Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35510
Yening Sun, Yao Wei
Model predictive control (MPC) is a highlighted control method for power electronic realm. For Matrix Converter (MC) with bidirectional switches and difficulty model, MPC has a complex structure and control process. A random switching frequency de-re-coupling current MPC method is proposed in this paper for a single-phase MC. A voltage function is obtained by the simplified and decoupled discrete-time model of MC, and a random switching frequency generating strategy is inserted to modulate function and to improve harmonic of MPC variable switching frequency. The principle effectiveness and advantages of the proposed method such as THD, settling times and static errors are verified by simulation results comparing with the conventional MPC and de-recoupling fixed switching frequency current MPC methods.
{"title":"A Random Switching Frequency De-Re- Coupling Current MPC Method for Single-Phase MC","authors":"Yening Sun, Yao Wei","doi":"10.12783/DTEEES/PEEES2020/35510","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35510","url":null,"abstract":"Model predictive control (MPC) is a highlighted control method for power electronic realm. For Matrix Converter (MC) with bidirectional switches and difficulty model, MPC has a complex structure and control process. A random switching frequency de-re-coupling current MPC method is proposed in this paper for a single-phase MC. A voltage function is obtained by the simplified and decoupled discrete-time model of MC, and a random switching frequency generating strategy is inserted to modulate function and to improve harmonic of MPC variable switching frequency. The principle effectiveness and advantages of the proposed method such as THD, settling times and static errors are verified by simulation results comparing with the conventional MPC and de-recoupling fixed switching frequency current MPC methods.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78550745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35482
Xiu Zhou, Ma Yunlong, Luo Yan, Tian Tian, Liu Weifeng, Xiuguang Li, He Ninghui, Zhenghua Yan, Ni Hui
In order to solve the problem that the accuracy of transformer condition assessment based on oil chromatographic data is not high, this paper adopts random forest to evaluate transformer state. In order to prevent the attribute values carried by the decision tree of the basic unit in the evaluation model from being too few and thus affecting the evaluation accuracy. The ratio of H2, CH4, C2H6, C2H4, C2H2, total hydrocarbon and various characteristic gases is used as the characteristic quantity, a stochastic forest optimization model for oil chromatography state assessment was constructedimmediately following the heading. It is compared with BP neural network and SVM, the test results of field oil chromatogram data show that the accuracy of random forest state assessment is 88.5%, which is better than BP and SVM, and the random forest assessment model has faster assessment speed, This paper provides technical support for the fast and accurate condition assessment of transformer.
{"title":"Study on Chromatographic Condition Assessment of Transformer Oil Based on Random Forest Model","authors":"Xiu Zhou, Ma Yunlong, Luo Yan, Tian Tian, Liu Weifeng, Xiuguang Li, He Ninghui, Zhenghua Yan, Ni Hui","doi":"10.12783/DTEEES/PEEES2020/35482","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35482","url":null,"abstract":"In order to solve the problem that the accuracy of transformer condition assessment based on oil chromatographic data is not high, this paper adopts random forest to evaluate transformer state. In order to prevent the attribute values carried by the decision tree of the basic unit in the evaluation model from being too few and thus affecting the evaluation accuracy. The ratio of H2, CH4, C2H6, C2H4, C2H2, total hydrocarbon and various characteristic gases is used as the characteristic quantity, a stochastic forest optimization model for oil chromatography state assessment was constructedimmediately following the heading. It is compared with BP neural network and SVM, the test results of field oil chromatogram data show that the accuracy of random forest state assessment is 88.5%, which is better than BP and SVM, and the random forest assessment model has faster assessment speed, This paper provides technical support for the fast and accurate condition assessment of transformer.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73191997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35506
Yixin Sun, Cheng Wang, Xiaobao Yu
Blockchain technology used widely in the financial field. As a representative of payment tools, Bitcoin impacted the monopoly of traditional finance and currency. As the key technology of Bitcoin operation, blockchain technology also has broad prospects in the energy field. Based on the analysis of the application prospects and related influences of blockchain technology in the field of energy and power, this paper puts forward an application model suitable for power grid enterprises and gives corresponding countermeasures and suggestions. 1 Blockchain technology features and application prospect judgment Blockchain technology is an open distributed database technology, which can manage data in time sequence and ensure that the data cannot be tampered. Blockchain technology establishes a spontaneous trust mechanism among multiple nodes, which can solve the demands of transaction information recording and sharing, trusted data exchange and business transmission among multiple entities in the business world, and is a new engine driving the development of digital economy and sharing economy. 1.1 Basic features of blockchain Technology The technical features of blockchain are mainly reflected in the following aspects: First, it forms a real and reliable data base. Blockchain is a kind of distributed database for background technicians. The traditional database has four classic operations: adding, deleting, modifying and querying. For the whole network ledger, the blockchain technology is equivalent to giving up the two options of deletion and modification, leaving only two operations of addition and query. Through the "block chain" structure such as block and list, and the corresponding time stamp to solidify the voucher, a set of linked and hard to tamper trusted data is formed. The second is to establish a cooperative foundation for multi-user participation. Blockchain technology realizes the openness and transparency of system operation rules through mathematical principles and program algorithms, and the data is stored on the chain, which cannot be tampered with, so that both sides of the transaction can reach trust through consensus without the endorsement of the third-party authority, and build a multiparty cooperation foundation.
{"title":"Research on the Application Prospect of Energy Blockchain in Power Grid Enterprises","authors":"Yixin Sun, Cheng Wang, Xiaobao Yu","doi":"10.12783/DTEEES/PEEES2020/35506","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35506","url":null,"abstract":"Blockchain technology used widely in the financial field. As a representative of payment tools, Bitcoin impacted the monopoly of traditional finance and currency. As the key technology of Bitcoin operation, blockchain technology also has broad prospects in the energy field. Based on the analysis of the application prospects and related influences of blockchain technology in the field of energy and power, this paper puts forward an application model suitable for power grid enterprises and gives corresponding countermeasures and suggestions. 1 Blockchain technology features and application prospect judgment Blockchain technology is an open distributed database technology, which can manage data in time sequence and ensure that the data cannot be tampered. Blockchain technology establishes a spontaneous trust mechanism among multiple nodes, which can solve the demands of transaction information recording and sharing, trusted data exchange and business transmission among multiple entities in the business world, and is a new engine driving the development of digital economy and sharing economy. 1.1 Basic features of blockchain Technology The technical features of blockchain are mainly reflected in the following aspects: First, it forms a real and reliable data base. Blockchain is a kind of distributed database for background technicians. The traditional database has four classic operations: adding, deleting, modifying and querying. For the whole network ledger, the blockchain technology is equivalent to giving up the two options of deletion and modification, leaving only two operations of addition and query. Through the \"block chain\" structure such as block and list, and the corresponding time stamp to solidify the voucher, a set of linked and hard to tamper trusted data is formed. The second is to establish a cooperative foundation for multi-user participation. Blockchain technology realizes the openness and transparency of system operation rules through mathematical principles and program algorithms, and the data is stored on the chain, which cannot be tampered with, so that both sides of the transaction can reach trust through consensus without the endorsement of the third-party authority, and build a multiparty cooperation foundation.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73681626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35486
Jialin Wang, Yang Yin
This paper analyzes the influence of the fundamental negative sequence component of the grid voltage on the output voltage of the variable frequency power supply, and points out that the fundamental negative sequence component of the grid voltage will not generate the fundamental negative sequence current component in the stator current of the induction motor, so when the stator winding fault is diagnosed, the influence of the negative sequence voltage of the grid does not need to be compensated. Based on the characteristic that the fundamental negative sequence current component in the stator current is converted into two times of the inverter output frequency component in the DC side current of the inverter, a stator fault diagnosis method based on the DC side current of the inverter is proposed. The method of connecting the short-circuit resistance between the two phases of the motor is used to simulate the nonmetallic short-circuit fault of the stator coil. The experimental results show that this method does not need to compensate the negative sequence voltage, and only needs to collect one current signal, and the algorithm is relatively simple, which is a simple and effective method.
{"title":"Stator Winding Fault Diagnosis Method Based on Dc Side Current of Inverter","authors":"Jialin Wang, Yang Yin","doi":"10.12783/DTEEES/PEEES2020/35486","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35486","url":null,"abstract":"This paper analyzes the influence of the fundamental negative sequence component of the grid voltage on the output voltage of the variable frequency power supply, and points out that the fundamental negative sequence component of the grid voltage will not generate the fundamental negative sequence current component in the stator current of the induction motor, so when the stator winding fault is diagnosed, the influence of the negative sequence voltage of the grid does not need to be compensated. Based on the characteristic that the fundamental negative sequence current component in the stator current is converted into two times of the inverter output frequency component in the DC side current of the inverter, a stator fault diagnosis method based on the DC side current of the inverter is proposed. The method of connecting the short-circuit resistance between the two phases of the motor is used to simulate the nonmetallic short-circuit fault of the stator coil. The experimental results show that this method does not need to compensate the negative sequence voltage, and only needs to collect one current signal, and the algorithm is relatively simple, which is a simple and effective method.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84681279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35460
Haizhen Ren, Dong Zhu, Deqing Xu
A catacondensed polyomino system is a chain polyomino system in which the joining of the centers of its adjacent cells forms a tree. Total independent set number is a graph invariant that has been studied extensively in statistical mechanics and mathematical chemistry. In this paper, we introduce a new graph vector at a given edge and get some recurrence relations on the total independent set numbers of the path-like polyomino systems. Based on these relations, the reduction formulas of computing the total independent set number of any catacondensed polyomino system via transfer matrices can be obtained.
{"title":"Total Independent Set Numbers on Catacondensed Polyomino Systems","authors":"Haizhen Ren, Dong Zhu, Deqing Xu","doi":"10.12783/DTEEES/PEEES2020/35460","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35460","url":null,"abstract":"A catacondensed polyomino system is a chain polyomino system in which the joining of the centers of its adjacent cells forms a tree. Total independent set number is a graph invariant that has been studied extensively in statistical mechanics and mathematical chemistry. In this paper, we introduce a new graph vector at a given edge and get some recurrence relations on the total independent set numbers of the path-like polyomino systems. Based on these relations, the reduction formulas of computing the total independent set number of any catacondensed polyomino system via transfer matrices can be obtained.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87421141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35463
Li Ran
Information security of civil aviation network is an important issue in national cyberspace security governance. Based on the ISO27001 information security management system, the main contribution of this paper is build a classification and identification framework to identify key sources and specific factors of information security risks in civil aviation network through generalization and summary approaches. The detected risk sources mainly include management subject, management process, technology, laws and regulations, and infrastructure. In accordance with the attributes of different risk sources, systematic preventive strategies are proposed in this paper to serve as references for preventing and resolving information security risks in civil aviation network.
{"title":"Information Security Risks in Civil Aviation Network: Classification, Identification and Preventive Strategies","authors":"Li Ran","doi":"10.12783/DTEEES/PEEES2020/35463","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35463","url":null,"abstract":"Information security of civil aviation network is an important issue in national cyberspace security governance. Based on the ISO27001 information security management system, the main contribution of this paper is build a classification and identification framework to identify key sources and specific factors of information security risks in civil aviation network through generalization and summary approaches. The detected risk sources mainly include management subject, management process, technology, laws and regulations, and infrastructure. In accordance with the attributes of different risk sources, systematic preventive strategies are proposed in this paper to serve as references for preventing and resolving information security risks in civil aviation network.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85410093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35458
Wen Weiwei, Jinxing Cheng, Y. L. Wu, Wang Qingbo, Xianbo Chen, Lang Li, Junjie Han
In this paper, the influence of non-ideality factors of thermal neutron source for coded neutron source imaging has been studied by numerical calculation,in order to establish the design standard of coded neutron source. Then, the pinhole imaging detector (pinhole) of MCNP has been used to simulate the imaging process of the coded neutron source imaging, and the parameters such as the uniformity of the spatial distribution of the thermal neutron flux at the imaging plane and the uniformity of the angular emission of the coded neutron source are studied. The design results show that the spatial distribution of thermal neutron flux is less than 13% and the angular distribution is less than 10% with the optimized structure of moderator including a 4 cm thick polyethylene disk and a wedge of neutron absorbing layer closed to the junction surface of collimator and water tube.
{"title":"Design of Coded Neutron Source Based on a RFQ Accelerator by MCNP Simulation","authors":"Wen Weiwei, Jinxing Cheng, Y. L. Wu, Wang Qingbo, Xianbo Chen, Lang Li, Junjie Han","doi":"10.12783/DTEEES/PEEES2020/35458","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35458","url":null,"abstract":"In this paper, the influence of non-ideality factors of thermal neutron source for coded neutron source imaging has been studied by numerical calculation,in order to establish the design standard of coded neutron source. Then, the pinhole imaging detector (pinhole) of MCNP has been used to simulate the imaging process of the coded neutron source imaging, and the parameters such as the uniformity of the spatial distribution of the thermal neutron flux at the imaging plane and the uniformity of the angular emission of the coded neutron source are studied. The design results show that the spatial distribution of thermal neutron flux is less than 13% and the angular distribution is less than 10% with the optimized structure of moderator including a 4 cm thick polyethylene disk and a wedge of neutron absorbing layer closed to the junction surface of collimator and water tube.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80942975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35489
Dongwen Guo, Liying Chen
Spatial interaction between tourist origining region and destination is one of the key factors affecting tourism industry. Based on classical gravity models, this paper constructed a cruise market spatial gravity model to predict the cruise market demand. It is found that cruise tourism is rather and its elasticity is much higher than other tourism activities and cruise tourism is more easily to be replaced. Meanwhile the search index of cruise tourism in most regions is proportional to the overall tourism propensity, and the cruise tourism penetration rate decreases with distance from the cruise port studied. The largest market of Shanghai cruise tourism comes from the Yangtze River Delta region. Additionally, Cruise tourism and other tourism are positive correlated. Exotic cultures and the new modes of tourism are more attractive to tourists. However, the attraction for Midwest and North China and distance register a negative correlation with the share of the Shanghai cruise passenger market.
{"title":"Prediction of the Spatial Structure of Cruise Market Based on Spatial Gravity Model—A Case Study of Shanghai Cruise Port","authors":"Dongwen Guo, Liying Chen","doi":"10.12783/DTEEES/PEEES2020/35489","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35489","url":null,"abstract":"Spatial interaction between tourist origining region and destination is one of the key factors affecting tourism industry. Based on classical gravity models, this paper constructed a cruise market spatial gravity model to predict the cruise market demand. It is found that cruise tourism is rather and its elasticity is much higher than other tourism activities and cruise tourism is more easily to be replaced. Meanwhile the search index of cruise tourism in most regions is proportional to the overall tourism propensity, and the cruise tourism penetration rate decreases with distance from the cruise port studied. The largest market of Shanghai cruise tourism comes from the Yangtze River Delta region. Additionally, Cruise tourism and other tourism are positive correlated. Exotic cultures and the new modes of tourism are more attractive to tourists. However, the attraction for Midwest and North China and distance register a negative correlation with the share of the Shanghai cruise passenger market.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82928176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35485
Jiaxiong Zhu, Zhigang Xiao, Cao Jing, Chang Feng
Under the condition of local shadow, the P-U curve of photovoltaic array presents multi peak phenomenon. Traditional MPPT algorithm is easy to fail. PSO algorithm is suitable for the optimization of complex multi extremum system, so it is applied in multi peak global MPPT. In order to solve the problem of low precision and premature in PSO algorithm, this paper proposes a new PSO algorithm based on recognition. Through the introduction of awareness, compared with the set value, the particles with better awareness will directly enter the next better iteration, while the particles with poor awareness will be replaced by their historical optimal location, which continues to maintain the search accuracy and speed in the later stage of particle swarm, so as to improve the accuracy and speed of multi peak global optimization. Through the simulation of MATLAB/Simulink, the results show that under the condition of uniform illumination and variable shadow, the particle swarm optimization algorithm based on recognition can effectively improve the convergence speed and accuracy of system optimization.
{"title":"Application of PSO Algorithm Based on Recognition in MPPT Control of Photovoltaic Array","authors":"Jiaxiong Zhu, Zhigang Xiao, Cao Jing, Chang Feng","doi":"10.12783/DTEEES/PEEES2020/35485","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35485","url":null,"abstract":"Under the condition of local shadow, the P-U curve of photovoltaic array presents multi peak phenomenon. Traditional MPPT algorithm is easy to fail. PSO algorithm is suitable for the optimization of complex multi extremum system, so it is applied in multi peak global MPPT. In order to solve the problem of low precision and premature in PSO algorithm, this paper proposes a new PSO algorithm based on recognition. Through the introduction of awareness, compared with the set value, the particles with better awareness will directly enter the next better iteration, while the particles with poor awareness will be replaced by their historical optimal location, which continues to maintain the search accuracy and speed in the later stage of particle swarm, so as to improve the accuracy and speed of multi peak global optimization. Through the simulation of MATLAB/Simulink, the results show that under the condition of uniform illumination and variable shadow, the particle swarm optimization algorithm based on recognition can effectively improve the convergence speed and accuracy of system optimization.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88887971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.12783/DTEEES/PEEES2020/35477
Shuai Guo, Han Jiting, Wang Ning, L. Xiu, Zhao Mingliang, Song Zhiyu
In recent years, affected by the rising international energy price, coal price marketization and other factors, all provinces in the country are short of electric coal, and all power plants are taking multiple measures to ensure the purchase of electric coal and ensure the safe operation of the machine team leader cycle. In order to prevent the high temperature corrosion of the water wall of the unit burning high sulfur coal tangentially fired boiler, the main measures are to optimize the operation and adjustment, optimize the distribution of air and powder, avoid strong reducing atmosphere near the wall area of the water wall, and install wall wind to make the water wall form oxidation atmosphere; The water-cooled wall is applied with anti-corrosion, anti-wear and thermal spraying to isolate the reducing atmosphere from the metal material of the water-cooled wall, reduce the sulfur content of the coal entering the furnace and reduce the generation of H2S.
{"title":"Analysis of High Sulfur Coal Blending in Thermal Power Unit","authors":"Shuai Guo, Han Jiting, Wang Ning, L. Xiu, Zhao Mingliang, Song Zhiyu","doi":"10.12783/DTEEES/PEEES2020/35477","DOIUrl":"https://doi.org/10.12783/DTEEES/PEEES2020/35477","url":null,"abstract":"In recent years, affected by the rising international energy price, coal price marketization and other factors, all provinces in the country are short of electric coal, and all power plants are taking multiple measures to ensure the purchase of electric coal and ensure the safe operation of the machine team leader cycle. In order to prevent the high temperature corrosion of the water wall of the unit burning high sulfur coal tangentially fired boiler, the main measures are to optimize the operation and adjustment, optimize the distribution of air and powder, avoid strong reducing atmosphere near the wall area of the water wall, and install wall wind to make the water wall form oxidation atmosphere; The water-cooled wall is applied with anti-corrosion, anti-wear and thermal spraying to isolate the reducing atmosphere from the metal material of the water-cooled wall, reduce the sulfur content of the coal entering the furnace and reduce the generation of H2S.","PeriodicalId":11369,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Science","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81490180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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