scholarly journals MODEL FOR ENERGY-EFFICIENCY AUDIT AND MONITORING OF THE COAL PROCESSING SYSTEMS IN THE FOSSIL-FUEL POWER PLANTS

2017 ◽  
Vol 22 (3) ◽  
Author(s):  
OGNYAN DINOLOV
Keyword(s):  
Energy Efficiency ◽  
Power Plants ◽  
Fossil Fuel ◽  
Electric Energy ◽  
Energy Audit ◽  
Coal Processing ◽  
Power Capacity ◽  
Aggregate Model ◽  
Relative Consumption ◽  
Fossil Fuel Power Plants

<p>Based on interpretation of existing developments, an aggregate model for energy audit and monitoring of the electric-energy efficiency in the coal processing systems in the fossil-fuel power plants is developed. The model takes into account the nominal power capacities of the available drives, by which the usability of the installed power capacity is considered and the interdependence between the power consumed and the relative consumption is avoided in determining the aggregate relative electric-power consumption. The model is justified by conducting an energy audit of a typical coal processing systems in operation. The results of this research can be a basis for the development of models of systems and systems for qualitatively new monitoring of the overall electric-energy efficiency in the fossil-fuel power plants.</p>

scholarly journals MODEL FOR ENERGY-EFFICIENCY AUDIT AND MONITORING OF THE COAL PROCESSING SYSTEMS IN THE FOSSIL-FUEL POWER PLANTS

2016 ◽  
Vol 22 (3) ◽  
pp. 24-33
Author(s):  
OGNYAN DINOLOV
Keyword(s):  
Energy Efficiency ◽  
Power Plants ◽  
Fossil Fuel ◽  
Electric Energy ◽  
Energy Audit ◽  
Coal Processing ◽  
Power Capacity ◽  
Aggregate Model ◽  
Relative Consumption ◽  
Fossil Fuel Power Plants

Based on interpretation of existing developments, an aggregate model for energy audit and monitoring of the electric-energy efficiency in the coal processing systems in the fossil-fuel power plants is developed. The model takes into account the nominal power capacities of the available drives, by which the usability of the installed power capacity is considered and the interdependence between the power consumed and the relative consumption is avoided in determining the aggregate relative electric-power consumption. The model is justified by conducting an energy audit of a typical coal processing systems in operation. The results of this research can be a basis for the development of models of systems and systems for qualitatively new monitoring of the overall electric-energy efficiency in the fossil-fuel power plants.

Boiler Implosion Control in Fossil Fuel Power Plants

1985 ◽  
Vol 107 (4) ◽  
pp. 267-269 ◽  
Author(s):  
S. Z. Wu ◽  
D. N. Wormley ◽  
D. Rowell ◽  
P. Griffith
Keyword(s):  
Power Plants ◽  
Fossil Fuel ◽  
Companion Paper ◽  
Simulation Techniques ◽  
Power Plant Boiler ◽  
Induced Draft Fan ◽  
Fossil Fuel Power Plants ◽  
Computer Simulation Techniques ◽  
Plant Boiler ◽  
Furnace Pressure

An evaluation of systems for control of fossil fuel power plant boiler and stack implosions has been performed using computer simulation techniques described in a companion paper. The simulations have shown that forced and induced draft fan control systems and induced draft fan bypass systems reduce the furnace pressure excursions significantly following a main fuel trip. The limitations of these systems are associated with actuator range and response time and stack pressure excursions during control actions. Preliminary study suggests that an alternative control solution may be achieved by discharging steam into the furnace after a fuel trip.

scholarly journals Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study

2019 ◽  
Vol 11 (9) ◽  
pp. 1117 ◽  
Author(s):  
Haopeng Zhang ◽  
Qin Deng
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
Power Plants ◽  
North China ◽  
Fossil Fuel ◽  
Environment Monitoring ◽  
Remote Sensing Images ◽  
Plant Monitoring ◽  
Working Status ◽  
Fossil Fuel Power Plants

The frequent hazy weather with air pollution in North China has aroused wide attention in the past few years. One of the most important pollution resource is the anthropogenic emission by fossil-fuel power plants. To relieve the pollution and assist urban environment monitoring, it is necessary to continuously monitor the working status of power plants. Satellite or airborne remote sensing provides high quality data for such tasks. In this paper, we design a power plant monitoring framework based on deep learning to automatically detect the power plants and determine their working status in high resolution remote sensing images (RSIs). To this end, we collected a dataset named BUAA-FFPP60 containing RSIs of over 60 fossil-fuel power plants in the Beijing-Tianjin-Hebei region in North China, which covers about 123 km 2 of an urban area. We compared eight state-of-the-art deep learning models and comprehensively analyzed their performance on accuracy, speed, and hardware cost. Experimental results illustrate that our deep learning based framework can effectively detect the fossil-fuel power plants and determine their working status with mean average precision up to 0.8273, showing good potential for urban environment monitoring.

Development of an Innovative Inspection Tool for Superheater Tubes in Fossil Fuel Power Plants

2021 ◽  
Vol 79 (7) ◽  
pp. 728-738
Author(s):  
Caique Lara ◽  
Julie Villamil ◽  
Anthony Abrahao ◽  
Aparna Aravelli ◽  
Guilherme Daldegan ◽  
...  
Keyword(s):  
Power Plants ◽  
Fossil Fuel ◽  
Small Diameter ◽  
Environmental Sensors ◽  
Multiple Components ◽  
Coiled Structure ◽  
Thickness Measurements ◽  
Fossil Fuel Power Plants ◽  
External Inspection ◽  
Modular Nature

Fossil fuel power plants are complex systems containing multiple components that require periodic health monitoring. Failures in these systems can lead to increased downtime for the plant, reduction of power, and significant cost for repairs. Inspections of the plant’s superheater tubes are typically manual, laborious, and extremely time-consuming. This is due to their small diameter size (between 1.3 and 7.6 cm) and the coiled structure of the tubing. In addition, the tubes are often stacked close to each other, limiting access for external inspection. This paper presents the development and testing of an electrically powered pipe crawler that can navigate inside 5 cm diameter tubes and provide an assessment of their health. The crawler utilizes peristaltic motion within the tubes via interconnected modules for gripping and extending. The modular nature of the system allows it to traverse through straight sections and multiple 90° and 180° bends. Additional modules in the system include an ultrasonic sensor for tube thickness measurements, as well as environmental sensors, a light detecting and ranging (LiDAR) sensor, and camera. These modules utilize a gear system that allows for 360° rotation and provides a means to inspect the entire internal circumference of the tubes.

Combustion control for elimination of nitric oxide emissions from fossil-fuel power plants

1971 ◽  
Vol 13 (1) ◽  
pp. 391-401 ◽  
Author(s):  
B.P. Breen ◽  
A.W. Bell ◽  
N. Bayard de Volo ◽  
F.A. Bagwell ◽  
K. Rosenthal
Keyword(s):  
Nitric Oxide ◽  
Power Plants ◽  
Fossil Fuel ◽  
Combustion Control ◽  
Nitric Oxide Emissions ◽  
Fossil Fuel Power Plants

Thermodynamic Analysis of Power Generation Cycles With High-Temperature Gas-Cooled Nuclear Reactor and Additional Coolant Heating Up to 1600 °C

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Michał Dudek ◽  
Zygmunt Kolenda ◽  
Marek Jaszczur ◽  
Wojciech Stanek
Keyword(s):  
Energy Efficiency ◽  
High Temperature ◽  
Thermodynamic Analysis ◽  
Power Plants ◽  
Nuclear Reactor ◽  
Electric Energy ◽  
High Energy ◽  
Medium Size ◽  
Outlet Temperature ◽  
High Temperature Gas

Nuclear energy is one of the possibilities ensuring energy security, environmental protection, and high energy efficiency. Among many newest solutions, special attention is paid to the medium size high-temperature gas-cooled reactors (HTGR) with wide possible applications in electric energy production and district heating systems. Actual progress can be observed in the literature and especially in new projects. The maximum outlet temperature of helium as the reactor cooling gas is about 1000 °C which results in the relatively low energy efficiency of the cycle not greater than 40–45% in comparison to 55–60% of modern conventional power plants fueled by natural gas or coal. A significant increase of energy efficiency of HTGR cycles can be achieved with the increase of helium temperature from the nuclear reactor using additional coolant heating even up to 1600 °C in heat exchanger/gas burner located before gas turbine. In this paper, new solution with additional coolant heating is presented. Thermodynamic analysis of the proposed solution with a comparison to the classical HTGR cycle will be presented showing a significant increase of energy efficiency up to about 66%.

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