By Topic

Models for the optimization and risk management of energy conversion networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kantor, J. ; Dept. of Chem. & Biomol. Eng., Univ. of Notre Dame, Notre Dame, IN, USA ; Mousaw, P.

Using first and second law principles from finite-time thermodynamics, this paper introduces a class of bilinear models suitable for the optimization and risk management of commodity energy conversion processes. The model is intended for use at a high level to predict the efficiency of energy conversion in campus scale utilities with complex energy requirements, fuel sources, and significant operational flexibility. The bilinear character of the model derives from the second law which results in a multiplicative coupling between entropy flux and temperature driving forces. The paper offers three main results: 1) Economic optimization of this model yields a non-convex bilinear optimization problem. 2) Special cases for optimal operation reduce to generalized eigenvalue problems, or more complex rank constraints that could be solved using numerical algebraic geometry. 3) A computational strategy based on a linear outer approximation coupled with a branch and bound methodology to reduce the search region.

Published in:

American Control Conference, 2009. ACC '09.

Date of Conference:

10-12 June 2009