scholarly journals Potential and analysis of an osmotic power plant in the Magdalena River using experimental field-data

Energy ◽  
2019 ◽  
Vol 180 ◽  
pp. 548-555 ◽  
Author(s):  
Jacobo M. Salamanca ◽  
Oscar Álvarez-Silva ◽  
Fernando Tadeo
Keyword(s):  
Power Plant ◽  
Field Data ◽  
Experimental Field ◽  
Magdalena River

Improvement of the Exergoeconomic “Fuel-Impact” Analysis for Acceptance Tests in Power Plants

1999 ◽  
Author(s):  
Alejandro Zaleta-Aguilar ◽  
Armando Gallegos-Muñoz ◽  
Antonio Valero ◽  
Javier Royo
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Field Data ◽  
Impact Analysis ◽  
Performance Test ◽  
Point Of View ◽  
Steam Turbines ◽  
The Real ◽  
Classical Procedure ◽  
Acceptance Tests

Abstract This work builds on the previous work on “Exergoeconomics Fuel-Impact” developed by Torres (1991), Valero et. al. (1994), and compares it with respect to the Performance Test Code (PTC’s) actually applied in power plants (ASME/ANSI PTC-6, 1970). With the objective of proposing procedures for PTC’s in power plant’s based on an exergoeconomics point of view. It was necessary to validate the Fuel-Impact Theories, and improve the conceptual expression, in order to make it more applicable to the real conditions in the plant. By mean of a program using simulation and field data, it was possible to validate and compare the procedures. This work has analyzed an example of a 110 MW Power Plant, in which all the exergetic costs have been determined for the steam cycle, and a fuel-impact analysis has been developed for the steam turbines at the design and off-design conditions. The result of the fuel-impact analysis is compared with respect to a classical procedure related in ASME-PTC-6.

Asymmetry Analysis of Water Level Measured on Two Ends of Drum Boiler

2010 ◽  
Vol 148-149 ◽  
pp. 1421-1426
Author(s):  
Bo Zhou ◽  
Chao Yang Fei
Keyword(s):  
Power Plant ◽  
Water Level ◽  
Field Data ◽  
Natural Circulation ◽  
Feed Water ◽  
Related Factors ◽  
Drum Boiler ◽  
Measurement Systems ◽  
Water Flows ◽  
Asymmetry Analysis

Control of the water level in the drum of the boiler system is a critical operation consideration, because asymmetric dynamics of water level measured leads to measuring errors. This phenomenon is testified by field data from a 400t/h drum boiler with natural circulation in a power plant of China. Some equations are developed and several related factors are focused on, and two of which become critical ones accounting for asymmetry of measured value. With the study of structure of distribution pipes in drum, it is found that feed-water flows distributed on the opposite ends of drum are obviously asymmetric, where measurement systems are positioned. When more feed-water is supplied at one end of drum, the rate of steam in water and water temperature become lower, and measured level get higher. Through the simulation, the important factors for asymmetric of water level are found out, which is necessary to minimize the measuring errosrs.

Utilizing the Purified Orbit Curve Technical in AP1000 NPP Turbine Diagnosis (Monitoring) Systems

2013 ◽  
Author(s):  
Peidi Han
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Field Data ◽  
Spline Interpolation ◽  
Vibration Signal ◽  
Monitoring Systems ◽  
Diagnosis Accuracy ◽  
Turbine Shaft ◽  
Filter Prototype

To improve the diagnosis accuracy and self-adaptability of steam turbine diagnosis systems in AP1000 NPP, this article attempts to apply a new method which unifies digital filter and stimulant filter into the filter processing of turbine Shaft vibration signal in Nuclear Power Plant. According to the process of power plant field data guideline, 4-level Butterworth filter prototype is used to resolve noise influence on original vibration signal. Supported by Matlab ANN Tools and Delphi, this study uses “spline” interpolation in the Process of orbit curve; with an ideal smooth effect achieved after compliance, this practice is proved that it can enhance the recognition effect of in Sanmen AP1000 Nuclear Power Plant TDM(Turbine Diagnosis Systems) monitoring functions.

scholarly journals Why Can Simple Operation and Maintenance (O&M) Practices in Large-Scale Grid-Connected PV Power Plants Play a Key Role in Improving Its Energy Output?

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3798
Author(s):  
Hamid Iftikhar ◽  
Eduardo Sarquis ◽  
P. J. Costa Branco
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Field Data ◽  
Large Scale ◽  
Low Cost ◽  
Plant Performance ◽  
Energy Output ◽  
Weather Data ◽  
Real Field ◽  
Operation And Maintenance

Existing megawatt-scale photovoltaic (PV) power plant producers must understand that simple and low-cost Operation and Maintenance (O&M) practices, even executed by their own personal and supported by a comparison of field data with simulated ones, play a key role in improving the energy outputs of the plant. Based on a currently operating 18 MW PV plant located in an under-developing South-Asia country, we show in this paper that comparing real field data collected with simulated results allows a central vision concerning plant underperformance and valuable indications about the most important predictive maintenances actions for the plant in analysis. Simulations using the globally recognized software PVSyst were first performed to attest to the overall power plant performance. Then, its energy output was predicted using existing ground weather data located at the power plant. Compared with the actual plant’s annual energy output, it was found that it was underperforming by −4.13%, leading to a potential monetary loss of almost 175,000 (EUR)/year. Besides, an analysis of the O&M power plant reports was performed and compared to the best global practices. It was assessed that the tracker systems’ major issues are the forerunner of the most significant PV power plant underperformance. In addition, issues in inverters and combiner boxes were also reported, leading to internal shutdowns. In this case, predictive maintenance and automated plant diagnosis with a bottom-up approach using low-cost data acquisition and processing systems, starting from the strings level, were recommended.

scholarly journals NUMERICAL MODELING OF CONSTITUENT TRANSPORT IN BAY SYSTEMS

1972 ◽  
Vol 1 (13) ◽  
pp. 123
Author(s):  
R.G. Dean ◽  
R.B. Taylor
Keyword(s):  
Numerical Modeling ◽  
Power Plant ◽  
Numerical Model ◽  
Field Data ◽  
Cooling Water ◽  
Numerical Procedure ◽  
Biscayne Bay ◽  
Water Requirements ◽  
Dispersive Model ◽  
Bodies Of Water

This paper describes the results of a numerical modeling study of the Lower Biscayne Bay system in southeast Florida. The purpose of the study is to predict the effects of cooling water intake and discharge associated with the Turkey Point Power Plant facility, which comprises two fossil-fueled units and two nuclear units. When completed the system will generate 2450 megawatts. One of the original (but since abandoned) operating plans considered would require intake by the plant ranging from 4250 to 10,600 cfs of Bay water for cooling and dilution purposes to be returned via a six-mile canal to the Bay system. The Lower Biscayne Bay system comprises several bodies of water of 6 to 10 ft. depth which are connected over shallow limestone and mud sills. The numerical model incorporates an area of approximately 36 by 12 nautical miles divided into grid squares of 2 nautical miles on each side. Available field data are used to calibrate the model. The results of the calibration and predictions of the effects of the plant withdrawal and discharge on the natural bay system flows are presented. The primary features of interest of the study include: 1) the effect of the plant cooling water requirements on the Bay hydromechanics, including recirculation and flows through small inlets connecting the Bay to the Ocean; and 2) the concentration distributions of conservative constituents in the Bay system as affected by advective and dispersive processes. The numerical procedure consists of a non-dispersive and a dispersive model which are employed sequentially.

Research of Improved Credibility Theory for the Fault Diagnosis of Condenser

2012 ◽  
Vol 433-440 ◽  
pp. 6764-6769
Author(s):  
Jia Yuan Hu ◽  
Yan Huang ◽  
Shun An Cao
Keyword(s):  
Fault Diagnosis ◽  
Power Plant ◽  
Field Data ◽  
Credibility Theory ◽  
Efficient Operation ◽  
Rational Expression ◽  
Theoretical Significance ◽  
Diagnosis Method ◽  
Mathematical Equations

Research on fault diagnosis of condenser has a great significance to safe and efficient operation of power plant. In view of shortcomings of existing diagnosis methods, this paper proposed a fault diagnosis method of condenser based on improved credibility theory，and applied the merits of credibility reasoning to the fault diagnosis of condenser. By proposing a more rational expression way of symptoms and some mathematical equations which can convert field data into symptoms’ credibility, this paper provided a solid basis for acquiring symptoms’ information accurately. Meanwhile, the setting method of rule confidence of credibility rule was improved, which can make the process of credibility reasoning closer to human experts thinking. Experiment results show that this model meets the demand of condenser fault diagnosis well and has important theoretical significance and practical value.

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