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권휘웅,Thai Ngan Do,Jiyong Kim 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.113 No.-
In this study, a new decision-supporting platform for the overall supply chain management of the petrochemicalindustries was proposed to maximize business profits. The proposed system integrates variousdecision-supporting models that address the critical challenges, both vertically and horizontally. Specifically, horizontal integration includes various decision-based problems along with the productiveflow on the value chain from raw material purchasing and manufacturing to the final product sales, whilevertical integration involves critical decisions at different levels, including the enterprise supply chain,the plant scheduling/planning, and the process operation. The optimization-based decision platformeffectively supports the business’s supply chain management, plant planning, and process operationstrategy. The platform integrates different decision and featuring models, including a price predictionand a paper trading model for reducing the financial risks, a mathematical model of naphtha thermalcracker for identifying the optimal operating, and an optimization model for maximizing business profits. As a result, business profit was improved by 5.30% with only paper trade optimization, 6.67% with optimaloperating conditions combined with price forecasting, and 11.98% with overall supply chain optimization. Thereby, the proposed platform assists decision-makers in determining the timing andquantity of raw material purchases and final product sales, as well as the operation strategies for processfacilities, utilities, and inventory management. This study could be used to aid in the establishment ofannual planning and scheduling as an auxiliary indicator for business operations.
권휘웅 ( Hwe Eung Kwon ),탁경재 ( Kyong Jae Tak ),김정환 ( Jung Hwan Kim ),오민 ( Min Oh ),채주승 ( Joo Seung Chae ),김현수 ( Hyeon Soo Kim ),문일 ( Il Moon ) 한국화학공학회 2014 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.52 No.6
폭약은 높은 에너지를 포함하는 반응성 물질이며 폭발이 발생할 경우 강한 빛, 높은 열, 소음 및 고압을 발생시킨다. 폭발 지점 주변의 손상은 대부분 높은 과압과 폭풍파에 영향을 받는다. 따라서 폭발에 의한 압력 및 폭풍파의 분석이 매우 중요하다. 본 연구에서는 HMX와 같은 고폭화약의 최대 과압 및 폭풍파 속도를 분석하였다. 먼저 HMX 폭발에 관하여 4가지 경우를 선정하고 폭발현상을 모델링하였으며 HMX의 양에 따른 폭발시뮬레이션을 통하여 최대 과압 및 폭풍파 속도를 도출하였다. 또한, 폭발이 Geometry 중심에서 일어난다고 가정하고 계산된 과압과 폭풍파 속도로부터 폭심에서 인접해 있는 위치의 영향을 분석하였다. 대조군으로 이용된 TNT도 함께 시뮬레이션 및 분석하였으며 HMX시뮬레이션 결과와 비교함으로써 HMX의 상대적인 과압 및 폭풍파속도를 확인하였다. 본 연구는 HMX가 포함된 복합화약이 폭발하였을 경우 최대 과압 및 폭풍파속도 산정 시 기초데이터로 활용할 수 있다. Explosives are reactive material that contain a great amount of high potential energy. They produce detonation if released suddenly, accompanied by the production of strong light, high heat, great noise and high pressure. Damage at surrounding detonation point is affected by high pressure and blast wave for explosives detonation. Consequently, analysis of pressure and blast wave is very important. This study focuses on the analysis of maximum overpressure and blast wave of explosives for safety assurance. First of all, four cases of the amount of HMX were selected. Secondly, maximum pressure and blast wave were calculated through detonation simulation along with a set of TNT and HMX quantities. The peripheral effect of detonation point was analyzed by calculating overpressure and absolute velocity and considering detonation occurred in the center of geometry by HMX. Also, maximum overpressure and blast wave of HMX were compared to equivalent amount of TNT, which was taken as a base case and verified through theoretical HMX graph. This study contributes to the base case for overpressure and blast wave of complex gunpowder containing HMX.
A novel system dynamics model for forecasting naphtha price
유병길,권휘웅,문일 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.4
Fluctuations in naphtha price are directly related to the profit of petrochemical companies. Thus, forecasting of naphtha price is becoming increasingly important. To respond to this need, a naphtha crack (the price gap between naphtha and crude oil) forecasting model is developed herein. The objective of this study was to design a reasonable forecasting model that is immediately available and can be used to develop various naphtha supply strategies. However, it is very difficult to forecast a price value with a high accuracy. Therefore, the proposed model focuses not on the price value but on the direction of the crack. These considerations are vital to a company’s decision-making process. In addition, a system dynamics model that considers causal relations is proposed. It was developed based on heuristics, statistical analysis, seasonal effects, and relationships between factors that affect naphtha price, and it exhibits an accuracy rate of 84%-95% in forecasting of the naphtha crack three months in advance.
Kriging models for forecasting crude unit overhead corrosion
탁경재,김정환,권휘웅,조재현,문일 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.7
Crude unit overhead corrosion is a major issue in the refinery field. However, the corrosion models in the literature are difficult to apply to real refinery processes due to the characteristics of corrosion. We propose a Kriging model, an advanced statistical tool for geostatistics, to forecast the corrosion rate in a real refinery plant. Instead of spatial coordinates, the proposed model employs the non-spatial coordinates of six key corrosion variables: H2S, Cl−, Fe2+, NH3, pH, and flowrate. The Kriging model is compared with two well-known forecasting models, multiple linear regression and an artificial neural network. To overcome the insufficiency of the number of data sets measured in the plant to use the six non-spatial coordinates, the significance probability is applied to reduce the dimensions from six to four. Among all the developed models in this paper, the Kriging model with four corrosion variables showed the best forecasting performance.