1. The document discusses the use of game theory to analyze bidding strategies of generators and loads in a deregulated electricity market. It considers different cases where players may overdeclare or underdeclare their capacity to maximize their profits.
2. Generators can gain by overdeclaring capacity during off-peak times and underdeclaring during peaks, while loads can gain from overdeclaring demand during peaks and underdeclaring during off-peaks.
3. The analysis shows generators and loads each have incentives to game the system through strategic bidding. Mechanisms like auditing and penalties are needed to prevent gaming and encourage cooperation for maximum system benefits.
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2009 deep research report on cost and price of china wind power equipmentqyresearch
The 2009 Deep Research Report on Cost and Price of China Wind Power Equipment analyzes the costs, prices, and profit margins of key wind power equipment components like wind turbines, blades, gearboxes, and bearings from 2008-2013. It also examines investment opportunities and risks in the wind power industry chain, and provides feasibility analyses of sample wind turbine blade and gearbox manufacturing projects. The 40-page report includes 54 tables and figures analyzing trends, projections, and the prospects of wind farms operating in China's four wind resource areas.
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Presentation of the final event for the three GV04 projects: ReFreeDrive, ModulED and Drivemode. Recordings available at https://www.youtube.com/playlist?list=PLUFRNkTrB5O-38psbMgeWAvzXQ5QWzNsk.
Integrated Modular Distributed Drivetrain for Electric & Hybrid Vehicles
This document provides a 3-sentence summary of the key points:
The document discusses South Korea's power market, describing its generation capacity, transmission infrastructure, and peak electricity demand. It then outlines the country's electricity market structure, including its mandatory pool system with cost-based bidding, system marginal pricing, and payments for capacity and ancillary services. Generators submit daily bids for availability on an hourly basis to be dispatched the following day in the day-ahead market.
ModulED. Next generation powertrains for electric vehiclesLeonardo ENERGY
Presentation of the final event for the three GV04 projects: ReFreeDrive, ModulED and Drivemode. Recordings available at https://www.youtube.com/playlist?list=PLUFRNkTrB5O-38psbMgeWAvzXQ5QWzNsk.
ModulED aims at developing a new generation of modular electric engine based on buried-permanent magnet motor with reduced rare earth use, and electric drivetrain for various configurations of Full and Hybrid Electric Vehicles (including cost, environmental impact, efficiency, and mass manufacturing ready).
This document discusses the design and performance analysis of a three-phase induction motor using ANSYS RMxprt software. It describes the design process including selection of materials, geometry details of the stator and rotor, winding arrangement, and performance characteristics under rated load, no-load, and breakdown conditions. The software was used to generate 2D and 3D geometries of the motor and evaluate parameters such as efficiency, power factor, torque, and losses. The summary highlights that ANSYS RMxprt enables fast and cost-effective design of induction motors by facilitating analytical calculations, material selection, and performance analysis prior to manufacturing.
Breuckmann eMobility GmbH develops innovative rotor casting technology called Zero Porosity Rotor (ZPR) for electric vehicle induction motors. ZPR uses laminar squeeze casting to produce rotors with zero porosity, allowing for superior mechanical properties, higher electrical conductivity, and maximum process stability compared to industry standard rotors. Key advantages of ZPR rotors include up to 12.5% higher maximum rotational speed, 35% higher electrical conductivity, and ability to withstand 25% higher circumferential bursting speeds. Breuckmann has partnerships for motor testing, slot geometry design, and received EU funding to develop high-speed motor concepts using its ZPR technology.
Mitsubishi ac servos melservo j4 solutions eco-friendly conveyors and product...Dien Ha The
Khoa Học - Kỹ Thuật & Giải Trí: http://phongvan.org
Tài Liệu Khoa Học Kỹ Thuật: http://tailieukythuat.info
Thiết bị Điện Công Nghiệp - Điện Hạ Thế: http://dienhathe.org
2009 deep research report on cost and price of china wind power equipmentqyresearch
The 2009 Deep Research Report on Cost and Price of China Wind Power Equipment analyzes the costs, prices, and profit margins of key wind power equipment components like wind turbines, blades, gearboxes, and bearings from 2008-2013. It also examines investment opportunities and risks in the wind power industry chain, and provides feasibility analyses of sample wind turbine blade and gearbox manufacturing projects. The 40-page report includes 54 tables and figures analyzing trends, projections, and the prospects of wind farms operating in China's four wind resource areas.
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Presentation of the final event for the three GV04 projects: ReFreeDrive, ModulED and Drivemode. Recordings available at https://www.youtube.com/playlist?list=PLUFRNkTrB5O-38psbMgeWAvzXQ5QWzNsk.
Integrated Modular Distributed Drivetrain for Electric & Hybrid Vehicles
This document provides a 3-sentence summary of the key points:
The document discusses South Korea's power market, describing its generation capacity, transmission infrastructure, and peak electricity demand. It then outlines the country's electricity market structure, including its mandatory pool system with cost-based bidding, system marginal pricing, and payments for capacity and ancillary services. Generators submit daily bids for availability on an hourly basis to be dispatched the following day in the day-ahead market.
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Presentation of the final event for the three GV04 projects: ReFreeDrive, ModulED and Drivemode. Recordings available at https://www.youtube.com/playlist?list=PLUFRNkTrB5O-38psbMgeWAvzXQ5QWzNsk.
ModulED aims at developing a new generation of modular electric engine based on buried-permanent magnet motor with reduced rare earth use, and electric drivetrain for various configurations of Full and Hybrid Electric Vehicles (including cost, environmental impact, efficiency, and mass manufacturing ready).
This document discusses the design and performance analysis of a three-phase induction motor using ANSYS RMxprt software. It describes the design process including selection of materials, geometry details of the stator and rotor, winding arrangement, and performance characteristics under rated load, no-load, and breakdown conditions. The software was used to generate 2D and 3D geometries of the motor and evaluate parameters such as efficiency, power factor, torque, and losses. The summary highlights that ANSYS RMxprt enables fast and cost-effective design of induction motors by facilitating analytical calculations, material selection, and performance analysis prior to manufacturing.
Breuckmann eMobility GmbH develops innovative rotor casting technology called Zero Porosity Rotor (ZPR) for electric vehicle induction motors. ZPR uses laminar squeeze casting to produce rotors with zero porosity, allowing for superior mechanical properties, higher electrical conductivity, and maximum process stability compared to industry standard rotors. Key advantages of ZPR rotors include up to 12.5% higher maximum rotational speed, 35% higher electrical conductivity, and ability to withstand 25% higher circumferential bursting speeds. Breuckmann has partnerships for motor testing, slot geometry design, and received EU funding to develop high-speed motor concepts using its ZPR technology.
IRJET- Solving Economic Load Dispatch Problem with Valve Point EffectIRJET Journal
This document presents a study on using Jaya Optimization (JO) to solve the economic load dispatch (ELD) problem considering valve point loading effects. ELD aims to minimize fuel costs while meeting demand, and involves constraints. JO is applied to a 13-unit system, minimizing costs while satisfying constraints. Results show JO finds the optimal solution of $17937.67/hr, outperforming other algorithms like SDE, IGA_MU, and HQPSO. JO is thus an effective technique for solving the non-linear, non-convex ELD problem with valve point effects.
This document presents a study on using an LSTM model to forecast electrical load demand based on past load data from 2018 to 2021 from four different generators - Coal Old, Coal New, Gas, and Peaker. The study collects load data for each generator over time and enters it into an LSTM model coded in Python. The model is trained on 2018-2021 data and tested on its ability to accurately predict future loads. The results show that the LSTM model is able to forecast load demand with a Mean Absolute Percentage Error below 10% and Mean Absolute Error within ±5% of average demand, indicating an accurate forecast. The model provides an efficient method for load forecasting to help power utilities balance supply and demand.
IRJET- Implementing Zero Energy Efficiency in Residential BuildingIRJET Journal
This document discusses implementing zero energy efficiency in residential buildings. It defines different types of zero net energy buildings and proposes designing a residential building in India to achieve net zero status. The proposed building's electricity consumption is calculated and solar panels are designed to meet this demand. The costs of implementing the solar system and conventional electricity costs over 20 years are compared, finding that the zero energy building would save over 9.5 lakh rupees. Examples of existing net zero energy buildings in India are provided and the advantages and disadvantages of such buildings are summarized.
Estimating Quadratic Cost Curve Coefficients of Thermal Power Plant Without U...IRJET Journal
This document presents an approach to estimate the quadratic cost coefficients of a thermal power plant using limited available data. It involves:
1) Computing the average heat rate at minimum capacity using the heat rate at maximum capacity and turbine type.
2) Using finite difference methods to calculate intermediate heat rate values corresponding to different power output levels.
3) Computing the corresponding fuel input values to generate a fuel input-output data set.
4) Applying least squares estimation to the generated data set to determine the quadratic cost curve coefficients.
The method is demonstrated on Nigerian power plants, with the estimated coefficients found to differ from literature values by up to 27%. The approach allows estimating cost coefficients when direct fuel input
1) Product management training and customer support are available worldwide through various offices and partnerships.
2) Expertise can affect 60% of wind turbine downtime. Condition monitoring systems can achieve a 30% reduction in downtime and repair costs.
3) Even for the smallest turbines, the most expensive condition monitoring system would pay for itself in less than a year based on avoided component replacement, maintenance, and lost generation costs.
This is M A Masud Khan, I have developed Sena Energy Saving Fan for Sena Kalyan Sangstha which is pioneer in Bangladesh and I have designed this and implement as well as working for market capture.
This fan will save about 65% energy according to the BSTI Standard.
This document provides information about power plant economics, including definitions of key terms, classifications of power plants, factors considered in power plant design, tariffs, economics of power generation, and site selection criteria. It also includes 3 sample problems calculating load factor, capacity factor, annual energy production, reserve capacity, and hours not in service for given power plant scenarios.
IRJET- Design and Fabrication of a Self Balancing Mono Wheel VehicleIRJET Journal
The document describes the design and fabrication of a self-balancing mono wheel vehicle. It uses a single wheel powered by a 250W DC motor and controlled using a PID controller and IMU sensor. The PID controller receives input from the IMU sensor to detect the vehicle's angle and controls the motor to maintain balance. It is intended to work like a hoverboard where the rider's inclination controls the direction. The vehicle was designed to be efficient and use regenerative braking for battery charging.
Economics of Power Generation
A power station is required to deliver
power to a large number of consumers
to meet their requirements. While de-
signing and building a power station, efforts
should be made to achieve overall economy so
that the per unit cost of production is as low as
possible. This will enable the electric supply
company to sell electrical energy at a profit and
ensure reliable service. The problem of deter-
mining the cost of production of electrical en-
ergy is highly complex and poses a challenge to
power engineers. There are several factors which
influence the production cost such as cost of land
and equipment, depreciation of equipment, inter-
est on capital investment etc. Therefore, a care-
ful study has to be made to calculate the cost of
production. In this chapter, we shall focus our
attention on the various aspects of economics of
power generation.
This document discusses economic dispatch in power systems. It begins with an introduction that defines economic dispatch and optimal power flow problems. It then discusses various constraints in economic dispatch problems, including generator limits, transmission line limits, and reserve requirements. Different economic dispatch problems are examined, including ones that neglect transmission losses and include losses. The document also discusses unit commitment problems and provides an example of calculating the optimal dispatch to minimize total generation costs.
The document discusses Venture Ignoramus' (VI) proposal for an off-grid energy solution for telecom towers. VI's solution involves a decentralized energy assembly utilizing Stirling engines, flow batteries, solar thermal, and biomass. It collects data to optimize the system using an integrated controller. The market for telecom tower energy is growing significantly. While competitors exist, VI's solution aims to be unique through its modular design, battery philosophy, and data-driven optimization. Financial projections show positive cash flow and IRR if VI is able to secure working capital until revenue starts in year 4. A stress test examines the impact of various risks on projected IRR.
The document discusses energy consumption and renewable energy potential in India. It notes that a 6% increase in India's GDP would impose a 9% increased demand on the energy sector. India has significant potential to harness solar energy, with a total potential of 178 billion MW. However, large scale utilization of solar energy is still limited by production efficiency and costs. The document then discusses TATA BP Solar India Limited, which manufactures solar cells at 32 MW per year. It aims to capitalize on the potential of solar energy in India.
Estimation efficiency of rewound induction motors in situ using a numerical m...journalBEEI
This paper presents an effective technique for determining the impact of rewinding practices on the motor efficiency and characterizing the efficiency reduction when electrical motors are rewound several times. This technique focuses on a new approach and a statistical study to find a numerical model for the estimation efficiency of rewound induction motors in the field. The experimental results from 101 induction motor tests are analyzed. A numerical model is determined and compared with different methods: separate losses method, modified current method and simple current method. An error analysis is conducted to examine the level of uncertainty by testing three asynchronous motors at 110 kW, 160 kW, and 300 kW. The results show that this approach can predict and estimate the efficiency reduction in rewound motors without expensive tests and can help the energy manager make effective cost decisions in replacing the rewound motors with more efficient ones by using an assessment of overconsumption and maintenance costs. Another advantage of this model is that it can be used to improve the software tools and can also be a very strong indicator to audit the repair quality.
Optimization of Economic Load Dispatch with Unit Commitment on Multi MachineIJAPEJOURNAL
Economic load dispatch (ELD) and Unit Commitment (UC) are significant research applications in power systems that optimize the total production cost of the predicted load demand. The UC problem determines a turn-on and turn-off schedule for a given combination of generating units, thus satisfying a set of dynamic operational constraints. ELD optimizes the operation cost for all scheduled generating units with respect to the load demands of customers. The first phase in this project is to economically schedule the distribution of generating units using Gauss seidal and the second phase is to determine optimal load distribution for the scheduled units using dynamic programming method is applied to select and choose the combination of generating units that commit and de-commit during each hour. These precommitted schedules are optimized by dynamic programming method thus producing a global optimum solution with feasible and effective solution quality, minimal cost and time and higher precision. The effectiveness of the proposed techniques is investigated on two test systems consisting of five generating units and the experiments are carried out using MATLAB R2010b software. Experimental results prove that the proposed method is capable of yielding higher quality solution including mathematical simplicity, fast convergence, diversity maintenance, robustness and scalability for the complex ELD-UC problem.
This document summarizes a wind power project in Rameswaram, India that analyzed the feasibility of installing two Gamesa G58 wind turbine generators (WTGs) with a rated capacity of 850 kW each. WindPro software was used to model the site's wind resource, estimate annual energy output of 2,131 MWh per WTG, and calculate a capacity factor of 28.6%. Economic analysis estimated a payback period of 7.3 years based on the local electricity rate. Noise and shadow modeling found the WTGs would meet regulatory limits. The project was deemed economically feasible if other installation costs beyond the turbine costs were reduced or excluded.
Cutting Costs for Energy Producers by 1 Cent per Kilowatt HourSentient Science
The document discusses how the industrial internet and prognostics can help energy producers reduce costs by 1 cent per kilowatt hour through optimizing asset maintenance and life extension. It presents an asset-level ROI model that evaluates different life extension options for individual wind turbines based on their predicted remaining useful life from digital clone live prognostics data. The model allows selecting the option with the highest net financial gain to inform maintenance decision making on an asset-by-asset basis and help maximize returns at the site level.
EFFICACY OF NET METER IN ACE SOLAR POWER PLANTIRJET Journal
This document analyzes the efficacy of net metering in a 20kW solar power plant at ACE Engineering College. It discusses how a bi-directional net meter monitors the flow of power exported from the solar plant to the grid and power consumed by the college buildings. An annual load curve for the plant is generated using MATLAB based on net meter readings over 12 months. This load curve shows the maximum power generated was 14,100 units in March and the total annual generation was 136,220 units. It also examines power consumed by the college and exported to the grid on monthly and annual bases. The document concludes net metering helps track solar energy generation and consumption to better utilize power resources.
Clean power plans - the role of the smart gridPaul Alvarez
This presentation introduces the smart grid capabilities with the greatest CO2 reduction potential, the benefit-cost analysis associated with these capabilities, the ratemaking policies that discourage utilities from optimizing these capabilities, and potential solutions. To schedule a presentation for your state energy office or utility regulatory staff, please contact Wired Group President Paul Alvarez.
IRJET- Automated Machine Design through Software Controller SupportIRJET Journal
The document proposes an automated machine design that uses a software controller to support a continuous cyclic mechanism for energy generation. It involves using components like a ball nut screw, gear shafts, coils of wire, and an Arduino controller to convert mechanical motion from a house jack into rotational motion that drives the coils to generate electricity, and then uses the generated electricity to power the jack in a self-sustaining cycle. The goal is to create a machine that can generate power continuously without relying on external energy sources like fossil fuels.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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IRJET- Solving Economic Load Dispatch Problem with Valve Point EffectIRJET Journal
This document presents a study on using Jaya Optimization (JO) to solve the economic load dispatch (ELD) problem considering valve point loading effects. ELD aims to minimize fuel costs while meeting demand, and involves constraints. JO is applied to a 13-unit system, minimizing costs while satisfying constraints. Results show JO finds the optimal solution of $17937.67/hr, outperforming other algorithms like SDE, IGA_MU, and HQPSO. JO is thus an effective technique for solving the non-linear, non-convex ELD problem with valve point effects.
This document presents a study on using an LSTM model to forecast electrical load demand based on past load data from 2018 to 2021 from four different generators - Coal Old, Coal New, Gas, and Peaker. The study collects load data for each generator over time and enters it into an LSTM model coded in Python. The model is trained on 2018-2021 data and tested on its ability to accurately predict future loads. The results show that the LSTM model is able to forecast load demand with a Mean Absolute Percentage Error below 10% and Mean Absolute Error within ±5% of average demand, indicating an accurate forecast. The model provides an efficient method for load forecasting to help power utilities balance supply and demand.
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This document discusses implementing zero energy efficiency in residential buildings. It defines different types of zero net energy buildings and proposes designing a residential building in India to achieve net zero status. The proposed building's electricity consumption is calculated and solar panels are designed to meet this demand. The costs of implementing the solar system and conventional electricity costs over 20 years are compared, finding that the zero energy building would save over 9.5 lakh rupees. Examples of existing net zero energy buildings in India are provided and the advantages and disadvantages of such buildings are summarized.
Estimating Quadratic Cost Curve Coefficients of Thermal Power Plant Without U...IRJET Journal
This document presents an approach to estimate the quadratic cost coefficients of a thermal power plant using limited available data. It involves:
1) Computing the average heat rate at minimum capacity using the heat rate at maximum capacity and turbine type.
2) Using finite difference methods to calculate intermediate heat rate values corresponding to different power output levels.
3) Computing the corresponding fuel input values to generate a fuel input-output data set.
4) Applying least squares estimation to the generated data set to determine the quadratic cost curve coefficients.
The method is demonstrated on Nigerian power plants, with the estimated coefficients found to differ from literature values by up to 27%. The approach allows estimating cost coefficients when direct fuel input
1) Product management training and customer support are available worldwide through various offices and partnerships.
2) Expertise can affect 60% of wind turbine downtime. Condition monitoring systems can achieve a 30% reduction in downtime and repair costs.
3) Even for the smallest turbines, the most expensive condition monitoring system would pay for itself in less than a year based on avoided component replacement, maintenance, and lost generation costs.
This is M A Masud Khan, I have developed Sena Energy Saving Fan for Sena Kalyan Sangstha which is pioneer in Bangladesh and I have designed this and implement as well as working for market capture.
This fan will save about 65% energy according to the BSTI Standard.
This document provides information about power plant economics, including definitions of key terms, classifications of power plants, factors considered in power plant design, tariffs, economics of power generation, and site selection criteria. It also includes 3 sample problems calculating load factor, capacity factor, annual energy production, reserve capacity, and hours not in service for given power plant scenarios.
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The document describes the design and fabrication of a self-balancing mono wheel vehicle. It uses a single wheel powered by a 250W DC motor and controlled using a PID controller and IMU sensor. The PID controller receives input from the IMU sensor to detect the vehicle's angle and controls the motor to maintain balance. It is intended to work like a hoverboard where the rider's inclination controls the direction. The vehicle was designed to be efficient and use regenerative braking for battery charging.
Economics of Power Generation
A power station is required to deliver
power to a large number of consumers
to meet their requirements. While de-
signing and building a power station, efforts
should be made to achieve overall economy so
that the per unit cost of production is as low as
possible. This will enable the electric supply
company to sell electrical energy at a profit and
ensure reliable service. The problem of deter-
mining the cost of production of electrical en-
ergy is highly complex and poses a challenge to
power engineers. There are several factors which
influence the production cost such as cost of land
and equipment, depreciation of equipment, inter-
est on capital investment etc. Therefore, a care-
ful study has to be made to calculate the cost of
production. In this chapter, we shall focus our
attention on the various aspects of economics of
power generation.
This document discusses economic dispatch in power systems. It begins with an introduction that defines economic dispatch and optimal power flow problems. It then discusses various constraints in economic dispatch problems, including generator limits, transmission line limits, and reserve requirements. Different economic dispatch problems are examined, including ones that neglect transmission losses and include losses. The document also discusses unit commitment problems and provides an example of calculating the optimal dispatch to minimize total generation costs.
The document discusses Venture Ignoramus' (VI) proposal for an off-grid energy solution for telecom towers. VI's solution involves a decentralized energy assembly utilizing Stirling engines, flow batteries, solar thermal, and biomass. It collects data to optimize the system using an integrated controller. The market for telecom tower energy is growing significantly. While competitors exist, VI's solution aims to be unique through its modular design, battery philosophy, and data-driven optimization. Financial projections show positive cash flow and IRR if VI is able to secure working capital until revenue starts in year 4. A stress test examines the impact of various risks on projected IRR.
The document discusses energy consumption and renewable energy potential in India. It notes that a 6% increase in India's GDP would impose a 9% increased demand on the energy sector. India has significant potential to harness solar energy, with a total potential of 178 billion MW. However, large scale utilization of solar energy is still limited by production efficiency and costs. The document then discusses TATA BP Solar India Limited, which manufactures solar cells at 32 MW per year. It aims to capitalize on the potential of solar energy in India.
Estimation efficiency of rewound induction motors in situ using a numerical m...journalBEEI
This paper presents an effective technique for determining the impact of rewinding practices on the motor efficiency and characterizing the efficiency reduction when electrical motors are rewound several times. This technique focuses on a new approach and a statistical study to find a numerical model for the estimation efficiency of rewound induction motors in the field. The experimental results from 101 induction motor tests are analyzed. A numerical model is determined and compared with different methods: separate losses method, modified current method and simple current method. An error analysis is conducted to examine the level of uncertainty by testing three asynchronous motors at 110 kW, 160 kW, and 300 kW. The results show that this approach can predict and estimate the efficiency reduction in rewound motors without expensive tests and can help the energy manager make effective cost decisions in replacing the rewound motors with more efficient ones by using an assessment of overconsumption and maintenance costs. Another advantage of this model is that it can be used to improve the software tools and can also be a very strong indicator to audit the repair quality.
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Economic load dispatch (ELD) and Unit Commitment (UC) are significant research applications in power systems that optimize the total production cost of the predicted load demand. The UC problem determines a turn-on and turn-off schedule for a given combination of generating units, thus satisfying a set of dynamic operational constraints. ELD optimizes the operation cost for all scheduled generating units with respect to the load demands of customers. The first phase in this project is to economically schedule the distribution of generating units using Gauss seidal and the second phase is to determine optimal load distribution for the scheduled units using dynamic programming method is applied to select and choose the combination of generating units that commit and de-commit during each hour. These precommitted schedules are optimized by dynamic programming method thus producing a global optimum solution with feasible and effective solution quality, minimal cost and time and higher precision. The effectiveness of the proposed techniques is investigated on two test systems consisting of five generating units and the experiments are carried out using MATLAB R2010b software. Experimental results prove that the proposed method is capable of yielding higher quality solution including mathematical simplicity, fast convergence, diversity maintenance, robustness and scalability for the complex ELD-UC problem.
This document summarizes a wind power project in Rameswaram, India that analyzed the feasibility of installing two Gamesa G58 wind turbine generators (WTGs) with a rated capacity of 850 kW each. WindPro software was used to model the site's wind resource, estimate annual energy output of 2,131 MWh per WTG, and calculate a capacity factor of 28.6%. Economic analysis estimated a payback period of 7.3 years based on the local electricity rate. Noise and shadow modeling found the WTGs would meet regulatory limits. The project was deemed economically feasible if other installation costs beyond the turbine costs were reduced or excluded.
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The document discusses how the industrial internet and prognostics can help energy producers reduce costs by 1 cent per kilowatt hour through optimizing asset maintenance and life extension. It presents an asset-level ROI model that evaluates different life extension options for individual wind turbines based on their predicted remaining useful life from digital clone live prognostics data. The model allows selecting the option with the highest net financial gain to inform maintenance decision making on an asset-by-asset basis and help maximize returns at the site level.
EFFICACY OF NET METER IN ACE SOLAR POWER PLANTIRJET Journal
This document analyzes the efficacy of net metering in a 20kW solar power plant at ACE Engineering College. It discusses how a bi-directional net meter monitors the flow of power exported from the solar plant to the grid and power consumed by the college buildings. An annual load curve for the plant is generated using MATLAB based on net meter readings over 12 months. This load curve shows the maximum power generated was 14,100 units in March and the total annual generation was 136,220 units. It also examines power consumed by the college and exported to the grid on monthly and annual bases. The document concludes net metering helps track solar energy generation and consumption to better utilize power resources.
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This presentation introduces the smart grid capabilities with the greatest CO2 reduction potential, the benefit-cost analysis associated with these capabilities, the ratemaking policies that discourage utilities from optimizing these capabilities, and potential solutions. To schedule a presentation for your state energy office or utility regulatory staff, please contact Wired Group President Paul Alvarez.
IRJET- Automated Machine Design through Software Controller SupportIRJET Journal
The document proposes an automated machine design that uses a software controller to support a continuous cyclic mechanism for energy generation. It involves using components like a ball nut screw, gear shafts, coils of wire, and an Arduino controller to convert mechanical motion from a house jack into rotational motion that drives the coils to generate electricity, and then uses the generated electricity to power the jack in a self-sustaining cycle. The goal is to create a machine that can generate power continuously without relying on external energy sources like fossil fuels.
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
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This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.