• 作者： Chao, Y.C.; Huang, H.P.; Yang, W.L.et al.
• 中文摘要： 工業用殘渣油加氫脫硫反應(RDS)工場為一僅能提供一些溫度測量點和入、出口硫濃度的複雜滴流床反應器, 由這些極有限的操作數據, 如何求此四個 RDS反應器的最適操作入口溫度, 淬冷氫氣流量為一非常重要的問題。在這篇研究中, 首先建立一個能代表實際RDS 工場的程序模擬器, 然後發展出一能描述複雜反應的灰盒子模式, 灰盒子模式中的動力學和觸媒老化模式參數可由模擬器所產生的數據來識別, 依據此灰盒子模式, 可執行工場設定點的最適化, 以求出反應器入口溫度和三個淬冷氫氣流量的最適設定點。
• 英文摘要： The industrial Residue Hydrodesulfurization (RDS) plant is a complex trickle bed reactor which provides only some temperature measurements and inlet, outlet sulfur concentrations. From these very few limited operating data, how to find the optimal operating inlet temperature and quench hydrogen gas flow rate of the four RDS reactors, is a very important problem. In this research, the process simulator which could represent the real RDS plant is built first and then a grey box model which could describe the complex reaction is to be developed. The kinetic and deactivation model parameters of the grey box model can be identified by using data simulated from the simulator. According to the grey box model, the plant set-point optimization is to be executed to find the best set point values for reactor inlet temperature and three quency hydrogen gas flow rates.
• 中文關鍵字： 加氫脫硫反應器; 模擬; 識別; 設定點; 最適化
• 英文關鍵字： Hydrodesulfurization Reactor; Simulation; Identification; Set-Point; Optimization