친환경 화학공정 모델링/설계 연구실

ECML integrates process modeling, intelligent systems, and sustainability assessment for resilient water and chemical processes. Our research focuses on the development of physics-based and computational models for the analysis, design, and optimization of advanced water and chemical process systems. By integrating fundamental transport phenomena, mass and energy balances, thermodynamics, membrane transport, and dynamic process behavior, we aim to understand complex process interactions and translate them into practical system designs. Numerical simulation and process modeling are used to predict system performance under various operating conditions, identify performance-limiting mechanisms, and determine optimal process configurations. Our research spans individual unit processes to integrated water–energy–resource systems, with particular emphasis on high-recovery desalination, low-energy membrane processes, brine management, resource recovery, and sustainable process design. Development of dynamic models for batch reverse osmosis (BRO), semi-batch reverse osmosis (SBRO), and hybrid semi-batch/batch reverse osmosis (HSBRO) to analyze time-dependent changes in pressure, concentration, permeate production, recovery, and specific energy consumption. Modeling of membrane-based separation processes including RO, FO, and related membrane systems to quantitatively describe water and solute transport and evaluate process performance under different feed concentrations, pressures, temperatures, and operating conditions. Simulation of transient process behavior in systems where operating conditions continuously change over time, with particular consideration of concentration polarization, membrane compaction, scaling, fouling, and salt accumulation in high-recovery membrane pro