scholarly journals Particle Methods for Data-Driven Simulation and Optimization

2012 ◽  
pp. 92-102 ◽  
Author(s):  
John R. Birge
Keyword(s):  
Data Driven ◽  
Particle Methods ◽  
Simulation And Optimization

Data-Driven Simulation and Optimization Approaches To Incorporate Production Variability in Sales and Operations Planning

2015 ◽  
Vol 54 (29) ◽  
pp. 7261-7272 ◽  
Author(s):  
Bruno A. Calfa ◽  
Anshul Agarwal ◽  
Scott J. Bury ◽  
John M. Wassick ◽  
Ignacio E. Grossmann
Keyword(s):  
Data Driven ◽  
Operations Planning ◽  
Simulation And Optimization ◽  
Production Variability

Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs

2016 ◽  
Vol 23 (2) ◽  
pp. 270-283 ◽  
Author(s):  
Simeon Agada ◽  
Sebastian Geiger ◽  
Ahmed Elsheikh ◽  
Sergey Oladyshkin
Keyword(s):  
Carbonate Reservoirs ◽  
Data Driven ◽  
Simulation And Optimization ◽  
Fractured Carbonate ◽  
Wag Injection

scholarly journals Data-driven Simulation and Optimization for Covid-19 Exit Strategies

2020 ◽  
Author(s):  
Salah Ghamizi ◽  
Renaud Rwemalika ◽  
Maxime Cordy ◽  
Lisa Veiber ◽  
Tegawendé F. Bissyandé ◽  
...  
Keyword(s):  
Data Driven ◽  
Simulation And Optimization ◽  
Exit Strategies

Physical modelling of industrial multistage centrifugal compressors for monitoring and simulation

2015 ◽  
Vol 229 (18) ◽  
pp. 3433-3448 ◽  
Author(s):  
Matteo Cicciotti ◽  
Dionysios P Xenos ◽  
Ala EF Bouaswaig ◽  
Nina F Thornhill ◽  
Ricardo F Martinez-Botas
Keyword(s):  
Physical Modelling ◽  
Industrial Applications ◽  
Data Driven ◽  
Variable Speed ◽  
One Dimensional ◽  
Simulation And Optimization ◽  
The Common ◽  
Using Data ◽  
Multistage Centrifugal Compressor

Currently, industrial applications to monitoring, simulation and optimization of compressors employ empirical models that are either data-driven or based on the manufacturer performance maps. This paper proposes the use of one-dimensional aerodynamic models for industrial applications such as simulation and monitoring. The physical model establishes causality relationships among input and output variables that are tuned to match the real compressor by using operation data. The application of the method is shown using data from an industrial multistage centrifugal compressor with interstage coolers and variable inlet guide vanes. This is a more complex but more relevant case study for process industry, as opposed to the single-stage variable speed compressors, which is the common example in the literature.

scholarly journals Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

2019 ◽  
Vol 116 (11) ◽  
pp. 2919-2930 ◽  
Author(s):  
Dongda Zhang ◽  
Ehecatl Antonio Del Rio‐Chanona ◽  
Panagiotis Petsagkourakis ◽  
Jonathan Wagner
Keyword(s):  
Data Driven ◽  
Simulation And Optimization ◽  
Online Simulation ◽  
Data Driven Modeling

scholarly journals Special Issue: “Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization”

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1543
Author(s):  
Dirk Deschrijver
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Data Driven ◽  
Special Issue ◽  
Gas Emissions ◽  
Simulation And Optimization ◽  
Modeling Simulation ◽  
Data Driven Modeling

In October 2014, EU leaders agreed upon three key targets for the year 2030: a reduction of at least 40% in greenhouse gas emissions, a saving of at least a 27% share for renewable energy, and at least a 27% improvement in energy efficiency [...]

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