Sensitivity analysis and design optimization: Difference between revisions

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(Created page with "<br> Author: Anne Disabato, Tim Hanrahan, Brian Merkle Steward: David Chen, Fengqi You Date Presented: February 23, 2014 <br> <!-- Table of Contents --> __TOC__ =Introdu...")
 
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=Introduction=
=Introduction=
Optimization and sensitivity analysis are key aspects of successful process design.  Optimizing a process maximizes project value and plant performance, minimizes project cost, and facilitates the selection of the best components [1].


=Design Optimization=
=Design Optimization=

Revision as of 00:07, 24 February 2014


Author: Anne Disabato, Tim Hanrahan, Brian Merkle

Steward: David Chen, Fengqi You

Date Presented: February 23, 2014


Introduction

Optimization and sensitivity analysis are key aspects of successful process design. Optimizing a process maximizes project value and plant performance, minimizes project cost, and facilitates the selection of the best components [1].

Design Optimization

Defining the Optimization Problem and Objective Function

Trade-Offs

Parametric Optimization

Sub-optimizations

Optimization of a Single Decision Variable

Search Methods

Unrestricted Search

Three-Point Interval Search

Golden-Section Search

Quasi-Newton Method

Optimization of Two or More Decision Variables

Optimization in Industrial Practice

Optimization in Process Design

Sensitivity Analysis

Parameters to Study

Statistical Methods of Risk Analysis

Contingency Costs