A mixed-integer optimization approach for polygeneration energy systems design Academic Article

abstract

• A mixed-integer nonlinear programming (MINLP) model is developed for the design optimization of polygeneration energy systems. A suitable superstructure is introduced, based on partitioning a general polygeneration energy system into four major blocks, for each of which alternative available technologies and types of equipment are considered. A detailed case study, involving a coal-based polygeneration plant producing electricity and methanol, is presented to demonstrate the key features and applicability of the proposed approach. 2008 Elsevier Ltd. All rights reserved.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Liu, P., Pistikopoulos, E. N., & Li, Z.

citation count

• 77

complete list of authors

• Liu, Pei||Pistikopoulos, Efstratios N||Li, Zheng

publication date

• March 2009

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Design Optimization
• Mixed-integer Nonlinear Programming (minlp)
• Polygeneration

Digital Object Identifier (DOI)

• 10.1016/j.compchemeng.2008.08.005

start page

• 759

end page

• 768

volume

• 33

issue

• 3

URL

• http://dx.doi.org/10.1016/j.compchemeng.2008.08.005

user-defined tag

• 7 Affordable and Clean Energy