• 沒有找到結果。

Modeling VOCs Adsorption onto Activated Carbon

N/A
N/A
Protected

Academic year: 2021

Share "Modeling VOCs Adsorption onto Activated Carbon"

Copied!
1
0
0

加載中.... (立即查看全文)

全文

(1)

Modeling VOCs Adsorption onto Activated

Carbon

張怡怡

Chuang CL;Chiang PC;Chang EE;;

摘要.

Abstract

The activated carbon adsorption process is affected by the characteristics of adsorbent, adsorbate and environmental conditions. In this study, both adsorption and desorption processes are assumed to occur simultaneously and a numerical model was developed with a non-linear driving force in conjunction with the Langmuir model for predicting the overall adsorption process. The numerical model provides both adsorption and desorption rate constants and activation energies. The resultant equilibrium constants are of the same order of magnitude as reported by other studies. Results show that the model could well predict the adsorption isotherms and breakthrough curves under various conditions

參考文獻

相關文件

In this paper, we propose a practical numerical method based on the LSM and the truncated SVD to reconstruct the support of the inhomogeneity in the acoustic equation with

Field operators a † ↵, (q) and a ↵, (q) create or destroy a photon or exciton (note that both are bosonic excitations) with in-plane momentum q and polarization (there are

introduction to continuum and matrix model formulation of non-critical string theory.. They typically describe strings in 1+0 or 1+1 dimensions with a

Thus, both of two-dimensional Kano model and IPGA mode are utilized to identify the service quality of auto repair and maintenance plants in this study, furthermore,

The study was based on the ECSI model by Martensen et al., (2000), combined with customer inertia as a mediator in the hope of establishing a customer satisfaction model so as

This study investigates the effects of the initial concentration, initial pH value, and adsorption temperature on the adsorption behaviors between Cr(IV) ion with a

Therefore, a new method, which is based on data mining technique, is proposed to classify driving behavior in multiclass user traffic flow.. In this study, driving behaviors

There was a significant difference in behaviors of a low-carbon diet among with different mother’s occupations.A positive correlation was gained among knowledge attitudes