Carbon Capture by Fossil Fuel Power Plants: An Economic Analysis

2009 ◽  
Author(s):  
Ozge Islegen ◽  
Stefan J. Reichelstein
Keyword(s):  
Economic Analysis ◽  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
Fossil Fuel Power Plants

Carbon Capture by Fossil Fuel Power Plants: An Economic Analysis

2011 ◽  
Vol 57 (1) ◽  
pp. 21-39 ◽  
Author(s):  
Özge İşlegen ◽  
Stefan Reichelstein
Keyword(s):  
Economic Analysis ◽  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
Fossil Fuel Power Plants

Trade-off in emissions of acid gas pollutants and of carbon dioxide in fossil fuel power plants with carbon capture

Energy Policy ◽  
2007 ◽  
Vol 35 (8) ◽  
pp. 3991-3998 ◽  
Author(s):  
Evangelos Tzimas ◽  
Arnaud Mercier ◽  
Calin-Cristian Cormos ◽  
Stathis D. Peteves
Keyword(s):  
Carbon Dioxide ◽  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
Trade Off ◽  
Acid Gas ◽  
Fossil Fuel Power Plants

Transporting the Next Generation of CO2 for Carbon, Capture and Storage: The Impact of Impurities on Supercritical CO2 Pipelines

2008 ◽  
Author(s):  
Patricia N. Seevam ◽  
Julia M. Race ◽  
Martin J. Downie ◽  
Phil Hopkins
Keyword(s):  
Carbon Dioxide ◽  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
Carbon Capture And Storage ◽  
Transport Infrastructure ◽  
New Generation ◽  
The Impact ◽  
And Storage ◽  
Fossil Fuel Power Plants

Climate change has been attributed to greenhouse gases with carbon dioxide (CO2) being the major contributor. Most of these CO2 emissions originate from the burning of fossil fuels (e.g. power plants). Governments and industry worldwide are now proposing to capture CO2 from their power plants and either store it in depleted reservoirs or saline aquifers (‘Carbon Capture and Storage’, CCS), or use it for ‘Enhanced Oil Recovery’ (EOR) in depleting oil and gas fields. The capture of this anthropogenic (man made sources of CO2) CO2 will mitigate global warming, and possibly reduce the impact of climate change. The United States has over 30 years experience with the transportation of carbon dioxide by pipeline, mainly from naturally occurring, relatively pure CO2 sources for onshore EOR. CCS projects differ significantly from this past experience as they will be focusing on anthropogenic sources from major polluters such as fossil fuel power plants, and the necessary CO2 transport infrastructure will involve both long distance onshore and offshore pipelines. Also, the fossil fuel power plants will produce CO2 with varying combinations of impurities depending on the capture technology used. CO2 pipelines have never been designed for these differing conditions; therefore, CCS will introduce a new generation of CO2 for transport. Application of current design procedures to the new generation pipelines is likely to yield an over-designed pipeline facility, with excessive investment and operating cost. In particular, the presence of impurities has a significant impact on the physical properties of the transported CO2 which affects: pipeline design; compressor/pump power; repressurisation distance; pipeline capacity. These impurities could also have implications in the fracture control of the pipeline. All these effects have direct implications for both the technical and economic feasibility of developing a carbon dioxide transport infrastructure onshore and offshore. This paper compares and contrasts the current experience of transporting CO2 onshore with the proposed transport onshore and offshore for CCS. It covers studies on the effect of physical and transport properties (hydraulics) on key technical aspects of pipeline transportation, and the implications for designing and operating a pipeline for CO2 containing impurities. The studies reported in the paper have significant implications for future CO2 transportation, and highlight a number of knowledge gaps that will have to be filled to allow for the efficient and economic design of pipelines for this ‘next’ generation of anthropogenic CO2.

The promise of carbon capture and storage: evaluating the capture-readiness of new EU fossil fuel power plants

2011 ◽  
Vol 11 (1) ◽  
pp. 789-812 ◽  
Author(s):  
WINA GRAUS ◽  
MAURO ROGLIERI ◽  
PIOTR JAWORSKI ◽  
LUCA ALBERIO ◽  
ERNST WORRELL
Keyword(s):  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
Carbon Capture And Storage ◽  
And Storage ◽  
Fossil Fuel Power Plants

scholarly journals Synthetic solid oxide sorbents for CO2 capture: state-of-the art and future perspectives

2022 ◽  
Author(s):  
Ribooga Chang ◽  
Xianyue Wu ◽  
Ocean Cheung ◽  
Wen Liu
Keyword(s):  
Co2 Capture ◽  
Carbon Capture ◽  
Power Plants ◽  
Fossil Fuel ◽  
State Of The Art ◽  
Point Sources ◽  
Solid Oxide ◽  
Future Perspectives ◽  
Fossil Fuel Power Plants

Carbon capture is an important and effective approach to control the emission of CO2 from point sources such as fossil fuel power plants, industrial furnaces and cement plants into the...

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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