Hydroelectric Power System

This record contains the final illustrated archival monograph titled A Gravity-Based Modular Energy Generator Integrated with Water Infrastructure. The work presents a modular energy–water infrastructure concept adapted to selected hydro-topographic and rural development contexts, with particular attention to Türkiye-scale applicability, advanced pre-feasibility screening, GeoAI-supported site selection, multi-purpose lower reservoir design, and selective biomass/microalgae side-stream integration.

The monograph does not present the proposed system as a universal energy solution. Instead, it defines a product-family framework in which strong, conditional, and out-of-scope contexts are explicitly separated. The technical core is treated through a torque-based and kinematic design logic, including effective head, reliable low flow, tank cycle continuity, drum speed, gearbox ratio, line pull, differential mass, transition buffering, and fail-safe control architecture. The spatial decision layer is developed through hydrology, topography, geotechnical constraints, environmental conditions, grid/access indicators, AHP/MCDA scoring, Random Forest audit logic, uncertainty correction, and pilot-site validation.

The lower reservoir is treated as a multi-purpose rural water-infrastructure node rather than a passive discharge basin. It is structured around hydraulic damping, sedimentation, service-water allocation, fire reserve, agricultural and livestock support, controlled return-to-nature logic, selective recreation, and limited aquaculture where appropriate. A selective microalgae/biomass side-stream is also discussed as an optional environmental and innovation layer, not as the primary energy basis of the system.

The uploaded files include the final illustrated monograph, an editable DOCX source version, an executive summary, and a chapter-based visual portfolio. The work is intended for Zenodo archiving, institutional presentation, academic discussion, pilot preparation, and future technical refinement. It should be read as an advanced conceptual and pre-feasibility technical monograph rather than a final engineering design, tender file, or investment decision document.

License License: CC BY-NC-SA 4.0. This page has been inserted as front matter so that the original executive-summary layout, figures, captions, and body text remain unchanged. The same DOI and license statement has also been added to the running header throughout the PDF.

Resumen: El decreto de extinción en octubre del 2009 de la empresa paraestatal en México Luz y Fuerza del Centro, llevó a su sindicato, el Sindicato Mexicano de Electricistas (SME) y a la población de Necaxa, cuna de esta empresa en 1903, a crear una resistencia social, sin precedentes en México. A partir de la reorganización de su memoria colectiva y de la resistencia pacífica, los pobladores de Necaxa llevaron a cabo acciones que los mantuvieron por seis años en resistencia hasta el nacimiento de la cooperativa Fénix como la nueva generadora de energía eléctrica en el complejo hidroeléctrico de Necaxa, que ahora se encuentra nuevamente en manos de los trabajadores. Esta resistencia se fortaleció con el apoyo de la población y con un discurso de recuperación de la memoria histórica, como “herederos del patrimonio industrial de Necaxa, así como del ingeniero que impulsó su creación, Fred Stark Pearson”. Este trabajo muestra los hechos ocurridos en estos años en Necaxa, sus acciones ...

The goal of this study was to demonstrate how to use resources better inside a company and improve the ability to use and make the most of minerals. In this research, we aim to show a new way to clean petrochemical wastewater. This bentonite sample went through a production process in a microwave using Nano Precision to make a long chain of detergents. It was then mixed with an organic material (dimethyl octadecyl ammonium chloride) to make it work better. At the start of the tests, MINITAB software and the Taguchi method were used to analyze the data. The samples were taken at different times, and then they were tested using a standard method. There are 5 things that affect how clear water is: turbidity, TSS, TDS, pH, and COD. These things changed over time, depending on what was in the water. The amount of COD in the wastewater is very important. The wastewater from making chemicals from oil was checked, and the amount was noted. 16 ppm. Furthermore, the material a (changed bentonite) had the highest murkiness level of 1.2 NTU when 10mg per liter of sludge was used. Because the country needed to improve how it treated wastewater to protect the environment, this paper tried to make bentonite better and use nanotechnology to help with this.

The operating system of a reservoir is a significant contributor to its success in water resources management. For a multipurpose reservoir, an ideal operating system determines output characteristics that take account of all objectives. In this study, a new model to optimize Darbandikhan reservoir system operation in Iraq is proposed, based on a fuzzy logic controller. The aim of the new system is to maximize hydropower production while satisfying all downstream water demands. The proposal was tested on flow and other data in 324 monthly time steps, from January 1992 to December 2018, using a simulation model based on the Simulink technique of MATLAB software. Trial and error showed that membership functions of the Gaussian shape were most appropriate. For comparison purposes, Discrete Differential Dynamic Programming (DDDP), Nonlinear Programming (NLP) and Linear Programming (LP) optimization models were developed and applied to operate the reservoir. The results for turbine operation show that, relative to actual power produced, average monthly hydropower generation is increased by 32.2% (fuzzy logic), 51.4% (DDDP), 29.3% (NLP), 27.4% (LP). Although the dynamic programming method generated more hydropower, the fuzzy logic controller avoided complex optimization procedures, making it more flexible and more acceptable to operators. Moreover, the fuzzy approach provides an opportunity for reservoir operators to develop and apply more convenient operating rules, which in itself is a valuable alternative to conventional optimization techniques.

The flow duration curve (FDC) of a riveris one of the important parameters for the hydrological investigation of hydroelectric plants. Computation of the hydroelectric plant capacity and power production requires the determination of relative and cumulative frequenciesof different river discharges. Ab-Terki is one of the sub-basins of Bazoft River, located in Chaharmahal and Bakhtiari province, Iran, next to Koohrang basin. It is located between eastern longitudes of 49ᵒ54' to 50ᵒ 5' and northern latitudes of 32ᵒ 19' to 32ᵒ 24'. Morphological conditions, sloping limestone structures, and characteristics of karstic cracks in the basin have led to the formation of large springs in the eastern and western foothills of Zardkooh Mountain. In order to determine the FDCs of Ab-Terki River,3-year daily discharge and 24-year mean monthly discharge of Gooshe-pol station were used. Then, the probabilities of discharges were analyzed using Hyfa and Rank Plot numerical codes and finally, the discharge of Ab-Terki River corresponding to 95% probability was determined.

1 Department of Natural Resources Engineering, Isfahan University of Technology, Isfahan, Iran. 2 Department of Water Engineering, Isfahan University of Technology, Isfahan, Iran. 3* Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran. (Corresponding Author) 4 Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, Texas 77843-2117, U.S.A. 5 Laboratory of Hydrology, Department of Civil Engineering, University of Thessaly, Volos, Greece & Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, Athens, Greece.

The operating system of a reservoir is a significant contributor to its success in water resources management. For a multipurpose reservoir, an ideal operating system determines output characteristics that take account of all objectives. In this study, a new model to optimize Darbandikhan reservoir system operation in Iraq is proposed, based on a fuzzy logic controller. The aim of the new system is to maximize hydropower production while satisfying all downstream water demands. The proposal was tested on flow and other data in 324 monthly time steps, from January 1992 to December 2018, using a simulation model based on the Simulink technique of MATLAB software. Trial and error showed that membership functions of the Gaussian shape were most appropriate. For comparison purposes, Discrete Differential Dynamic Programming (DDDP), Nonlinear Programming (NLP) and Linear Programming (LP) optimization models were developed and applied to operate the reservoir. The results for turbine operation show that, relative to actual power produced, average monthly hydropower generation is increased by 32.2% (fuzzy logic), 51.4% (DDDP), 29.3% (NLP), 27.4% (LP). Although the dynamic programming method generated more hydropower, the fuzzy logic controller avoided complex optimization procedures, making it more flexible and more acceptable to operators. Moreover, the fuzzy approach provides an opportunity for reservoir operators to develop and apply more convenient operating rules, which in itself is a valuable alternative to conventional optimization techniques.

Statistical distributions can be used for data development in shortage data situations, as in many parts of Iran station. The aims of this study are to select the best frequency distribution to estimate average annual precipitation and assess the effects of data length on the selection of suitable distribution. Therefore 65 stations data of Mazandaran and Golestan provinces were analyzed. Relative residual mean square (RMS) was used to determine the best fitted distribution to any annual series and precipitation was estimated for different return periods. Relative frequency of first classes of fitted distributions showed that normal and Pearson distributions fitness decreased and Gumbel distribution had more fitness with data series by increasing statistical period length. The best-fitted distribution is Pearson with 15-year data; log Pearson for 20, 25 and 30-year periods. Based on Moment method and total given scores, two-parameter normal distribution has the best fitness in all statistical periods.

The flow duration curve (FDC) of a riveris one of the important parameters for the hydrological investigation of hydroelectric plants. Computation of the hydroelectric plant capacity and power production requires the determination of relative and cumulative frequenciesof different river discharges. Ab-Terki is one of the sub-basins of Bazoft River, located in Chaharmahal and Bakhtiari province, Iran, next to Koohrang basin. It is located between eastern longitudes of 49ᵒ54' to 50ᵒ 5' and northern latitudes of 32ᵒ 19' to 32ᵒ 24'. Morphological conditions, sloping limestone structures, and characteristics of karstic cracks in the basin have led to the formation of large springs in the eastern and western foothills of Zardkooh Mountain. In order to determine the FDCs of Ab-Terki River,3-year daily discharge and 24-year mean monthly discharge of Gooshe-pol station were used. Then, the probabilities of discharges were analyzed using Hyfa and Rank Plot numerical codes and finally, the discharge of Ab-Terki River corresponding to 95% probability was determined.

The new theoretical approaches about cultural landscapes have pointed out its value for historical recovering and for the knowledge of the evolution of territories. The cultural landscape, as theoretical tool is can show the identity signs and explain as a place that keeps the memory of a society and a community that still is living it. In this sense, the territory shaped by cultural elements is like a social mirror that reflects the way the society has built itself. Nevertheless, the consequences of the newly environmental crisis, the limits of governance in several regions, and the predator interests of capitalists are limiting this theoretical role of landscape. The analysis of Necaxa hydroelectric system in Puebla State, Mexico, as a cultural landscape is a good example of this kind of controversies.

The new theoretical approaches about cultural landscapes have pointed out its value for historical recovering and for the knowledge of the evolution of territories. The cultural landscape, as theoretical tool is can show the identity signs and explain as a place that keeps the memory of a society and a community that still is living it. In this sense, the territory shaped by cultural elements is like a social mirror that reflects the way the society has built itself. Nevertheless, the consequences of the newly environmental crisis, the limits of governance in several regions, and the predator interests of capitalists are limiting this theoretical role of landscape. The analysis of Necaxa hydroelectric system in Puebla State, Mexico, as a cultural landscape is a good example of this kind of controversies.

The operating system of a reservoir is a significant contributor to its success in water resources management. For a multipurpose reservoir, an ideal operating system determines output characteristics that take account of all objectives. In this study, a new model to optimize Darbandikhan reservoir system operation in Iraq is proposed, based on a fuzzy logic controller. The aim of the new system is to maximize hydropower production while satisfying all downstream water demands. The proposal was tested on flow and other data in 324 monthly time steps, from January 1992 to December 2018, using a simulation model based on the Simulink technique of MATLAB software. Trial and error showed that membership functions of the Gaussian shape were most appropriate. For comparison purposes, Discrete Differential Dynamic Programming (DDDP), Nonlinear Programming (NLP) and Linear Programming (LP) optimization models were developed and applied to operate the reservoir. The results for turbine operation show that, relative to actual power produced, average monthly hydropower generation is increased by 32.2% (fuzzy logic), 51.4% (DDDP), 29.3% (NLP), 27.4% (LP). Although the dynamic programming method generated more hydropower, the fuzzy logic controller avoided complex optimization procedures, making it more flexible and more acceptable to operators. Moreover, the fuzzy approach provides an opportunity for reservoir operators to develop and apply more convenient operating rules, which in itself is a valuable alternative to conventional optimization techniques.

A review of application of various optimization techniques to operation of multi-reservoir systems has been presented. Operation of reservoirs, often for conflicting purposes, is a daunting task. . The solution to the problem is difficult because of the large number of variables involved, the non-linearity of system dynamics, the stochastic nature of future inflows, and other uncertainties of the system. The uncertainty associated with reservoir operations is further increased due to the ongoing hydrological impacts of climate change. Traditionally, reservoir systems operation has been carried out using optimization techniques such as linear programming and dynamic programming. Linear programming cannot be applied when either the objective function or the constraints become non-linear. Dynamic programming, however, becomes computationally bounded on problems of moderate size and complexity. Therefore, various artificial intelligence techniques such as genetic algorithms, ant-colony optimization, and fuzzy logic are increasingly being employed to solve multi-reservoir operation problems. A large number of application of traditional as well as artificial intelligence techniques have been described in the present paper.

The new theoretical approaches about cultural landscapes have pointed out its value for historical recovering and for the knowledge of the evolution of territories. The cultural landscape, as theoretical tool is can show the identity signs and explain as a place that keeps the memory of a society and a community that still is living it. In this sense, the territory shaped by cultural elements is like a social mirror that reflects the way the society has built itself. Nevertheless, the consequences of the newly environmental crisis, the limits of governance in several regions, and the predator interests of capitalists are limiting this theoretical role of landscape. The analysis of Necaxa hydroelectric system in Puebla State, Mexico, as a cultural landscape is a good example of this kind of controversies.

Hydroelectric dams are the world's largest source of renewable electricity. But they are not necessarily green. They can upend ecosystems, displace wildlife and people, cause local droughts, and even emit greenhouse gases. Besides, they are expensive to build and can only be built in locations with the right geology. Researchers now propose a unique idea that could get around these issues: using electric trucks as an alternative to dams. The cost of an electric truck hydropower system would turn out to be about half that of conventional hydropower, they say in a study published in the journal Energy. So how do trucks replace dams? Dams are built across rivers, forming reservoirs behind them. When water flows down through the dam gates, the potential energy that's stored in the reservoirs becomes mechanical energy that is used to spin turbines, which generate electricity. The new idea "consists of using an electric truck to transport water down a mountain and transform the potential energy in the water into electricity to change the trucks battery," says Julian Hunt of the International Institute of Applied Systems Analysis in Austria, who led the new study.

Evolutionary Algorithms (EAs) have been used widely through evolution theory to discover acceptable solutions that corresponds to challenges such as natural resources management. EAs are also used to solve varied problems in the real world. EAs have been rapidly identified for its ease in handling multiple objective problems. Reservoir operations is a vital and researchable area which has been studied in the last few decades due to the limited nature of water resources that is found mostly in the semi-arid regions of the world. The state of some developing economy that depends on electricity for overall development through hydropower production, a renewable form of energy, is appalling due to water scarcity. This paper presents a review of the applications of evolutionary algorithms to reservoir operation for hydropower production. This review includes the discussion on areas such as genetic algorithm, differential evolution, and reservoir operation. It also identified the research ...

Understanding the variations of streamflow of rivers is an important prerequisite for designing hydraulic structures as well as managing surface water resources in basins. An overview of the impact of climate change on the streamflow in the Hablehroud River, the main river of a semi-arid basin in north-central Iran, is provided. Using the LARS-WG statistical downscaling model, the outputs of HadCM3 general circulation model under the IPCC SRES A1B, A2, and B1 emission scenarios were downscaled to a finer spatial scale and the daily precipitation and temperature time series over the period of 2011-2030 for the study area were obtained. Results showed that the study area would experience a decline in precipitation (8.2% on average). The IHACRES rainfall-runoff model was then calibrated in the study area. Based on the fit statistics in calibration and validation phases, the overall performance of the developed model was judged to be satisfactory. The calibrated hydrological model was d...

A mixed integer optimization model is formulated for capacity optimization of a hydropower storage project with control on reliability of meeting the project's firm energy yield. Particle swarm optimization (PSO) is used as the optimization algorithm, in which the method of sequential streamflow routing is called for objective function evaluations. Two types of problems are studied. The first one is an optimal design problem, in which the reservoir's normal and minimum operating levels as well as the powerplant's production capacity are optimized while reservoir releases are determined using a predefined operating policy. Two models are presented for this problem. In the first one (model A1), the normal and minimum operating levels are considered as the PSO decision variables, whereas the production capacity is iteratively adjusted in the simulation model. In the second model (model A2), the production capacity is also searched for by the PSO and the reliability constrai...

Khaled Osati (Corresponding author) Watershed Management, University of Tehran and member of Young Researchers Club of Kurdistan, Karaj, Iran Tel: 98-935-862-6454 E-mail: [email protected] ... Sayed Ali Naghi Sadeghi Combating desertification ...

Generation scheduling of cascaded hydropower plants at same stream of river is imperative to harness river water energy in an optimal manner. Along with hydropower, multipurpose hydropower plants are also fulfilling irrigation requirement of nearby zones. Irrigation requirements from immediate plants, natural inflows from tributaries and evaporation losses between successive reservoirs affects water levels in both reservoirs and operating heads. In this paper all of the above factors are included in water continuity equations for optimization problem formulation of a real operated cascaded hydroelectric system located on the Narmada river in Madhya Pradesh, India. Time Varying Acceleration Coefficients PSO (TVAC_PSO) have been used to determine the optimal generation schedule of the above system. The results obtained are compared with Novel Self Adaptive Inertia Weight PSO (NSAIW_PSO), and are found to give a better solution.

The flow duration curve (FDC) of a riveris one of the important parameters for the hydrological investigation of hydroelectric plants. Computation of the hydroelectric plant capacity and power production requires the determination of relative and cumulative frequenciesof different river discharges. Ab-Terki is one of the sub-basins of Bazoft River, located in Chaharmahal and Bakhtiari province, Iran, next to Koohrang basin. It is located between eastern longitudes of 49ᵒ54' to 50ᵒ 5' and northern latitudes of 32ᵒ 19' to 32ᵒ 24'. Morphological conditions, sloping limestone structures, and characteristics of karstic cracks in the basin have led to the formation of large springs in the eastern and western foothills of Zardkooh Mountain. In order to determine the FDCs of Ab-Terki River,3-year daily discharge and 24-year mean monthly discharge of Gooshe-pol station were used. Then, the probabilities of discharges were analyzed using Hyfa and Rank Plot numerical codes and finally, the discharge of Ab-Terki River corresponding to 95% probability was determined.