• 시스템엔지니어링학술지
• /
• 제15권1호
• /
• pp.25-33
• /
• 2019

In the plant industry, the share of equipment accounts for 45 ~ 75%, which is very high. It is a traditional plant centered on processes and reactions like petroleum and chemical plants. Renewable energy generation plants such as wind power generation and solar power generation are equipment-centric plants. Equipment-centric plants are very important not only in the EPC phase but also in the operation and management phase. The procurement of equipment for plant operation and management can be divided into make and buy. Make is a method of producing equipment itself, and buy is a method of procuring equipment from the outside. The procurement method of the equipment directly affects the plant operation and management cost. In this study, the decision making of equipment procurement method for plant operation and management is defined as 4 phase. Each phase is selection of procurement decision-making objects, technology strategy perspective, finance perspective, and production perspective. In detail, we defined selection process of procurement decision-making objects and technology strategy perspective process. We will contribute to the enhancement of the competitiveness of the plant operation and management area by carrying out researches on the process and application examples of financial and production perspectives in the future.

• 플랜트 저널
• /
• 제5권3호
• /
• pp.50-58
• /
• 2009

In this paper, the present condition for localization of process pumps and the enhancement method of the localization ratio of process pumps for refinery and chemical plant market were studied. The market of plant industry in the world has grown rapidly since 2000. However, the profit of domestic plant EPC compaies cound not have been increased as much as the market scale because they procured most of equipment from overseas. To make remarkable profit of plant EPC companies in the petrochemical industry, localization of equipments is required. Suitable equipment for localization is process pump applied API 610 standard. An purchased amount of pumps from overseas by domestic plant EPC companies in the last two years were 230 billion won. If process pumps are localized then an profit of plant EPC project will increase.

• 한국방사성폐기물학회:학술대회논문집
• /
• 한국방사성폐기물학회 2018년도 추계학술논문요약집
• /
• pp.390-391
• /
• 2018

• 유체기계공업학회:학술대회논문집
• /
• 유체기계공업학회 2005년도 연구개발 발표회 논문집
• /
• pp.273-277
• /
• 2005

The large particles of suspended matter in raw water can be removed by allowing them to settle out in a presedimentation basin. But there are smaller particles in almost all surface water and some groundwater that will not settle out within a reasonable time without some help to accelerate the process, In the coagulation and flocculation processes, nonsettleable solids are converted into large and heavier settleable solids by physical-chemical changes broght about by adding and mixing coagulant chemicals into the raw water. The object of this research was to improve corrective injection method for low dissolution liquid in the water treatment plant. A sort of chemical feed equipment are diaphram pump, flow control in combined magnetic flowmeter md control valve, roto dipper wheel system and tube pump. Particularly low dissolution liquid (Calcium Hydroxide) put in a bit by feed equipment, tube pump is very useful method for corrective injection method in the water treatment plant.

• 대한안전경영과학회지
• /
• 제1권1호
• /
• pp.183-195
• /
• 1999

Most of chemical plant are using toxic and dangerous materials, inflammable and poisonous. There are many accidental dangers by escaping of fire, explosive and poisonous materials in case of high temperature and pressure. The accidents lead to taking employer's and local people's life and environmental contamination. Therefore, 27 small-medium chemical plant, which size is 30 ∼ 200 employees out of safety management agent ill the area of A was selected in this study. The problems of safety management and several countermeasures at the chemical plants was indicated through the analyzed data. Prior to this analysis, top managers' concerns, equipment maintenance for the safety management are needed. For the future, calamity prevention countermeasures by industrial disaster analysis are needed and active safety management programs are investigated for the industrial disaster prevention and productivity enhancement at the chemical plant.

• 대한안전경영과학회:학술대회논문집
• /
• 대한안전경영과학회 1999년도 추계학술대회
• /
• pp.97-108
• /
• 1999

Most of chemical plant are using toxic and dangerous materials, inflammable and poisonous. There are many accidental dangers by escaping of fire, explosive and poisonous materials in case of high temperature and pressure. The accidents lead to taking employer's and local people's life and environmental contamination. Therefore, 27 small-medium chemical plant, which size is 30∼200 employees out of safety management agent in the area of A was selected in this study. The problems of safety management and several countermeasures at the chemical plants was indicated through the analyzed data. Prior to this analysis, top managers' concerns, equipment maintenance for the safety management are needed. For the future, calamity prevention countermeasures by industrial disaster analysis are needed and active safety management programs are investigated for the industrial disaster prevention and productivity enhancement at the chemical plant.

• 한국가스학회지
• /
• 제10권1호
• /
• pp.13-18
• /
• 2006

산업재해를 방지하고 사고시에 적절한 대책을 마련하기 위해서는 각 위험설비와 위험물질로부터 발생할 수 있는 사고유형, 발생가능성 및 피해를 객관적인 단위로 평가하는 정략적 위험성평가가 수행되어야 하며, 이러한 정량적 평가를 수행하기 위해서는 신뢰도 데이터베이스가 필수적이다. 따라서, 본 연구에서는 사업장에서 설비 및 기기에 대한 신뢰도 데이터베이스를 구축하기 위해서 신뢰도 데이터 수집 및 분석체계구축, 자료 입력 및 분석 소프트웨어를 개발하여 구축된 자료를 토대로 정량적 위험성 평가에 활용할 수 있는 방법론을 제시하였다.

• 한국안전학회지
• /
• 제31권3호
• /
• pp.162-167
• /
• 2016

As the simple empirical and phenomenological model applied to the analysis of leakage and explosion of chemical substances does not regard numerous variables, such as positional density of installations and equipment, turbulence, atmospheric conditions, obstacles, and wind effects, there is a significant gap between actual accident consequence and computation. Therefore, the risk management of a chemical plant based on such a computation surely has low reliability. Since a process plant is required to have outcomes more similar to the actual outcomes to secure highly reliable safety, this study was designed to apply the CFD (computational fluid dynamics) simulation technique to analyze a virtual prediction under numerous variables of leakages and explosions very similarly to reality, in order to review the computation technique of the practical safety distance at a process plant.

• Korean Chemical Engineering Research
• /
• 제43권5호
• /
• pp.571-578
• /
• 2005

불연속 화학공정은 소비자 수요에 탄력성 있게 대처할 수 있는 장점이 있는 반면에 그 특유의 동특성 때문에 복잡하고, 계획된 조업 시간과 실제 조업 시간 사이에서 외란(disruption) 또는 불확실 변수(uncertainty)에 의한 차이가 자주 발생하는 단점이 있다. 이에, 본 논문에서는 예측 생산계획(predictive scheduling)에 의해 결정된 생산계획에서 미래에 발생하는 공정 변수 값의 변화를 실시간으로 예측 생산계획을 수정, 제시하여 주는 생산 계획 시스템인 동적 생산계획(reactive scheduling) 기법을 개발하였다. 불확실 인자를 고려한 동적 생산계획에서, 본 논문에서는 장치 이상(equipment failure)이 발생하였을 때 공정 운전조건의 변화를 실시간으로 반영하여, 예측 생산계획(predictive scheduling) 모델에 의하여 제시된 전체 생산 계획을 최대한 유지하고 공정 변수의 변화를 실시간으로 반영하기 위하여 right shift rescheduling과 total regeneration 기법을 사용하였다. 또한, 불확실 인자의 발생 전후의 predictive scheduling과 reactive scheduling 간의 변화 정도를 측정하는 수단인 schedule stability 위하여, 본 논문에서는 수정된 sequence deviation과 percentage change in makespan을 사용하여 제안된 동적 생산계획의 안정성을 측정하였다. 본 논문에서 제안한 동적 생산계획 시스템은 기존에 제시되었던 경험 법칙에 의한 결과값에 비해 좋은 결과를 보여주었다.

• Journal of Computational Design and Engineering
• /
• 제1권1호
• /
• pp.13-26
• /
• 2014

Recently, renovations of plant equipment have been more frequent because of the shortened lifespans of the products, and as-built models from large-scale laser-scanned data is expected to streamline rebuilding processes. However, the laser-scanned data of an existing plant has an enormous amount of points, captures intricate objects, and includes a high noise level, so the manual reconstruction of a 3D model is very time-consuming and costly. Among plant equipment, piping systems account for the greatest proportion. Therefore, the purpose of this research was to propose an algorithm which could automatically recognize a piping system from the terrestrial laser-scanned data of plant equipment. The straight portion of pipes, connecting parts, and connection relationship of the piping system can be recognized in this algorithm. Normal-based region growing and cylinder surface fitting can extract all possible locations of pipes, including straight pipes, elbows, and junctions. Tracing the axes of a piping system enables the recognition of the positions of these elements and their connection relationship. Using only point clouds, the recognition algorithm can be performed in a fully automatic way. The algorithm was applied to large-scale scanned data of an oil rig and a chemical plant. Recognition rates of about 86%, 88%, and 71% were achieved straight pipes, elbows, and junctions, respectively.