Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry
2012 (English)In: Energy, ISSN 0360-5442, Vol. 44, no 1, 410-419 p.Article in journal (Refereed) Published
To face global competition, and also reduce environmental and climate impact, industry-wide changes are needed, especially regarding energy use, which is closely related to global warming. Energy efficiency is therefore an essential task for the future as it has a significant impact on both business profits and the environment. For the analysis of possible changes in industrial production processes, and to choose what changes should be made, various modelling tools can be used as a decision support. This paper uses two types of energy analysis tool: Discrete Event Simulation (DES) and Energy Systems Optimisation (ESO). The aim of this study is to describe how a DES and an ESO tool can be combined. A comprehensive five-step approach is proposed for reducing system costs and making a more robust production system. A case study representing a new investment in part of a Swedish iron foundry is also included to illustrate the method's use. The method described in this paper is based on the use of the DES program QUEST and the ESO tool reMIND. The method combination itself is generic, i.e. other similar programs can be used as well with some adjustments and adaptations.
The results from the case study show that when different boundary conditions are used the result obtained from the simulation tools is not optimum, in other words, the result shows only a feasible solution and not the best way to run the factory. It is therefore important to use the optimisation tool in such cases in order to obtain the optimum operating strategy. By using the optimisation tool a substantial amount of resources can be saved. The results also show that the combination of optimisation and simulation tools is useful to provide very detailed information about how the system works and to predict system behaviour as well as to minimise the system cost.
Place, publisher, year, edition, pages
2012. Vol. 44, no 1, 410-419 p.
Energy efficiency; Integration; Optimisation; Simulation
IdentifiersURN: urn:nbn:se:liu:diva-84636DOI: 10.1016/j.energy.2012.06.014ISI: 000308259300040OAI: oai:DiVA.org:liu-84636DiVA: diva2:560890
funding agencies|Swedish Energy Agency (SEA)||2012-10-162012-10-162012-11-05Bibliographically approved