Yazar "Xie, Candie" seçeneğine göre listele
Listeleniyor 1 - 7 / 7
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Arsenic partitioning behavior during sludge co-combustion: Thermodynamic equilibrium simulation(Springer, 2019) Liu, Jingyong; Xie, Candie; Xie, Wuming; Zhang, Xiaochun; Chang, KenLin; Büyükada, Musa; Kuo, Jiahong; Evrendilek, FatihUsing the computation method of thermodynamic equilibrium, effects of sewage sludge (SS) co-combustion conditions and interactions with Fe2O3, SiO2, CaO and Al2O3 on migration and transformation of arsenic (As) were simulated in oxy-fuel (CO2/O-2) and air (N-2/O-2) atmospheres. Arsenic mainly existed as As(s), As-4(g), As2O5(s), As4O6(g) and AsO(g) and volatilized more easily in reducing than oxidizing atmosphere. Increased O-2 concentration slowed down the formation rate of AsO(g), thus reducing the volatilization rate of As. With the increased pressure, the conversion rate of As2O5(s) into As4O6(g) accelerated. In the multi-chemical system of SiO2, Al2O3 and CaO, As reacted with CaO and Al2O3 to form AlAsO4(s) and Ca-3(AsO4)(2)(s) which inhibited As volatilization. SiO2 prevented As from reacting with CaO to generate Ca-3(AsO4)(2)(s). Fe2O3 affected reactions between Al2O3(CaO) and As which inhibited As volatilization. In the whole SS co-combustion system, As reacted with O-2 but had a weak affinity with Cl and with no arsenic chlorides observed.Öğe Co-combustion of sewage sludge and coffee grounds under increased O-2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling(Elsevier Sci Ltd, 2018) Chen, Jiacong; Xie, Candie; Liu, Jingyong; He, Yao; Xie, Wuming; Zhang, Xiaochun; Chang, Kenlin; Büyükada, Musa; Evrendilek, Fatih(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O-2/CO2 atmosphere (21, 30, 40 and 60%) using a thermogravimetric analysis. Observed percentages of CG mass loss and its maximum were higher than those of SS. Under the same atmospheric O-2 concentration, both higher ignition and lower burnout temperatures occurred with the increased CG content. Results showed that ignition temperature and comprehensive combustion index for the blend of 60% SS-40% CG increased, whereas burnout temperature and co-combustion time decreased with the increased O-2 concentration. Artificial neural network was applied to predict mass loss percent as a function of gas mixing ratio, heating rate, and temperature, with a good agreement between the experimental and ANN-predicted values. Activation energy in response to the increased O-2 concentration was found to increase from 218.91 to 347.32 kJ.mol(-1) and from 218.34 to 340.08 kJ.mol(-1) according to the Kissinger-Akahira-Sunose and Flynn-Wall-Ozawa methods, respectively.Öğe Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks(Elsevier Sci Ltd, 2018) Xie, Candie; Liu, Jingyong; Zhang, Xiaochun; Xie, Wuming; Sun, Jian; Chang, Kenlin; Kuo, Jiahong; Büyükada, Musa; Evrendilek, FatihCo-combustion characteristics of textile dyeing sludge (TDS) and pomelo peel (PP) under O-2/N-2 and O-2/CO2 atmospheres were investigated using a thermogravimetric analysis (TGA) and artificial neural networks. 30% O-2/70% CO2 and air atmospheres led to a similar co-combustion performance. Increases in O-2 concentration and PP significantly improved the oxy-fuel co-combustion performance of TDS. Principal component analysis was applied to reduce the dimensionality of differential TGA curves and to identify the principal reactions. The interaction between TDS and PP occurred mainly at 490-600 degrees C, thus improving the process of residue co combustion. Radial basis function was found to have more reliable and robust predictions of TGA under different O-2/CO2 atmospheres than did Bayesian regularized network. Regardless of Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods used, the lowest mean value of apparent activation energy (155.4 kJ.mol(-1) by FWO and 153.2 kJ.mol(-1) by KAS) was obtained under the 30% O-2/70% CO2 atmosphere.Öğe Influence of catalysts on co-combustion of sewage sludge and water hyacinth blends as determined by TG-MS analysis(Elsevier Sci Ltd, 2018) Huang, Limao; Xie, Candie; Liu, Jingyong; Zhang, Xiaochun; Chang, KenLin; Kuo, Jiahong; Sun, Jian; Büyükada, Musa; Evrendilek, FatihEffects of the three metal carbonates (K2CO3, Na2CO3, and MgCO3) were quantified on catalytic co-combustion of the sewage sludge and water hyacinth (SW) blend using a thermogravimetric-mass spectrometric (TG-MS) analysis and kinetics modeling. The main dominating steps of the catalysts were the organic volatile matter release and combustion stage. Weighted mean values of activation energy (E-m) were estimated at 181.18 KJ . mol(-1), 199.76 KJ . mol(-1), 138.76 KJ . mol(-1), and 177.88 KJ . mol(-1) for SW, SW + 5% K2CO3, SW + 5% Na2CO3, and SW+ 5% MgCO3, respectively. The lowest E-m occurred with SW+ 5% Na(2)CO3. Overall, catalyst effect on co-combustion appeared to be negligible as indicated by Gibbs free energy (Delta G). The normalized intensities of SW+ MgCO3 were strongest. The addition of Na2CO3 and MgCO3 to SW increased flue gases emissions (CO2, NO2, SO2, HCN, and NH3) of SW, whereas the addition of K2CO3 to SW reduced flue gases emissions from the entire combustion process.Öğe Optimizing environmental pollution controls in response to textile dyeing sludge, incineration temperature, CaO conditioner, and ash minerals(Elsevier, 2021) Xie, Candie; Liu, Jingyong; Liang, Jialin; Xie, Wuming; Evrendilek, Fatih; Li, WeixinThe dynamics of heavy metal speciation and flue gas emissions during the incineration of textile dyeing sludge (TDS) were quantified as a function of four addition levels of CaO, incineration temperature, and ash minerals using thermogravimetric analysis and experimental tube furnace. The TDS incineration was most improved with the addition of 10% CaO. The increased fractions of CaO coupled with the ash minerals changed the retention behaviors of eight heavy metals. The CaO addition increased the Cu, Zn, As, and Pb retentions, did not significantly change Cr, Mn, and Cd, but decreased the Ni retention. The CaO addition enhanced the speciation stability of Cu and transferred the Cr, Cd, and As speciations to the mobile fractions. The increased temperature weakened the Zn and Pb retentions and the speciation stabilities of As and Pb and turned the Cr, Mn, Ni, Cu, Zn, and Cd speciations into the stable fractions. The CaO addition inhibited HCN, NO, NO2, COS, SO2, CS2, and SO3 emissions from the TDS incineration. Neural network-basedmulti-response optimization was implemented to determine the optimal operational temperature for the TDS incineration and the reduction of the 12 gas emissions. The range of 640-755 degrees C with(out) 5% CaO appeared to be most beneficial in terms of both environmental quality and economic efficiency. (C) 2021 Elsevier B.V. All rights reserved.Öğe Parametric assessment of stochastic variability in co-combustion of textile dyeing sludge and shaddock peel(Pergamon-Elsevier Science Ltd, 2019) Xie, Candie; Liu, Jingyong; Büyükada, Musa; Evrendilek, Fatih; Samaksaman, Ukrit; Özyurt, ÖmerThis study aimed at quantification of co-combustion behaviors and kinetic parameters of textile dyeing sludge (TDS) and shaddock peel (SP) in response to blend ratio, heating rate, and temperature. The experimental responses of mass loss (ML) and mass loss rate (MLR) measured using a thermogravimetric analyzer were also estimated using the best-fit multiple non-linear regression (MNLR) models. The independent validations of the models led to high coefficients of determination of 99.8% for ML and 83.8% for MLR. Stochastic uncertainty associated with the model predictors was assessed using Monte Carlo simulations. Our results indicated that the overall cumulative uncertainty was greater in the model predictions of MLR than ML. (C) 2019 Elsevier Ltd. All rights reserved.Öğe Quantifying thermal decomposition regimes of textile dyeing sludge, pomelo peel, and their blends(Pergamon-Elsevier Science Ltd, 2018) Xie, Candie; Liu, Jingyong; Xie, Wuming; Kuo, Jiahong; Lu, Xingwen; Büyükada, Musa; Evrendilek, FatihThermal decomposition behaviors of textile dyeing sludge (TDS), pomelo peel (PP), and their blends (TP) were detected using TG-FTIR. The blend ratios of TDS to PP ranged from 10 to 40 wt% and were subjected to heat above room temperature up to 1000 degrees C under four heating rates. Our results pointed to four stages for TDS combustion and three stages for PP combustion. The interactions between TDS and PP exerted inhibitive effects during the co-combustion process. Releases of CO2 and light organics occurred less with a TP ratio of 70%-30% (TP73) than with the individual fuels. Apparent activation energy (E-a) was obtained using Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods. The FWO-based Ea estimates were in the range of 59.7-122.2 kJ-mol(-1) for TDS, 84.4-243.5 kJ-mol(-1) for PP, and 94.3-142.1 kJ-mol(-1) for TP73. (C) 2018 Elsevier Ltd. All rights reserved.