قائمة الطعام
This paper investigates the optimization control of the coal-fired unit and proposes a reinforcement learning control framework using process data of coal-fired unit. The core of the proposed method is to employ the historical operation data to train the policy network by the supervised learning algorithm, and then the pretrained policy is ...
Optimization via constant incremental quality also has significant implications on the protocols used for real-time control of coal preparation facilities; for example, the management of a large coal operation recently installed an on-line analyzer to monitor the ash content of their clean coal products. The analyzer was deemed necessary ...
L.Wen et al.: Research on coal volume detection and energy-saving optimization intelligent control method of belt conveyor based on laser and binocular visual fusion application of electronic belt ...
In a thermal power plant, the boiler–turbine control belongs to a typical process control system that has attracted the earliest MPC research attention, e.g. Hogg's group constituted generalised predictive control (GPC), and also neural network-based MPC . From then on, various advanced MPCs have been developed for thermal power …
The optimization of WFR control strategy based on the operation characteristics of the unit during transients is promising. On the basis of our previous work [33], the coal-fired supercritical power plant dynamic …
@article{osti_910137, title = {Optimization of Trona/Limestone Injection for SO2 Control in Coal-Fired Boilers}, author = {}, abstractNote = {Mobotec USA develops and markets air pollution control systems for utility boilers and other combustion systems. They have a particular interest in technologies that can reduce NOx, SOx, and mercury …
DOI: 10.3233/JIFS-179090 Corpus ID: 149555491; Optimization of coal blending process control based on fuzzy self-tuning @article{Yin2019OptimizationOC, title={Optimization of coal blending process control based on fuzzy self-tuning}, author={Qiang Yin and Jiabing Hu and Hangming Tong and Shaoyun Song and …
Using tar as fuel and bismuth oxide as oxygen carrier, a liquid phase-based tar chemical looping gasification (LT-CLG) process model is designed and shown as Fig. 2.After the model establishment, the data sample in the process are extracted for correlation analysis, and the results are used to determine the optimization sequence of operating …
Several pollution control devices have been proposed so far as Best Available Techniques (BATs) to retrofit coal combustion plants in order to minimize their environmental impact. In this work we have developed a systematic method based on multi-objective optimization for the optimal design of pollution control devices in coal-fired …
The oldest and most common optimization technique involves the calculation of all possible combinations of clean coal yield as a function of clean coal quality (Peng & Luckie, 1991). This approach can be demonstrated using a simple plant …
REAL RESULTS WITH GE OPERATIONS OPTIMIZATION. EFFICIENCY. Up to 1% reduction in heat rate. FLEXIBILITY. Up to 5% per minute ramp** Up to a 4 hour start** * …
The coal control in China is of high importance not only for carbon mitigation to achieve the peaking target, but also very critical for local pollutant reduction and air quality improvement. ... Optimization of primary energy consumption. The energy conservation measures have strong effect on restructuring the primary energy …
IEA Clean Coal Centre – Advanced sensors and smart controls for coal-fired power plant 6 Contents Preface 3 Abstract 4 Acronyms and abbreviations 5 Contents 6 List of Figures 8 List of Tables 10 1 Introduction 11 2 Overview of coal plant control 13 2.1 Sensors and actuators 13 2.1.1 Smart sensors 14 2.2 Control loops 15
The proposed scheme was subjected to a cofiring scenario, whereby the switching between two fuels (i.e., biomass and coal) is reflected in the flue gas composition. ... as shown in Fig. 1) to solve another dynamic optimization problem that determines control actions for the plant. The control actions are computed such that the controlled ...
A multilayer structure with direct control and optimization is presented for the control of ball mill coal pulverizing system. The novelty of the strategy lies in that a static model is …
Optimization, simulation, and control of coal preparation plants - ScienceDirect. Article preview. Abstract. The Coal Handbook (Second edition) Towards …
After 180 d of extraction, the residual pressure of the coal seam before and after optimization is 0.46 MPa and 0.045 MPa, respectively, which matches the on-site verification, meaning a good extraction effect has been achieved to prevent and control coal and gas protrusion. Statistical calculation of parameters such as gas extraction …
Therefore, the optimization analysis of the coal-blending model and its control system based on the intelligent sensor network and genetic algorithm has become a research hotspot.
Coal moisture control process is a critical process in energy saving for pollution reduction and improving production efficiency and the quality of coke. The RBF …
The conventional control is utilized as a reference to compare the performance improvement on ramp rates of coal fired power plants using nonlinear model predictive control (NMPC). The paper is structured as follows: In Section 2 the nonlinear model equations are derived and the control objectives are defined.
The instability control of deep mining roadway is currently dominated by ejection and grouting, as well as floor support, which contradicts the economic and excavation efficiency of production. Taking the failure site of Xin'an Coal Mine in China as an example, this paper systematically analyzes the failure characteristics of supporting …
The application of the optimal control of Coal Flotation indicates a high concentrate recovery and a decrease of the reagent consumption to ensure a highly efficient …
neural network control parameter optimization is adopted to improve the system's ability to adapt to the load and improve the performance of system. Keywords: Load inertia BP neural network Control parameter optimization 1 Introduction During the operation of mobile coal sampling robot, load variation, change of joint
Unmanned helicopter for mission inspection has good application value in intelligent coal mining, and attitude control is important. In this paper, membrane computing is introduced to realize attitude optimization control of an unmanned helicopter. First, we give the application scenarios of unmanned helicopters in coal mines. …
Li Qiang. 700MW unit frequency modulation auxiliary service control system optimization upgrade.Southern Energy Construction.2021(8):114-121. ... Shanxi Coking Coal Science &Technology. 2021(5):49-53.
2. Related work. There are many corresponding studies on the design and control system scheme of coal blending process. Z Zhong [] uses the design control system scheme of coal blending process to carry out serial optimization design process, and uses fuzzy controller to control coal blending.By establishing a stable model of coal blending, the …
Novel approach in combustion modelling and optimization in coal-fired boiler. • R&D and implementation project that was carried on on real boiler. • Artificial immune optimization system integrated with temperature profile measurement. • Proper control of the fireball shape resulted in 0.27% boiler efficiency increase.
State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and T echnology, Huainan 232001, China Correspondence should be ...
AVS Unit 1 gross unit load versus net unit heat rate showed improvements of up to 1.2% due to combustion optimization. Courtesy: Siemens. Unit 2 showed similar improvements. This included a gain ...
Semantic Scholar extracted view of "Comprehensive optimization of coal chemical looping gasification process for low CO2 emission based on multi-scale simulation coupled experiment" by Z. Cui et al. ... Dynamic optimal control of coal tar chemical looping gasification based on process modelling and intelligent screening. Zhe Li Zijian Liu ...
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