Quantitative evaluation of heavy metal pollution hazards in leachate during fermentation before municipal solid waste incineration

Chu, Xu; Jin, Yiying; Chu, Zhujie

doi:10.1016/j.jclepro.2021.130200

Cited by 26 publications

(6 citation statements)

References 48 publications

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“…Furthermore, Sheng et al (2020) claim that simultaneously implementing incentives and penalties can alleviate interest conflicts due to incineration pollution. Moreover, Chu et al (2022) propose raising pollution standards is the foremost step to controlling incineration pollution. In addition, there is a consensus among scholars that waste classification plays a vital role in reducing incineration pollution (Yoshida et al, 2009, Li et al, 2019, Song, Bai et al, 2023.…”

Section: Control Strategy On Waste Incineration Pollutionmentioning

confidence: 99%

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How to control municipal solid waste incineration pollution? Exploration of the third-party supervision.

Tan

2023

Preprint

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Municipal solid waste (MSW) is gradually rising along with residents' living conditions, which boosts the demand of the waste incineration. However, environment and public health are seriously threatened by incineration pollution. In this study, we present a model of third-party enterprise supervision and build a differential game model among the government, third-party supervision enterprise, and waste incinerator. We investigate how to encourage third-party enterprises to increase their supervision and avoid the collision. The results show that: (1) In the long run, the third-party supervision mode is more conducive to reducing incineration pollution. (2) The governments must set a higher penalty for third-party enterprises to avoid the collision. Meanwhile, compared with the supervision approach, we suggest governments in large cities implement penalty mechanisms to prevent collusion. (3) As the amount of MSW increases, compared with the supervision of third-party enterprises on incinerators, the government's punishment policy is more effective in promoting incineration plants to increase pollution control input. The paper offers policy recommendations to the government that can assist to lessen waste incineration pollution and improve MSW management efficiency.

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Section: Control Strategy On Waste Incineration Pollutionmentioning

confidence: 99%

“…Governments worldwide are struggling to seek measures to reduce incineration pollution. For instance, the Chinese government has substantially raised the pollution standards for waste incineration (Jin and Chu, 2022).…”

Section: Introductionmentioning

confidence: 99%

How to control municipal solid waste incineration pollution? Exploration of the third-party supervision.

Tan

2023

Preprint

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“…Deep learning is one of the more commonly used methods in industrial prediction models today [9]. Because of the strong nonlinear fitting ability and generalization level of neural networks, researchers can often obtain nonlinear models between control system input parameters and output parameters, which are fitted based on historical operating data in industrial sites [10]. Commonly used neural network models generally include artificial neural networks (ANNs), long short-term memory neural networks (LSTMs), convolutional neural networks (CNNs), etc.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Main Parameters of Steam in Waste Incinerators Based on BAS-SVM

Chen¹,

Wang²,

Zhong³

et al. 2023

Sustainability

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The main steam parameters of a waste-to-energy plant are the key indicator of the safety and stability of its combustion process. Accurate prediction of the main steam parameters can help the control system to reasonably analyze the combustion conditions and, thus, to greatly improve the combustion efficiency. In this paper, we propose an optimized method for predicting the main steam parameters of waste incinerators. Firstly, a grey relational analysis (GRA) is used to obtain the ranking of the correlation degree between 114 characteristic variables in the furnace and the main steam parameters, and 13 characteristic variables are selected as model inputs. A Spearman-based time delay compensation method is proposed to effectively overcome the influence of time asynchrony on the prediction accuracy. At last, the beetle antennae search (BAS) optimized support vector machine (SVM) model is proposed. Taking advantage of the fast iteration of the beetle antennae search algorithm to find the key hyperparameters of the support vector machine, the optimized main steam parameter prediction model is finally obtained. The simulation results show that the prediction accuracy of this model is greatly improved compared with traditional neural network models, such as long short-term memory neural networks (LSTMs) and convolutional neural networks (CNNs), as well as a single SVM.

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“…The classi cation system of MSW in China is imperfect, which leads to the high moisture content and low heating value of waste. After arriving at the incinerator, the waste is naturally fermented in the storage room for 6-10 days to reduce the moisture content of the waste and increase the calori c value of the waste [3,4] . However, the natural fermentation process produces a lot of leachates, which is a kind of saline wastewater containing a lot of refractory organic matter, ammonia nitrogen and other toxic and harmful substances [3][4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

“…After arriving at the incinerator, the waste is naturally fermented in the storage room for 6-10 days to reduce the moisture content of the waste and increase the calori c value of the waste [3,4] . However, the natural fermentation process produces a lot of leachates, which is a kind of saline wastewater containing a lot of refractory organic matter, ammonia nitrogen and other toxic and harmful substances [3][4][5][6] . The combined process of "pretreatment + biochemical treatment + advanced treatment" is dominant in the eld of leachate treatment in China.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on treatment of leachate concentrate from disk-tube reverse osmosis treatment in a waste incineration plant by gas-liquid contact evaporation

Qi¹,

Huang²,

Qi³

et al. 2023

Preprint

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Gas-liquid contact evaporation is a promising and effective technology for treatment of leachate concentrate (LC) in the waste incineration plant as this technology can utilize local resource such as anaerobic biogas and heat air passing through air preheater in the waste incineration plant turning LC into supplying water for circulating cooling water system. the influence of pH, temperature of air preheater and rate of evaporation on COD and NH3-N in condensate water were investigated in a laboratory-scale evaporator to identify the optimum operation of this technology. The results showed that the COD concentration in condensate water obviously decreased with increase of temperature of air preheater as higher temperature of air preheater led to higher the initial evaporation temperatures, the evaporation rate of water was significantly greater than that of small molecular organic matters with lower boiling point than water. COD in condensate water decreased with the increase of pH, as and the amount of volatile organic matters such as fatty acids, which were hydrolyzed, escaped from LC to condensate water decreased. The rate of evaporation had little influence on COD in the condensate water. NH3-N concentrations in condensate water in all experimental groups were far away from the limit value (14 mg/L) in the water quality standard for industry uses (GB/T 19923 − 2005) in China. When the condensate water can meet the water quality standard for using as supplying water for circulating cooling water system, the energy consumption, carbon emission and economic cost were lowest at the optimum condition which was at 450 ℃ of temperature of air preheater and pH = 6 of LC when CF = 10. The conclusions can promote the industrial application of direct contact evaporation treatment of LC.

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Quantitative evaluation of heavy metal pollution hazards in leachate during fermentation before municipal solid waste incineration

Cited by 26 publications

References 48 publications

How to control municipal solid waste incineration pollution? Exploration of the third-party supervision.

How to control municipal solid waste incineration pollution? Exploration of the third-party supervision.

Prediction of Main Parameters of Steam in Waste Incinerators Based on BAS-SVM

Experimental study on treatment of leachate concentrate from disk-tube reverse osmosis treatment in a waste incineration plant by gas-liquid contact evaporation

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