System Integration and Optimization for Large Scale Oxy-fuel Combustion Systems

2018 ◽  
pp. 223-238
Author(s):  
Bo Jin ◽  
Haibo Zhao ◽  
Zhaohui Liu
Keyword(s):  
System Integration ◽  
Large Scale ◽  
Fuel Combustion ◽  
Combustion Systems

scholarly journals Survey Analysis of Robust and Real-Time Multi-Lane and Single Lane Detection in Indian Highway Scenarios

2021 ◽  
Vol 309 ◽  
pp. 01117
Author(s):  
A. Sai Hanuman ◽  
G. Prasanna Kumar
Keyword(s):  
Neural Network ◽  
System Integration ◽  
Large Scale ◽  
Feature Learning ◽  
Semantic Segmentation ◽  
Lane Detection ◽  
Learning Approaches ◽  
Survey Analysis ◽  
Lane Recognition ◽  
Continuous Frames

Studies on lane detection Lane identification methods, integration, and evaluation strategies square measure all examined. The system integration approaches for building a lot of strong detection systems are then evaluated and analyzed, taking into account the inherent limits of camera-based lane detecting systems. Present deep learning approaches to lane detection are inherently CNN's semantic segmentation network the results of the segmentation of the roadways and the segmentation of the lane markers are fused using a fusion method. By manipulating a huge number of frames from a continuous driving environment, we examine lane detection, and we propose a hybrid deep architecture that combines the convolution neural network (CNN) and the continuous neural network (CNN) (RNN). Because of the extensive information background and the high cost of camera equipment, a substantial number of existing results concentrate on vision-based lane recognition systems. Extensive tests on two large-scale datasets show that the planned technique outperforms rivals' lane detection strategies, particularly in challenging settings. A CNN block in particular isolates information from each frame before sending the CNN choices of several continuous frames with time-series qualities to the RNN block for feature learning and lane prediction.

Experiments in Large Scale Combustion Systems and the Characterization of the Burning Equipments

1993 ◽  
pp. 893-902
Author(s):  
João Cassiano ◽  
Manuel Heitor ◽  
António Moreira ◽  
Tito Silva
Keyword(s):  
Large Scale ◽  
Combustion Systems

scholarly journals Large Photovoltaic Power Plants Integration: A Review of Challenges and Solutions

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3798 ◽  
Author(s):  
Mansouri ◽  
Lashab ◽  
Sera ◽  
Guerrero ◽  
Cherif
Keyword(s):  
System Integration ◽  
Power Plants ◽  
Large Scale ◽  
System Stability ◽  
Pv System ◽  
Pv Systems ◽  
Large Scale Integration ◽  
Voltage Limit ◽  
The Stability ◽  
Scale Integration

Renewable energy systems (RESs), such as photovoltaic (PV) systems, are providing increasingly larger shares of power generation. PV systems are the fastest growing generation technology today with almost ~30% increase since 2015 reaching 509.3 GWp worldwide capacity by the end of 2018 and predicted to reach 1000 GWp by 2022. Due to the fluctuating and intermittent nature of PV systems, their large-scale integration into the grid poses momentous challenges. This paper provides a review of the technical challenges, such as frequency disturbances and voltage limit violation, related to the stability issues due to the large-scale and intensive PV system penetration into the power network. Possible solutions that mitigate the effect of large-scale PV system integration on the grid are also reviewed. Finally, power system stability when faults occur are outlined as well as their respective achievable solutions.

scholarly journals Emission Behaviors of Inorganic Ultrafine Particles during Zhundong Coal Oxy-Fuel Combustion with Characterized Oxygen Input Fractions Comparable to Air Combustion

2018 ◽  
Vol 8 (9) ◽  
pp. 1486 ◽  
Author(s):  
Bin Fan ◽  
Chang Wen ◽  
Xianpeng Zeng ◽  
Jianqun Wu ◽  
Xin Yu
Keyword(s):  
Ultrafine Particles ◽  
Large Scale ◽  
Temperature Drop ◽  
Fuel Combustion ◽  
Low Rank ◽  
High Yield ◽  
Drop Tube ◽  
Aerodynamic Diameter ◽  
Ca 50 ◽  
Zhundong Coal

Zhundong low-rank coal is very likely to be utilized extensively in oxy-fired boilers in the near future. Its PM10 (particulate matter with an aerodynamic diameter of ≤10 μm) emission behaviors during oxy-fuel combustion need to be carefully studied before its large-scale use. The present study examines the emission behaviors of inorganic ultrafine particles (PM0.5, with an aerodynamic diameter of ≤0.5 μm), as well as PM10 during the combustion of Zhundong coal in air and oxy-fuel conditions (O2/CO2) at three characterized O2 input fractions, i.e., 21, 27 and 32 vol.%. The combustion experiments were carried out in a high-temperature drop-tube furnace (HDTF) at a combustion temperature of 1500 °C. The results show that PM0.5 is composed of Na, S, Mg and Ca, with total fractions of ~90%, while PM0.5–10 (with an aerodynamic diameter between 0.5 and 10 μm) predominantly contains Ca (~50–65%). At three characterized oxygen fractions during oxy-fuel combustion (OXY21, 27 and 32), the promoted O2 fraction was found to increase the yields of both PM0.5 and PM0.5–10. A higher particle-burning temperature and a lower CO2 fraction promote the reactions of both organically bound elements and inorganic minerals, increasing the partitioning of Mg and Ca and causing an increased yield of PM0.5. The yield of PM0.5 from air is high and similar to that from OXY32 while the yield of PM0.5–10 from air is similar to that from OXY27. The high yield of PM0.5 from air is mainly generated by the highest yields of Ca in four conditions.

Computational Modelling of Self-Excited Combustion Instabilities

2000 ◽  
Author(s):  
Steve J. Brookes ◽  
R. Stewart Cant ◽  
Iain D. J. Dupere ◽  
Ann P. Dowling
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Heat Release ◽  
Large Scale ◽  
Computational Modelling ◽  
Combustion Efficiency ◽  
Design Tool ◽  
Premixed Combustion ◽  
Combustion Instabilities ◽  
Combustion Systems

It is well known that lean premixed combustion systems potentially offer better emissions performance than conventional non-premixed designs. However, premixed combustion systems are more susceptible to combustion instabilities than non-premixed systems. Combustion instabilities (large-scale oscillations in heat release and pressure) have a deleterious effect on equipment, and also tend to decrease combustion efficiency. Designing out combustion instabilities is a difficult process and, particularly if many large-scale experiments are required, also very costly. Computational fluid dynamics (CFD) is now an established design tool in many areas of gas turbine design. However, its accuracy in the prediction of combustion instabilities is not yet proven. Unsteady heat release will generally be coupled to unsteady flow conditions within the combustor. In principle, computational fluid dynamics should be capable of modelling this coupled process. The present work assesses the ability of CFD to model self-excited combustion instabilities occurring within a model combustor. The accuracy of CFD in predicting both the onset and the nature of the instability is reported.

Mechatronic System Integration for Senior Students

2006 ◽  
Author(s):  
Dana Kulic ◽  
Elizabeth Croft
Keyword(s):  
System Integration ◽  
Interface Design ◽  
Large Scale ◽  
Discrete Event ◽  
Practical Experience ◽  
Theoretical Background ◽  
Mechatronic System ◽  
Autonomous Sensor ◽  
Field Programmable ◽  
Laboratory Component

This paper describes the design and implementation of a senior level course in mechatronic system integration for students completing a mechatronics engineering option in mechanical engineering. The course is designed to give students theoretical and practical experience with a large-scale mechatronic system, and a variety of control, sensing and actuating architectures. The lecture component of the course introduces students to large-scale project integration and interface design, as well as system architecture design. Students learn about alternative control hardware platforms commonly used in industry, such as motion control hardware, field programmable gate arrays and programmable logic controllers. The selection and system integration of various industrial sensors, including vision, are presented. Students also learn about networked control and discrete event control approaches for large-scale industrial systems. The course contains a significant practical laboratory component. In a series of laboratory sessions, students develop and implement subsystems of a part sorting machine, culminating in the integration and demonstration of an automated, autonomous, sensor driven electro-mechanical system for sorting randomly delivered parts. The course offers students a theoretical background as well as significant practical experience with large scale mechatronics systems, as would be encountered in industry. This paper describes the lecture and laboratory content, and the experiences from the first offering of the course.

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