scholarly journals Power plant performance analysis and guidelines study. Appendix I. Recommended guideline for siting power plants

1978 ◽  
Author(s):  
R W Keller ◽  
A Bhatla ◽  
M J Smith
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Power Plants ◽  
Plant Performance

Solar Chimney Power Plant Performance Analysis in the Central Regions of Iran

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
A. Asnaghi ◽  
S. M. Ladjevardi ◽  
A. Haghparast Kashani ◽  
P. Saleh Izadkhast
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Solar Radiation ◽  
Power Plants ◽  
Plant Performance ◽  
Solar Chimney ◽  
Electrical Grid ◽  
Central Regions ◽  
Solar Chimney Power Plant ◽  
A Site

In the current study, the performance analysis of a solar chimney power plant expected to provide off-grid electric power demand for villages located in Iranian central regions is presented. High annual average of solar radiation and available desert lands in the central parts of Iran are factors to encourage the full development of a solar chimney power plant for the thermal and electrical production of energy for various uses. The interested is in Kerman where solar radiation is much better than other areas of Iran. The obtained results clear that solar chimney power plants having 244 m diameter can produce from 25.3 to 43.2 MW h of electricity power on a site like Kerman during different months of a year, according to an estimation calculated from the monthly average of sunning. This power production is sufficient for the needs of the isolated areas and can even used to feed the main electrical grid.

Performance Testing of Coal Fired Power Plants

2007 ◽  
Author(s):  
Shane E. Powers ◽  
William C. Wood
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Performance Test ◽  
Model Development ◽  
Performance Testing ◽  
The United States ◽  
Plant Performance ◽  
Cycle Performance ◽  
Test Program

With the renewed interest in the construction of coal-fired power plants in the United States, there has also been an increased interest in the methodology used to calculate/determine the overall performance of a coal fired power plant. This methodology is detailed in the ASME PTC 46 (1996) Code, which provides an excellent framework for determining the power output and heat rate of coal fired power plants. Unfortunately, the power industry has been slow to adopt this methodology, in part because of the lack of some details in the Code regarding the planning needed to design a performance test program for the determination of coal fired power plant performance. This paper will expand on the ASME PTC 46 (1996) Code by discussing key concepts that need to be addressed when planning an overall plant performance test of a coal fired power plant. The most difficult aspect of calculating coal fired power plant performance is integrating the calculation of boiler performance with the calculation of turbine cycle performance and other balance of plant aspects. If proper planning of the performance test is not performed, the integration of boiler and turbine data will result in a test result that does not accurately reflect the true performance of the overall plant. This planning must start very early in the development of the test program, and be implemented in all stages of the test program design. This paper will address the necessary planning of the test program, including: • Determination of Actual Plant Performance. • Selection of a Test Goal. • Development of the Basic Correction Algorithm. • Designing a Plant Model. • Development of Correction Curves. • Operation of the Power Plant during the Test. All nomenclature in this paper utilizes the ASME PTC 46 definitions for the calculation and correction of plant performance.

Modeling and Performance Analysis of Combined-Cycle Based Ship Power Plant

2010 ◽  
Vol 44-47 ◽  
pp. 1240-1245 ◽  
Author(s):  
Hong Zeng ◽  
Xiao Ling Zhao ◽  
Jun Dong Zhang
Keyword(s):  
Diesel Engine ◽  
Power Plant ◽  
Performance Analysis ◽  
Combined Cycle ◽  
Operating Conditions ◽  
Fuel Oil ◽  
Plant Performance ◽  
Oil Consumption ◽  
Combined Cycle Power Plant ◽  
Simulation Performance

For combined-cycle power plant performance analysis, a ship power plant mathematical model is developed, including diesel engine, controllable pitch propeller, exhaust gas boiler, turbine generator and shaft generator models. The simulation performance characteristic curves of diesel engine under various loads are given. Comparison of simulation results and experimental data shows the model can well predict the performance of diesel engine in various operating conditions. The specific fuel oil consumption contours of combined-cycle power plant and the relations between engine operating conditions and steam cycle parameters are given. The influence of diesel engine operating conditions to the overall performance of combined-cycle power plant is discussed.

Diagnostic Techniques for Improving Power Plant Performance, Reliability and Availability: A Case Study

2006 ◽  
Author(s):  
Komandur S. Sunder Raj
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Performance Monitoring ◽  
Monitoring Program ◽  
Heat Rate ◽  
Diagnostic Techniques ◽  
Lessons Learned ◽  
Plant Performance ◽  
Reliability And Availability

The objectives of an effective power plant performance monitoring program are several-fold. They include: (a) assessing the overall condition of the plant through use of parameters such as output and heat rate (b) monitoring the health of individual components such as the steam generator, turbine-generator, feedwater heaters, moisture separators/reheaters (nuclear), condenser, cooling towers, pumps, etc. (c) using the results of the program to diagnose the causes for deviations in performance (d) quantifying the performance losses (e) taking timely and cost-effective corrective actions (f) using feedback techniques and incorporating lessons learned to institute preventive actions and, (g) optimizing performance. For the plant owner, the ultimate goals are improved plant availability and reliability and reduced cost of generation. The ability to succeed depends upon a number of factors such as cost, commitment, resources, performance monitoring tools, instrumentation, training, etc. Using a case study, this paper discusses diagnostic techniques that might aid power plants in improving their performance, reliability and availability. These techniques include performance parameters, supporting/refuting matrices, logic trees and decision trees for the overall plant as well as for individual components.

Modeling and Control of Subcritical Coal-Fired Power Plant Components for Fault Detection

2020 ◽  
Author(s):  
Selorme Agbleze ◽  
Fernando V. Lima ◽  
Natarianto Indrawan ◽  
Rupendranath Panday ◽  
Paolo Pezzini ◽  
...  
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
Power Plants ◽  
Energy Content ◽  
Leak Detection ◽  
Primary Component ◽  
Plant Performance ◽  
Saturated Steam ◽  
Power Sources

Abstract Due to the increased penetration of renewable power sources into the electric grid, the current number of existing coal-fired power plants shifting from baseload to load-following operations has also increased. This shift creates challenges especially for the power industry as coal-fired power plants were not designed for ramping situations, leading to added stress on major components of these plants. This stress causes the system to degrade over time and eventually develop faults. As boilers are still the primary component that fails and causes forced outages, accurate characterization of faults and fractures of boilers is now becoming increasingly critical to reduce plant downtime and extend the plant life during cycling operations. This work focuses on modeling sections of a subcritical coal-fired power plant and proposes algorithms for fault detection in MATLAB/Simulink. The developed model simulates the process dynamics including steam and feedwater flow regulating valves, drum-boiler, and heat rate on the regulation of pressure, drum level and production of saturated steam. The model also simulates the dynamics of superheaters for increasing the energy content of steam, and a spray section for regulating the temperature of steam upstream of the high-pressure turbine to allow for power output adjustment within a given valve operating range. Furthermore, an extension to a leak detection framework proposed by co-authors in previous work is explored. The new framework includes a modification to the threshold analysis portion of the previous work. The extended framework is then applied to a subcritical coal-fired power plant model for leak detection. In particular, this framework analyzes mismatches or deviations in expected plant dynamics with an identified transfer function model. The mismatch is flagged after it exceeds a threshold. The developed algorithm thus aids in rapid detection of faults to reduce impeded plant performance. The results of this work will support real plant operations by providing an accurate characterization of faults in the operation of coal-fired power plants.

Metamodeling-Based Performance Analysis for Digital Power Plant

2018 ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Resource Sharing ◽  
Information Exchange ◽  
Power Plants ◽  
System Modeling ◽  
Simulation Platform ◽  
Whole Life Cycle ◽  
The Relationship

Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling and deciding the physical and working objects of power plants in the whole life cycle. Signals and management information of power plants will be digitized, so as to realize information exchange reliably and accurately and large-scale distributed resource sharing based on the network technology. Then optimization decisions and scientific guidance for plant operation will be proposed by intelligent expert system based on the digital resources. Therefore, the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of the modeling performance analysis of digital power plant. For instance, each unit of the system model has different dimensions and different type of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Metamodeling is potential to solve these problems. It defines the specification to describe a unit and the relationship between different elements. Compared with traditional modeling methodologies for thermal systems, metamodeling makes the model more standardized, and the relationship of the model elements is more explicit and better understood by the co-simulation partners. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the metamodeling method and the performance of the target plant has been analyzed from different aspects via field data. The metamodeling method consists of three parts: syntax definition, model development and algorithm definition. The result shows that the collaborate modeling and simulation platform can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

Performance Analysis and Optimization of Double-Flash Geothermal Power Plants

2006 ◽  
Vol 129 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Ahmet Dagdas
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Electricity Generation ◽  
Power Plants ◽  
Second Law ◽  
Western Turkey ◽  
Geothermal Power Plant ◽  
Base Points ◽  
Geothermal Power ◽  
Double Flash

One of the most important cycles for electricity generation from geothermal energy is the double-flash cycle. Approximately 25% of the total geothermal based electricity generation all over the world comes from double-flash geothermal power plants. In this paper, performance analysis of a hypothetical double-flash geothermal power plant is performed and variations of fundamental characteristics of the plant are examined. In the performance analysis, initially, optimum flashing pressures are determined, and energy and exergy values of the base points of the plant are calculated. In addition, first and second law efficiencies of the power plant are calculated. Main exergy destruction locations are determined and these losses are illustrated in an exergy flow diagram. For these purposes, it is assumed that a hypothetical double-flash geothermal power plant is constructed in the conditions of western Turkey. The geothermal field where the power plant will be built produces geofluid at a temperature of 210°C and a mass flow rate of 200kg∕s. According to simulation results, it is possible to produce 11,488kWe electrical power output in this field. Optimum first and second flashing pressures are determined to be 530kPa and 95kPa, respectively. Based on the exergy of the geothermal fluid at reservoir, overall first and second law efficiencies of the power plant are also calculated to be 6.88% and 28.55%, respectively.

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