Earticle

Recently, developing and applying of the double skin, which can utilize the natural energy with more aggressive characteristic, is now in study. The studies of the double skin are been constantly in progress in advanced countries as well as in domestic. And the double skin has lately been put to practical use. This study has selected the building with the box-typed double skin system and performed the thermal performance prediction of double skin system using TRNSYS. The U-value of the double skin system has been calculated. And this one has compared the measured U-value with the simulated U-value of double skin system. The results of comparison between experiment and the simulation were similar. So a prediction method on thermal performance of the box-typed double skin using TRNSYS simulation has secured a feasibility.

This paper proposes the hybrid Complex-PSO algorithm based on the complex search method and particle swarm optimization (PSO) for unconstrained optimization. This hybridization intends to produce faster and more accurate convergence to the optimum value. These hybrid will concentrate on determining the dynamic load model parameters, the ZIP model and induction motor model parameters. Measurement-based parameter estimation, which employs measurement data to derive load model parameters, is used. The theoretical foundation of the measurement-based approach is system identification. The main objective of this paper is to demonstrate how the standard particle swarm optimization and complex method can be improved through hybridization of the two methods and the results will be compared with that of their original forms.

Boiler design should be desinged to maximize thermal efficiency of the system under imposed load requirement and a boiler should be validated for transient operation. If a proper prediction is possible on the transient behavior and transient characteristics of a boiler, one may asses the performance of boiler component, control logics and operation procedures. In this work, dynamic modeling method of boiler is presented and dynamic simulation of load runback scenario was carried out on suprecritical oil-firing boiler.

화학 공장에서 플레어 시스템은 공장의 안전에 지대한 영향을 주는 아주 중요한 요소이다. 만약, 플레어 시스템이 필요보다 작게 설계 된다면, 위급 상황 발생 시 끔찍한 사고를 유발할 수 있다. 반면, 플레어 시스템이 필요보다 크게 설계하게 된다면 공장을 건설하는데 드는 비용의 증가를 피할 수가 없게 된다. 따라서, 산업계에서는 적절한 플레어 시스템의 설계를 위해 정확한 플레어 배출량을 예측하고자 오랫동안 노력해왔다. 미국석유협회에서는 플레어 배출량 계산을 위한 가이드라인을 제시하였고, 많은 설계 회사들은 정상상태 열 및 물질 수지식을 이용한 방법을 개발하여 플레어 배출량을 예측해 왔다. 하지만, 이러한 방법들은 많은 보수적인 가정들 하에 플레어 배출량을 계산하여 필요보다 크게 설계, 막대한 비용을 초래할 수 있다. 본 연구에서는 기존 방법들이 가지는 문제들을 해결하기 위해 공정제어가 포함된 동적 모사를 통해 플레어 배출량을 계산하는 새로운 절차를 제시하였고, 이 절차에 따라 에탄 분리탑의 배출량을 성공적으로 예측함으로써 절차의 효용성을 증명하였다.

A flare system is a very important system that crucially affects on the process safety in chemical plants. If a flare system is designed too small, it cannot prevent catastrophic accidents of a chemical plant. On the other hand, if a flare system is designed too large, it will waste resources. Therefore, reasonable relief load estimation has been a crucial issue in the industry. American Petroleum Institute (API) suggests basic guidelines for relief load estimation, and a lot of engineering companies have developed their own relief load estimation methods that use an unbalanced heat and material method. However, these methods have to involve lots of conservative assumptions that lead to an overestimation of relief loads. In this study, the new design procedure for a flare system based on dynamic simulation was proposed in order to avoid the overestimation of relief loads. The relief load of a deethanizer process was tested to verify the performance of the proposed design procedure.