A macroscopic traffic model for real-time optimization of signalized urban areas

2003 ◽  
Author(s):  
A. Barisone ◽  
D. Giglio ◽  
R. Minciardi ◽  
R. Poggi
Keyword(s):  
Real Time ◽  
Urban Areas ◽  
Traffic Model ◽  
Time Optimization ◽  
Macroscopic Traffic Model ◽  
Real Time Optimization

A real-time optimization control method for coagulation process during drinking water treatment

2021 ◽  
Author(s):  
Dongsheng Wang ◽  
Junfei Wu ◽  
Lianqing Deng ◽  
Zhixuan Li ◽  
Yan Wang
Keyword(s):  
Drinking Water ◽  
Water Treatment ◽  
Real Time ◽  
Control Method ◽  
Drinking Water Treatment ◽  
Time Optimization ◽  
Coagulation Process ◽  
Optimization Control ◽  
Real Time Optimization

scholarly journals Experimental real-time optimization of a solid oxide fuel cell stack via constraint adaptation

Energy ◽  
2012 ◽  
Vol 39 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Gene A. Bunin ◽  
Zacharie Wuillemin ◽  
Grégory François ◽  
Arata Nakajo ◽  
Leonidas Tsikonis ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Real Time ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Time Optimization ◽  
Real Time Optimization

Real-Time Optimization of Wind Farm Energy Capture With Delay Compensated Nested-Loop Extremum Seeking Control

2017 ◽  
Author(s):  
Zhongyou Wu ◽  
Yaoyu Li
Keyword(s):  
Wind Turbine ◽  
Real Time ◽  
Wind Farm ◽  
Optimization Techniques ◽  
Extremum Seeking ◽  
Extremum Seeking Control ◽  
Energy Capture ◽  
Time Optimization ◽  
Real Time Optimization ◽  
Nested Loop

Real-time optimization of wind farm energy capture for below rated wind speed is critical for reducing the levelized cost of energy (LCOE). Performance of model based control and optimization techniques can be significantly limited by the difficulty in obtaining accurate turbine and farm models in field operation, as well as the prohibitive cost for accurate wind measurements. The Nested-Loop Extremum Seeking Control (NLESC), recently proposed as a model free method has demonstrated its great potential in wind farm energy capture optimization. However, a major limitation of previous work is the slow convergence, for which a primary cause is the low dither frequencies used by upwind turbines, primarily due to wake propagation delay through the turbine array. In this study, NLESC is enhanced with the predictor based delay compensation proposed by Oliveira and Krstic [1], which allows the use of higher dither frequencies for upwind turbines. The convergence speed can thus be improved, increasing the energy capture consequently. Simulation study is performed for a cascaded three-turbine array using the SimWindFarm platform. Simulation results show the improved energy capture of the wind turbine array under smooth and turbulent wind conditions, even up to 10% turbulence intensity. The impact of the proposed optimization methods on the fatigue loads of wind turbine structures is also evaluated.

scholarly journals Optimal Resource Allocation using Distributed Feedback-based Real-time Optimization

2021 ◽  
Vol 54 (3) ◽  
pp. 706-711
Author(s):  
Risvan Dirza ◽  
Sigurd Skogestad ◽  
Dinesh Krishnamoorthy
Keyword(s):  
Resource Allocation ◽  
Real Time ◽  
Distributed Feedback ◽  
Optimal Resource Allocation ◽  
Time Optimization ◽  
Optimal Resource ◽  
Real Time Optimization

scholarly journals Robust Multi-Scenario Dynamic Real-Time Optimization with Embedded Closed-Loop Model Predictive Control

2021 ◽  
Vol 54 (3) ◽  
pp. 481-486
Author(s):  
Lloyd MacKinnon ◽  
Christopher L.E. Swartz
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Closed Loop ◽  
Loop Model ◽  
Time Optimization ◽  
Real Time Optimization

REAL-TIME OPTIMIZATION OF CONTINUOUS PROCESSES VIA CONSTRAINTS ADAPTATION

2007 ◽  
Vol 40 (5) ◽  
pp. 45-50 ◽  
Author(s):  
A. Marchetti ◽  
B. Chachuat ◽  
D. Bonvin
Keyword(s):  
Real Time ◽  
Continuous Processes ◽  
Time Optimization ◽  
Real Time Optimization
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