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A multi‐objective optimization approach to polygeneration energy systems design

A multi‐objective optimization approach to polygeneration energy systems design Polygeneration, typically involving co‐production of methanol and electricity, is a promising energy conversion technology which provides opportunities for high energy utilization efficiency and low/zero emissions. The optimal design of such a complex, large‐scale and highly nonlinear process system poses significant challenges. In this article, we present a multiobjective optimization model for the optimal design of a methanol/electricity polygeneration plant. Economic and environmental criteria are simultaneously optimized over a superstructure capturing a number of possible combinations of technologies and types of equipment. Aggregated models are considered, including a detailed methanol synthesis step with chemical kinetics and phase equilibrium considerations. The resulting model is formulated as a non‐convex mixed‐integer nonlinear programming problem. Global optimization and parallel computation techniques are employed to generate an optimal Pareto frontier. © 2009 American Institute of Chemical Engineers AIChE J, 2010 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aiche Journal Wiley

A multi‐objective optimization approach to polygeneration energy systems design

Aiche Journal , Volume 56 (5) – May 1, 2010

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References (11)

Publisher
Wiley
Copyright
Copyright © 2009 American Institute of Chemical Engineers (AIChE)
ISSN
0001-1541
eISSN
1547-5905
DOI
10.1002/aic.12058
Publisher site
See Article on Publisher Site

Abstract

Polygeneration, typically involving co‐production of methanol and electricity, is a promising energy conversion technology which provides opportunities for high energy utilization efficiency and low/zero emissions. The optimal design of such a complex, large‐scale and highly nonlinear process system poses significant challenges. In this article, we present a multiobjective optimization model for the optimal design of a methanol/electricity polygeneration plant. Economic and environmental criteria are simultaneously optimized over a superstructure capturing a number of possible combinations of technologies and types of equipment. Aggregated models are considered, including a detailed methanol synthesis step with chemical kinetics and phase equilibrium considerations. The resulting model is formulated as a non‐convex mixed‐integer nonlinear programming problem. Global optimization and parallel computation techniques are employed to generate an optimal Pareto frontier. © 2009 American Institute of Chemical Engineers AIChE J, 2010

Journal

Aiche JournalWiley

Published: May 1, 2010

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