石油学报(石油加工)
石油學報(石油加工)
석유학보(석유가공)
ACTA PETROLEI SINICA(PETROLEUM PROCESSING SECTION)
2014年
6期
1072-1079
,共8页
延迟焦化%关键参数%非线性模型%优化
延遲焦化%關鍵參數%非線性模型%優化
연지초화%관건삼수%비선성모형%우화
delayed coking%key parameters%nonlinear model%optimization
提出了基于统计模型的易操作的延迟焦化关键参数优化方法。首先基于大量的工业装置数据,利用最小二乘法回归出置信度高的关于能耗和产品收率的多项式模型。其次选取操作温度、压力和循环比作为优化变量,以装置能耗和物料效益的权衡为目标函数,考虑建立包含能耗、收率、循环比、加热炉出口温度、操作压力约束在内的多种参数同时优化的非线性模型,并利用建模软件GAMS求解该模型。最后采用边际价值分析,辨识各个参数之间的耦合关系及敏感性,为实际操作调优提供指导。通过该方法计算得到某延迟焦化装置优化的操作温度、压力和循环比分别为495.767℃,0.171 MPa和0.498,与现有运行状态相比,模型预测可增加经济效益6.19×106 RMB /a。
提齣瞭基于統計模型的易操作的延遲焦化關鍵參數優化方法。首先基于大量的工業裝置數據,利用最小二乘法迴歸齣置信度高的關于能耗和產品收率的多項式模型。其次選取操作溫度、壓力和循環比作為優化變量,以裝置能耗和物料效益的權衡為目標函數,攷慮建立包含能耗、收率、循環比、加熱爐齣口溫度、操作壓力約束在內的多種參數同時優化的非線性模型,併利用建模軟件GAMS求解該模型。最後採用邊際價值分析,辨識各箇參數之間的耦閤關繫及敏感性,為實際操作調優提供指導。通過該方法計算得到某延遲焦化裝置優化的操作溫度、壓力和循環比分彆為495.767℃,0.171 MPa和0.498,與現有運行狀態相比,模型預測可增加經濟效益6.19×106 RMB /a。
제출료기우통계모형적역조작적연지초화관건삼수우화방법。수선기우대량적공업장치수거,이용최소이승법회귀출치신도고적관우능모화산품수솔적다항식모형。기차선취조작온도、압력화순배비작위우화변량,이장치능모화물료효익적권형위목표함수,고필건립포함능모、수솔、순배비、가열로출구온도、조작압력약속재내적다충삼수동시우화적비선성모형,병이용건모연건GAMS구해해모형。최후채용변제개치분석,변식각개삼수지간적우합관계급민감성,위실제조작조우제공지도。통과해방법계산득도모연지초화장치우화적조작온도、압력화순배비분별위495.767℃,0.171 MPa화0.498,여현유운행상태상비,모형예측가증가경제효익6.19×106 RMB /a。
A convenient method was established based on statistical models for the key parameters optimization of delayed cokers .The polynomial models were obtained by the least square method about energy consumption and product yields , and the operation temperature , pressure and recycle ratio were selected as the optimization variables .Taking the trade‐off between energy consumption and material benefit as the objective function , a nonlinear programming model was built and solved by GAMS .Finally , the marginal value analysis was applied to identify the relation and sensitivity of different parameters , w hich could provide guidance for practical operating optimization .A case study showed that the optimal operating temperature , pressure and recycle ratio were 495.767℃ , 0.171 MPa and 0.498 , respectively .And compared with the existing state , the optimal model showed that the profit was increased by 6.19 × 106 RMB/a .