scholarly journals Maintenance Tools applied to Electric Generators to Improve Energy Efficiency and Power Quality of Thermoelectric Power Plants

Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1091 ◽  
Author(s):  
Milton Fonseca Junior ◽  
Ubiratan Holanda Bezerra ◽  
Jandecy Cabral Leite ◽  
Jorge Laureano Moya Rodríguez
Keyword(s):  
Energy Efficiency ◽  
Thermoelectric Power ◽  
Power Quality ◽  
Power Plants ◽  
Improve Energy Efficiency ◽  
Thermoelectric Power Plants ◽  
Electric Generators

scholarly journals Application ofT2Control Charts and Hidden Markov Models in Condition-Based Maintenance at Thermoelectric Power Plants

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Emilija Kisić ◽  
Željko Đurović ◽  
Branko Kovačević ◽  
Vera Petrović
Keyword(s):  
Thermoelectric Power ◽  
Hidden Markov Models ◽  
Control Charts ◽  
Power Plants ◽  
Markov Models ◽  
Hidden Markov ◽  
Condition Based Maintenance ◽  
Thermoelectric Power Plants ◽  
Financial Losses

An innovative approach to condition-based maintenance of coal grinding subsystems at thermoelectric power plants is proposed in the paper. Coal mill grinding tables become worn over time and need to be replaced through time-based maintenance, after a certain number of service hours. At times such replacement is necessary earlier or later than prescribed, depending on the quality of the coal and of the grinding table itself. Considerable financial losses are incurred when the entire coal grinding subsystem is shut down and the grinding table found to not actually require replacement. The only way to determine whether replacement is necessary is to shut down and open the entire subsystem for visual inspection. The proposed algorithm supports condition-based maintenance and involves the application ofT2control charts to distinct acoustic signal parameters in the frequency domain and the construction of Hidden Markov Models whose observations are coded samples from the control charts. In the present research, the acoustic signals were collected by coal mill monitoring at the thermoelectric power plant “Kostolac” in Serbia. The proposed approach provides information about the current condition of the grinding table.

DETERMINING THE APPARENT COST OF WATER FOR THERMOELECTRIC POWER PLANTS

2018 ◽  
Author(s):  
Achyut Paudel ◽  
Joshua Richey ◽  
Jason Quinn ◽  
Todd M. Bandhauer
Keyword(s):  
Thermoelectric Power ◽  
Power Plants ◽  
Thermoelectric Power Plants

scholarly journals Maintenance management program through the implementation of predictive tools and TPM as a contribution to improving energy efficiency in power plants

DYNA ◽  
2015 ◽  
Vol 82 (194) ◽  
pp. 139-149 ◽  
Author(s):  
Milton Fonseca-Junior ◽  
Ubiratan Holanda-Bezerra ◽  
Jandecy Cabral-Leite ◽  
Tirso L. Reyes-Carvajal
Keyword(s):  
Energy Efficiency ◽  
Thermoelectric Power ◽  
Cost Reduction ◽  
Power Plants ◽  
Management Program ◽  
Diagnostic Methods ◽  
Maintenance Management ◽  
Predictive Tools ◽  
The Mean ◽  
Mean Time

This paper presents an application method of a Maintenance Management Program through the implementation of predictive tools and the Total Productivity Maintenance (TPM) methodology as a contribution for the energy efficiency improvement in thermoelectric power plants. The results of the vibration analysis, lubricating oil condition and of the thermograph analysis are registered as diagnostic methods. The innovative advance in this paper was the application of four pillars from the TPM methodology at the control of the internal combustion engines efficiency at a thermoelectric power plant. This research has the objective to provide a more reliable maintenance process through the implementation of the measurement and control of the operating parameters of the plant resulting in a better management by reducing the stops due unforeseen problems. Some results of the methodology application were shown like: annual maintenance cost reduction due corrective maintenance, increase of the mean time between failure (MTBF) and reduction of the mean time to repair (MTTR) in all applied areas. These results reflected in a more reliable power generation without putting the facilities of the plant at risk with an annual cost reduction for the company.

Small Scale Prototype Biomass Drying System for Co-Combustion With Coal

2013 ◽  
Author(s):  
Heather Roberts ◽  
Mitch Favrow ◽  
Jesse Coatney ◽  
David Yoe ◽  
Chenaniah Langness ◽  
...  
Keyword(s):  
Power Plant ◽  
Thermoelectric Power ◽  
Renewable Resources ◽  
Power Plants ◽  
Waste Heat ◽  
Coefficient Of Performance ◽  
Small Scale ◽  
Drying Time ◽  
Thermoelectric Power Plants ◽  
Drying System

Thermoelectric power plants burn thousands of tons of non-renewable resources every day to heat water and create steam, which drives turbines that generate electricity. This causes a significant drain on local resources by diverting water for irrigation and residential usage into the production of energy. Moreover, the use of fossil reserves releases significant amounts of greenhouse and hazardous gases into the atmosphere. As electricity consumption continues to grow and populations rise, there is a need to find other avenues of energy production while conserving water resources. Co-combusting biomass with coal is one potential route that promotes renewable energy while reducing emissions from thermoelectric power plants. In order to move in this direction, there is a need for a low-energy and low-cost system capable of drying materials to a combustion appropriate level in order to replace a significant fraction of the fossil fuel used. Biomass drying is an ancient process often involving the preservation of foods using passive means, which is economically efficient but slow and impractical for large-scale fuel production. This effort, accomplished as an undergraduate capstone design project, instead implements an active drying system for poplar wood using theorized waste heat from the power plant and potentially solar energy. The use of small-scale prototypes demonstrate the principles of the system at a significantly reduced cost while allowing for calculation of mass and energy balances in the analysis of drying time, Coefficient of Performance, and the economics of the process. Experimental tests illustrate the need to distribute air and heat evenly amongst the biomass for consistent drying. Furthermore, the rotation of biomass is critical in order to address the footprint of the system when placing next to an existing thermoelectric power plant. The final design provides a first step towards the refinement and development of a system capable of efficiently returning an amount of biomass large enough to replace non-renewable resources. Finally, an innovative methodology applied to the dryer is discussed that could recover water evaporated from the biomass and utilize it for agricultural purposes or within the power plant thermodynamic cycle.

scholarly journals Use of portable environmental sensors in the monitoring of the thermoelectric power plants operation

2020 ◽  
Vol 11 (6) ◽  
pp. 178-201
Author(s):  
Joaci Dos Santos Cerqueira ◽  
Helder Neves de Albuquerque ◽  
Mário Luiz Farias Cavalcanti ◽  
Francisco De Assis Salviano de Sousa
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Thermoelectric Power ◽  
Power Plants ◽  
Dew Point ◽  
Environmental Sensors ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Thermoelectric Power Plants ◽  
Thermoelectric Power Plant

Thermoelectric power plants can directly cause environmental impacts with respect to emissions of atmospheric gases caused by combustion for operation, being the main agents: unburned hydrocarbons, carbon oxides, sulfur oxides, nitrogen oxides, volatile organic compounds and material particulate. Thus, this research aimed to measure and compare the instantaneous levels of the chemical compounds CO2, CO, SO2, noise, air temperature, relative humidity, dew point temperature, wind speed and luminescence in two peri-urban areas of the surrounding a thermoelectric power plant in the interior of Paraíba, Brazil. To this end, data were collected using environmental sensors (a Garmin Gpsmap 62sc GPS camera 5mp; a Canon powershot SX60HS 16.1MP LCD 3.0 semi-professional digital camera, 65x optical zoom; an ITMCO2-600 meter for measuring CO2 and CO; one ITMP-600 multifunctional meter for AVG/MAX/MIN/DIF measurement, temperature measurement, humidity measurement, sound level measurement, luminescence measurement and wind speed measurement; and a GasAlert Extreme SO2 Gas detector to measure concentrations of sulfur in the environment), from October 2015 to March 2017, during daytime, between 7:00am to 9:00am, with weekly frequency, with instantaneous sampling measurements being collected at the collection points, near the thermoelectric power plant (Area 1) and close to the BR/104 highway (Area 2). The results showed that the records through the environmental sensors were not significant among the areas surveyed regarding the values of CO, CO2, SO2, air temperature, relative humidity, dew point temperature and luminescence. Regarding the wind speed, the two areas showed little variation. The noise levels in Area 1, on the other hand, during the operation of the thermoelectric power plant in its fullness, there was an increase above the permitted level, according to current Brazilian regulations, causing damage to the health of the inhabitants of its surroundings, in addition to harming the fauna of the surrounding area. around, mainly, the birds that are driven away by the noise, and, consequently, reducing the diversity of the avifauna surrounding the Thermoelectric. Thus, the use of environmental sensors to monitor the air quality of this area is very important, thus serving as a comparative support for future studies, as well as establishing the genesis for an environmental database in this metropolitan region of Campina Grande/PB, Brazil.

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