Coal-fired steam turbine power plant using oxygen-rich air as oxidizer

Abstract Mitigation of harmful and greenhouse gas emissions produced by the coal combustion in thermal power plant is a topic goal. Reduction of the nitrogen oxides, sulfur and ash emissions makes remarkable progress but the carbon dioxide emission still meets considerable difficulties mostly caused by the low greenhouse gas content in the flue gas. A prospective solution to this problem may be the fuel combustion in oxygen-enriched air, which increases the flue gas carbon dioxide content. In this technology, the carbon dioxide content in flue gas is higher and this results in its easier capture. This paper presents the thermodynamic analysis results of a steam turbine power production facility that burns coal in the air with high oxygen content. The computer simulation shows that the oxygen content increase from 21 to 95.6% increases the carbon dioxide content in flue gas by a factor of 3.3 and lowers the power consumption for carbon dioxide capture by 11%. On the other side, the power consumption for pure oxygen production reduces the facility’s net efficiency from 28.54 to 21.59%.

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Application of Disk Aerators to Recarbonation of Alkaline Wastewater from Wet Gasification of Carbide

Water Science & Technology ◽

10.2166/wst.1991.0211 ◽

1991 ◽

Vol 24 (7) ◽

pp. 277-284 ◽

Cited By ~ 2

Author(s):

E. Gomólka ◽

B. Gomólka

Keyword(s):

Carbon Dioxide ◽

Liquid Phase ◽

Gas Phase ◽

Flue Gas ◽

Carbonic Acid ◽

Low Cost ◽

Flue Gases ◽

Carbon Dioxide Content ◽

Patent Claim ◽

Phase Dispersion

Whenever possible, neutralization of alkaline wastewater should involve low-cost acid. It is conventional to make use of carbonic acid produced via the reaction of carbon dioxide (contained in flue gases) with water according to the following equation: Carbon dioxide content in the flue gas stream varies from 10% to 15%. The flue gas stream may either be passed to the wastewater contained in the recarbonizers, or. enter the scrubbers (which are continually sprayed with wastewater) from the bottom in oountercurrent. The reactors, in which recarbonation occurs, have the ability to expand the contact surface between gaseous and liquid phase. This can be achieved by gas phase dispersion in the liquid phase (bubbling), by liquid phase dispersion in the gas phase (spraying), or by bubbling and spraying, and mixing. These concurrent operations are carried out during motion of the disk aerator (which is a patent claim). The authors describe the functioning of the disk aerator, the composition of the wastewater produced during wet gasification of carbide, the chemistry of recarbonation and decarbonation, and the concept of applying the disk aerator so as to make the wastewater fit for reuse (after suitable neutralization) as feeding water in acetylene generators.

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Seawater Scrubbing for the Removal of Sulfur Dioxide in a Steam Turbine Power Plant

ASME 2005 Power Conference ◽

10.1115/pwr2005-50051 ◽

2005 ◽

Cited By ~ 1

Author(s):

Akili D. Khawaji ◽

Jong-Mihn Wie

Keyword(s):

Power Plant ◽

Sulfur Dioxide ◽

Steam Turbine ◽

Flue Gas ◽

Operating Cost ◽

Cooling Water ◽

Cost Savings ◽

Fuel Oil ◽

So2 Emissions ◽

Heavy Fuel Oil

The most popular method of controlling sulfur dioxide (SO2) emissions in a steam turbine power plant is a flue gas desulfurization (FGD) process that uses lime/limestone scrubbing. Another relatively newer FGD technology is to use seawater as a scrubbing medium to absorb SO2 by utilizing the alkalinity present in seawater. This seawater scrubbing FGD process is viable and attractive when a sufficient quantity of seawater is available as a spent cooling water within reasonable proximity to the FGD scrubber. In this process the SO2 gas in the flue gas is absorbed by seawater in an absorber and subsequently oxidized to sulfate by additional seawater. The benefits of the seawater FGD process over the lime/limestone process and other processes are; 1) The process does not require reagents for scrubbing as only seawater and air are needed, thereby reducing the plant operating cost significantly, and 2) No solid waste and sludge are generated, eliminating waste disposal, resulting in substantial cost savings and increasing plant operating reliability. This paper reviews the thermodynamic aspects of the SO2 and seawater system, basic process principles and chemistry, major unit operations consisting of absorption, oxidation and neutralization, plant operation and performance, cost estimates for a typical seawater FGD plant, and pertinent environmental issues and impacts. In addition, the paper presents the major design features of a seawater FGD scrubber for the 130 MW oil fired steam turbine power plant that is under construction in Madinat Yanbu Al-Sinaiyah, Saudi Arabia. The scrubber with the power plant designed for burning heavy fuel oil containing 4% sulfur by weight, is designed to reduce the SO2 level in flue gas to 425 ng/J from 1,957 ng/J.

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High Flue Gas Flow Rate Tests for Removal and Recovery of Carbon Dioxide under Power Plant Effluent Gas Conditions

KAGAKU KOGAKU RONBUNSHU ◽

10.1252/kakoronbunshu.30.758 ◽

2004 ◽

Vol 30 (6) ◽

pp. 758-761

Author(s):

Tomio MIMURA ◽

Yasuyuki YAGI ◽

Masaki IIJIMA ◽

Ryuji YOSIYAMA ◽

Takahito YONEKAWA

Keyword(s):

Carbon Dioxide ◽

Power Plant ◽

Flow Rate ◽

Flue Gas ◽

Gas Flow ◽

Gas Flow Rate ◽

Power Plant Effluent ◽

Removal And Recovery

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Development on energy saving technology for flue gas carbon dioxide recovery by the chemical absorption method and steam system in power plant

Greenhouse Gas Control Technologies 4 ◽

10.1016/b978-008043018-8/50012-6 ◽

1999 ◽

pp. 71-76 ◽

Cited By ~ 6

Author(s):

Tomio Mimura ◽

Shichiro Satsumi ◽

Masaki Iijima ◽

Sigeaki Mitsuoka

Keyword(s):

Carbon Dioxide ◽

Power Plant ◽

Energy Saving ◽

Flue Gas ◽

Absorption Method ◽

Chemical Absorption ◽

Energy Saving Technology ◽

Steam System

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Comparative analyses of carbon dioxide capture from power plant flue gas surrogate by micro and mesoporous adsorbents

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2019.103115 ◽

2019 ◽

Vol 7 (3) ◽

pp. 103115 ◽

Cited By ~ 8

Author(s):

Iylia Idris ◽

Aman Abdullah ◽

Ili Khairunnisa Shamsudin ◽

Mohd Roslee Othman

Keyword(s):

Carbon Dioxide ◽

Power Plant ◽

Flue Gas ◽

Carbon Dioxide Capture ◽

Comparative Analyses

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LSTM-based soft sensor design for oxygen content of flue gas in coal-fired power plant

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220932390 ◽

2020 ◽

pp. 014233122093239

Author(s):

Hongguang Pan ◽

Tao Su ◽

Xiangdong Huang ◽

Zheng Wang

Keyword(s):

Power Plant ◽

Oxygen Content ◽

Flue Gas ◽

Oxygen Sensor ◽

Short Term Memory ◽

Support Vector ◽

Data Sets ◽

Auxiliary Variables ◽

Data Set ◽

Lstm Network

To address problems of high cost, complicated process and low accuracy of oxygen content measurement in flue gas of coal-fired power plant, a method based on long short-term memory (LSTM) network is proposed in this paper to replace oxygen sensor to estimate oxygen content in flue gas of boilers. Specifically, first, the LSTM model was built with the Keras deep learning framework, and the accuracy of the model was further improved by selecting appropriate super-parameters through experiments. Secondly, the flue gas oxygen content, as the leading variable, was combined with the mechanism and boiler process primary auxiliary variables. Based on the actual production data collected from a coal-fired power plant in Yulin, China, the data sets were preprocessed. Moreover, a selection model of auxiliary variables based on grey relational analysis is proposed to construct a new data set and divide the training set and testing set. Finally, this model is compared with the traditional soft-sensing modelling methods (i.e. the methods based on support vector machine and BP neural network). The RMSE of LSTM model is 4.51% lower than that of GA-SVM model and 3.55% lower than that of PSO-BP model. The conclusion shows that the oxygen content model based on LSTM has better generalization and has certain industrial value.

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