Optimal control and design of a cold store using dynamic optimization
Article first published online: 4 AUG 2008
Copyright © 2008 John Wiley & Sons, Ltd.
Optimal Control Applications and Methods
Volume 30, Issue 1, pages 61–75, January/February 2009
How to Cite
Lukasse, L., Broeze, J. and van der Sluis, S. (2009), Optimal control and design of a cold store using dynamic optimization. Optim. Control Appl. Meth., 30: 61–75. doi: 10.1002/oca.857
- Issue published online: 29 JAN 2009
- Article first published online: 4 AUG 2008
- Manuscript Accepted: 25 MAY 2008
- Manuscript Revised: 23 MAY 2008
- Manuscript Received: 12 APR 2007
- Ministry of Economic Affairs
- calculus of variations;
- design parameters;
The design of controlled processes is a combined optimal control and design problem (OCDP). Literature on solving large OCDPs is rare. This paper presents an algorithm for solving large OCDPs. For this algorithm system dynamics, objective function and their first-order derivatives must be continuous in the state, control and design parameters. The algorithm is successfully applied to the combined control and design problem of a cold store with three possible refrigeration technologies: mechanical refrigeration, ventilation and evaporative cooling. As a result, insight into cost effectiveness of the refrigeration technologies is generated. It is concluded that for this cold store in the Netherlands evaporative cooling is too expensive. Ventilation is economically viable if the cold store is to be used in January only. In case the cold store is to be operated all year then it is most economical to rely on mechanical refrigeration only and use the overcapacity during most part of the year to shift refrigeration to low-tariff hours. Copyright © 2008 John Wiley & Sons, Ltd.