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Considering start-ups and shutdowns using an optimisation tool – Including a dairy production planning case study
Linköping University, Department of Management and Engineering, Energy Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Energy Systems. Linköping University, The Institute of Technology.
2013 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 107, 338-349 p.Article in journal (Refereed) Published
Abstract [en]

There are many different aspects a production-planning model has to be able to handle to make a model adequate for the purpose. One aspect is the handling of start-ups and shutdowns for different processes. The production plan is likely to be changed when considering, for example, a cost connected to the start-up and/or shutdown of processes. Besides costs associated with start-ups and shutdowns, waste may be produced during the start-up and shutdown. However, there is also the possibility of carrying out soft start-ups and shutdowns or limiting the number of start-ups and shutdowns. Thus, start-ups and shutdowns have to be handled in an adequate way in models to produce reliable and accurate results. In optimisation tools, this may be dealt with by introducing certain constraints, including integers. In this paper, the implementation of alternative ways to consider start-ups and shutdowns are presented. This is done in the energy system optimisation tool reMIND, which deals with Mixed Integer Linear Programming (MILP) problems. The purpose of this paper is to show four alternatives to consider start-ups and shutdowns in optimisation models. This involves, in total, almost 50 constraints. Also, a simple dairy case study is included in the paper to visualise the effect of implementing the different alternatives to shutdowns.

Place, publisher, year, edition, pages
Elsevier , 2013. Vol. 107, 338-349 p.
Keyword [en]
MILP, Optimisation, Production planning, Start-up, Shutdown
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-93954DOI: 10.1016/j.apenergy.2013.02.050ISI: 000318456700030OAI: diva2:628300

Funding Agencies|Swedish Energy Agency (SEA)||

Available from: 2013-06-13 Created: 2013-06-13 Last updated: 2013-06-14

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