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Analysis of Flue Gas Pollutants Deep-removal Technology in Coal-fired Power Plants

Xiao-lu Zhang

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 336-340 doi: 10.15302/J-FEM-2014061

Abstract: Developing Flue Gas Pollutant Deep-removal Technology (DRT) for coal-fired power plants for deep-removingthe necessity and existing problems of developing DRT suitable for China, this study focused on PM removalFinally, the flue gas pollutant removal system at a 2×660MW supercritical power plant was introduced,

Keywords： Coal-fired power plant     flue gas pollutants     deep-removal     PM2.5 removal    

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The R&D of Flue Gas Pollutants Deep-Removal Technology for Coal-fired Power Plants

Xiao-lu Zhang

Frontiers of Engineering Management 2015, Volume 2, Issue 4,   Pages 359-363 doi: 10.15302/J-FEM-2015057

Abstract: The flue gas pollutants deep-removal technology (DRT) focusing on PM removal is the prime method of

Keywords： coal-fired power plant     pollutants emission reduction     PM2.5     flue gas pollutants     deep-removal    

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Analysis of flue gas pollutants deep-removal technology for coal-fired power plant

Zhang Xiaolu

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 47-51

Abstract: pollutant control technology is difficult to remove PM2.5, the development of the Flue Gas Pollutants Deep-removalTechnology (DRT) for Coal-fired Power Plant for deep-removing PM2.5, SO2, SO3, heavy metals and othernecessity and existing problems of developing DRT suitable for China, this study focused on the PM2.5 removalFinally, introduces the flue gas pollutant removal system with an example of a 2×660 MW supercritical

Keywords： coal-fired power plant     flue gas pollutants     deep-removal     PM2.5 removal    

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Research progress in removal of trace carbon dioxide from closed spaces

ZHANG Yatao, FAN Lihai, ZHANG Lin, CHEN Huanlin

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 310-316 doi: 10.1007/s11705-007-0057-x

Abstract: In this paper, the removal of trace carbon dioxide from closed spaces through membrane process and biotransformationIt is found that higher CO removal efficiency can be obtained in biotransformation and membrane process

Keywords： removal efficiency     consumption     removal     CO removal     membrane microalgae    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learning

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Removal of SO

Xiaolei LI, Chunying ZHU, Youguang MA

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 2,   Pages 185-191 doi: 10.1007/s11705-013-1326-5

Abstract: In this work, the removal of SO from gas mixture with air and SO by ammonium bicarbonate aqueous solutionconcentration of ammonium bicarbonate, the SO inlet concentration of gas phase and the gas flow rate on the removalshorter the lasting time of SO completely removed in gas outlet, and then the faster the decrease in the removalsolution pH was less than the critical pH, it would sharply fall, resulting in a rapid decrease of the SO removalA theoretical model for predicting the SO removal rate has been developed by taking the chemical enhancement

Keywords： SO2 removal     bubble column reactor     removal rate     ammonium bicarbonate     absorbent    

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Scrap Iron Filings assisted nitrate and phosphate removal in low C/N waters using mixed microbial culture

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1358-2

Abstract:

• Microbes enhance denitrification under varying DO concentrations and SIF dosages.

Keywords： Scrap iron filing     Nitrate removal     Phosphate removal     Mixed culture denitrification     Zero valent iron    

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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: First, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controllingSecond, a new structure of DRL is designed by combining deep deterministic policy gradient and long short-termACNN is also compared with other published machine learning (ML) and deep learning (DL) methods.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Development and deep-sea exploration of the Haidou-1

Frontiers of Engineering Management 2023, Volume 10, Issue 3,   Pages 546-549 doi: 10.1007/s42524-023-0260-6

Abstract: Development and deep-sea exploration of the Haidou-1

Keywords： hadal zone     autonomous and remotely-operated vehicle     integrated exploration operation     deep dive exceeding    

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Prediction of bearing capacity of pile foundation using deep learning approaches

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 870-886 doi: 10.1007/s11709-024-1085-z

Abstract: This research compares the Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), Recurrent

Keywords： deep learning algorithms     high-strain dynamic pile test     bearing capacity of the pile    

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Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 69-75 doi: 10.1007/s11709-012-0146-x

Abstract: The stability of a gravity dam against sliding along deep-seated weak planes is a universal and importantThere is no recommended method for stability analysis of the dam on deep-seated weak planes under earthquakeis focused on searching a proper way to evaluate the seismic safety of the dam against sliding along deep-seatedweak planes and the probable failure modes of dam on deep-seated weak planes during earthquake.

Keywords： gravity dam     deep-seated weak planes     stability against sliding     earthquake    

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Mercury removal from flue gas using nitrate as an electron acceptor in a membrane biofilm reactor

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1454-y

Abstract:

Membrane bioreactor achieved mercury removal using nitrate as an electron

Keywords： Mercury removal     Oxygen     Ferrous sulfide     Transformation of mercury     Microbial community    

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Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 4,   Pages 516-535 doi: 10.1007/s11709-024-1040-z

Abstract: To address this issue, we explore the potential of deep learning (DL) to increase the efficiency of crack

Keywords： deep learning     crack segmentation     crack propagation     encoder−decoder     recurrent neural network    

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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Frontiers of Medicine 2022, Volume 16, Issue 3,   Pages 496-506 doi: 10.1007/s11684-021-0828-7

Abstract: In this paper, a hybrid model combining XGBoost with deep neural network is used to predict the fracture

Keywords： XGBoost     deep neural network     healthcare     risk prediction    

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Forecasting measured responses of structures using temporal deep learning and dual attention

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 832-850 doi: 10.1007/s11709-024-1092-0

Abstract: The key idea is to design a deep learning architecture to leverage the relationships, between external

Keywords： structural dynamic     time-varying excitation     deep learning     signal processing     response forecasting    

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Title Author Date Type Operation

Analysis of Flue Gas Pollutants Deep-removal Technology in Coal-fired Power Plants

Xiao-lu Zhang

Journal Article

The R&D of Flue Gas Pollutants Deep-Removal Technology for Coal-fired Power Plants

Xiao-lu Zhang

Journal Article

Analysis of flue gas pollutants deep-removal technology for coal-fired power plant

Zhang Xiaolu

Journal Article

Research progress in removal of trace carbon dioxide from closed spaces

ZHANG Yatao, FAN Lihai, ZHANG Lin, CHEN Huanlin

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Removal of SO

Xiaolei LI, Chunying ZHU, Youguang MA

Journal Article

Scrap Iron Filings assisted nitrate and phosphate removal in low C/N waters using mixed microbial culture

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Development and deep-sea exploration of the Haidou-1

Journal Article

Prediction of bearing capacity of pile foundation using deep learning approaches

Journal Article

Stability analysis on Tingzikou gravity dam along deep-seated weak planes during earthquake

Weiping HE, Yunlong HE

Journal Article

Mercury removal from flue gas using nitrate as an electron acceptor in a membrane biofilm reactor

Journal Article

Investigation of crack segmentation and fast evaluation of crack propagation, based on deep learning

Journal Article

Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis

Journal Article

Forecasting measured responses of structures using temporal deep learning and dual attention

Journal Article