Real-Time Optimization of the Drilling Process - Challenges in Industrialization

2009 ◽  
Author(s):  
Eric Cayeux ◽  
Erik Wolden Dvergsnes ◽  
Fionn Petter Iversen
Keyword(s):  
Real Time ◽  
Drilling Process ◽  
Time Optimization ◽  
Real Time Optimization

Drilltronics: An Integrated System for Real-Time Optimization of the Drilling Process

2004 ◽  
Author(s):  
Rolv Rommetveit ◽  
Knut S. Bjørkevoll ◽  
George W. Halsey ◽  
Hans Freddy Larsen ◽  
Antonino Merlo ◽  
...  
Keyword(s):  
Real Time ◽  
Integrated System ◽  
Drilling Process ◽  
Time Optimization ◽  
Real Time Optimization

Offshore Field Test of a New Integrated System for Real-Time Optimization of the Drilling Process

2008 ◽  
Author(s):  
Fionn Petter Iversen ◽  
Eric Cayeux ◽  
Erik Wolden Dvergsnes ◽  
Ragna Ervik ◽  
Martin Byrkjeland ◽  
...  
Keyword(s):  
Real Time ◽  
Field Test ◽  
Integrated System ◽  
Drilling Process ◽  
Time Optimization ◽  
Offshore Field ◽  
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.

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