회분식 증류 공정을 모델링하기 위해서는 평형상수와 엔탈피값이 필요하며 이 값들은 열역학적인 계산 방법에 의해 게산된다. 석탄 유분인 coal tar의 경우에는 성분이 다양하고 coal tar내의 성분을 대부분 알 수 없으므로 가상성분으로 만들어 적절한 물성예측식을 사용하여 물성값을 계산해 주어야 한다. 본 연구에서는 기존의 물성예측식에 의해 계산된 값과 이미 알려진 coal tar 유분의 실제물성값의 차이를 기 개발된 물성예측식에 대해 비교하였고 물성예측식에 필요한 2개의 parameter(NBP, SG)대신 1개의 변수(NBP)를 사용하여 간단한 물성예측식을 도출하였다. 또한 이상 기체 열용량 예측식의 경우에도 같은 방법을 적용하였다. 개발된 물성 예측식 및 회분식 증류공정프로그램은 coal tar계에 적용하여 coal tar 중 유효성분 분리를 위해 효율적으로 적용할 수 있다 하겠다.

Full-scale utilizations of batch separation process often require knowledge about thermodynamics and correlation techniques of physical properties of complex mixture consisting of a great number of many unknown components. Various empirical correlations have been proposed to predict the physical properties mostly about the pseudo component of petroleum. In this study, one parameter correlations are developed for the calculations of the critical physical properties and ideal heat capacity of the pseudo-component of coal tar fractions. Developed model can provide a tool for the design and operations for the batch distillation of coal tar mixture.

Batch Process Pseudo Component Properties Coal Tar

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