power plant engineering unit wise questions from previous year question paper...ManOFF1
power plant engineering unit wise questions from previous year question papers,with JUNTA,R15 syllabus copy,b.tech,all previous year questions from different regulations are segregated unit wise,for each unit there syllabus of r15 regulation from junta,mechanical engineering,b.tech.
This Slides will help you to know the- what is the economics of power generation and how it is generated. The basic terminology used in power generation like demand factor, peak load, load curve, load factor, diversity factor, and at last you will also find out the methods used for calculating the Depreciation of materials.
power plant engineering unit wise questions from previous year question paper...ManOFF1
power plant engineering unit wise questions from previous year question papers,with JUNTA,R15 syllabus copy,b.tech,all previous year questions from different regulations are segregated unit wise,for each unit there syllabus of r15 regulation from junta,mechanical engineering,b.tech.
This Slides will help you to know the- what is the economics of power generation and how it is generated. The basic terminology used in power generation like demand factor, peak load, load curve, load factor, diversity factor, and at last you will also find out the methods used for calculating the Depreciation of materials.
PPTs deals with the Unit 5 of Power Plant Engineering, discusses Load Curve, Load duration curve, various factors associated with power palnt like Load factor, capacity factor, use factor, demand factor , diversity factor, method of calculating different costs involved in power generation, differential fuel costing and its implications on sharing of units, factors determine the selection of site for Power plants Workedout problems are also dealt
The maintenance cost of wind farms is one of the major factors influencing the prof- itability of wind projects. During preventive maintenance, the shutdown of wind turbines results in downtime wind energy losses. Appropriate determination of when to perform maintenance and which turbine(s) to maintain can reduce the overall downtime losses sig- nificantly. This paper uses a wind farm power generation model to evaluate downtime energy losses during preventive maintenance for a given group of wind turbines in the en- tire array. Wakes effects are taken into account to accurately estimate energy production over a specified time period. In addition to wind condition, the influence of wake effects is a critical factor in determining the selection of turbine(s) under maintenance. To min- imize the overall downtime loss of an offshore wind farm due to preventive maintenance, an optimal scheduling problem is formulated that selects the maintenance time of each turbine. Weather conditions are imposed as constraints to ensure the safety of mainte- nance personnel, transportation, and tooling infrastructure. A genetic algorithm is used to solve the optimal scheduling problem. The maintenance scheduling is optimized for a utility-scale offshore wind farm with 25 turbines. The optimized schedule not only reduces the overall downtime loss by selecting the maintenance dates when wind speed is low, but also considers the wake effects among turbines. Under given wind direction, the turbines under maintenance are usually the ones that can generate strong wake effects on others during certain wind conditions, or the ones that generate relatively less power being under excessive wake effects.
Neil Garrigan: Electric Drive Technology Considerations for Aircraft Propulsion EnergyTech2015
EnergyTech2015.com
Track 2, Session 3 HYBRID ELECTRIC POWER FOR AERONAUTIC PROPULSION PANEL Monday, November 30
Moderator: Michael Heil, Ohio Aerospace Institute
This panel explored benefits and technology challenges associated with distributed, hybrid electric propulsion for future subsonic aeronautic vehicles. Panel members included aeronautics propulsion industry, NASA, and the DoD.
James Felder, NASA Glenn Research Center
John Nairus, Air Force Research Lab, Chief Engineer Power & Controls Division
Neil Garrigan, GE Aviation
Meyer Benzakein, OSU - Aeronautic
Track Two: New Technologies for Solving the Energy Puzzle Where are the breakthroughs? How will new and emerging technologies provide solutions for society energy needs? How can these be effectively integrated with existing legacy systems?
In this presentation, I’ll describe the general scheme of power plant with including :
1. Schemetic Arrangment of Steam Turbine
2. Pros. & Cons. of Steam Turbine
3. Schemetic Arrangment of Gas Power Plant
4. Pros. & Cons. of Gas Power Plant
5. Pros. & Cons. of Nuclear Power Plant
6. Schemetic Arrangment of Soler (PV) System
7. Types of Renewable & Non-renewable Energy
The performance expectations for commercial wind turbines, from a variety of geograph- ical regions with differing wind regimes, present significant techno-commercial challenges to manufacturers. The determination of which commercial turbine types perform the best under differing wind regimes can provide unique insights into the complex demands of a concerned target market. In this paper, a comprehensive methodology is developed to explore the suitability of commercially available wind turbines (when operating as a group/array) to the various wind regimes occurring over a large target market. The three major steps of this methodology include: (i) characterizing the geographical variation of wind regimes in the target market, (ii) determining the best performing turbines (in terms of minimum COE accomplished) for different wind regimes, and (iii) developing a metric to investigate the performance-based expected market suitability of currently available tur- bine feature combinations. The best performing turbines for different wind regimes are determined using the Unrestricted Wind Farm Layout Optimization (UWFLO) method. Expectedly, the larger sized and higher rated-power turbines provide better performance at lower average wind speeds. However, for wind resources higher than class-4, the perfor- mances of lower-rated power turbines are fairly competitive, which could make them better choices for sites with complex terrain or remote location. In addition, turbines with direct drive are observed to perform significantly better than turbines with more conventional gear-based drive-train. The market considered in this paper is mainland USA, for which wind map information is obtained from NREL. Interestingly, it is found that overall higher rated-power turbines with relatively lower tower heights are most favored in the onshore US market.
In this paper, we develop a flexible design platform to ac- count for the influences of key factors in optimal planning of commercial scale wind farms. The Unrestricted Wind Farm Lay- out Optimization (UWFLO) methodology, which avoids limit- ing assumptions regarding the farm layout and the selection of turbines, is used to develop this design platform. This paper presents critical advancements to the UWFLO methodology to allow the synergistic consideration of (i) the farm layout, (ii) the types of commercial turbines to be installed, and (iii) the ex- pected annual distribution of wind conditions at a particular site. We use a recently developed Kernel Density Estimation (KDE) based method to characterize the multivariate distribution of wind speed and wind direction. Optimization is performed using an advanced mixed discrete Particle Swarm Optimization algo- rithm. We also implement a high fidelity wind farm cost model that is developed using a Radial Basis Function (RBF) based response surface. The new optimal farm planning platform is applied to design a 25-turbine wind farm at a North Dakota site. We found that the optimal layout is significantly sensitive to the annual variation in wind conditions. Allowing the turbine-types to be selected during optimization was observed to improve the annual energy production by 49% compared to layout optimiza- tion alone.
Unit-V-Power Plant Economics and Environment.pptxprakash0712
Power tariff types, load distribution parameters, load curve – comparison of site selection criteria – relative merits and demerits – capital and operating cost of different power plants – pollution control technologies including waste disposal options for coal and nuclear power plants.
PPTs deals with the Unit 5 of Power Plant Engineering, discusses Load Curve, Load duration curve, various factors associated with power palnt like Load factor, capacity factor, use factor, demand factor , diversity factor, method of calculating different costs involved in power generation, differential fuel costing and its implications on sharing of units, factors determine the selection of site for Power plants Workedout problems are also dealt
The maintenance cost of wind farms is one of the major factors influencing the prof- itability of wind projects. During preventive maintenance, the shutdown of wind turbines results in downtime wind energy losses. Appropriate determination of when to perform maintenance and which turbine(s) to maintain can reduce the overall downtime losses sig- nificantly. This paper uses a wind farm power generation model to evaluate downtime energy losses during preventive maintenance for a given group of wind turbines in the en- tire array. Wakes effects are taken into account to accurately estimate energy production over a specified time period. In addition to wind condition, the influence of wake effects is a critical factor in determining the selection of turbine(s) under maintenance. To min- imize the overall downtime loss of an offshore wind farm due to preventive maintenance, an optimal scheduling problem is formulated that selects the maintenance time of each turbine. Weather conditions are imposed as constraints to ensure the safety of mainte- nance personnel, transportation, and tooling infrastructure. A genetic algorithm is used to solve the optimal scheduling problem. The maintenance scheduling is optimized for a utility-scale offshore wind farm with 25 turbines. The optimized schedule not only reduces the overall downtime loss by selecting the maintenance dates when wind speed is low, but also considers the wake effects among turbines. Under given wind direction, the turbines under maintenance are usually the ones that can generate strong wake effects on others during certain wind conditions, or the ones that generate relatively less power being under excessive wake effects.
Neil Garrigan: Electric Drive Technology Considerations for Aircraft Propulsion EnergyTech2015
EnergyTech2015.com
Track 2, Session 3 HYBRID ELECTRIC POWER FOR AERONAUTIC PROPULSION PANEL Monday, November 30
Moderator: Michael Heil, Ohio Aerospace Institute
This panel explored benefits and technology challenges associated with distributed, hybrid electric propulsion for future subsonic aeronautic vehicles. Panel members included aeronautics propulsion industry, NASA, and the DoD.
James Felder, NASA Glenn Research Center
John Nairus, Air Force Research Lab, Chief Engineer Power & Controls Division
Neil Garrigan, GE Aviation
Meyer Benzakein, OSU - Aeronautic
Track Two: New Technologies for Solving the Energy Puzzle Where are the breakthroughs? How will new and emerging technologies provide solutions for society energy needs? How can these be effectively integrated with existing legacy systems?
In this presentation, I’ll describe the general scheme of power plant with including :
1. Schemetic Arrangment of Steam Turbine
2. Pros. & Cons. of Steam Turbine
3. Schemetic Arrangment of Gas Power Plant
4. Pros. & Cons. of Gas Power Plant
5. Pros. & Cons. of Nuclear Power Plant
6. Schemetic Arrangment of Soler (PV) System
7. Types of Renewable & Non-renewable Energy
The performance expectations for commercial wind turbines, from a variety of geograph- ical regions with differing wind regimes, present significant techno-commercial challenges to manufacturers. The determination of which commercial turbine types perform the best under differing wind regimes can provide unique insights into the complex demands of a concerned target market. In this paper, a comprehensive methodology is developed to explore the suitability of commercially available wind turbines (when operating as a group/array) to the various wind regimes occurring over a large target market. The three major steps of this methodology include: (i) characterizing the geographical variation of wind regimes in the target market, (ii) determining the best performing turbines (in terms of minimum COE accomplished) for different wind regimes, and (iii) developing a metric to investigate the performance-based expected market suitability of currently available tur- bine feature combinations. The best performing turbines for different wind regimes are determined using the Unrestricted Wind Farm Layout Optimization (UWFLO) method. Expectedly, the larger sized and higher rated-power turbines provide better performance at lower average wind speeds. However, for wind resources higher than class-4, the perfor- mances of lower-rated power turbines are fairly competitive, which could make them better choices for sites with complex terrain or remote location. In addition, turbines with direct drive are observed to perform significantly better than turbines with more conventional gear-based drive-train. The market considered in this paper is mainland USA, for which wind map information is obtained from NREL. Interestingly, it is found that overall higher rated-power turbines with relatively lower tower heights are most favored in the onshore US market.
In this paper, we develop a flexible design platform to ac- count for the influences of key factors in optimal planning of commercial scale wind farms. The Unrestricted Wind Farm Lay- out Optimization (UWFLO) methodology, which avoids limit- ing assumptions regarding the farm layout and the selection of turbines, is used to develop this design platform. This paper presents critical advancements to the UWFLO methodology to allow the synergistic consideration of (i) the farm layout, (ii) the types of commercial turbines to be installed, and (iii) the ex- pected annual distribution of wind conditions at a particular site. We use a recently developed Kernel Density Estimation (KDE) based method to characterize the multivariate distribution of wind speed and wind direction. Optimization is performed using an advanced mixed discrete Particle Swarm Optimization algo- rithm. We also implement a high fidelity wind farm cost model that is developed using a Radial Basis Function (RBF) based response surface. The new optimal farm planning platform is applied to design a 25-turbine wind farm at a North Dakota site. We found that the optimal layout is significantly sensitive to the annual variation in wind conditions. Allowing the turbine-types to be selected during optimization was observed to improve the annual energy production by 49% compared to layout optimiza- tion alone.
Unit-V-Power Plant Economics and Environment.pptxprakash0712
Power tariff types, load distribution parameters, load curve – comparison of site selection criteria – relative merits and demerits – capital and operating cost of different power plants – pollution control technologies including waste disposal options for coal and nuclear power plants.
OZ Assignment Help leading in Assignment services in Australia, ECE464 Power Electronics Assignment Solution discuss renewable energy source, energy facility
A review of thermoelectric generators for waste heat recovery in marine appli...ManabSaha6
Power and energy demands are increasing for current and future marine vessels (including commercial and naval ships), while the maritime industry is facing challenges associated with rising fuel costs and tightening emission legislation. To mitigate the challenges, the installed power generation unit (i.e., engine) will likely need to be complemented by a mix of energy-efficient plant, waste-energy recovery technologies, smart-power system configuration, and energy-storage technologies.
In our recently published review article in Sustainable Energy Technologies and Assessments (SETA) journal, we have provided insights (including concepts, applications and technological advancements) into Thermoelectric Generators (TEG) as waste heat recovery (WHR) technology applicable to maritime platforms and to address the challenges faced by current and future marine vehicles.
This paper has covered more recent advances in TEG application to marine platforms and has demonstrated the potential of TEG-based technology on maritime platforms’ capability enhancement and guides future research.
Energy auditing and energy efficiency indicatorsCETN
Principles of Energy Auditing
Auditing process summary
Undertaking an Energy Audit in house
Commissioning a commercial Audit
Equipment for auditing
Results and dissemination
Barriers to implementation of energy efficiency
Questions and answer session
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 slide gives information about Energy Production by various sources. The energy consumption by various sectors has also been given. Electricity consumption by various loads in a house is also discussed.
In this slide show Magneto-Hydro-Dynamic Power Generator and Hydrogen Fuel Cell Energy Source are explained.
An experimental case study of implementation of MHD power plant is discussed.
Various applications of fuel cells are stated. The graph showing growth in energy generation using Fuel cells is given.
The slide give information about Geothermal and Biomass Energy Source. The working of Geothermal Power Plant is provided. Geothermal map of India is given.
Conversion of Biomass into electricity is explained. Map showing Biomass Energy Potential of India is included.
The information about first Integrated Geothermal and Biomass Plant in the World is given.
The slides gives information about solar and wind energy source. History of photovoltaic cell is also given. The animation of PV Cell working is included. Maps and statistics related to solar is discussed. The Duck curve is explained.
Operation wind power plant is given. Related map and graph is given.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
1. Plant Economics
Prof. Swapnil Y. Gadgune, Department of Electrical Engineering, PVPIT, Budhgaon, Sangli
Photo Credit:
mckinsey.com
2. LOCATION OF POWER PLANTS
• The location of hydroelectric power plants is usually predetermined
by the availability of water and the water head which is utilized.
3. LOCATION OF POWER PLANTS
• For conventional base load thermal power plants, the following
factors are to be considered:
1) Availability of cooling water (if cooling towers
are used the possibility of adequate make-up
water).
2) Availability of fuel (water, rail or pipe connection
to the fuel source, and the cost of fuel
transport).
3) Distance from the center of gravity of load
demand.
4) Cost of land (including space for extension,
maintenance workshop and storage yard).
5) Character of soil.
6) Main wind direction and water currents in
cooling water source (sea, lake or river) in order
to minimize air and water pollution, and other
ecological considerations.
7) With coal-fired stations, disposal of ash.
8) If the plant is erected far from a town,
accommodation for staff.
9) Rail and road connections.
10) Security considerations.
4. LOCATION OF POWER PLANTS
• For nuclear power plants two additional factors are to be considered:
1. Density of population in the vicinity.
2. Danger of earthquakes.
5. POWER PLANT ECONOMICS
• A power plant should provide a reliable supply of electricity at minimum
cost to the consumer. The cost per 𝑘𝑊ℎ𝑛𝑒𝑡 (annual amount of electricity
sent out by a power plant) is determined by:
1. Fixed costs (FC), mainly interest, depreciation, insurance, taxes,
depending on the capital invested, i.e. on the construction costs of the
plant including the cost of the land.
2. Operation and maintenance (O & M) costs covering salaries and wages,
overhauling of equipment, repairs including spare parts, water,
lubricating oil, chemicals and miscellaneous expenses.
3. Fuel costs, dependent on the amount of electricity generated.
4. 𝑘𝑊ℎ𝑛𝑒𝑡 of electricity sent out per year.
6. POWER PLANT ECONOMICS
• The total annual costs (𝐶𝑡) in a power plant can be calculated from:
𝐶𝑡 = (
𝐼+𝐷+𝑇
100
)𝐶𝑐 + 𝑊 + 𝑅 + 𝑀 + 𝐶𝑓………(1)
Where, 𝐼- interest %
𝐷- depreciation %
𝑇- taxes and insurances %
𝐶𝑐- construction cost
𝑊- wages and salaries
𝑅- Repairs (maintenance)
𝑀- miscellaneous
𝐶𝑓- fuel cost
7. POWER PLANT ECONOMICS
• The annual amount of electricity sent out by a power plant (𝑘𝑊ℎ𝑛𝑒𝑡)
is given by
𝑘𝑊ℎ𝑛𝑒𝑡 = 𝑘𝑊𝑖𝑛𝑠𝑡 × 8760 × (1 −
𝐿𝑎𝑢𝑥
100
) × 𝑛……….(2)
Where,
𝑘𝑊𝑖𝑛𝑠𝑡- rated or installed output of generators
𝐿𝑎𝑢𝑥- power consumption by auxiliaries %
𝑛- plant capacity factor
8. POWER PLANT ECONOMICS
• In order to calculate the electric power cost to a consumer, in
addition to the production cost (fixed cost, operation and
maintenance, and fuel cost), the transmission cost, distribution cost,
administrative expenses, and return or profit on the investment have
to be taken into consideration.
9. POWER PLANT ECONOMICS
• A measure for the reliability of a power plant is the forced outage rate
defined by the annual ratio of
𝑓𝑜𝑟𝑐𝑒𝑑 𝑜𝑢𝑡𝑎𝑔𝑒 ℎ𝑜𝑢𝑟𝑠
𝑠𝑒𝑟𝑣𝑖𝑐𝑒 ℎ𝑜𝑢𝑟𝑠 + 𝑓𝑜𝑟𝑐𝑒𝑑 𝑜𝑢𝑡𝑎𝑔𝑒 ℎ𝑜𝑢𝑟𝑠
• As forced outages raise operation and maintenance costs,
• Proven reliability of equipment and regular preventive maintenance
work are essential, not only to guarantee electric supply but also for
the overall economy of the power plant.
10. POWER PLANT ECONOMICS
• The costs, however, have a continuous upward trend due to monetary inflation,
rising fuel prices and increased demand for measures protecting the
environment.
• The cost of power generation can be reduced by
(a) selecting equipment of longer life and proper capacities,
(b) running the power station at high load factor,
(c) increasing the efficiency of the power plant,
(d) carrying out proper maintenance of power plant equipment to avoid plant
breakdowns,
(e) keeping proper supervision, since good supervision is reflected in lesser
breakdowns and extended plant life, and
(f) using a plant of simple design that does not need highly skilled personnel.
11. References
• P K Nag, "POWER PLANT ENGINEERING", Fourth Edition (Book),
McGraw Hill Education (India) Private Limited, NEW DELHI