Process Optimization towards Sustainability Using Modified Particle Swarm Algorithm for a Multitude of Objectives

Process Development Division
2011 AIChE Annual Meeting
AIChE Annual Meeting
October 17, 2011 - 8:00pm

Extreme purpose of finding the most cost effective design solution with the least waste generation possible, considering environmental and social impacts in chemical engineering design problems justifies developing a systematic methodology for incorporating sustainability concerns into design and optimization of chemical process. This paper presents an applicable methodology for incorporating sustainability concerns into design and optimization of chemical process systematically. The methodology incorporates economic, social and environmental metrics into the chemical process optimization at the initial design stage, which is totally different with the traditional end-of-pipe treatment methods. First, a Particle Swarm Optimization algorithm was modified to enable handling a multitude of objectives imposed while considering sustainability concerns. In the multi-objective optimization problems, selecting the leaders (guides) in the swarm from a set of non-dominated solutions has a great impact on the convergence and diversity of the solution especially in handling high dimensional optimization problem. In this work a quite novel approach was developed to adopt PSO into multi-objective problems for efficient convergence to a diverse final solution set. Secondly, a SUSTAINABILITY EVALUATOR was linked to the optimization algorithm to quantitatively evaluate the objectives during optimization procedure. Thirdly, an efficient constrained handling strategy was incorporated to cope with the optimization problem highly constrained with equality and inequality constraints. Next, a multi-objective non-linear mathematical model was established by considering social, environmental and economic factors. Finally, the high non-linear model was solved by the modified Multi-Objective Particle Swarm Optimization, called MLMOPSO, algorithm. The proposed methodology was tested using the William Otto process.

Please Note: Members of the Process Development Division of AIChE are entitled to this content for free. Simply enter the 'promo code' PDCOD when you are checking out. Only AIChE members are entitled to join the Process Development Division. For more info please click here. click here
Professional Development Hours
0.5 PDHs
You will be able to download and print a certificate for these PDH credits once the content has been viewed. If you have already viewed this content, please click here to login.
Presenter(s): 

Would you like to access this content?

No problem. You just have to complete the following steps.

You have completed 0 of 2 steps.

  1. Log in

    You must be logged in to view this content. Log in now.

  2. Purchase Technical Presentation

    You must purchase this technical presentation using one of the options below.
    If you already purchased this content recently, please click here to refresh the system's record of ownerships.

Pricing

Credits 0.5 Use credits
List Price $25.00 Buy now
AIChE Members $15.00 Buy now
AIChE Undergraduate Student Members Free Free access
AIChE Graduate Student Members Free Free access