scholarly journals Optimal Design Problems for Two-Phase Conducting Composites with Weakly Discontinuous Objective Functionals

2001 ◽  
Vol 27 (4) ◽  
pp. 683-704 ◽  
Author(s):  
Yury Grabovsky
Keyword(s):  
Optimal Design ◽  
Two Phase ◽  
Design Problems ◽  
Conducting Composites

Optimal Design of a Gas Turbine Cogeneration Plant by a Hierarchical Optimization Method With Parallel Computing

2018 ◽  
Author(s):  
Ryohei Yokoyama ◽  
Yuji Shinano ◽  
Yuki Wakayama ◽  
Tetsuya Wakui
Keyword(s):  
Optimal Design ◽  
Energy Supply ◽  
Optimization Method ◽  
Optimal Operation ◽  
Hierarchical Optimization ◽  
Cogeneration Plant ◽  
Design Problems ◽  
Computation Efficiency ◽  
Supply Systems ◽  
Energy Supply Systems

To attain the highest performance of energy supply systems, it is necessary to rationally determine types, capacities, and numbers of equipment in consideration of their operational strategies corresponding to seasonal and hourly variations in energy demands. Mixed-integer linear programming (MILP) approaches have been applied widely to such optimal design problems. The authors have proposed a MILP method utilizing the hierarchical relationship between design and operation variables to solve the optimal design problems of energy supply systems efficiently. In addition, some strategies to enhance the computation efficiency have been adopted: bounding procedures at both the levels and ordering of the optimal operation problems at the lower level. In this paper, as an additional strategy to enhance the computation efficiency, parallel computing is adopted to solve multiple optimal operation problems in parallel at the lower level. In addition, the effectiveness of each and combinations of the strategies adopted previously and newly is investigated. This hierarchical optimization method is applied to an optimal design of a gas turbine cogeneration plant, and its validity and effectiveness are clarified through some case studies.

scholarly journals Partitioning Techniques for Built-In Self-Test Design

VLSI Design ◽  
1994 ◽  
Vol 2 (3) ◽  
pp. 185-198
Author(s):  
Chien-In Henry Chen
Keyword(s):  
Optimal Design ◽  
Design Procedure ◽  
Computationally Efficient ◽  
Two Phase ◽  
Worst Case ◽  
Hardware Overhead ◽  
Phase Cluster ◽  
Unified Algorithm ◽  
Self Test ◽  
Built In Self Test

An efficient, unified algorithm, Advanced Two-Phase Cluster Partitioning, is proposed for automated synthesis of pseudo-exhaustive test generator for Built-In Self-Test (BIST) design. A prototype of the algorithm, Two-Phase Cluster Partitioning, has been proposed and the hierarchical design procedure is computationally efficient and produces test generation circuitry with low hardware overhead. However, in certain worst case, the algorithm may generate a sub-optimal design which requires more test patterns and/or hardware overhead. In order to generate a globally optimal design, further improvement of two-phase algorithm can be achieved by expanding the design space for the formation of linear sum so that the number of test signals required for pseudo-exhaustive testing can be reduced. We demonstrate the effectiveness of our approach by presenting detailed comparisons of our results against those that would be obtained by existing techniques.

scholarly journals A Modular Framework for the Modelling and Optimization of Advanced Chromatographic Processes

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 65 ◽  
Author(s):  
Johannes Schmölder ◽  
Malte Kaspereit
Keyword(s):  
Optimal Design ◽  
Case Studies ◽  
Design Problems ◽  
Column Model ◽  
Current Implementation ◽  
Systematic Development ◽  
Model Equations ◽  
Modelling And Optimization ◽  
Modelling Simulation ◽  
Modular Framework

A framework is introduced for the systematic development of preparative chromatographic processes. It is intended for the optimal design of conventional and advanced concepts that exploit strategies, such as recycling, side streams, bypasses, using single or multiple columns, and combinations thereof. The Python-based platform simplifies the implementation of new processes and design problems by decoupling design tasks into individual modules for modelling, simulation, assertion of cyclic stationarity, product fractionation, and optimization. Interfaces to external libraries provide flexibility regarding the choice of column model, solver, and optimizer. The current implementation, named CADET-Process, uses the software CADET for solving the model equations. The structure of the framework is discussed and its application for optimal design of existing and identification of new chromatographic operating concepts is demonstrated by case studies.

CFD Simulation of Two-Phase Flow in a Downhole Venturi Meter

2011 ◽  
Vol 130-134 ◽  
pp. 3644-3647
Author(s):  
Ding Feng ◽  
Si Huang ◽  
Yu Hui Guan ◽  
Wei Guo Ma
Keyword(s):  
Optimal Design ◽  
Pressure Drop ◽  
Flow Field ◽  
Cfd Simulation ◽  
Two Phase Flow ◽  
Flow Simulation ◽  
Phase Flow ◽  
Feed Flow Rate ◽  
Two Phase ◽  
Oil Water

This work performs an oil-water two-phase flow simulation in a downhole Venturi meter to investigate the flow field and pressure characteristics with different flow and oil-water ratios. The relation between the pressure drop and the feed flow rate in the flowmeter is investigated for its optimal design.

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