The document discusses developing a formula to assign a water value to hydroelectric generation reservoirs that accounts for various factors.
The proposed formula assigns a water value as a complex number, with the real part representing present water availability and the imaginary part representing future water availability. It aims to make the water value inversely proportional to present storage and future inflow.
The formula is designed to generate a contour graph with characteristics including inversely proportional relationships between water value and both present storage and future availability. It also aims to reduce the effect of future inflows on water value as present storage decreases.
This document proposes a dimensionless index to evaluate the time complementarity between solar and hydraulic (hydroelectric) energy sources. It defines complementarity as the ability of two energy sources to have availability that is complementary over time. A perfect complementarity would have equal average availabilities, maximums and minimums that are half a period out of phase. The paper presents the development of a numerical index between 0-1 that evaluates three components: the phase difference between availabilities, the relationship between average availabilities, and the relationship between amplitude variations. It then applies this index to solar and hydroelectric availability data from Rio Grande do Sul, Brazil to produce maps of their complementarity.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from plots of streaming potential ratios vs. water saturation and capillary pressure vs. water saturation. Higher fractal dimensions correlated with increased permeability and were found in upper reservoir units compared to lower units. The fractal dimension analysis helps divide the reservoirs into three units and assess their heterogeneity and quality.
Presentation at the conference Greenmetrics 2016 of the paper "Geographical Load Balancing across Green Datacenters: a Mean Field Analysis" (authors G. Neglia, M. Sereno, G. Bianchi)
This study investigated biodiesel production from waste cooking oil using computational fluid dynamics (CFD) modeling and experimental testing in a 2 liter stirred tank reactor. Particle image velocimetry was used to experimentally obtain hydrodynamic effects for the CFD model. Three turbulent models were evaluated in the CFD simulation. Experimental transesterification reactions were guided by a Taguchi design, investigating the effects of impeller type, speed, temperature, and clearance. A maximum biodiesel yield of 94.5% was achieved using a mixed flow impeller. Fluid dynamics studies revealed higher mean velocities and mass transfer rates for the mixed flow impeller compared to the radial impeller. The Reynolds stress model in CFD agreed best with
This document discusses the use of Monte Carlo simulation for geothermal resource assessment and risk evaluation. Monte Carlo simulation is a numerical modeling technique that uses random sampling to account for uncertainty in reservoir parameters. It allows for a probabilistic estimation of reserves rather than a single deterministic value. The results can quantify the potential range and risk associated with proven, probable, and possible reserves. Guidelines are proposed for classifying reserves based on the level of uncertainty and data available from exploration and production activities.
The document proposes using joint inversion of real and presumed data to analyze the predictive certainty of groundwater flow models. This combines historical aquifer data with presumed data about alternative conceptual models or potential changes. Parameter values are estimated that balance fitting both data types. If the presumed data is also well-fit, the alternative model or changes are considered compatible with available information. A case study applies this to test if a presumed window in a confining layer is consistent with historical head and drawdown measurements from pumping tests and river stages. While the presumed window improved the model fit, drawdown data suggested the model was biased, so the existence of the window was not conclusively refuted.
This document summarizes a study that used a coupled wave and tidal flow model to assess marine energy resources in the Orkney Islands and Pentland Firth region of Scotland. The model was calibrated and validated against measurement data from buoys and acoustic Doppler current profilers. Model results for current velocity at different depths correlated well with measurement data from three sites. The coupled model provides a tool for assessing the combined wave and tidal energy resources in the region.
This chapter discusses different types of flows through soils, including water, heat, electricity, and chemicals. It focuses on describing these flows, quantifying flow rates and how they change over time, and how the flows impact soil properties. Water flow is most extensively studied due to its importance for problems involving seepage, consolidation, and stability. Darcy's law describes water flow and relates flow rate to hydraulic conductivity, a soil-specific property that can vary significantly between soil types and even within a given soil deposit. The chapter reviews the physics of different flow types and coupled flows, and how flow rates relate to driving forces based on various flow laws. It also evaluates parameters that influence flow and their typical ranges of values.
This document proposes a dimensionless index to evaluate the time complementarity between solar and hydraulic (hydroelectric) energy sources. It defines complementarity as the ability of two energy sources to have availability that is complementary over time. A perfect complementarity would have equal average availabilities, maximums and minimums that are half a period out of phase. The paper presents the development of a numerical index between 0-1 that evaluates three components: the phase difference between availabilities, the relationship between average availabilities, and the relationship between amplitude variations. It then applies this index to solar and hydroelectric availability data from Rio Grande do Sul, Brazil to produce maps of their complementarity.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from plots of streaming potential ratios vs. water saturation and capillary pressure vs. water saturation. Higher fractal dimensions correlated with increased permeability and were found in upper reservoir units compared to lower units. The fractal dimension analysis helps divide the reservoirs into three units and assess their heterogeneity and quality.
Presentation at the conference Greenmetrics 2016 of the paper "Geographical Load Balancing across Green Datacenters: a Mean Field Analysis" (authors G. Neglia, M. Sereno, G. Bianchi)
This study investigated biodiesel production from waste cooking oil using computational fluid dynamics (CFD) modeling and experimental testing in a 2 liter stirred tank reactor. Particle image velocimetry was used to experimentally obtain hydrodynamic effects for the CFD model. Three turbulent models were evaluated in the CFD simulation. Experimental transesterification reactions were guided by a Taguchi design, investigating the effects of impeller type, speed, temperature, and clearance. A maximum biodiesel yield of 94.5% was achieved using a mixed flow impeller. Fluid dynamics studies revealed higher mean velocities and mass transfer rates for the mixed flow impeller compared to the radial impeller. The Reynolds stress model in CFD agreed best with
This document discusses the use of Monte Carlo simulation for geothermal resource assessment and risk evaluation. Monte Carlo simulation is a numerical modeling technique that uses random sampling to account for uncertainty in reservoir parameters. It allows for a probabilistic estimation of reserves rather than a single deterministic value. The results can quantify the potential range and risk associated with proven, probable, and possible reserves. Guidelines are proposed for classifying reserves based on the level of uncertainty and data available from exploration and production activities.
The document proposes using joint inversion of real and presumed data to analyze the predictive certainty of groundwater flow models. This combines historical aquifer data with presumed data about alternative conceptual models or potential changes. Parameter values are estimated that balance fitting both data types. If the presumed data is also well-fit, the alternative model or changes are considered compatible with available information. A case study applies this to test if a presumed window in a confining layer is consistent with historical head and drawdown measurements from pumping tests and river stages. While the presumed window improved the model fit, drawdown data suggested the model was biased, so the existence of the window was not conclusively refuted.
This document summarizes a study that used a coupled wave and tidal flow model to assess marine energy resources in the Orkney Islands and Pentland Firth region of Scotland. The model was calibrated and validated against measurement data from buoys and acoustic Doppler current profilers. Model results for current velocity at different depths correlated well with measurement data from three sites. The coupled model provides a tool for assessing the combined wave and tidal energy resources in the region.
This chapter discusses different types of flows through soils, including water, heat, electricity, and chemicals. It focuses on describing these flows, quantifying flow rates and how they change over time, and how the flows impact soil properties. Water flow is most extensively studied due to its importance for problems involving seepage, consolidation, and stability. Darcy's law describes water flow and relates flow rate to hydraulic conductivity, a soil-specific property that can vary significantly between soil types and even within a given soil deposit. The chapter reviews the physics of different flow types and coupled flows, and how flow rates relate to driving forces based on various flow laws. It also evaluates parameters that influence flow and their typical ranges of values.
Gw02 role of dwlr data in groundwater resource estimationhydrologyproject0
This document discusses the role of data from Deep Well Logging Recorders (DWLRs) in estimating groundwater resources. DWLRs provide high-frequency water level data that can help understand recharge processes and parameters. Their data allows identifying accurate peaks and troughs in the water table to define optimal periods for water balance studies estimating specific yield and rainfall recharge. DWLR hydrographs also aid in determining rainfall amounts needed to initiate recharge, lag times between rainfall and recharge, effective rainfall events, and periods of evapotranspiration loss - all improving the accuracy of water balance assessments and groundwater resource estimation.
This document describes the simulation of a water reservoir system. It discusses key components like reservoir volume, inflows, outflows, losses from evaporation and seepage, and water demand. The goal is to use a simulation model that applies the continuity equation at discrete time steps to calculate the reservoir volume balance and determine the optimal reservoir size to meet demand with a specified risk of failure, like a 2% chance of running dry in a given year. The model steps through each time period, calculates inflows/outflows/losses, compares to demand, and updates the reservoir volume, outputting shortages or spills.
Power and Energy Potential Study hydrology.pptxMridu5
This document provides an overview of key concepts for assessing the power and energy potential of hydropower projects over a 16-hour study period. It discusses processing hydrological data including extreme and long-term flows, developing volume-elevation and area-elevation curves, and using flow duration curves to estimate primary, secondary, firm, and spill energy potentials. Key outputs of the analysis include estimating design discharge, installed capacity, and power duration curves to evaluate a project's technical feasibility and energy production capabilities.
CH2 Hydraulics and hydrology of HP.pptxDawit Girma
This document provides an overview of hydraulic theory and hydrologic analysis concepts relevant to hydropower engineering. It discusses the energy-work approach to calculating power from falling water and defines key terms like effective head and discharge. Flow duration analysis methods like the rank-ordered and class-interval techniques are described for developing flow duration curves from stream gauge data. Methods for extrapolating this data to ungauged sites are also covered. Other hydrologic topics discussed include tailwater relationships, area-capacity curves, reservoir rule curves, and considerations like evaporation losses and spillway design floods.
Project -- Second DeliverableIntroductionAfter reviewing the.docxbriancrawford30935
Project -- Second Deliverable
Introduction
After reviewing the comments of first deliverable, we learned several things and fixed these problems in the second deliverable. First of all, we did not give sufficient and thorough introductions of the database’s background, which made readers have difficulties understanding our analysis based on the data. Second, we gave too many unnecessary details, such as data names in database, meanings of data values, which were confusing because readers cannot see outputs from Stata, therefore they do not know what we were referring to. So, in this deliverable, we will pay more attention to clarify each variable’s representation and relations between dependent variable and independent variables. Moreover, one label in our table was misleading. “family member number” was supposed to represent family size, the amount of people in each household, but readers may interpret that in different ways. We also concluded that, based on small t statistics and large p values, a control variable, employment status does not have much explanatory power with relation to the dependent variable. So in the second deliverable, we will replace it by region, which affects the cost of water much more significantly.
Regression Table:
Discussion of results from new regression analysis
a. different specification considered
Besides the linear regression model, we generated two more alternative specifications, log regression and quadratic regression, and determined the preferred one based on a comparison of their R squares. Because all three regressions have exactly same amount of control variables on the right side of regressions, comparing R square is as unbiased as comparing the adjusted R square.
To estimate what elements affect the dependent variable, annual water cost of households measured in dollars, both Linear and log regressions have control variables: total income each household earns measured in thousands of dollars, family size, whether household is located at farm or not, value of house measured in thousands of dollars, and region of household. The quadratic regression, however, has the square of total income and house value instead of their original first order terms.
After running regression models in Stata, we got a R square and an adjusted R square for all three regressions. To determine the preferred one between linear and log regressions, however, it’s necessary to transform logged dependent variable to unlogged dependent variable first (generating the squared correlation between annual water cost and estimated annual water cost). An R-square comparison is meaningful only if the dependent variable is the same for both models. For log model, the R-square measures the amount of variation in ln(watercost), but not true variation in cost of water.
The squared correlation between annual water cost and estimated annual water cost equals to (0.2305)^2, which is 0.053. The R square of linear regression is 0.06.
Development and Simulation of Mathematical Modelling of Hydraulic TurbineIDES Editor
Power system performance is affected by dynamic
characteristics of hydraulic governor-turbines during and
following any disturbance, such as occurrence of a fault,
loss of a transmission line or a rapid change of load. Accurate
modelling of hydraulic System is essential to characterize
and diagnose the system response. In this article the
mathematical modeling of hydraulic turbine is presented. The
model is capable to implement the digital systems for
monitoring and control replacing the conventional control
systems for power, frequency and voltage. This paper presents
the possibilities of modeling and simulation of the hydro power
plants and performs an analysis of different control structures
and algorithms.
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...Waqas Tariq
A new approach of prediction of Sidoarjo hot mudflow disastered area based on cellular automata with probabilistic adjustment for minimizing prediction errors is proposed. Sidoarjo hot mudflow has specific characteristics such as plane and complex area, huge mud plumes, high viscosity and surface temperature changes, so that it needs combined approaches of slow debris flow, and material changes caused by viscous fluid and thermal changes. Some deterministic approaches can not show the high state changes. This paper presents a new approach of cellular automata using probabilistic state changing to simulate hot mudflow spreading. The model was calibrated with the time series of topological maps. The experimental results show new inundated areas that are identified as high risk areas where are covered by mud. It is also show that the proposed probabilistic cellular automata approach works well for prediction of hot mudflow spreading areas much accurate than the existing conventional methods.
This document describes a numerical study of flow and energy dissipation in stepped spillways using the FLUENT software. Two stepped spillway models with 5 and 10 steps were analyzed for different flow rates. The k-ε turbulence model and volume of fluid method were used to model turbulence and free surface flow. Numerical results for flow patterns, velocities, and energy dissipation were compared to experimental data from other studies, showing good agreement with errors less than 2%. The results indicate that increasing the flow rate or number of steps reduces energy dissipation, while decreasing step height or length also reduces dissipation.
This document explores optimizing hydroelectric power output from a power station. It uses Bernoulli's equation to model the relationships between water supply quantities and power outputs of different turbines. Lagrange multipliers are applied to determine the maximum total power output given constraints on individual turbine outputs and total water flow. Equations are derived to optimize the water flow allocated to each turbine as a function of total water flow, maximizing total electrical power generated.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
The document discusses the design of a steel pipeline submerged in moving water. It analyzes the forces on the pipeline from the flowing water, including drag force. Experiments using a wind tunnel were conducted to determine the coefficient of drag on cylindrical objects at different flow velocities. This was then used to calculate the drag force on the 10-inch diameter pipeline placed 200 inches below the surface of water flowing at 10 in/s. The calculated drag force and weight of the pipeline and water above it were then used to design the pipeline to withstand these forces.
2014 a method for evaluation of water flooding performance in fractured res...AliMukhtar24
This document presents a new mathematical model for evaluating water flooding performance in fractured reservoirs. The model transforms a dual-porosity reservoir into an equivalent single-porosity model using a pseudo relative permeability method. This allows fractures and matrix to each have their own permeability, porosity, saturation, and relative permeability parameters. The model also accounts for imbibition effects by modifying an existing equation. The investigation shows imbibition can impact recovery and lower production rates can improve water flooding by delaying breakthrough and controlling water cut rise. A new chart is proposed to estimate ultimate recovery based on water cut versus recovery curves. The model is shown to estimate recovery within 2% of simulation results for two reservoirs, proving it a reliable evaluation method.
The document describes the Water Cycle Algorithm (WCA), a nature-inspired metaheuristic optimization algorithm. It presents the key steps of the WCA, which simulates the natural water cycle process. Initial solutions are generated randomly as raindrops. The raindrops flow into rivers based on intensity calculations, and rivers flow into the sea, the lowest point. Positions are exchanged if better solutions are found. Evaporation and raining processes improve solutions until convergence is reached. The WCA is compared to other metaheuristics, with rivers guiding solutions and resemblance to genetic mutation.
This document contains a question bank with answers for a fluid mechanics and machineries course. It includes 13 questions and answers about fluid properties, density, viscosity, surface tension, momentum equations, laminar flow, head losses, pumps, and cavitation. The questions are divided into 4 units covering fluid properties, flow through pipes, dimensional analysis, and pumps.
First Session on MultiScale Integrated Assessment of Societal and Ecosystem metabolism of Water.
ESEE2011 Istanbul.
If you use it, please cite and let us know!!
;)
This document summarizes experiments and designs conducted as part of a water resources engineering lab. It includes:
1. An experiment to determine Manning's roughness coefficient and Chezy's coefficient in a lab flume.
2. A design to estimate potential water resources at a dam site by analyzing sources of water in a watershed and hydrological processes.
3. A design developing the relationship between surface area, elevation and capacity of a reservoir using area-capacity curves.
4. A design estimating the live storage capacity of a reservoir for different operational scenarios by calculating surplus and deficit volumes.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from the slope of plots of logarithmic ratios versus water saturation and capillary pressure versus water saturation. Higher fractal dimensions, indicating more connected pore spaces, corresponded to higher permeability samples. Fractal dimensions increased from lower to upper reservoir units due to increasing permeability. The electro kinetic and capillary pressure derived fractal dimensions showed good agreement.
This document describes an experiment to investigate the relationship between the volume of water in a rectangular tank and the period of seiche waves. The experiment involved recording video of standing waves formed in a tank when shaken, for different water volumes. Position-time graphs were plotted from the videos and fitted with sine curves, and the period was calculated from the curve parameters. The results showed an inverse relationship between the period squared and volume, as predicted by theory. The experiment aimed to understand how seiche waves are affected by water depth and volume.
Gw02 role of dwlr data in groundwater resource estimationhydrologyproject0
This document discusses the role of data from Deep Well Logging Recorders (DWLRs) in estimating groundwater resources. DWLRs provide high-frequency water level data that can help understand recharge processes and parameters. Their data allows identifying accurate peaks and troughs in the water table to define optimal periods for water balance studies estimating specific yield and rainfall recharge. DWLR hydrographs also aid in determining rainfall amounts needed to initiate recharge, lag times between rainfall and recharge, effective rainfall events, and periods of evapotranspiration loss - all improving the accuracy of water balance assessments and groundwater resource estimation.
This document describes the simulation of a water reservoir system. It discusses key components like reservoir volume, inflows, outflows, losses from evaporation and seepage, and water demand. The goal is to use a simulation model that applies the continuity equation at discrete time steps to calculate the reservoir volume balance and determine the optimal reservoir size to meet demand with a specified risk of failure, like a 2% chance of running dry in a given year. The model steps through each time period, calculates inflows/outflows/losses, compares to demand, and updates the reservoir volume, outputting shortages or spills.
Power and Energy Potential Study hydrology.pptxMridu5
This document provides an overview of key concepts for assessing the power and energy potential of hydropower projects over a 16-hour study period. It discusses processing hydrological data including extreme and long-term flows, developing volume-elevation and area-elevation curves, and using flow duration curves to estimate primary, secondary, firm, and spill energy potentials. Key outputs of the analysis include estimating design discharge, installed capacity, and power duration curves to evaluate a project's technical feasibility and energy production capabilities.
CH2 Hydraulics and hydrology of HP.pptxDawit Girma
This document provides an overview of hydraulic theory and hydrologic analysis concepts relevant to hydropower engineering. It discusses the energy-work approach to calculating power from falling water and defines key terms like effective head and discharge. Flow duration analysis methods like the rank-ordered and class-interval techniques are described for developing flow duration curves from stream gauge data. Methods for extrapolating this data to ungauged sites are also covered. Other hydrologic topics discussed include tailwater relationships, area-capacity curves, reservoir rule curves, and considerations like evaporation losses and spillway design floods.
Project -- Second DeliverableIntroductionAfter reviewing the.docxbriancrawford30935
Project -- Second Deliverable
Introduction
After reviewing the comments of first deliverable, we learned several things and fixed these problems in the second deliverable. First of all, we did not give sufficient and thorough introductions of the database’s background, which made readers have difficulties understanding our analysis based on the data. Second, we gave too many unnecessary details, such as data names in database, meanings of data values, which were confusing because readers cannot see outputs from Stata, therefore they do not know what we were referring to. So, in this deliverable, we will pay more attention to clarify each variable’s representation and relations between dependent variable and independent variables. Moreover, one label in our table was misleading. “family member number” was supposed to represent family size, the amount of people in each household, but readers may interpret that in different ways. We also concluded that, based on small t statistics and large p values, a control variable, employment status does not have much explanatory power with relation to the dependent variable. So in the second deliverable, we will replace it by region, which affects the cost of water much more significantly.
Regression Table:
Discussion of results from new regression analysis
a. different specification considered
Besides the linear regression model, we generated two more alternative specifications, log regression and quadratic regression, and determined the preferred one based on a comparison of their R squares. Because all three regressions have exactly same amount of control variables on the right side of regressions, comparing R square is as unbiased as comparing the adjusted R square.
To estimate what elements affect the dependent variable, annual water cost of households measured in dollars, both Linear and log regressions have control variables: total income each household earns measured in thousands of dollars, family size, whether household is located at farm or not, value of house measured in thousands of dollars, and region of household. The quadratic regression, however, has the square of total income and house value instead of their original first order terms.
After running regression models in Stata, we got a R square and an adjusted R square for all three regressions. To determine the preferred one between linear and log regressions, however, it’s necessary to transform logged dependent variable to unlogged dependent variable first (generating the squared correlation between annual water cost and estimated annual water cost). An R-square comparison is meaningful only if the dependent variable is the same for both models. For log model, the R-square measures the amount of variation in ln(watercost), but not true variation in cost of water.
The squared correlation between annual water cost and estimated annual water cost equals to (0.2305)^2, which is 0.053. The R square of linear regression is 0.06.
Development and Simulation of Mathematical Modelling of Hydraulic TurbineIDES Editor
Power system performance is affected by dynamic
characteristics of hydraulic governor-turbines during and
following any disturbance, such as occurrence of a fault,
loss of a transmission line or a rapid change of load. Accurate
modelling of hydraulic System is essential to characterize
and diagnose the system response. In this article the
mathematical modeling of hydraulic turbine is presented. The
model is capable to implement the digital systems for
monitoring and control replacing the conventional control
systems for power, frequency and voltage. This paper presents
the possibilities of modeling and simulation of the hydro power
plants and performs an analysis of different control structures
and algorithms.
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...Waqas Tariq
A new approach of prediction of Sidoarjo hot mudflow disastered area based on cellular automata with probabilistic adjustment for minimizing prediction errors is proposed. Sidoarjo hot mudflow has specific characteristics such as plane and complex area, huge mud plumes, high viscosity and surface temperature changes, so that it needs combined approaches of slow debris flow, and material changes caused by viscous fluid and thermal changes. Some deterministic approaches can not show the high state changes. This paper presents a new approach of cellular automata using probabilistic state changing to simulate hot mudflow spreading. The model was calibrated with the time series of topological maps. The experimental results show new inundated areas that are identified as high risk areas where are covered by mud. It is also show that the proposed probabilistic cellular automata approach works well for prediction of hot mudflow spreading areas much accurate than the existing conventional methods.
This document describes a numerical study of flow and energy dissipation in stepped spillways using the FLUENT software. Two stepped spillway models with 5 and 10 steps were analyzed for different flow rates. The k-ε turbulence model and volume of fluid method were used to model turbulence and free surface flow. Numerical results for flow patterns, velocities, and energy dissipation were compared to experimental data from other studies, showing good agreement with errors less than 2%. The results indicate that increasing the flow rate or number of steps reduces energy dissipation, while decreasing step height or length also reduces dissipation.
This document explores optimizing hydroelectric power output from a power station. It uses Bernoulli's equation to model the relationships between water supply quantities and power outputs of different turbines. Lagrange multipliers are applied to determine the maximum total power output given constraints on individual turbine outputs and total water flow. Equations are derived to optimize the water flow allocated to each turbine as a function of total water flow, maximizing total electrical power generated.
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
Call for paper 2012, hard copy of Certificate, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJCER, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, research and review articles, IJCER Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathematics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer review journal, indexed journal, research and review articles, engineering journal, www.ijceronline.com, research journals,
yahoo journals, bing journals, International Journal of Computational Engineering Research, Google journals, hard copy of Certificate,
journal of engineering, online Submission
The document discusses the design of a steel pipeline submerged in moving water. It analyzes the forces on the pipeline from the flowing water, including drag force. Experiments using a wind tunnel were conducted to determine the coefficient of drag on cylindrical objects at different flow velocities. This was then used to calculate the drag force on the 10-inch diameter pipeline placed 200 inches below the surface of water flowing at 10 in/s. The calculated drag force and weight of the pipeline and water above it were then used to design the pipeline to withstand these forces.
2014 a method for evaluation of water flooding performance in fractured res...AliMukhtar24
This document presents a new mathematical model for evaluating water flooding performance in fractured reservoirs. The model transforms a dual-porosity reservoir into an equivalent single-porosity model using a pseudo relative permeability method. This allows fractures and matrix to each have their own permeability, porosity, saturation, and relative permeability parameters. The model also accounts for imbibition effects by modifying an existing equation. The investigation shows imbibition can impact recovery and lower production rates can improve water flooding by delaying breakthrough and controlling water cut rise. A new chart is proposed to estimate ultimate recovery based on water cut versus recovery curves. The model is shown to estimate recovery within 2% of simulation results for two reservoirs, proving it a reliable evaluation method.
The document describes the Water Cycle Algorithm (WCA), a nature-inspired metaheuristic optimization algorithm. It presents the key steps of the WCA, which simulates the natural water cycle process. Initial solutions are generated randomly as raindrops. The raindrops flow into rivers based on intensity calculations, and rivers flow into the sea, the lowest point. Positions are exchanged if better solutions are found. Evaporation and raining processes improve solutions until convergence is reached. The WCA is compared to other metaheuristics, with rivers guiding solutions and resemblance to genetic mutation.
This document contains a question bank with answers for a fluid mechanics and machineries course. It includes 13 questions and answers about fluid properties, density, viscosity, surface tension, momentum equations, laminar flow, head losses, pumps, and cavitation. The questions are divided into 4 units covering fluid properties, flow through pipes, dimensional analysis, and pumps.
First Session on MultiScale Integrated Assessment of Societal and Ecosystem metabolism of Water.
ESEE2011 Istanbul.
If you use it, please cite and let us know!!
;)
This document summarizes experiments and designs conducted as part of a water resources engineering lab. It includes:
1. An experiment to determine Manning's roughness coefficient and Chezy's coefficient in a lab flume.
2. A design to estimate potential water resources at a dam site by analyzing sources of water in a watershed and hydrological processes.
3. A design developing the relationship between surface area, elevation and capacity of a reservoir using area-capacity curves.
4. A design estimating the live storage capacity of a reservoir for different operational scenarios by calculating surplus and deficit volumes.
Electro kinetic fractal dimension for characterizing shajara reservoirsKhalid Al-Khidir
This document discusses using electro kinetic parameters to characterize reservoirs in the Shajara Formation in Saudi Arabia. The author calculates fractal dimensions from relationships between streaming potential, electro osmosis coupling coefficients, and water saturation. Samples were collected from three reservoir units in the formation. Fractal dimensions were determined from the slope of plots of logarithmic ratios versus water saturation and capillary pressure versus water saturation. Higher fractal dimensions, indicating more connected pore spaces, corresponded to higher permeability samples. Fractal dimensions increased from lower to upper reservoir units due to increasing permeability. The electro kinetic and capillary pressure derived fractal dimensions showed good agreement.
This document describes an experiment to investigate the relationship between the volume of water in a rectangular tank and the period of seiche waves. The experiment involved recording video of standing waves formed in a tank when shaken, for different water volumes. Position-time graphs were plotted from the videos and fitted with sine curves, and the period was calculated from the curve parameters. The results showed an inverse relationship between the period squared and volume, as predicted by theory. The experiment aimed to understand how seiche waves are affected by water depth and volume.
Similar to Water Value for Hydro Generation Reservoirs (20)
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
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By Dr. Vinod Kumar Kanvaria
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
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Film vocab for eal 3 students: Australia the movie
Water Value for Hydro Generation Reservoirs
1. Water Value for Hydro Generation Reservoirs
S.P.S.M. Sandagiri
070286R
Level 4
Department of electrical engineering
Sri Lanka.
Abstract – Water is a basic need of all human But as the maximum capacities of the reservoirs are
beings. The demand for the water is very large and different to each other the reservoirs can’t be
drastically increasing. But the availability of the compared directly with their amount of water
water to fulfill these needs is not sufficient. Time to available. Such issue is illustrated below.
time this scarcity increased to considerable value. Maximum capacity of the A and B reservoirs are
Hence the value of the water changes with time. As 721MCM and 218MCM. Then consider a situation B
water is considered to a free resource this value is filled with 200 MCM and A to 300 MCM without
variation doesn’t taken in to consideration when having the fact of their maximum capacity those two
most of the decisions are taken. When dispatching can’t be compared. In this occasion although amount
the hydro power plants this value variation makes of water in the A is high the risk of spilling is high in
a considerable effect. The purpose of this research is to the B.
investigate and propose a proper algorithm which In order to address this issue in this analysis all
provides a water value for hydro power plant reservoirs. values are divided from their maximum capacity of
the reservoir. Then the information of the risk of
I INTRODUCTION spilling is embedded there. Same thing should be
done for the Future inflow. Therefore simply water
For thermal power generation the fuel cost is the value can be taken as
most dominant factor which effects to the variable
cost. When there is a scarcity or uncertainty for fuel
that is directly represented by its fuel price. Therefore
the uncertainty factor should not be considered as
separate for thermal power plants. But hydro power
plants are totally different from that. The fuel of Although the behavior of the future inflow function
hydro power is water which can be taken free of is needed to calculate water value it can’t be directly
charge. But scarcity of water can be occurred.. express mathematically. Hence another method
Above mentioned scarcity, changes with time and should be used to convert this pattern change in to
sometimes it add higher value for water. From area to mathematical number.
area reservoir to reservoir this value can be different. Main important things should be considered when
To identify this added value, it is necessary to introducing a method are
introduce a value for water. Pattern of future inflow varies with the time
It is necessary that introduced water Most recent future inflow is more important
value, either represents a value in rupees which can than subsequent future inflow.
directly compare with fuel cost or a value which can This example will illustrate its importance. Consider
be used to compare each reservoir’s water value. In two power plants, one has a good inflow within next
this study more attention is focused to introduce a two three weeks but other has a huge inflow larger
value to compare the hydro power plants reservoirs’ than first one, after 4 months. But first plant should
water. be given a higher priority than second because the
II Objective first one should be used its present water to prepare
Build up a formula for water value which gives a to take that immediate future inflow water. Then take
value to compare the reservoirs. that information into account more weight should be
given to most recent future.
III Investigation Inflow most probably repeats during period of one
Factors which affects the water availability of the year. Hence it is reasonable to consider one year as
reservoirs. time horizon for future inflow.
Present water capacity of the reservoir Below mention equation will covert the pattern into a
Future inflow number as well provides more weight to most recent
Change Rate of the inflow with given time inflow of future.
horizon.(behavior of future inflow function)
2. dispatch that plant although the future
inflow gives an appraisal to the water value.
Hence the effect to the water value from
future inflow should gradually decrease with
Here the f(t) is forecasted future inflow graph of the the storage.
reservoir and the integration time horizon is 12 Then the water value can be given in a 3D graph
months. where x and y axis represents above mentioned real
and imaginary part and the z value represents the
Here weighting function is and
water value. Expected contour curve graph is shown
below. This graph satisfies the all four above mention
Then the value of k=.9999938553 characteristics.
But future inflow can’t be simply added to the
present storage. Because effect to the water value Contour
may not be same from present storage and future curves
inflow. Therefore a constant is defined.
But if it is possible to give these two parameters
separately it will give more detailed idea of the Inflow
reservoir. Therefore the water value can be given as a
complex number.
q
Real part = present water availability
Imaginary part = future water availability. p
Storage
Although this formula provides a detailed idea of the
reservoir it is not comparable. The comparability is
more important for water value. Because it is used to Figure 4
prepare the merit order. Other weakness of this Contour curves of water value
formula is it increase with the water availability. But
more priority is given for lower water values when
dispatch schedule is prepared. Hence this should be Above mention four characteristics has four different
improved. This water value definition can be used in features. There are individual functions which
computer program based analysis where the compare contains these features. Using combination of these
can be done using an algorithm. functions expected function was derived.
As we are interested in a formula which provides a
value to compare the reservoirs it is more Water value=
advantageous if a single value can be given as a
water value. Before going to define such value it is Here a,b,c,d and g are constant. Introducing the
more important to analyze and find what appropriate values for them expected graph can be
characteristics of a water value. obtained.
Characteristics of water value according to above For a=1 and b= 1, c=.8 d=.1 e=2 the graph is shown
defined function, in figure 2. These values give the expected contour
1. It should inversely proportional to the per curve graph. But from power system to power system
unit present storage (Real part). and country to country the there can small changes of
2. It should inversely proportional to future the constants. But the basic shape should identical to
water availability(imaginary part) figure 2.
3. For a constant water value when the future
inflow increase the storage should be
decrease to keep the water value fixed.
4. But when the storage is reduced to a
significant lower level it is impossible to