scholarly journals Oxidant measurements in western power plant plumes. Final report. Volume I. Technical analysis. [Fossil-fuel power plants]

1977 ◽  
Author(s):  
J. Ogren ◽  
D. Blumenthal ◽  
A. Vanderpol
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Fossil Fuel ◽  
Technical Analysis ◽  
Final Report ◽  
Western Power ◽  
Fossil Fuel Power Plants

AVAILABILITY OF AN INTERMITTENTLY REQUIRED SYSTEM: APPLICATION TO A FOSSIL FUEL POWER PLANT

2001 ◽  
Vol 08 (03) ◽  
pp. 259-269
Author(s):  
MARC BOUISSOU ◽  
YANNICK LEFEBVRE
Keyword(s):  
Mathematical Method ◽  
Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Fossil Fuel ◽  
Electricity Consumption ◽  
Production Loss ◽  
Fossil Fuel Power Plant ◽  
Definition Of ◽  
Fossil Fuel Power Plants

Electricité de France produces about 75% of its electricity with nuclear power plants. Some hydraulic plants and most fossil fuel power plants are used to pass electricity consumption peaks. Therefore these facilities are required only intermittently. For such systems, a breakdown does not result in a production loss during a standby period. This particular feature is not taken into account by conventional availability evaluation methods. The objective of this paper is to introduce a definition of availability which holds in such a context, and to describe a mathematical method suited to the calculation of this new definition of availability.

Using Integral Power Plant Diagnosis to Boost Maintenance Efficiency

2006 ◽  
Author(s):  
Luis R. Figueroa Ibarra ◽  
J. Hugo Rodri´guez Marti´nez ◽  
Ce´sar A. Romo Millares ◽  
Laura E. Sa´nchez Herna´ndez
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Fossil Fuel ◽  
Practical Method ◽  
Total Power ◽  
Economic Losses ◽  
Computer Tool ◽  
Whole Plant ◽  
Fossil Fuel Power Plants

Significant decrements in generated power at fossil fuel power plants occur in the few months following annual maintenance which, besides causing economic losses for the power plants, reduce their availability. In order to determine the causes of these decrements, it is a common practice to carry out tests to evaluate the performance of the equipment in which the problem supposedly originates. Because these tests are made individually in the equipment, it is not possible to have an integral vision of the plant operation as a whole and, therefore, the problem related to energy efficiency is not attacked from the root [1]. This paper shows a practical method using in-situ measurements and a commercial simulation computer tool that allows the power plant operators to make an integral thermodynamic assessment. It makes possible to identify the causes of efficiency decrease (for the whole plant and its components) and to quantify the contribution of each equipment to the total power loss. As a result, priorities on the maintenance of the equipment can be determined to tackle the most important energy losses, and obtaining a total solution to the problem of energy decrement. The paper includes the results obtained from the application of this methodology to assess a 158 MW fossil fuel power plant unit in Mexico.

Solvent Selection and Recycling for Carbon Absorption in a Pulverized Coal Power Plant

2010 ◽  
Vol 4 (1) ◽  
Author(s):  
R. Reed ◽  
P. Kotechs ◽  
U. Diwekar
Keyword(s):  
Carbon Dioxide ◽  
Simulated Annealing ◽  
Power Plant ◽  
Power Plants ◽  
Fossil Fuel ◽  
Pulverized Coal ◽  
Coal Power Plant ◽  
Carbon Absorption ◽  
Coal Power ◽  
Fossil Fuel Power Plants

Simulated Annealing is used to optimize the solvent selection and recycling conditions for a carbon dioxide absorber in a pulverized coal power plant. The project uses Aspen Plus V7.1 to model a pulverized coal power plant and the carbon capture system. Simulated Annealing is introduced via the CAPE OPEN feature in Aspen Plus to find the best combination to absorb the most carbon dioxide while using the least amount of power for carbon absorption. With this optimal configuration, retrofitting carbon absorption into current power plants will cause a smaller drop in efficiency than that of the current practice. This project will lead to improved sustainability for fossil fuel power plants, by reducing the amount of emissions from fossil fuel power plants without a significant reduction in efficiency.

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.

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