scholarly journals Estimated Power Tariffmodel of Rayalaseema Thermal Power Plant 2x210 MW

2020 ◽  
Vol 9 (3) ◽  
pp. 939-946
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Andhra Pradesh ◽  
Thermal Power ◽  
Electric Energy ◽  
Value Added ◽  
Electrical Energy ◽  
Strict Adherence ◽  
Statistical Time ◽  
Installed Capacity

From times immemorial it is a conversant rudimentary fact that the State Electricity Boards of India were cash strapped with no exception of bifurcated Andhra Pradesh. To avert from such precarious and deteriorating economic situations of widening gap between increasing trend of cost of supply of electricity and meagre power tariffs, the restructuring of Andhra Pradesh State Electricity Board became quite inevitable according to the Electricity Reform Act of 1998 to ensure its commercial viability and efficiency. To usher gainful insights regarding rapid emergence of competitive markets in Thermal Electric Energy Industry, this research paper computes power tariff in Generation segment for Rayalaseema Thermal Power Plant with installed capacity of 2x210 MW both during Pro-Privatization Period and during Privatization Period with strict adherence to Central Electricity Regulation Commission ` (CERC) Guidelines. The estimated price per Kilo Watt Hour of electricity generated during pro privatization and during privatization was Rs.1.29 Paise per Kilowatt Hour and Rs.2.55 Paise per Kilowatt Hour. These calculations were based on the price opinionated and discriminatory techniques of pricing policies in partially monopolistically structure of Thermal Electricity Generation Industry. It comprises of recuperation of twelve-monthly static concerns and fixed expenditures that constitutes Interest on Principal amount rented, downgrading of assets, maneuvering operations and conservation measures of overwhelming expenditures, (eliminating energy feedstock), chargeable rate on income figured , interest on operational wealth at standard norm of production of electrical energy or voltage , productivity and lucrativeness of electric business in relation with equivalence or parity and energy inconstant duties and charges including feedstock fee with recouping for each unit or kilowatt of electric energy multifarious delivered. Value added to this, further estimations were carried out for projected power tariff for the tenure period ranging from 2019-2020 to 2031-2032 using statistical time series trend analysis. During all these future years similar trend is likely to be exhibited with estimated power tariff at Rs. 1.95 Paise per Kilo Watt Hour.

Flue-Gas Desulfurization Technology and its Equipment

2013 ◽  
Vol 788 ◽  
pp. 466-470 ◽  
Author(s):  
Hui Di Hao ◽  
Tian Zhai ◽  
Yong Fang Zhang ◽  
Jian Yong Lei ◽  
Tian Qi Cheng ◽  
...  
Keyword(s):  
Power Plant ◽  
Flue Gas ◽  
Thermal Power Plant ◽  
Rapid Development ◽  
Thermal Power ◽  
Electric Energy ◽  
Flue Gases ◽  
Flue Gas Desulfurization ◽  
Control Technology ◽  
Main Component

The peak of power consumption will be brought by the rapid development of the industry. Thermal power is still the main component of electric energy at present. More and more attention has been paid on the atmospheric pollution caused by the thermal power plant in our country. The sulfur dioxide (SO2), one of the thermal power plant flue gases, is dangerous to the environment and human. Effective SO2 control technology can not only reduce the environmental pollution but also the sulfur can be recovered in order to conserve resources.

scholarly journals Possible efficiency improvement by application of various operating regimes for the cooling water pump station at thermal power plant - Bitola

2012 ◽  
Vol 16 (1) ◽  
pp. 263-270
Author(s):  
Vladimir Mijakovski ◽  
Vangelce Mitrevski ◽  
Nikola Mijakovski
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Cooling Tower ◽  
Thermal Power ◽  
Cooling Water ◽  
Operating Characteristics ◽  
Pump Station ◽  
The Republic ◽  
Installed Capacity ◽  
Operating Regimes

Thermal power plant (TPP) - Bitola is the largest electricity producer in the Republic of Macedonia with installed capacity of 691 MW. It is a lignite fired power plant, in operation since 1982. Most of the installed equipment is of Russian origin. Power plant's cold end comprised of a condenser, pump station and cooling tower is depicted in the article. Possible way to raise the efficiency of the cold end by changing the operating characteristics of the pumps is presented in the article. Diagramic and tabular presentation of the working characteristics of the pumps (two pumps working in paralel for one block) with the pipeline, as well as engaged power for their operation are also presented in this article.

HASIL AUDIT ENERGI DI INDUSTRI TEKSTIL

2010 ◽  
Vol 6 (1) ◽  
Author(s):  
Achmad Hasan
Keyword(s):  
Power Plant ◽  
Power Quality ◽  
Power Factor ◽  
Electric Energy ◽  
Harmonic Distortion ◽  
Electrical Energy ◽  
Total Harmonic Distortion ◽  
Energy Audit ◽  
Hydro Power ◽  
Installed Capacity

Energy audit is one way to plan for optimizing the supply and use of energyneeded by the industry. Portrait of the use of electrical energy used in textileindustry supplied from PT.PLN (Persero) with the power contract for 23000 kVAand POJ Power (Mini Hydro Power Plant, Jatiluhur) with installed capacity of5800 kVA. Especially for electric energy supplied from POJ Power, status ofelectricity continues to be a contract with the manager of POJ Power Jatiluhur.Based on the results of measurement of power quality with PQA Hioki 3197 is asdescribed in the previous section, it can be seen that: (a) Voltage magnitude atsome of the panel is high (about 250 V), (b) The power factor is very low, (c)Generally, voltage and current THD (Total Harmonic Distortion) is very high.Kata kunci: energi, listrik, penghematan, filter harmonik, faktor daya

scholarly journals Performance evaluation of a large-scale thermal power plant based on the best industrial practices

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yousef S. H. Najjar ◽  
Amer Abu-Shamleh
Keyword(s):  
Power Plant ◽  
Thermal Efficiency ◽  
Thermal Power Plant ◽  
Large Scale ◽  
Best Practice ◽  
Thermal Power ◽  
Capacity Factor ◽  
Target Value ◽  
Target Values ◽  
Installed Capacity

AbstractThe aim of this study is to assess and evaluate the performance of a large-scale thermal power plant (TPP). The performance rating was conducted in compliance with the statistical principles. The data for this analysis were obtained for a TPP with an installed capacity of 375 MW during a span of 8 years (2010–2017). Four parameters were used to evaluate the performance of the TPP including the availability, the reliability, the capacity factor, and the thermal efficiency. These parameters were calculated using a set of equations and then compared to the international best practices and target values. The results indicate that approximately 91% of the expected capacity was available throughout the studied period against the industry best practice of 95%. However, the average TPP’s reliability was found to be approximately 95% against the target value of 99.9%. Furthermore, the average capacity factor throughout the studied period is 70% as against the international value of 40–80%. Moreover, the thermal efficiency of the TPP is 40% against the target value of 49%. Due to the outage hours and malfunctions, the power losses throughout the studied period reached 846 MW. Overall, the analysis indicates that the studied TPP is not within the scope of the best industrial practices.

Predictive Modeling of Integrated Boiler Unit for a Coal Fired Thermal Power Plant

2017 ◽  
Vol 18 (3) ◽  
Author(s):  
Sreepradha Chandrasekharan ◽  
Rames Chandra Panda ◽  
Bhuvaneswari Natrajan Swaminathan
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Electrical Energy ◽  
Analysis Tool ◽  
Regression Equations ◽  
Boiler Unit ◽  
Super Heater ◽  
Statistical Analysis Tool

AbstractMajority of the power plants in the world is based on coal. Pulverized coal is used to generate pressurized steam to drive turbines where-by chemical energy is converted to electrical energy. Modeling of the steam generator in thermal power plant plays a major role as it comprises of interactive units like economizer, drum and super-heater. Experiments across different units of the power plant are carried out to build correlations between input and output. Main objective of the work is to compare performances arising out by considering the system-model as three individual units or as one integrated boiler unit. In order to do this, multiple regression equations are derived based on quadratic models. The dependability of the pressure and temperature on the other variables are analyzed using the statistical analysis tool and validation of the derived model with the plant data is performed. Significance of regressions were evaluated based on ANOVA which in combination with standardized residuals distribution and their means for confidence levels of 95 and 99 %, helped in validating the model. Operating parameters are optimized using RSM supported by design of experiments with Box-Behnken design. These models will be helpful in understanding and designing the safe operation and control of thermal power plants.

scholarly journals Design Technique for Load-Sharing and Monitoring of a Power Plant Using an Intelligent Control Technique

2021 ◽  
Vol 9 (11) ◽  
pp. 1687-1698
Author(s):  
Kindjock J. J.
Keyword(s):  
Power Plant ◽  
Power Supply ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Electrical Energy ◽  
Load Sharing ◽  
Total Load ◽  
Load Demand ◽  
Generating Capacity ◽  
Study Case

Abstract: The application of Data Technology (IT) has been growing rapidly recently. IT utilized to monitor flowing power and distributing electrical energy which is produced by thermal power plant. This project explains how to build and design interface system. Electrical energy needs to be monitored in order to keep energy following. Single Board Computer (SBC), microcontroller, sensors, and transceivers are used in logging electrical power for this project. Following to the reliable need of an efficient power supply and the concern about poor electricity power supply, deregulation, consistent overload on already existing overstressed power supply system which has become a major concern to the social economic needs. The study case system generating capacity consist of 10 units of 2000KVA (20,000VA) = 16000W for power factor of 0.8 which is tied to the exiting load demand of 30MW capacity. Research identity mischarge between the generating capacity and the load demand requirement. That the generator can only a total load capacity of 15MW at one engagement on rationalization and subsequently take the next 15MW capacity to the generator supply. This sequence of operation has put the study zone into regular percentage (blackout) there by negatively affecting the economy activities of the area. This research work has proposed for an additional capacity of 2000 KVA (20 MVA =16 MW) generating power plant for a giving power factor of 0.8 on the view to notice the existing total load of 30MW without any form of rationalization and percentage (blackout) in order to improve the power quality and voltage profile without problem in the day-to-day occurrence activities. The concern for poor power grid supply in the study case (Bertoua community) for the given load of about 16M capacity are taken due consideration with 2MWW capacity thermal power plant on the view to propose solution to improve the quality of energy supply to the Bertoua community and environ. The system is designed with electronic circuitry that can be used to sense/monitor voltage, current, frequency, temperature, pressure and cool level. The design system is modeled in proteus and matrix laboratory (MATLAB) Environment with the application of isochronous mode of control with (10 unit of 2000kVA thermal plant. The improved mode of control (Isochronous technique) was preferred over droop type of generator load sharing techniques, because the improved versus allows and maintained constants speed and frequency regardless of gradual building up of the load to the peak demand scenarios. The modeled Simulink block are configured as an intelligent system multiple generators set in parallel state to monitor and control the gradual load increase from consumer-end to the generators capacity of 2mVA thermal power plant in order to allow load of 1×2000kVA, 2×2000kVA, 3×2000kVA, 4×2000kVA, 5×2000kVA, 6×2000kVA, 7×2000kVA, 8×2000kVA, 9×2000kVA, 10×2000kVA. Since the control system will become an essential factor for reliability of power plants and electrical distribution networks consumption and electric utility at large on the view to investigate appropriate load sharing and balancing, load scheduling, load forecasting, fuel-consumption pattern, optimizing generation capacity in order to optimize energy saving, costsaving and performance. Keywords: Load-Sharing, Monitoring

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