Enabling Dynamic Real-Time Optimization under Uncertainty using Data-Driven Chance Constraints

Weigert, Joris; Hoffmann, Christian; Esche, Erik; Repke, Jens‐Uwe

doi:10.1016/b978-0-12-823377-1.50199-3

Cited by 3 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Simulations can be done to imitate the unforeseen incidents or even better, to see if changes can be made to further improve production. You are getting the latest data so you may make the most desired decision for the process in action (Weigert et al, 2020). In Figure 17, the differences between RTO and DRTO can be observed within the MPC (Model Predictive Control).…”

Section: Optimization Technology In-depthmentioning

confidence: 99%

Recent Advances in Technology for Produced Water in the Oil and Gas Industry

Walls,

Rogel,

Quaye

et al. 2024

Preprint

View full text Add to dashboard Cite

Recent technological advancements in produced water for the oil and gas industry have a long history that spreads over centuries and has roots with many mathematicians, physicists, engineers, and inventors. Working to understand the many ideas and questions has helped to bring the produced water technologies to where we are today. Fluid mechanics is an essential factor in the world of engineering because it comes with significant benefits when designing the necessary equipment to overcome the challenging endeavors of daily operations. Many of us believe certain ideas or products were developed within a specific year not fully understanding the idea or concept might be hundreds of years old. For example, when we think of fluid mechanics, we do not think of Archimedes' immersing King Hiero II crown in water. Archimedes did this to determine the displacement of the water as he knew gold was denser than silver. Archimedes was one of the pioneers who was part of the beginning of fluid mechanics. Another interesting fact is the first valve invented was in 1 AD by Heron of Alexandria. This valve can be described as the very first hydraulic valve. The evolution of technology over hundreds of years has made considerable innovations benefiting engineers all over the world. These innovations come in the form of PLCs, RTUs, PIDs, mathematical formulas, processing methods, and SCADA systems.

show abstract

Section: Optimization Technology In-depthmentioning

confidence: 99%

Recent Advances in Technology for Produced Water in the Oil and Gas Industry

Walls,

Rogel,

Quaye

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…MacKinnon et al [23] addressed a similar DRTO for nonlinear systems under a Lyapunov-stabilizing MPC. Additionally, there has been a growing interest in integrating DRTO with artificial intelligence and machine learning techniques to further enhance its capabilities [29,30].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Real-Time Optimization Strategy for the Tennessee Eastman Benchmark

Sahlodin,

Boozarjomehry,

Fakhroleslam

2023

Preprint

View full text Add to dashboard Cite

Conventional real-time optimization (RTO) algorithms provide the steady-state set points at which the process would operate economically. However, the process may suffer from severe transient losses going from the nominal steady state to the optimal one. This may also lead to off-specification production during set point transitions. In this paper, a dynamic RTO strategy accounting for the transient production cost is developed for the Tennessee Eastman process. The economic objective function is defined as the integral of sum of two components over a specified prediction horizon: (i) the transient operating cost and (ii) the cost accrued due to unsalability of the off-specification product during transitions. Furthermore, a predictive model is employed to estimate future process outputs and product quality required to evaluate the objective function and constraints. The results demonstrate significant economic savings (up to 28%) of the proposed strategy over a conventional RTO approach that considers steady-state economics only, especially when the process is subjected to sustained disturbances.

show abstract

“…In order to further improve the global operation performance of the processes, researchers proposed dynamic real-time optimization (DRTO) [14]. As its name implies, DRTO uses a dynamic model to replace the steady-state model used in the RTO layer, and this high-fidelity dynamic model gives DRTO the ability to optimize the transient operation performance [15,16].…”

Section: Introductionmentioning

confidence: 99%

Efficiency-Oriented MPC: Using Nested Structure to Realize Optimal Operation and Control

2022

Mathematics

View full text Add to dashboard Cite

Optimal operation and control, which can result in the global optimal operation performance of industrial processes, has been a hot topic in recent control strategy designs. However, existing control strategies, such as real-time optimization (RTO), dynamic real-time optimization (DRTO), and economic model predictive control (EMPC), have their own limitations, and they can only generate sub-optimal operation performance. In order to further improve online global operation performance, a new kind of control strategy named efficiency-oriented model predictive control (EfiMPC) is proposed in this paper. The aim of the EfiMPC is discussed first, and then, the ideal EfiMPC strategy with a nested structure is proposed, where the inner layer is the offline construction of an efficiency-oriented terminal region, and the outer layer is the direct optimization of the transient operation performance. This efficiency-oriented terminal region can guarantee a dynamic operation performance in the closed-loop perspective, and a better global operation performance can thus be obtained. A practical EfiMPC strategy, which replaces the offline construction of the efficiency-oriented terminal region with the online optimization of the average dynamic operation performance in the inner layer, is also proposed, and the recursive feasibility as well as the closed-loop stability of practical EfiMPC are discussed. Finally, a CSTR application was used to test the superiority of the proposed EfiMPC strategy, and the simulation results show that EfiMPC can obtain the best global operation performance compared with the other three control strategies; thus, the effectiveness of EfiMPC is demonstrated.

show abstract

Enabling Dynamic Real-Time Optimization under Uncertainty using Data-Driven Chance Constraints

Cited by 3 publications

References 5 publications

Recent Advances in Technology for Produced Water in the Oil and Gas Industry

Recent Advances in Technology for Produced Water in the Oil and Gas Industry

A Dynamic Real-Time Optimization Strategy for the Tennessee Eastman Benchmark

Efficiency-Oriented MPC: Using Nested Structure to Realize Optimal Operation and Control

Contact Info

Product

Resources

About