; Phase 2: The po werful o wer spins the turbines within the generator , con v erting kinetic ener gy to electrical; Phase 3: The generated electricity is then passed through a transformer to increase it to a high-v oltage current; and Phase 4: The high v oltage electricity is then fed into the po wer grid for distrib ution to metropolitan areas. 2.2. T echnical importance of the Francis turbine and theor etical calculations The search for technically secure and economically viable solutions for the e xploitation of h ydraulic sites has led, o v er the years, to a small number of types of turbines [28]. Each of these types has a preferred eld of a p pl ication. W ithout mentioning mini-h ydraulics, whose selection criteria are based on other foundations, we distinguish three f amilies of turbines for the generation of industrial h ydroelectric po wer [29]. T able 1 pro vides another assessment of the dif ferences between the main types of turbines. Another k e y f actor in selecting the appropriate turbine type is the specic speed. This parameter represents the rotational speed in re v olutions per minut e (rpm) of a turbine operating under a unit head and generating a unit of po wer output. Impulse turbines typically ha v e lo w specic speeds, Francis turbines f all in the medium range, and propeller or Kaplan turbines e xhibit hi gh specic speeds. The speci c speed of a turbine can be calculated using (1) [30], [31]. n q = n · Q 1 / 2 E 3 / 4 (1) Where, n = 60 · f p and E = g · H ; with: n is the rotational speed of the turbi n e in (rpm); Q is the o w in (m³/s); f is the frequenc y of the electri c system in (Hz); p is the number of pairs of poles of the trubine generator; E is the specic h ydraulic ener gy of the machine in (J/kg); g is the gra vitational constant in (m/s²); H is the net head in (m). The range of head is a critical f actor in selecting the appropriate turbine for a specic site, as it directly inuences the turbine’ s performance and ef cienc y . T able 2 represents the range of operating heads for dif ferent types of turbine used in the generation of h ydroelectric po wer . T able 2 pro vides a criterion for estimating a suitable turbine for a h ydroelectric project based on the net head, which is the height of standing w ater a v ailable for po wer production. Impr o ving electrical ener gy ef ciency thr ough hydr oelectric power and ... (Khaled Miloudi) Evaluation Warning : The document was created with Spire.PDF for Python.
1884 ISSN: 2088-8694 Figure 1. Location of the aquifer’ s e xistence in Algeria (a) (b) Figure 2. Components and operational phases of h ydroelectric po wer plants: (a) Albian drilling in El Oued (T ouggourt road) and (b) w orking principle of h ydroelectric po wer plant Int J Po w Elec & Dri Syst, V ol. 16, No. 3, September 2025: 1881–1896 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 1885 T able 1. Comparison for the three main types of turbines [29] P arameter Francis Pelton Kaplan Specic speed (rpm) 30 to 400 3 to 36 300 to 1000 Drop height (m) 15 to 300 100 to 1000 2 to 30 Po wer up to (MW) 15 15 15 Ef cienc y (%) 94 93 94 T able 2. Range of head [32] T urbine type T ypical range of heads ( H = head in m ) Kaplan and Propeller 2 < H < 40 Francis 25 < H < 350 Pelton 50 < H < 1300 2.3. Choice of a supplier F ollo wing our online research and re vie w of potential turbine suppliers, we eng aged with a Chinese supplier . After sharing our requirements, the y suggested that a Francis turbine with 200 kW type HLA550-WJ-45 capacity w ould be the most suitable for our needs, particularly for dri ving the cooling to wer machines which ha v e a com bined po wer of 150 kW . The technical specications for both the generator and the turbine, including accessories, along with the purchase price in US dollars, are listed in T ables 3 and 4. 2.4. The curr ent generator Once in motion, the turbi ne dri v es the current generator , which transforms the mechanical ener gy a v ailable on the shaft into electrical ener gy . The frequenc y of the current generator is a multiple of the number of re v olutions of the dri v e shaft. The generator is separated from the turbine by a special shield that protects it from an y contact with w ater . The choice of generator essentially depends on the use of the ener gy produced. 2.5. Mechanical po wer The mechanical po wer generated by the turbine can be calculated using (2). Where P mec is the mechanical po wer of the turbine shaft (W), W : W ork done (J), t is the time duration (s), F is the force applied on the turbine blades (N), l is the distance mo v ed by the force (m), v is the v e locity of the turbine blades (m/s), w is the angular v elocity of the turbine shaft (rad/s), R is the radius of the turbine (m), C is the torque e x erted on the turbine shaft (N·m). P mec = W t = F · l t = F · v = w · F · R = w · C (2) 2.6. Electric po wer Electrical po wer is the po wer directly a v ailable at the generator output. It is obtained from the v oltage, current, and po wer f actor pro vided by the manuf acturer , as well as the e xploitable potential (h ydraulic po wer) and the ef ciencies of the turbine and generator . P el ec = η t g .Q.ρ.E (3) Where P el ec is the electrical po wer , η t is the turbine ef cienc y at o w Q , η g is the generator ef cienc y , ρ is the density of w ater (kg/m³). The actual po wer output of a small h ydroelectric plant for a gi v en o w rate Q is obtained from (4). P T = Z P el ec · dt P T = η t g .Q.ρ.g .H Z dV (4) Where P T is the total electrical ener gy generated (J), g is the acceleration due to gra vity (m/s²), H is the net head or height dif ference of w ater (m), dV is the dif ferential v olume of w ater (m³). Impr o ving electrical ener gy ef ciency thr ough hydr oelectric power and ... (Khaled Miloudi) Evaluation Warning : The document was created with Spire.PDF for Python.
1886 ISSN: 2088-8694 T able 3. 200 kW h ydro turbine generator quotation sheet Name Unit price (USD) Quantity Picture Hydro turbine HLA550-WJ-45 1 set 21,700 Generator SFW200-6/650 11,590 1 set Go v ernor YWT -300 (Microcomputer) 7,930 1 set Electric g ate v alv e Z945T -10DN350 2,170 1 set Generator inte grated protection screen PKF-W -200/400 5,070 2 units Int J Po w Elec & Dri Syst, V ol. 16, No. 3, September 2025: 1881–1896 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 1887 T able 4. Conguration list of h ydroelectric po wer plant P arameters Description V alue Basic Design head H r (m) 50 Maximum head H max (m) Minimum head H min (m) Design dischar ge Q (m³/s) 0.5 Installed capacity N (kW) 200 Altitude (m) T urbine T urbine type HLA550-WJ-45 Layout pattern Horizontal Runner diameter D l (cm) 45 Unit speed n 11 (r/min) 63.6 Unit dischar ge Q 11 (L/s) 349 Model ef cienc y (design point) η m (%) 92.7 Prototype ef cienc y η t (%) 88 Max. model ef cienc y η t (%) 92.7 Rated speed n (r/min) 1000 Rated output P (kW) 215.8 Max. axial h ydraulic thrust P Z (T) 1 Ca vitation coef cient σ 0.055 Runa w ay speed n R (r/min) 1752 W eight of runner (t) 2 T urbine weight (t) 0.02 Max. hoisting piece (T urbine) (t) 3 Generator generator type SFW200-6/650 Layout pattern Horizontal Rated po wer P (kW) 200 Rated v oltage V (V) 400 Rated current I (A) 360.9 Po wer f actor cos ϕ 0.8 (lagging) Excitation v oltage (V) 40 Excitation current (A) 116 Generator ef cienc y η g (%) 93 Generator speed n (r/min) 1000 Number of phases 3 Frequenc y f (Hz) 50 Insulation class F/F Excitation mode Brushless e xciter Generator weight (t) 3 Max. hoisting piece (generator) (t) 3 2.7. Calculation of h ydr oelectric po wer of a turbine T o calculate the po wer output of a h ydroelectric turbine, the basic formula is gi v en by (5). P hy d = ρ.Q.g .H (5) Where: ρ : densi ty of w ater (kg/m³), Q : w ater o w rate in the pipeline (m³/s), g : Ne wton’ s gra vitational constant (m/s²), H : W aterf all height (m), η : ef cienc y ratio (typically between 0.7 and 0.9). 2.8. Efciency The Francis turbine is highly ef cient, achie ving performance le v els of 90 % to 95 % . Its e xceptional ef cienc y is due to the blade design that utilizes both reaction and impulse forces from o wing w ater . The quality of the turbine is measured by its ef cienc y η t , which indicates the ratio between tw o po wers. η t = P mec P hy d (6) Where P hy d is h ydraulic po wer . The ef cienc y of the generator also tak es the same form, as (7). η g = P el ec P mec (7) Impr o ving electrical ener gy ef ciency thr ough hydr oelectric power and ... (Khaled Miloudi) Evaluation Warning : The document was created with Spire.PDF for Python.
1888 ISSN: 2088-8694 Ho we v er , it is common to consider an o v erall ef cienc y of the turbine-generator set, which is as (8). η T = P el ec P hy d = P el ec P mec P mec P hy d = η t g (8) This o v erall ef cienc y v aries between 0.7 and 0.9, depending on the type of turbine and generator used. The electrical ener gy produced o v er one year is the main f actor in determining the protability of the w ork. 2.9. Calculation of h ydr oelectric ener gy pr oduction of a turbine W e will apply the parameters we ha v e to calculate the e xploitable po wer . W ater ener gy potential: if we tak e the data we ha v e for the 04 wells: o w rate: 0.5 m³/s, pipeline diameter: 630 cm, pipe line section: 28.2743 m², gra vitational constant: 9.81 m/s², w aterf all height: 50 m, and density: 1000 kg/m³ (typically 1000 kg/m³ for w ater). After applying as (8), we obtain the maximum po wer before losses: 245 kW . Ef cienc y losses and actual electrical ener gy a v ailable at the turbine outlet: after obtaining the electrical and mechanical ef ciencies of the plant from a manuf acturer , which are: turbine ef cienc y: 92 % , head loss coef cient: 95 % ;, other losses: 98 % , and o v erall ef cienc y: 81 % . W e ha v e found that the useful electrical po wer is: 206 kW . 2.10. Effects of turbine integration on the functioning of the water demineralization plant The w ater emer ges from the well under pressure ranging from 10 to 30 bars and at a temperature between 40 °C and 80 °C. Then it tra v els through transfer pipes to the top of the cooling to wer , as sho wn in Figure 3(a). Despite its ab undance, w ater is not suitable for immediate human consumption because of its high temperature. The w ater then passes through openings in the cool er and is cooled to 25 °C at the t op of the cooling to wer by forced v entilation, which promotes heat transfer through e v aporation. This cooling process in v olv es dispersing the w ater into ne droplets on metal s lats. As atmospheric air comes into contact with w ater , it absorbs heat and changes from ambient humidity le v els to near saturation by e v aporating a portion of the w ater intended for cooling, as depicted in Figure 3(b). Since the cooling process in v olv es forced v entilation, the e xtraction of hot and humid air is carried out by means of an e xtractor f an with a diameter of 5 meters Figure 3(c), which requires a motor with a po wer of 75 kW operating at 380 V Figure 3(d). T able 5 pro vides detailed characteristics of the electric motor used in the h ydroelectric po wer system described in the study . (a) (b) (c) (d) Figure 3. Enhancing cooling ef cienc y and w ater quality: (a) w ater outlet at the cooler , (b) pipeline for con v e ying well w ater , (c) cooler hot air e xtractor , and (d) motor used at cooling to wer top Int J Po w Elec & Dri Syst, V ol. 16, No. 3, September 2025: 1881–1896 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 1889 T able 5. Motor characteristics T ype V alue Picture Motor size/service f actor 280 M4 / 1.1 Number of poles 4 Instantaneous unit po wer 75 kW Instantaneous module po wer 75 kW T otal instantaneous po wer 150 kW Absorbed unit po wer 67.5 kW Absorbed module po wer 67.5 kW T otal absorbed po wer 135 kW Speed 1440 Rpm V oltage/frequenc y 400/50 V olt/Hz Insulation class IP55 module Protection type F/B module Note: Electric motor type: totally enclosed f an cooled (TEFC) asynchronous 3-phase motor with special high-quality bearings (SKF type 2RSC3) lubricated for life and are totally w atertight 2.11. Rotational speed of the turbine-generator gr oup The rotation speeds of synchronous generators v ary depending on the number of poles the y ha v e: 1 pair of poles (n = 3000 rpm), 2 pairs of poles (n = 1500 rpm), 3 pairs of poles (n = 1000 rpm), 4 pairs of poles (n = 750 rpm), 5 pairs of poles (n = 600 rpm), and 6 pairs of poles (n = 500 rpm). In practice, the maximum speed is limited to 1500 rpm (2 pole pairs) to account for o v erspeed during run-up. Exceeding this speed can cause signicant mechanical stress. As a result, generators with a single pole pair are rarely installed (run-up speed of 6000 rpm). Belo w 6000 rpm (6 pole pairs or more), the size of the generator , and thus its cost relati v e to the installed po wer , increases, while ef cienc y decreases due to increased losses, particularly magnetic losses. When the turbine rotation speed is belo w 600 rpm, it typically dri v es a lo w-pole generator (1000 or 1500 rpm) through a belt dri v e or a gear multiplier , for e xample. 2.12. Consequences of turbine integration Inte grating turbines into the system in v olv es installing turbine-generator units on the cooling t o wer’ s roof, which requires modications to the e xisting pipeline to maintain adequate pressure upstream. A shut-of f v alv e and a bypass v alv e are essential at the turbine inlet. This inte gration capitalizes on the syner gy between h ydraulics and mechanics, allo wing the utilization of pre viously w asted ener gy . Before inte gration, the w ater e xited at high pressure, passed through the pipeline, and ended up at atmospheric pressure, resulting in ener gy loss. After turbine installation, e v en minimal ener gy is harnessed, making it cost-ef fecti v e o v er time. The h ydroelectric plant can reco v er all the ener gy needed to operate the tw o 75 kW cooling to wer m o t ors, with the selected turbine rated at 200 kW . 2.13. Economic considerations Hydroelectric ener gy production and nancial g ain: W e can esti mate the g ain that can be achie v ed after one year of operation of the po wer plant as sho wn: The a v er age annual ener gy production of the h ydroelectric turbine is estimated at 1,804,560 kWh, which translates to a total nancial g ain o f 345,888,600 DZD/year based on an ener gy cost of 265 DZD per kW sa v ed. Furthermore, we ha v e included a breakdo wn of the initial in v estment required for the po wer plant, which is approximately 7,200,000 DZD. This analysis highlights the potential for signicant long-term sa vings, as the return on in v estment is projected to be achie v ed within a fe w years of operation, considering the high ef cienc y of the selected Francis turbine, which operates at an ef cienc y rate of 92%. Furthermore, we discuss the implications of reduced operational costs due to the inte gration of the turbine-generator system, which allo ws the reco v ery of ener gy that w ould otherwise be w asted, thereby enhancing the o v erall economic viability of the project. By incorporating these detailed nancial analyses, we aim to pro vide a more rob ust economic frame w ork that supports the feasibility and sustainability of the proposed system. 2.14. Simulation setup The generator model in our study is a synchronous generator with salient poles, featuring three s tator windings, one rotor winding, and tw o damper windings. The simulation will utilize specic mathematical equations [33]-[35] that describe the relationship between the currents, v oltages, and ux es in each winding. Impr o ving electrical ener gy ef ciency thr ough hydr oelectric power and ... (Khaled Miloudi) Evaluation Warning : The document was created with Spire.PDF for Python.
1890 ISSN: 2088-8694 F ollo wing the application of the P ark transformation to these equations, the model is represented in unit form (pu), encompassing electrical v oltage and current equations, as well as mechanical equations. The quantities used at the input of a po wer system stabilizer (PSS) are generated by the rotation speed of the shaft, the frequenc y , and the po wer [36], [37]. The PSS is designed to dampen po wer oscillations, particularly in weak signal conditions, thereby enhancing stability . It w as in conjunction with the automatic v oltage re gulator (A VR) [38] by pro viding an additional input to the e xcitation system. F or the mathematical modeling of the generator to study its dynamic beha vior , the follo wing simplifying h ypotheses will be considered: Assumption 1: W e assume that the magnetic circuit is unsaturated and perfectly laminated, allo wing us to focus on the currents o wing through the windings (inductor , induced, and dampers). Assumption 2: W e will represent the complete set of dampers with tw o simplied windings: one aligned with the direct axis (d) and the other with the quadrature axis (q). The turbines are po wered by the w ater that comes from the well. Their speed re gulation system is ensured by re gulating v alv es, which play an essential role not only in re gulating the output speed and po wer of the turbine b ut also in adjusting the e xtraction pressure. The main goal is to control the output v alues of the electrical netw ork parameters (v oltage and current). The complete h ydraulic turbine–synchronous generator model represents a dynamically modeled h ydroelectric po wer plant in Simulink/MA TLAB (as sho wn in Figure 4). It enables simulation of the o v erall system and analysis of interactions between the v arious control subsystems. In Figure 4, the h ydraulic turbine con v erts the ener gy of w ater (o w rate and pressure) into mechanical ener gy , taking into account ef cienc y and losses. Pro vides mechanical torque and po wer to the generator . The synchronous generator , modeled in the P ark transformation, transforms this mechanical ener gy into electrical ener gy in the form of three-phase v oltage and acti v e/reacti v e po wer . The ST1 e xcitation system uses a PID controller to maintain a stable output v oltage, with b uilt-in protection limiters. It recei v es the reference v oltage and a signal from the po wer system stabilizer (PSS), which acts on the e xcitation to impro v e stability by damping oscillations caused by netw ork disturbances. The go v ernor re gulates the w ater o w based on the dif ference between the actual and reference speed, ensuring mechanical stability . The model displays v arious electrical v ariables (v oltage, current, ux, and po wer) and mechanical v ariables (torque and speed). Figure 4. Block diagram of the o v erall control system 2.15. V oltage r egulation in the o v erall system The h ybrid model of the synchronous machine is combined with the ST1 static e xcitation system, as standardized by IEEE and detailed in [18], [39]. T ables 6-8 pro vide the main parameters of the turbine-generator . The simulation results follo w the implementation in MA TLAB Simulink. Int J Po w Elec & Dri Syst, V ol. 16, No. 3, September 2025: 1881–1896 Evaluation Warning : The document was created with Spire.PDF for Python.