지능공정시스템 연구실

Recently, many studies on alternative uses of biogases, particularly, LFG, have been performed with an emphasis on the value of LFG as an energy source from technical, economic, and environmental perspectives. The optimal operation conditions (e.g. temperature and pressure) and major design specifications (e.g. reactor length and number of tubes) are determined using an optimization algorithm in Aspen Plus. Olefins, which are primary produced from petroleum and natural gas, are important chemical building blocks. Due to the rapid depletion of petroleum sources, many alternative feedstock and technological pathways have been investigated. Here, the novel process of light hydrocarbons production from captured CO2 and renewable H2 was developed and evaluated using Aspen Plus Simulator. Especially, techno-economic analysis(TEA) and Life cycle assessment(LCA) were used to evaluate the techno-economic feasibilities and environmental impact of the proposed process, identify bottleneks for process improvement such as production cost and reducing emission. The pharmaceutical industry takes tremendous manufacturing time due to the decision on the integration of target material identification and unit operation combination. To improve the manufacturing process, the production schedule such as enterprise-scale resource management has been a challenging task. Recently, the rapid and accurate material management capability of the electronic track tage devices ahs been prvoed thereby expecting the production schedule improvement. Radio-fequency identification(RFID) is a salient example of the tracking device for optimizing device for optimizing process operation, inputting materials, and enabling efficient delivery. RFID-based integrated decision making frameworks is developed to prov