Prediction of affinity coefficient for estimation of VOC adsorption on activated carbon using V-matrix regression method

Mottaghitalab, Amirreza; Khanjari, Amir; Alizadeh, Reza; Maghsoudi, Hafez

doi:10.1007/s10450-021-00321-z

Cited by 3 publications

(7 citation statements)

References 32 publications

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“…e pollution prevention and control of VOCs mainly manages the source and process of pollution sources by formulating standards, improving systems, improving energy structure, changing raw materials, and improving technological processes; however, most of the exhaust gas emitted in the production process adopts terminal treatment, which is mainly divided into two technologies: destruction and recycling [14,15]. Destruction technology mainly converts toxic and harmful organic pollutants into nontoxic, harmless, or low-toxic substances through chemical reactions and discharges them into the atmosphere, including the catalytic combustion method, photocatalytic method, biodegradation method, and low temperature plasma method, the recovery technology mainly separates and enriches organic pollutants through physical methods such as temperature, pressure, and filtration and realizes the resource utilization of VOCs, including the adsorption method and condensation method [16,17].…”

Section: Vocs Control Technologymentioning

confidence: 99%

The Adsorption of VOCs by Honeycomb Ceramics Loaded with Molecular Sieves

Zhang

2022

Journal of Chemistry

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In order to improve the adsorption performance of molecular sieve honeycomb ceramics for VOCs, the author proposes a research method for the adsorption performance of VOCs based on the honeycomb ceramics loaded with molecular sieves. The method prepared cordierite honeycomb ceramic-supported HY, Na Y, USY, ZSM-5-300, and ZSM-5-360 monolithic adsorption materials by the coating method. Using toluene, ethyl acetate, isopropanol, and acetone as adsorbates, the adsorption properties of single-component and mixed-component organic compounds on the supported molecular sieve honeycomb ceramics were investigated. The result shows ZSM-5-300 has the largest adsorption capacity for the four adsorbates, which are toluene 68.0 mg/g, ethyl acetate 118.7 mg/g, isopropanol 70.9 mg/g, and acetone 72.5 mg/g. The test results show that ZSM-5-300 molecular sieve has high saturated adsorption capacity and is an ideal VOCs adsorption material.

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Section: Vocs Control Technologymentioning

confidence: 99%

The Adsorption of VOCs by Honeycomb Ceramics Loaded with Molecular Sieves

Zhang

2022

Journal of Chemistry

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“…Theorem III.1. Given R(x) in (3) and R F red (x) in (17), assuming that the distribution structure of the data is not considered, i.e., F (x, y) = θ(x − x 0 )θ(y − y 0 ), R F red (x) degenerates to classical expect risk R(x), where…”

Section: B Expected Risk Of Fredholm Equationmentioning

confidence: 99%

“…(proof is in the appendix) In short, the statistical formulation of the original classification problem can be expressed as: in a given set of functions F, estimate the one that minimizes the expected risk functional (17), under the assumption that probability measure F (x) and F (x, y) are unknown but m i.i.d. pairs (x i , y i ), where i = 1, ..., m, satisfied this distribution are given.…”

Section: B Expected Risk Of Fredholm Equationmentioning

confidence: 99%

“…A common method is to approximate the unknown cumulative distribution functions by their empirical cumulative distribution functions (4). Using approximation (4) in the expected loss function (17), we obtain the empirical loss function and the expression of the specific empirical risk will be described in detail in the next section.…”

Section: Empirical Risk Of Fredholm Equationmentioning

confidence: 99%

“…Now, we consider the empirical estimation of the expected risk (17) with the 0-1 loss function [11], [29]. As is discussed above, we approximate the unknown cumulative distribution function F (x ′ , y ′ ) by using empirical cumulative distribution function (4).…”

Section: Classification By Cumulative Distribution Estimation a Model...mentioning

confidence: 99%

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Classification by Estimating the Cumulative Distribution Function for Small Data

Zhu

Shao

2023

IEEE Access

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In this paper, we study the classification problem by estimating the conditional probability function of the given data. Different from the traditional expected risk estimation theory on empirical data, we calculate the probability via Fredholm equation, this leads to estimate the distribution of the data. Based on the Fredholm equation, a new expected risk estimation theory by estimating the cumulative distribution function is presented. The main characteristic of the new expected risk estimation is to measure the risk on the distribution of the input space. The corresponding empirical risk estimation is also presented, and an εinsensitive L 1 cumulative support vector machines (ε-L 1 VSVM) is proposed by introducing an insensitive loss. It is worth mentioning that the classification model and the classification evaluation indicator based on the new mechanism are different from the traditional one. Experimental results show the effectiveness of the proposed ε-L 1 VSVM and the corresponding cumulative distribution function indicator on validity and interpretability of small data classification.

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Abatement of volatile organic compounds in industrial bakery plants, a state-of-the-art analysis and technical-economic evaluation for a plant in northern Italy

Solari,

Suppini,

Bocelli

et al. 2024

International Journal of Food Engineering

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The release of volatile organic compounds (VOCs) into the environment considerably contributes to air pollution. To reduce the amount of these pollutants in the atmosphere, it has been necessary to introduce strict government regulations. In the bakery industry specifically, great attention is paid to the abatement of ethyl alcohol emissions released from the cooking chambers of industrial ovens. To control these emissions, VOC abatement devices are adopted, generally based on thermal and non-thermal technologies. After a detailed review of the most common systems for VOC reduction, the different technologies were evaluated by means of a technical-economic feasibility study focusing on an industrial bakery plant located in northern Italy, to identify the optimal abatement technology, intended as the solution that reaches the best trade-off among the legislative, environmental and economic aspects. Based on these considerations, the suggested choice resulted being the vacuum ultraviolet module, because of its efficiency and economic convenience.

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Prediction of affinity coefficient for estimation of VOC adsorption on activated carbon using V-matrix regression method

Cited by 3 publications

References 32 publications

The Adsorption of VOCs by Honeycomb Ceramics Loaded with Molecular Sieves

The Adsorption of VOCs by Honeycomb Ceramics Loaded with Molecular Sieves

Classification by Estimating the Cumulative Distribution Function for Small Data

Abatement of volatile organic compounds in industrial bakery plants, a state-of-the-art analysis and technical-economic evaluation for a plant in northern Italy

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