本研究採用整體質量平衡法(Overall Mass Balance, OMB)與統計學之算術平均分析(Arithmetic Analysis)與迴歸分析(Regression Analysis)方法推求各行業製程之本土化之再利用事業廢棄物其再利用率(Reuse Ratio)和事業廢棄物產出因子(Discharge Factor, DF),同時採用整體質量平衡法與物質流分析(Material Flow Analysis, MFA)探討物質流分析應用於再利用率及產出因子之可行性,期望能將已建立之再利用率及DF實際應用於查核管制上,作為稽查人員預先查核業者廢棄物申報資料與現場查核之工具,以有效達到事業廢棄物管理目標。 本研究針對2種再利用事業廢棄物推估3個製程共計推估6個再利用率及8個廢棄物產出因子。由研究結果發現『廢光阻剝離液』(R-1501)廢棄物之再利用回收作為光阻液之製造程序方面,可得到其平均再利用率約在97.67%上下、回收作為乙醇銨之製造程序其再利用率也約在96.71%上下、回收作為乙醇銨與乙二醇單丁醚之製造程序其再利用率亦約在96.64%上下;而廢矽晶(R-2505)廢棄物之再利用回收作為矽晶圓製造程序方面,其平均再利用率約在99.24%上下;回收矽、塑膠與金屬等製品之物理處理程序其再利用率則約在99.60%上下。本研究另推估59個非再利用之事業廢棄物DF,其中 ≧0.9以上的DF有58個(佔總推估DF數的98%), 介於0.8~0.9者則有1個DF,顯示本研究DF與參數(因子)間之線性相關性相當高。另外本研究推估之DF比對實場申報查核結果,其推估15項廢棄物DF中,誤差值小於5%占總查核的53%,其次為誤差值介於5%至10%之間佔總查核DF的20%,顯示本研究所提的方法對於事業廢棄物之管理有實質的意義,可有效掌握廢棄物的質與量,實為查核管制工作上之一大助益。
The study an application of material flow analysis on reuse ratio and discharge Factor(DF)of industrial wastes for surveillance and Management. It utilizing Overall Mass Balance(OMB) with method of arithmetic analysis and regression analysis to estimate the ratio of industrial wastes reused. It is mainly to treat practicability of material flow analysis on reuse ratio and discharge factor. Planning on surveillance was also conducted with the reuse ratio data and discharge factor. It provides a tool to estimate the quantities of industry wastes onsite in advance will promote the industrial wastes management filled with ambition more effectively. There are two kinds of reuse industrial wastes for 3 processes investigated in this work. This work has carried out total estimated 6 reuse ratio and 8 waste discharge factor. The reuse ratio of the R-1501 waste was found 97.67% in the average for application of the recovery as stripper, 96.71% recovery as Monoethanolamine (MEA), 96.64% recovery as a Monoethanolamine (MEA) and Ethylene Glycol Monobutyl Ether (BDG). Another the reuse ratio of the R-2505 waste was found 99.24% as wafer, 99.60% as Si, plastic and metal. On the other hand the study carried out estimated 59 waste discharge factor in 3 industry. There are 58 discharge factor more than 0.9(the total number of 98%)which showed that had high correlation in the study. Another estimate of the DF in this study compared the results of real field audit report, the estimated 15 waste DF, the error is less than 5% of the total check of 53%, followed by the error between 5-10% of DF among 20% of the total check, which shows that the proposed methods for industrial waste management has real meaning, which can effectively control the quality and quantity of waste. In fact, effective management of the waste is very great benefit of surveillance and management in practical situtation.
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