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Integration of Energy-cost Optimization and Production Scheduling Using Multiparametric Programming
KTH.
Vise andre og tillknytning
2016 (engelsk)Inngår i: Computer Aided Chemical Engineering, Elsevier, 2016, s. 559-564Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In energy-intensive industries, the traditional strategy is to schedule the production first. From the production schedule, the demand for energy is predicted and an optimization of the energy-supply cost is performed. The academic approach is to combine all the production and energy-cost related constraints into a single monolithic problem. In contrast, in this work a different approach is proposed. The energy-cost optimization problem is solved using Multiparametric Programming (mp), separately from the scheduling problem. Based on the solution from the mp-MILP (Mixed Integer Linear Programming) problem, several production scheduling problems with sensitivity information from the mp-MILP solution embedded can be solved in parallel in order to find the system-optimal solution. The approach is tested on realistic data instances of a stainless-steel process and obtains the optimal solution. However, the computational performance is strongly limited to very small instances due to limitations of the mp-MILP solvers.

sted, utgiver, år, opplag, sider
Elsevier, 2016. s. 559-564
Emneord [en]
energy cost optimization, Multiparametric Programming, production scheduling, stainless-steel
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-201999DOI: 10.1016/B978-0-444-63428-3.50098-9ISI: 000404104800094Scopus ID: 2-s2.0-84994275739ISBN: 9780444634283 (tryckt)OAI: oai:DiVA.org:kth-201999DiVA, id: diva2:1077037
Konferanse
26TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A, Portorož, Slovenia, from June 12th to June 15th, 2016.
Merknad

QC 20170224

Tilgjengelig fra: 2017-02-24 Laget: 2017-02-24 Sist oppdatert: 2022-06-27bibliografisk kontrollert

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