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A Mean Value Cross Decomposition Strategy for Demand-side Management of a Pulping Process
Technical University of Dortmund, Germany.
Linköping University.
ABB Corporate Research, Germany.
ABB Oy Industry Solutions, Finland.
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2015 (English)In: 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering / [ed] Krist V. Gernaey, Jakob K. Huusom and Gani Rafiqul, Elsevier , 2015, Vol. 37, 1931-1936 p.Chapter in book (Refereed)
Abstract [en]

Energy is becoming a critical resource for process industries as introduction of new policies drive changes in the energy supply systems. Energy availability and pricing is much more volatile. In this study, we propose a Mean Value Cross Decomposition approach to functionally separate production scheduling from energy-cost optimization. Such a decomposition makes it possible to exploit existing optimization solutions avoiding a need to create a new monolithic model. The proposed framework is applied to a continuous process of thermo-mechanical pulping using a discrete-time Resource-Task Network model. Example case study scenarios show that the approach gives optimal system-wide solutions while keeping the models separated.

Place, publisher, year, edition, pages
Elsevier , 2015. Vol. 37, 1931-1936 p.
Series
, Computer Aided Chemical Engineering, ISSN 1570-7946 ; Vol. 37
Keyword [en]
Scheduling, demand-side management, mean value cross decomposition
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-119621DOI: 10.1016/B978-0-444-63576-1.50016-9ISI: 000366893400016ISBN: 978-0-444-63429-0OAI: oai:DiVA.org:liu-119621DiVA: diva2:825109
Available from: 2015-06-23 Created: 2015-06-23 Last updated: 2016-01-22Bibliographically approved

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Ekström, Joakim
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Linköping UniversityCommunications and Transport SystemsFaculty of Science & Engineering
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