Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models

2021 ◽  
pp. 117-140
Author(s):  
Siti S. Jamaian ◽  
Fathul H. Zulkifli ◽  
Kim S. Ling
Keyword(s):  
Kinetic Parameters ◽  
Dynamic Optimization ◽  
Growth Models ◽  
Optimization Approach ◽  
Microalgae Growth

Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations

2021 ◽  
Vol 149 ◽  
pp. 107292
Author(s):  
Cristian Pablos ◽  
Alejandro Merino ◽  
Luis Felipe Acebes ◽  
José Luis Pitarch ◽  
Lorenz T. Biegler
Keyword(s):  
Dynamic Optimization ◽  
Industrial Production ◽  
Electricity Price ◽  
Optimization Approach ◽  
Price Fluctuations

Dynamic Optimization of Steel Catenary Risers Based on Reliability Using Metamodel

2010 ◽  
Author(s):  
Wenqing Zheng ◽  
Hezhen Yang
Keyword(s):  
Dynamic Optimization ◽  
Computational Cost ◽  
Minimum Cost ◽  
Probabilistic Constraints ◽  
Optimization Approach ◽  
Element Analysis ◽  
Steel Catenary Riser ◽  
Reliability Based Design ◽  
Minimum Cost Design ◽  
Steel Catenary Risers

Reliability based design optimization (RBDO) of a steel catenary riser (SCR) using metamodel is investigated. The purpose of the optimization is to find the minimum-cost design subjecting to probabilistic constraints. To reduce the computational cost of the traditional double-loop RBDO, a single-loop RBDO approach is employed. The performance function is approximated by using metamodel to avoid time consuming finite element analysis during the dynamic optimization. The metamodel is constructed though design of experiments (DOE) sampling. In addition, the reliability assessment is carried out by Monte Carlo simulations. The result shows that the RBDO of SCR is a more rational optimization approach compared with traditional deterministic optimization, and using metamodel technique during the dynamic optimization process can significantly decrease the computational expense without sacrificing accuracy.

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