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Prediction of NO_(x)concentration using modular long short-term memory neural network for municipal solid waste incineration
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作者 Haoshan Duan Xi Meng +1 位作者 Jian Tang Junfei Qiao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2023年第4期46-57,共12页
Air pollution control poses a major problem in the implementation of municipal solid waste incineration(MSWI).Accurate prediction of nitrogen oxides(NO_(x))concentration plays an important role in efficient NO_(x)emis... Air pollution control poses a major problem in the implementation of municipal solid waste incineration(MSWI).Accurate prediction of nitrogen oxides(NO_(x))concentration plays an important role in efficient NO_(x)emission controlling.In this study,a modular long short-term memory(M-LSTM)network is developed to design an efficient prediction model for NO_(x)concentration.First,the fuzzy C means(FCM)algorithm is utilized to divide the task into several sub-tasks,aiming to realize the divide-and-conquer ability for complex task.Second,long short-term memory(LSTM)neural networks are applied to tackle corresponding sub-tasks,which can improve the prediction accuracy of the sub-networks.Third,a cooperative decision strategy is designed to guarantee the generalization performance during the testing or application stage.Finally,after being evaluated by a benchmark simulation,the proposed method is applied to a real MSWI process.And the experimental results demonstrate the considerable prediction ability of the M-LSTM network. 展开更多
关键词 Municipal solid waste incineration NO_(x)concentration prediction Modular neural network Model
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Application of Multivariate Reinforcement Learning Engine in Optimizing the Power Generation Process of Domestic Waste Incineration
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作者 Tao Ning Dunli Chen 《Journal of Electronic Research and Application》 2023年第5期30-41,共12页
Garbage incineration is an ideal method for the harmless and resource-oriented treatment of urban domestic waste.However,current domestic waste incineration power plants often face challenges related to maintaining co... Garbage incineration is an ideal method for the harmless and resource-oriented treatment of urban domestic waste.However,current domestic waste incineration power plants often face challenges related to maintaining consistent steam production and high operational costs.This article capitalizes on the technical advantages of big data artificial intelligence,optimizing the power generation process of domestic waste incineration as the entry point,and adopts four main engine modules of Alibaba Cloud reinforcement learning algorithm engine,operating parameter prediction engine,anomaly recognition engine,and video visual recognition algorithm engine.The reinforcement learning algorithm extracts the operational parameters of each incinerator to obtain a control benchmark.Through the operating parameter prediction algorithm,prediction models for drum pressure,primary steam flow,NOx,SO2,and HCl are constructed to achieve short-term prediction of operational parameters,ultimately improving control performance.The anomaly recognition algorithm develops a thickness identification model for the material layer in the drying section,allowing for rapid and effective assessment of feed material thickness to ensure uniformity control.Meanwhile,the visual recognition algorithm identifies flame images and assesses the combustion status and location of the combustion fire line within the furnace.This real-time understanding of furnace flame combustion conditions guides adjustments to the grate and air volume.Integrating AI technology into the waste incineration sector empowers the environmental protection industry with the potential to leverage big data.This development holds practical significance in optimizing the harmless and resource-oriented treatment of urban domestic waste,reducing operational costs,and increasing efficiency. 展开更多
关键词 Multivariable reinforcement learning engine waste incineration power generation Visual recognition algorithm
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Mechanical and environmental properties of geopolymer-stabilized domestic waste incineration slag in an asphalt pavement base
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作者 Xiaoping Ji Bo Chen +4 位作者 Xinze Dong Honglei Lu Xueyuan Zhang Shupeng He Tongda Wu 《Journal of Road Engineering》 2023年第2期218-228,共11页
Domestic waste incineration slag(WIS)includes fly ash and slag.Fly ash is classified as hazardous waste because it contains heavy metals.Most of slag are directly stacked or landfilled due to problems such as large ou... Domestic waste incineration slag(WIS)includes fly ash and slag.Fly ash is classified as hazardous waste because it contains heavy metals.Most of slag are directly stacked or landfilled due to problems such as large output and low utilization rate.Harmless treatment is imminent.If WIS is used effectively in the road engineering,which can realize the high-quality and high-efficiency recycling of WIS,and it is of great significance to save resources and protect the environment.This study applies a geopolymer prepared from WIS fly ash as a stabilizing agent in WIS blending macadam for use as a pavement base mixture,and reports the mechanical properties(unconfined compressive strength,splitting strength,and resilience modulus)of the geopolymer-stabilized WIS blending macadam(GeoWIS).The leaching concentrations of harmful heavy metals of GeoWIS soaked in water were also investigated.Finally,the strength formation and heavy metal stability mechanisms were explored.The unconfined compressive strength,splitting strength,and compressive resilient modulus of GeoWIS all increased with increasing geopolymer content and decreasing WIS content.The strength of GeoWIS was derived from its geopolymerization and hydration products(C-S-H gel,N-A-S-H gel,and AFt).When the geopolymer content reached 12%–14%,the GeoWIS without natural macadam met the strength criterion of the asphalt pavement base.Through physical adsorption and chemical bonding,the geopolymer significantly reduced the leaching of harmful heavy metals.In GeoWIS with 50%WIS and stabilized with 10%geopolymer,the Cr,Ni,Cd,and Pb concentrations met the grade III groundwater standard.Concentrations of heavy metals leached from GeoWIS are low and exert little impact on environment. 展开更多
关键词 Domestic waste incinerator slag Fly ash Geopolymer-stabilized macadam Heavy metal leaching concentration
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HVAC Design Strategies for Municipal Waste Incineration Power Plants
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作者 Meng Lv 《Journal of Architectural Research and Development》 2022年第2期35-40,共6页
In recent years,relevant government departments have achieved the goal of reduction and harmless application through the development and implementation of municipal waste incineration power plants,in order to advocate... In recent years,relevant government departments have achieved the goal of reduction and harmless application through the development and implementation of municipal waste incineration power plants,in order to advocate ecological and environmental protection.At present,in order to further achieve the goal of sustainable development,municipal waste incineration power plants have actively responded to the national call and requirements as well as made overall arrangements for the energy-saving design and optimization design of their internal system.Therefore,with the concept of sustainable development,this paper studies and analyzes the problems of the HVAC design as well as suggests related strategies for municipal waste incineration power plants in order to provide relevant reference. 展开更多
关键词 Municipal waste incineration power plants HVAC system Design optimization
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Event-triggered fuzzy neural multivariable control for a municipal solid waste incineration process
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作者 DING HaiXu QIAO JunFei +1 位作者 HUANG WeiMin YU Tao 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2023年第11期3115-3128,共14页
Because of coupling,nonlinearity,and uncertainty in a municipal solid waste incineration(MSWI)process,a suitable multivariable controller is difficult to establish under strong disturbance.Additionally,the problems of... Because of coupling,nonlinearity,and uncertainty in a municipal solid waste incineration(MSWI)process,a suitable multivariable controller is difficult to establish under strong disturbance.Additionally,the problems of reducing mechanical wear and energy consumption in the control process should also be considered.To solve these problems,an event-triggered fuzzy neural multivariable controller is proposed in this paper.First,the MSWI object model based on the multiinput multioutput TakagiSugeno fuzzy neural network is established using a data-driven method.Second,a fuzzy neural multivariable controller is designed to control the furnace temperature and flue gas oxygen content synchronously under external disturbance.Third,an event-triggered mechanism is constructed to update the control rate online while ensuring control effects.Then,the stability of the proposed control strategy is proven through the LyapunovⅡtheorem to guide its practical application.Finally,the effectiveness of the controller is verified using the real industrial data of an MSWI factory in Beijing,China.The experimental results show that the proposed control strategy greatly improves the control efficiency,reduces energy consumption by 66.23%,and improves the multivariable tracking control accuracy. 展开更多
关键词 municipal solid waste incineration multivariable control event-triggered multiinput multioutput fuzzy neural network
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Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process
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作者 HE HaiJun MENG Xi +1 位作者 TANG Jian QIAO JunFei 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2023年第4期1096-1109,共14页
Due to the large uncertainty in the municipal solid waste incineration(MSWI)process,the furnace temperature of the MSWI process is difficult to control and the controller is updated frequently.To improve the accuracy ... Due to the large uncertainty in the municipal solid waste incineration(MSWI)process,the furnace temperature of the MSWI process is difficult to control and the controller is updated frequently.To improve the accuracy and reduce the number of controller updates,a novel event-triggered control method based correntropy self-organizing TS fuzzy neural network(ETCSTSFNN)is proposed.Firstly,the neurons of the rule layer are grown or pruned adaptively based on activation intensity and control error to meet the dynamic change of the actual operating condition.Meanwhile,the performance index is designed based on the correntropy of tracking errors,and the parameters of the controller are adjusted by gradient descent algorithm.Secondly,a fixed threshold event-triggered condition is designed to determine whether the current controller is updated or not.The stability of the control system is proved based on the Lyapunov stability theory.Finally,the furnace temperature control experiments are conducted based on the actual data of a municipal solid waste incineration plant in Beijing.The experimental results show that the proposed ET-CSTSFNN controller shows a better control performance,which can reduce the number of the controller update significantly while achieving accurate furnace temperature control compared with other traditional control methods. 展开更多
关键词 municipal solid waste incineration furnace temperature fuzzy control event-triggered
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Review of harmless treatment of municipal solid waste incineration fly ash 被引量:7
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作者 Yike Zhang Zengyi Ma +3 位作者 Zhuoting Fang Yuandong Qian Pucheng Zhong Jianhua Yan 《Waste Disposal and Sustainable Energy》 2020年第1期1-25,共25页
Incineration is widely adopted in municipal solid waste management,which produces large amounts of municipal solid waste incineration(MSWI)fly ash.The harmless treatment of MSWI fly ash requires the appropriate dispos... Incineration is widely adopted in municipal solid waste management,which produces large amounts of municipal solid waste incineration(MSWI)fly ash.The harmless treatment of MSWI fly ash requires the appropriate disposal of heavy metals and dioxins that are enriched in fly ash.This review summarizes recently developed harmless disposal methods for MSWI fly ash including solidification/stabilization,thermal treatment,and separation/extraction.In addition,we discuss heavy metal and dioxin fixation,and the removal capacity of fly ash via solidification/stabilization(including cement solidification,chemical stabilization,hydrothermal processes,and mechano-chemical methods),thermal treatment(including sintering,fuel-burning,or electric melting/vitrification),and separation/extraction(including water-washing,chemical reagent leaching,biological leaching,electrodialysis separation,chemical reagent extraction,and nanomaterials extraction).The advantages and disadvantages of different harmless treatment methods are compared and future research prospects and suggestions are summarized.This review provides general guidelines for the harmless treatment of MSWI fly ash in the future. 展开更多
关键词 Fly ash Municipal solid waste incineration SOLIDIFICATION/STABILIZATION Thermal treatment Separation/extraction
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A novel time-span input neural network for accurate municipal solid waste incineration boiler steam temperature prediction 被引量:2
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作者 Qin-xuan HU Ji-sheng LONG +4 位作者 Shou-kang WANG Jun-jie HE Li BAI Hai-liang DU Qun-xing HUANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2021年第10期777-791,共15页
A novel time-span input neural network was developed to accurately predict the trend of the main steam temperature of a 750-t/d waste incineration boiler.Its historical operating data were used to retrieve sensitive p... A novel time-span input neural network was developed to accurately predict the trend of the main steam temperature of a 750-t/d waste incineration boiler.Its historical operating data were used to retrieve sensitive parameters for the boiler output steam temperature by correlation analysis.Then,the 15 most sensitive parameters with specified time spans were selected as neural network inputs.An external testing set was introduced to objectively evaluate the neural network prediction capability.The results show that,compared with the traditional prediction method,the time-span input framework model can achieve better prediction performance and has a greater capability for generalization.The maximum average prediction error can be controlled below 0.2°C and 1.5°C in the next 60 s and 5 min,respectively.In addition,setting a reasonable terminal training threshold can effectively avoid overfitting.An importance analysis of the parameters indicates that the main steam temperature and the average temperature around the high-temperature superheater are the two most important variables of the input parameters;the former affects the overall prediction and the latter affects the long-term prediction performance. 展开更多
关键词 waste incineration grate furnace Neural network Time-span input Main steam temperature PREDICTION
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Low-carbon stabilization/solidification of municipal solid waste incineration fly ash 被引量:1
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作者 Chen Sun Lei Wang +3 位作者 Xiaoqing Lin Shengyong Lu Qunxing Huang Jianhua Yan 《Waste Disposal and Sustainable Energy》 2022年第2期69-74,共6页
Municipal solid waste incineration(MSWI)fly ash(FA)is classified as hazardous waste,which requires additional treatment before disposal or further utilization.Stabilization/solidification(S/S)is regarded as a low-cost... Municipal solid waste incineration(MSWI)fly ash(FA)is classified as hazardous waste,which requires additional treatment before disposal or further utilization.Stabilization/solidification(S/S)is regarded as a low-cost and high-efficient method for MSWI FA treatment.“Low-carbon S/S”has captured extensive interest in recent years,which could treat hazardous wastes and enable resource recycling in a sustainable way.This article introduced the state-of-art low-carbon S/S strategies for MSWI FA treatment.The immobilization mechanisms of pollutants in various matrices were also discussed.Prospects were raised to foster the actualization of sustainable management of MSWI FA. 展开更多
关键词 Municipal solid waste incineration fly ash STABILIZATION SOLIDIFICATION Potential toxic elements Hazardous waste treatment Green and sustainable remediation Carbon neutrality
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Dichlorination in a circulating fluidized-bed incinerator for municipal solid waste incineration system
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作者 Yaming Cai Zengyi Ma +4 位作者 Jianhua Yan Yike Zhang Zhe Chen Ruofeng Gao Pucheng Zhong 《Waste Disposal and Sustainable Energy》 2019年第3期207-212,共6页
Cl is one of the main pollutants emitted from domestic waste incineration systems. In this study, we focused on the process of Ca dechlorination in the furnace of a circulating fluidized-bed waste incineration system.... Cl is one of the main pollutants emitted from domestic waste incineration systems. In this study, we focused on the process of Ca dechlorination in the furnace of a circulating fluidized-bed waste incineration system. We analyzed the stability of CaCl_(2) and Ca in the furnace, the dechlorination process, and distribution of Cl in the incineration system. The results show that the optimal Ca/Cl molar ratio for Ca dechlorination in the circulating fluidized-bed waste incinerator is 2:1;moreover, the dechlorination product CaCl_(2) was found to decompose at high temperatures (> 850℃). At temperatures > 700℃, we measured CaCl_(2) decomposition rates up to 80%. Ca was added in the furnace, mainly to provide a dechlorination Ca source for the decomposition of limestone into tail flue gas. The amount of Ca^(2+) in the flue decreased gradually, parallelly to the temperature of the flue gas. Stable CaCl_(2) was formed after HCl was captured, and relatively small solid particles appeared in the ash collecting bag. 展开更多
关键词 waste incineration HCL Ca-based Dichlorination
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Comparative Study on Distributed Waste Pyrolysis Cold Emission Energy Station and Incineration Power Generation
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作者 Gongyi CHEN Guoquan LU Tao CHEN 《Meteorological and Environmental Research》 CAS 2021年第2期1-5,共5页
The proper terminal disposal of organic solid waste such as domestic waste is a worldwide issue.Landfill covers a large area,with limited capacity,and a single landfill will be filled one day;incineration is costly to... The proper terminal disposal of organic solid waste such as domestic waste is a worldwide issue.Landfill covers a large area,with limited capacity,and a single landfill will be filled one day;incineration is costly to build and operate.These methods all need to transfer and centralized treatment,and secondary pollution is difficult to control,against the purification law of the nature."NIMBY effect"is very serious,and the social cost of treatment is increasing,becoming a heavy financial burden."The Distributed Waste Pyrolysis Cold Emission Energy Station"developed by Hunan Zhongzhou Energy-Saving Technology Co.,Ltd.overcomes these disadvantages and constructs a more appropriate environmental economic industrial chain for the treatment of organic solid waste such as urban and rural household waste.Based on its technical characteristics,this paper compares it with waste incineration power generation project in the aspects of secondary pollution control,treatment effect,energy utilization,investment and operation economy,etc. 展开更多
关键词 Domestic rubbish disposal Organic solid waste treatment Distributed waste pyrolysis cold emission energy station waste incineration power generation Comparative study
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Analysis of the Relationship between Mechanical Properties and Pore Structure of MSW Incineration Bottom Ash Fine Aggregate Concrete after Freeze-Thaw Cycles Based on the Gray Theory
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作者 Peng Zhang Dongsheng Shi +1 位作者 Ping Han Wenchao Jiang 《Journal of Renewable Materials》 SCIE EI 2023年第2期669-688,共20页
The destruction of concrete building materials in severely cold regions of the north is more severely affected by freeze-thaw cycles,and the relationship between the mechanical properties and pore structure of concret... The destruction of concrete building materials in severely cold regions of the north is more severely affected by freeze-thaw cycles,and the relationship between the mechanical properties and pore structure of concrete with fine aggregate from municipal solid waste(MSW)incineration bottom ash after freeze-thaw cycles is analyzed under the degree of freeze-thaw hazard variation.In this paper,the gray correlation method is used to calculate the correlation between the relative dynamic elastic modulus,compressive strength,and microscopic porosity parameters to speculate on the most important factors affecting their changes.The GM(1,1)model was established based on the compressive strength of the waste incineration ash aggregate concrete,the relative error between the simulated and actual values in the model was less than 5%,and the accuracy of the model was level 1,indicating that the GM(1,1)model can well reflect the change in the compressive strength of the MSW incineration bottom ash aggregate concrete during freeze-thaw cycles.Using the gray correlation method,the correlation between the relative dynamic elastic modulus,compressive strength,air content,specific surface area,pore spacing coefficient,and pore average chord length was calculated,and the pore spacing coefficient and pore average chord length were determined to be highly correlated with each other.This determination can help analyze and infer the deterioration mechanism of concrete subject to freeze-thaw cycles.These results can provide a theoretical basis for guiding the engineering practice of concrete with fine aggregates of household bottom ash in the northern cold region. 展开更多
关键词 Municipal solid waste incineration bottom ash CONCRETE gray system theory mechanical properties pore structure
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Bridging the Energy Benefit and POPs Emission Risk from Waste Incineration
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作者 Cui Li Lili Yang +4 位作者 Xiaoyun Liu Yuanping Yang Linjun Qin Da Li Guorui Liu 《The Innovation》 2021年第1期38-45,共8页
Incineration has been the globally controversial and concerned method of solid waste disposal.Energy recovery and volume reduction are the benefits from waste incineration,but risk due to release of persistent organic... Incineration has been the globally controversial and concerned method of solid waste disposal.Energy recovery and volume reduction are the benefits from waste incineration,but risk due to release of persistent organic pollutants is the major public concern in the world.In this study,the emission of organic pollutants including dioxins and polychlorinated naphthalenes from solid waste incineration in China was comprehensively evaluated,and a relationship between energy benefit and pollutant emission was firstly established.The results show that production of medical and industrial waste was smaller than that of municipal waste but yielded comparable or even higher emission of dioxins.The energy benefit-to-emission index for organic pollutants(EBEIOP)for evaluation of solid waste management on a local or regional scale was proposed.Significant correlations between net energy benefit and pollutant emission for provinces with higher EBEIOP values were found.Furthermore,higher EBEIOP values were associated with economic factors while lower values were influenced by emission from incineration of medical and industrial waste.We suggest that an EBEIOP value of R60 can serve as a reference for“profitable”solid waste management,assisting decision making during energy benefit and environmental risk assessment. 展开更多
关键词 solid waste incineration energy benefit persistent organic pollutant emission
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Novel Technology and Products: Fluidized Bed Incineration and Energy Recovery for Waste Disposal——Developed by the Institute for Thermal Power Engineering, Zhejiang University
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《China's Foreign Trade》 1997年第7期34-35,共2页
The waste referred to includes solid waste and sludge. Solid waste is mainly from urban garbage and industrial waste. Sludge is from water treatment factories, paper mills, chemical factories, pharmaceutical factories... The waste referred to includes solid waste and sludge. Solid waste is mainly from urban garbage and industrial waste. Sludge is from water treatment factories, paper mills, chemical factories, pharmaceutical factories, rivers and lakes. The waste and sludge are very harmful to water organisms, human health and drinking water, and directly affect the environment. Sludge and waste also occupy large areas of land. There are several methods to treat waste and sludge, such as burial, chemical treatment and incineration. Incineration is more effective than the 展开更多
关键词 In Novel Technology and Products Zhejiang University Developed by the Institute for Thermal Power Engineering Fluidized Bed incineration and Energy Recovery for waste Disposal
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Steam Oxidation Resistance of Nitride Bonded Silicon Carbide Refractories for Waste Incinerators at Elevated Temperatures 被引量:1
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作者 HUANG Zhigang WANG Jiaping +2 位作者 LI Jie CAO Huiyan WU Jiguang 《China's Refractories》 CAS 2019年第3期4-7,共4页
Steam oxidation resistance of Si3N4 and Si2N2O as well as SiAlON bonded SiC refractories at 900℃was tested according to ASTM-C863.Phase composition and microstructure before and after oxidation were analyzed by XRD a... Steam oxidation resistance of Si3N4 and Si2N2O as well as SiAlON bonded SiC refractories at 900℃was tested according to ASTM-C863.Phase composition and microstructure before and after oxidation were analyzed by XRD and SEM.The results show that Si3N4 and Si2N2O bonded SiC refractory presents better steam oxidation resistance than SiAlON bonded SiC.For Si3N4 and Si2N2O bonded SiC,the oxidation speed is higher with more pronounced volume expansion in the early 100 h;afterwards,the volume expansion slows down gradually and starts to level off after 300 h.It is considered that the high silica glass phase formed during the oxidation covers Si3N4 and Si2N2O,and SiC as a protective layer and fills the open pores.But for SiAlON bonded SiC,the volume expands gradually and constantly with the increasing oxidation duration even after 500 h,due to the continuous formation of mullite transformed from oxidation products and Al2O3 in SiAlON. 展开更多
关键词 nitride bonded silicon carbide steam oxidation resistance waste incinerator
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Application and Hydration Resistance of SiC Refractories for Water-cooled Wall of Waste Incinerators
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作者 LUO Huaming CAI Binli +7 位作者 YUAN Zhenqiang ZUO Genliang Zhang Jingzheng WANG Fengyu LI Jinyu WEI Yingfeng SUN Huochang ZHAN Huasheng 《China's Refractories》 CAS 2022年第2期12-16,共5页
According to the dual needs of heat transfer and thermal insulation in incinerators,different parts of the incinerators are designed with refractories of different SiC contents.Water vapor is mainly concentrated in th... According to the dual needs of heat transfer and thermal insulation in incinerators,different parts of the incinerators are designed with refractories of different SiC contents.Water vapor is mainly concentrated in the zones of feeding,drying and combustion,and the main damage factors of SiC refractories include high temperature and hydration.The results of hydration resistance of typical SiC-containing refractories show that the higher the SiC content,the worse the hydration resistance.Si_(3)N_(4)-SiC refractories after oxidation treatment have good hydration corrosion resistance,which are appropriate for water-cooled wall of waste incinerators. 展开更多
关键词 waste incinerators silicon carbide hydration resistance Si_(3)N_(4)-SiC refractories
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面向城市固废焚烧过程的缺失数据填充及应用
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作者 汤健 徐雯 +1 位作者 夏恒 乔俊飞 《北京工业大学学报》 CAS CSCD 北大核心 2023年第4期435-448,共14页
针对城市固废焚烧(municipal solid waste incineration, MSWI)过程中存在的随机和连续数据缺失问题,提出了一种基于专家经验和约简特征集成模型的填充方法.首先,将过程数据缺失情况识别为随机分布、时间维度和特征维度缺失3种类型.接着... 针对城市固废焚烧(municipal solid waste incineration, MSWI)过程中存在的随机和连续数据缺失问题,提出了一种基于专家经验和约简特征集成模型的填充方法.首先,将过程数据缺失情况识别为随机分布、时间维度和特征维度缺失3种类型.接着,基于专家经验对前2种类型进行缺失填充后,面向第3种类型基于分布相似性和互信息相关性为缺失特征预测模型选择建模数据集和约简特征,建立具有互补特性的随机森林、梯度提升决策树和反向传播神经网络子模型对缺失值进行初步预测,利用贝叶斯线性回归(Bayesian linear regression, BLR)构建集成模型以获得最终填充值.最后,利用填充后的MSWI数据建立基于跨层全连接深度森林回归的二噁英排放浓度软测量模型.实验结果表明所提方法提高了MSWI过程数据的质量. 展开更多
关键词 城市固废焚烧(municipal solid waste incineration MSWI) 数据填充 专家经验 约简特征 集成模型 贝叶斯线性回归(Bayesian linear regression BLR)
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基于主动学习机制GAN的MSWI过程二噁英排放风险预警模型
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作者 汤健 崔璨麟 +2 位作者 夏恒 王丹丹 乔俊飞 《北京工业大学学报》 CAS CSCD 北大核心 2023年第5期507-522,共16页
针对构建城市固废焚烧(municipal solid waste incineration,MSWI)过程剧毒污染物二噁英(dioxin,DXN)排放风险预警模型的样本极为稀少的问题,提出一种基于主动学习机制生成对抗网络(generative adversarial network,GAN)的DXN排放风险... 针对构建城市固废焚烧(municipal solid waste incineration,MSWI)过程剧毒污染物二噁英(dioxin,DXN)排放风险预警模型的样本极为稀少的问题,提出一种基于主动学习机制生成对抗网络(generative adversarial network,GAN)的DXN排放风险预警建模方法.首先,以DXN风险等级作为条件信息使得GAN生成候选虚拟样本;然后,利用基于最大均值差异和多视角可视化分布信息的主动学习机制进行虚拟样本的初筛和评估,以获得期望虚拟样本;最后,基于混合样本构建DXN排放风险预警模型.通过基准数据集和MSWI过程数据集验证了所提方法的有效性.基于主动学习机制GAN的DXN排放风险预警建模方法可以有效解决样本稀少的问题,提高模型精度. 展开更多
关键词 城市固废焚烧(municipal solid waste incineration MSWI) 二噁英(dioxin DXN)排放风险预警 生成对抗网络(generative adversarial network GAN) 虚拟样本生成(virtual sample generation VSG) 最大均值差异 主动学习
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Toward sustainable waste management in small islands developing states: integrated waste-to-energy solutions in Maldives context
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作者 Yao Wang Alejandro Ruiz-Acevedo +3 位作者 Eemaan Rameez Vijaya Raghavan Abid Hussain Xunchang Fei 《Frontiers of Environmental Science & Engineering》 SCIE EI CSCD 2024年第2期133-148,共16页
Effective waste management is a major challenge for Small Island Developing States (SIDS) like Maldives due to limited land availability. Maldives exemplifies these issues as one of the most geographically dispersed c... Effective waste management is a major challenge for Small Island Developing States (SIDS) like Maldives due to limited land availability. Maldives exemplifies these issues as one of the most geographically dispersed countries, with a population unevenly distributed across numerous islands varying greatly in size and population density. This study provides an in-depth analysis of the unique waste management practices across different regions of Maldives in relation to its natural and socioeconomic context. Data shows Maldives has one of the highest population density and per capita waste generation among SIDS, despite its small land area and medium GDP per capita. Large disparities exist between the densely populated capital Male’ with only 5.8 km2 area generating 63% of waste and the ~194 scattered outer islands with ad hoc waste management practices. Given Male’s dense population and high calorific waste, incineration could generate up to ~30 GW/a energy and even increase Maldives’ renewable energy supply by 200%. In contrast, decentralized anaerobic digestion presents an optimal solution for outer islands to reduce waste volume while providing over 40%–100% energy supply for daily cooking in local families. This timely study delivers valuable insights into designing context-specific waste-to-energy systems and integrated waste policies tailored to Maldives’ distinct regions. The framework presented can also guide other SIDS facing similar challenges as Maldives in establishing sustainable, ecologically sound waste management strategies. 展开更多
关键词 Anaerobic digestion waste incineration waste management MALDIVES Small Island Developing States waste-TO-ENERGY
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Distribution and leaching characteristics of trace elements in ashes as a function of different waste fuels and incineration technologies 被引量:1
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作者 Naeem Saqib Mattias Backstrom 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2015年第10期9-21,共13页
Impact of waste fuels(virgin/waste wood, mixed biofuel(peat, bark, wood chips) industrial,household, mixed waste fuel) and incineration technologies on partitioning and leaching behavior of trace elements has been inv... Impact of waste fuels(virgin/waste wood, mixed biofuel(peat, bark, wood chips) industrial,household, mixed waste fuel) and incineration technologies on partitioning and leaching behavior of trace elements has been investigated. Study included 4 grate fired and 9 fluidized boilers. Results showed that mixed waste incineration mostly caused increased transfer of trace elements to fly ash; particularly Pb/Zn. Waste wood incineration showed higher transfer of Cr,As and Zn to fly ash as compared to virgin wood. The possible reasons could be high input of trace element in waste fuel/change in volatilization behavior due to addition of certain waste fractions. The concentration of Cd and Zn increased in fly ash with incineration temperature.Total concentration in ashes decreased in order of Zn > Cu > Pb > Cr > Sb > As > Mo. The concentration levels of trace elements were mostly higher in fluidized boilers fly ashes as compared to grate boilers(especially for biofuel incineration). It might be attributed to high combustion efficiency due to pre-treatment of waste in fluidized boilers. Leaching results indicated that water soluble forms of elements in ashes were low with few exceptions.Concentration levels in ash and ash matrix properties(association of elements on ash particles)are crucial parameters affecting leaching. Leached amounts of Pb, Zn and Cr in >50% of fly ashes exceeded regulatory limit for disposal. 87% of chlorine in fly ashes washed out with water at the liquid to solid ratio 10 indicating excessive presence of alkali metal chlorides/alkaline earths. 展开更多
关键词 incineration residues Leaching behavior Biofuel incineration Metal distribution waste incineration
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