Science Inventory

Modeling and Advanced Control for Sustainable Process Systems

Citation:

Lima, F., S. Li, G. Mirlekar, L. Sridhar, AND G. Ruiz-Mercado. Modeling and Advanced Control for Sustainable Process Systems . Chapter 5, Sustainability in the Design, Synthesis and Analysis of Chemical Engineering Processes, 1st Edition. ELSEVIER, AMSTERDAM, Holland, , 115-139, (2016).

Impact/Purpose:

This book chapter contribution demonstrates the application of novel process control strategies for sustainability by increasing material management, energy efficiency, and pollution prevention, as needed for SHC Sustainable Uses of Wastes and Materials Management.

Description:

This book chapter introduces a novel process systems engineering framework that integrates process control with sustainability assessment tools for the simultaneous evaluation and optimization of process operations. The implemented control strategy consists of a biologically-inspired, multi-agent-based method. The sustainability and performance assessment of process operating points is carried out using the U.S. E.P.A.’s GREENSCOPE assessment tool that provides scores for the selected economic, material management, environmental and energy indicators. The indicator results supply information on whether the implementation of the controller is moving the process towards a more sustainable operation. The effectiveness of the proposed framework is illustrated through a case study of a continuous bioethanol fermentation process whose dynamics are characterized by steady-state multiplicity and oscillatory behavior.

URLs/Downloads:

BOOK ACCESS   (PDF,NA pp, 105 KB,  about PDF)

Record Details:

Record Type: DOCUMENT (BOOK CHAPTER)
Product Published Date: 06/14/2016
Record Last Revised: 10/05/2016
OMB Category: Other
Record ID: 326350

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL RISK MANAGEMENT RESEARCH LABORATORY

SUSTAINABLE TECHNOLOGY DIVISION

GREEN CHEMISTRY BRANCH