Logo des Repositoriums
 

Constrained production schedule optimization of output- normalized expenditures under uncertainty in shift duration and energy price forecasts

dc.contributor.authorDomaschk, Dawn
dc.contributor.authorPopescu, Florin
dc.contributor.editorCunningham, Douglas W.
dc.contributor.editorHofstedt, Petra
dc.contributor.editorMeer, Klaus
dc.contributor.editorSchmitt, Ingo
dc.date.accessioned2017-06-30T08:16:18Z
dc.date.available2017-06-30T08:16:18Z
dc.date.issued2015
dc.description.abstractVariability in day-ahead energy prices offers the potential for reductions in energy expenditures through flexible load planning in which production is shifted to periods of low predicted energy prices. In this paper we present a means of optimizing a production run for the following day and week given basic constraints on the start and end times of production shifts as well as the total production within a specified time frame (planning horizon). The general problem is a difficult, non-convex optimization problem over stochastic variables that can only be solved in its original form by global optimization and Monte Carlo simulation techniques. However, reasonable approximations to the original problems render it more tractable. By linearizing the energy price forecasts and the plant consumption profile, as well as discretizing the stochastic variables involved, we can reduce the planning problem to a mixed integer quadratic programming (MIQP) problem, with the customary linear bounds.en
dc.identifier.isbn978-3-88579-640-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2015
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-246
dc.titleConstrained production schedule optimization of output- normalized expenditures under uncertainty in shift duration and energy price forecastsen
dc.typeText/Conference Paper
gi.citation.endPage1129
gi.citation.publisherPlaceBonn
gi.citation.startPage1125
gi.conference.date28. September - 2. Oktober 2015
gi.conference.locationCottbus

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
1125.pdf
Größe:
173.14 KB
Format:
Adobe Portable Document Format