Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
出版年份 2020 全文链接
标题
Multi-task prediction and optimization of hydrochar properties from high-moisture municipal solid waste: Application of machine learning on waste-to-resource
作者
关键词
Waste-to-energy, Biochar, Hydrothermal carbonization, Renewable energy, Carbon sequestration, Multi-objective optimization
出版物
JOURNAL OF CLEANER PRODUCTION
Volume 278, Issue -, Pages 123928
出版商
Elsevier BV
发表日期
2020-08-29
DOI
10.1016/j.jclepro.2020.123928
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Vermiculite modification increases carbon retention and stability of rice straw biochar at different carbonization temperatures
- (2020) Yuxue Liu et al. JOURNAL OF CLEANER PRODUCTION
- Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
- (2020) Jie Li et al. APPLIED ENERGY
- Bioleaching of heavy metals from wastewater sludge with the aim of land application
- (2020) Wei Yang et al. CHEMOSPHERE
- Prediction of Bio-oil Yield and Hydrogen Contents based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions
- (2020) Qinghui Tang et al. ENERGY & FUELS
- Metagenomic approach reveals the fate of antibiotic resistance genes in a temperature-raising anaerobic digester treating municipal sewage sludge
- (2020) Rui Xu et al. JOURNAL OF CLEANER PRODUCTION
- Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods
- (2020) Abhijeet Pathy et al. Algal Research-Biomass Biofuels and Bioproducts
- Synergies between BECCS and biochar - maximizing carbon sequestration potential by recycling wood ash
- (2019) Wolfram Buss et al. ACS Sustainable Chemistry & Engineering
- Data-driven prediction of battery cycle life before capacity degradation
- (2019) Kristen A. Severson et al. Nature Energy
- ANN-Kriging hybrid model for predicting carbon and inorganic phosphorus recovery in hydrothermal carbonization
- (2019) Hamza Y. Ismail et al. WASTE MANAGEMENT
- Gasification performance of the hydrochar derived from co-hydrothermal carbonization of sewage sludge and sawdust
- (2019) Jing Ma et al. ENERGY
- Combination of hydrothermal carbonization and oxy-fuel combustion process for sewage sludge treatment: Combustion characteristics and kinetics analysis
- (2019) Tingting Liu et al. FUEL
- Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
- (2019) Xinzhe Zhu et al. BIORESOURCE TECHNOLOGY
- Environmental and economic benefits of carbon emission reduction in animal husbandry via the circular economy: Case study of pig farming in Liaoning, China
- (2019) Yu-nan Xue et al. JOURNAL OF CLEANER PRODUCTION
- The application of machine learning methods for prediction of metal sorption onto biochars
- (2019) Xinzhe Zhu et al. JOURNAL OF HAZARDOUS MATERIALS
- Fast characterization of biomass and waste by infrared spectra and machine learning models
- (2019) Junyu Tao et al. JOURNAL OF HAZARDOUS MATERIALS
- Is hydrothermal treatment coupled with carbon capture and storage an energy-producing negative emissions technology?
- (2019) Fangwei Cheng et al. ENERGY CONVERSION AND MANAGEMENT
- Predictions of energy recovery from hydrochar generated from the hydrothermal carbonization of organic wastes
- (2019) Liang Li et al. RENEWABLE ENERGY
- Application of a Deep Neural Network to Metabolomics Studies and Its Performance in Determining Important Variables
- (2018) Yasuhiro Date et al. ANALYTICAL CHEMISTRY
- Pyrolysis of switchgrass in an auger reactor for biochar production: A greenhouse gas and energy impacts assessment
- (2018) Patrick Brassard et al. BIOMASS & BIOENERGY
- Behavior of Stable Carbon and Stable Nitrogen Isotopes during Hydrothermal Carbonization of biomass
- (2018) M. Toufiq Reza et al. JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
- Hydrothermal carbonization of anaerobic granular sludge: Effect of process temperature on nutrients availability and energy gain from produced hydrochar
- (2018) Yang Yu et al. APPLIED ENERGY
- Synthesis, characterization and machine learning based performance prediction of straw activated carbon
- (2018) Wen Jiang et al. JOURNAL OF CLEANER PRODUCTION
- Hydrothermal and alkaline hydrothermal pretreatments plus anaerobic digestion of sewage sludge for dewatering and biogas production: Bench-scale research and pilot-scale verification
- (2017) Chunxing Li et al. WATER RESEARCH
- Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach
- (2016) Hongliang Cao et al. BIORESOURCE TECHNOLOGY
- Hydrothermal treatment coupled with mechanical expression at increased temperature for excess sludge dewatering: Heavy metals, volatile organic compounds and combustion characteristics of hydrochar
- (2016) Liping Wang et al. CHEMICAL ENGINEERING JOURNAL
- Investigating the role of feedstock properties and process conditions on products formed during the hydrothermal carbonization of organics using regression techniques
- (2015) Liang Li et al. BIORESOURCE TECHNOLOGY
- Hydrothermal carbonisation of sewage sludge: Effect of process conditions on product characteristics and methane production
- (2015) E. Danso-Boateng et al. BIORESOURCE TECHNOLOGY
- Food waste generation and industrial uses: A review
- (2015) Francesca Girotto et al. WASTE MANAGEMENT
- Machine learning models for predicting PAHs bioavailability in compost amended soils
- (2013) Guozhong Wu et al. CHEMICAL ENGINEERING JOURNAL
- Biochar as a sorbent for contaminant management in soil and water: A review
- (2013) Mahtab Ahmad et al. CHEMOSPHERE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms
- (2012) Shaban Shataee et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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