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- In relation to this article, we declare that there is no conflict of interest.
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Received January 7, 2015
Accepted February 3, 2015
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수학적 모델링 방법에 기초한 복합발전 공정의 정상상태 모사시스템 개발
Process Modeling System of a Combined Cycle Plant for Steady State Simulation with Model Based Approach
한밭대학교 화학생명공학과, 34158 대전시 유성구 동서대로 125 1한국전력공사 전력연구원, 34056 대전시 유성구 문지로 105 2GS 건설 발전설계 Proposal 팀, 03159 서울시 종로구 종로 33 그랑서울
Hanbat National University, 125, Dongseo-daero, Yuseong-gu, Daejeon 34158, Korea 1KEPCO Research Institute, Moonji-ro, Yuseong-gu, Daejeon 34056, Korea 2GS E & Corp, Jong-ro 33, Jongno-gu, Seoul 03159, Korea
minoh@hanbat.ac.kr
Korean Chemical Engineering Research, October 2015, 53(5), 545-552(8), 10.9713/kcer.2015.53.5.545 Epub 12 October 2015
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Abstract
복합발전 공정의 모델링 및 모사는 공정의 운전 및 설계 조건에 따른 공정변수의 변화를 정량적으로 예측하기 위한 중요한 접근방법이다. 본 연구에서는 현재 사용되는 복합발전공정의 정상상태 모사기의 단점을 보완하여, 사용자의 편의성과 개발자의 핵심기술 모델링을 가능하게 하는 공정 모델링 시스템을 개발하였다. 복합발전 공정의 주요 장치들을 분석하여 수학적 모델을 개발하였으며 이를 종합하여 모델라이브러리로 구성하였다. 또한 모사의 목적과 입수 가능한 자료에 따라 사용되는 모델의 상세도가 다르다는 점을 고려하여 주요장치에 대해 다른 상세도의 모델을 개발하였다. 복합발전 상업공정을 개발된 모델링 시스템을 사용하여 모델링과 모사를 수행하였으며 모사의 결과를 데이터자료와 비교 검증하였다. 검증의 모사결과와 자료데이터는 1% 내의 오차를 보였으며 개발된 모델링 시스템이 실제 공정에 응용될 수 있음을 보여주었다.
Process modeling and simulation is a powerful methodology to quantitatively predict the change of process variables when operating and design conditions are changed. In this study, considering drawbacks of currently used process simulator for combined cycle plants, we developed process modeling system equipped with an ease of use and flexibility for model development. For this purpose, the analysis of combined cycle processes was carried out and consequently, mathematical models and libraries were developed. Furthermore, in view of the fact that the level of the abstraction of process models depends on the purpose of simulation as well as the available data, simple and rigorous models were also developed for some important units. In use of reference combined plant, we executed process simulation using the developed modeling system and the comparison was made between the results of simulation and the reference data. Less than 1% marginal error was identified and we concluded that the modeling system can be applied for commercial combined cycle processes.
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