scholarly journals Challenges of the application of data-driven models for the real-time optimization of an industrial air separation plant

2016 ◽  
Author(s):  
Dionysios P. Xenos ◽  
Olaf Kahrs ◽  
Matteo Cicciotti ◽  
Fernando Moreno Leira ◽  
Nina F. Thornhill
Keyword(s):  
Real Time ◽  
Air Separation ◽  
Data Driven ◽  
Separation Plant ◽  
The Real ◽  
Time Optimization ◽  
Real Time Optimization

Successful Real-Time Optimization of a Highly Complex, Integrated Gas System: Intelligent Energy in the Real World

2012 ◽  
Author(s):  
Derek Gobel ◽  
Jan Briers ◽  
Frank de Boer ◽  
Ron Cramer ◽  
Kok-Lam Lai ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
The Real ◽  
Time Optimization ◽  
Gas System ◽  
Real Time Optimization

Real-time optimization using gradient adaptive selection and classification from infrared sensors measurement for esterification oleic acid with glycerol

2017 ◽  
Vol 10 (2) ◽  
pp. 130-144 ◽  
Author(s):  
Iwan Aang Soenandi ◽  
Taufik Djatna ◽  
Ani Suryani ◽  
Irzaman Irzaman
Keyword(s):  
Real Time ◽  
Sensor Data ◽  
Necessary Condition ◽  
Support Vector ◽  
Adaptive Selection ◽  
Content Type ◽  
The Real ◽  
Time Optimization ◽  
Starting Point ◽  
Real Time Optimization

Purpose The production of glycerol derivatives by the esterification process is subject to many constraints related to the yield of the production target and the lack of process efficiency. An accurate monitoring and controlling of the process can improve production yield and efficiency. The purpose of this paper is to propose a real-time optimization (RTO) using gradient adaptive selection and classification from infrared sensor measurement to cover various disturbances and uncertainties in the reactor. Design/methodology/approach The integration of the esterification process optimization using self-optimization (SO) was developed with classification process was combined with necessary condition optimum (NCO) as gradient adaptive selection, supported with laboratory scaled medium wavelength infrared (mid-IR) sensors, and measured the proposed optimization system indicator in the batch process. Business Process Modeling and Notation (BPMN 2.0) was built to describe the tasks of SO workflow in collaboration with NCO as an abstraction for the conceptual phase. Next, Stateflow modeling was deployed to simulate the three states of gradient-based adaptive control combined with support vector machine (SVM) classification and Arduino microcontroller for implementation. Findings This new method shows that the real-time optimization responsiveness of control increased product yield up to 13 percent, lower error measurement with percentage error 1.11 percent, reduced the process duration up to 22 minutes, with an effective range of stirrer rotation set between 300 and 400 rpm and final temperature between 200 and 210°C which was more efficient, as it consumed less energy. Research limitations/implications In this research the authors just have an experiment for the esterification process using glycerol, but as a development concept of RTO, it would be possible to apply for another chemical reaction or system. Practical implications This research introduces new development of an RTO approach to optimal control and as such marks the starting point for more research of its properties. As the methodology is generic, it can be applied to different optimization problems for a batch system in chemical industries. Originality/value The paper presented is original as it presents the first application of adaptive selection based on the gradient value of mid-IR sensor data, applied to the real-time determining control state by classification with the SVM algorithm for esterification process control to increase the efficiency.

A HZD-based Framework for the Real-time, Optimization-free Enforcement of Gait Feasibility Constraints

2021 ◽  
Author(s):  
Pravin Dangol ◽  
Andrew Lessieur ◽  
Eric Sihite ◽  
Alireza Ramezani
Keyword(s):  
Real Time ◽  
The Real ◽  
Time Optimization ◽  
Feasibility Constraints ◽  
Real Time Optimization

Predictive Energy Management of Plug-in Hybrid Electric Vehicles by Real-time Optimization and Data-driven Calibration

2021 ◽  
pp. 1-1
Author(s):  
Ningyuan Guo ◽  
Xudong Zhang ◽  
Yuan Zou ◽  
Guangze Du ◽  
Chao Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Data Driven ◽  
Time Optimization ◽  
Hybrid Electric ◽  
Real Time Optimization

Efficient real time optimization using a data-driven piecewise affine model

2019 ◽  
Vol 125 ◽  
pp. 545-557 ◽  
Author(s):  
Yu Yang ◽  
Jasper Kelly
Keyword(s):  
Real Time ◽  
Data Driven ◽  
Piecewise Affine ◽  
Affine Model ◽  
Time Optimization ◽  
Real Time Optimization

scholarly journals Experimental Real Time Optimization of a Continuous Membrane Separation Plant

2020 ◽  
Vol 53 (2) ◽  
pp. 11786-11793
Author(s):  
Anwesh Reddy Gottu Mukkula ◽  
Petra Valiauga ◽  
Miroslav Fikar ◽  
Radoslav Paulen ◽  
Sebastian Engell
Keyword(s):  
Real Time ◽  
Membrane Separation ◽  
Separation Plant ◽  
Time Optimization ◽  
Real Time Optimization

Reservoir Real-Time Optimization Operation Model Based on PSO

2012 ◽  
Vol 518-523 ◽  
pp. 3676-3679
Author(s):  
Yan Fang Diao ◽  
Jie Dong ◽  
Gang Wang ◽  
Na Yao ◽  
Fan Ye
Keyword(s):  
Real Time ◽  
Cyclic Process ◽  
Operation Model ◽  
The Real ◽  
Model Based ◽  
Time Optimization ◽  
Time Operation ◽  
Operation Procedure ◽  
Real Time Operation ◽  
Real Time Optimization

The reservoir real-time operation is a cyclic process of forcast-decision making-implementation, in which the key issue is to confirm discharges quickly and exactly. In order to solve this issue, a reservoir real-time optimization operation model based on Particle Swarm Optimization (PSO) is proposed and the real-time operation procedure is illustrated in this paper. Taking the flood hydrograph 19750729 of Huanren reservoir as an example, discharges calculated by the real-time optimization operation model are compared with those calculated by conventional operation. It could be seen that the running speed of the real-time optimization operation model is quickly, discharges are uniform and reduced under the safety of dam, and the benefit is improved. Therefore, this model is reasonable and feasible.

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