Advertisement

Energy Efficiency Optimisation in Heat Treatment Process Design

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 397)

Abstract

Information and Communication Technology (ICT) tools to support design in terms of energy efficiency optimisation are beginning to come into the market, in particular for energy savings and management in buildings, however little has yet been developed for manufacturing. The work here described is related to the enhancement of existing manufacturing process design methodology and tools with a set of ICT components developed allowing process knowledge based design, simulation and optimisation in terms of energy efficiency. In particular the work described is focused on the heat treatment process of steel casting parts. This process design traditionally consists of a suitable predefined temperature-time curve selection based on personal experience and given customer requirements (material and mechanical properties), yet this curve can actually be optimised in terms of energy consumption and maintenance cost, while keeping required mechanical properties.

Keywords

Energy efficiency Process design optimisation Heat treatment 

References

  1. 1.
    Friden, H., Bergfors, L., Bjork, A., Mazharsolook, E.: Energy and LCC Optimised Design of Compressed Air Systems: A Mixed Integer Optimisation Approach with General Applicability. In: 2012 UKSim 14th International Conference on Computer Modelling and Simulation, pp. 491–496 (2012)Google Scholar
  2. 2.
    Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A.: JColibri Tutorial. Facultad de Informatica, Universidad Complutense de Madrid, Spain, http://gaia.fdi.ucm.es/files/people/juanan/jcolibri/downloads/tutorial.pdf
  3. 3.
    Díaz-Agudo, B., González-Calero, P.A., Recio-García, J.A.: Building CBR systems with Jcolibri. Science of Computer Programming 69(1-3), 68–75 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Baumeister, J., Reutelshoefer, J., Puppe, F.: KnowWE – Community based Knowledge Capture with Knowledge Wikis. In: K-CAP 2007: Proceedings of the 4th International Conference on Knowledge Capture, pp. 189–190 (2007)Google Scholar
  5. 5.
    Baumeister, J., Reutelshoefer, J., Puppe, F.: Web–Based Knowledge Engineering with KnowledgeWikis. In: Proc. of AAAI 2008 Spring Symposium on Symbiotic Relationships between Semantic Web and Knowledge Engineering, pp. 1–13. Stanford University, USA (2008)Google Scholar
  6. 6.
    Iešmantas, T., Alzbutas, R.: Designing of energy efficient system considering power consumption and reliability. In: 9th Annual Conference of Young Scientists on Energy Issues CYSENI 2012: International Conference, May 24-25, pp. 179–189. LEI, Kaunas (2012) ISSN 1822-7554Google Scholar
  7. 7.
  8. 8.

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  1. 1.Tecnalia Research&InnovationSpain
  2. 2.Fundiciones del EstandaSpain
  3. 3.Sisteplant S.L.Spain
  4. 4.IVL Swedish Environmental Institute Ltd.Sweden
  5. 5.Lietuvos Energetikos InstitutasItaly

Personalised recommendations