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회분식/반연속식 공정의 설계와 합성
The Design and Synthesis of Batch/Semicontinuous Processes
HWAHAK KONGHAK, April 1992, 30(2), 237-246(10), NONE
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Abstract
지금까지는 회분식/반연속식 공정의 초기설계를 향상시키기 위해서 진화론적 방법이나 경험적인 법칙을 사용하였다. 그러나, 본 연구의 접근방식은 모든 가능한 공정구조를 포함하는 superstructure를 만들고 MINLP(mixed integer nonlinear programming) 모델을 사용해서 최적 공정 네트워크를 얻는다. MINLP 모델로 일(task)의 합병과 평행 장치를 사용하는 후보자리를 결정할 수 있으므로, 병목(bottlenecking)단계에 장치를 평행하게 추가하거나 일(task)을 합병/분리함으로서 회분식/반연속식 공정에서 장치 투자비의 경제적인 절감을 가능하게 한다. MINLP 모델은 GRG(generalized reduced gradient)알고리듬을 사용하며 풀며 MINLP 모델의 효용성은 예제 문제를 통해서 증명되어 진다. 또한 실제 공정에서 많이 응용되고 있는 중간저장탱크의 추가를 통하여 회분식/반연속식 설비의 장치투자비 감소 효과를 살피고 추가되는 중간저장탱크의 최적 크기를 결정하는 방법을 제시한다.
Until now, an evolutionary method or empirical rule has been used to improve the initial design of batch/semicontinuous processes. In this paper, the proposed approach is to make a superstructure which fully contains all possible structures. And then suing a MINLP(mixed integer nonlinear programming) model, we obtain the optimal process network. MINLP model contains methodology deciding the candidates of mer-ging tasks and using parallel equipments. Thus, the economic savings of capital cost of batch/semicontinuous processes are possible by adding equipment in parallel for bottleneck stages or merging/splitting tasks. MINLP model is solved by using a generalized reduced gradient algorithm. The effectiveness of MINLP model in single product batch plant is demonstrated by solving example problems. Also, by inserting intermediate storage tank, we reduce the capital cost for batch/semicontinuous processes and determine the optimal size of intermediate storage tank.
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