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Air flow modeling in deep wells: application to mining ventilation
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2008 (English)In: 2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2, IEEE , 2008, 845-850 p.Conference paper (Refereed)
Abstract [en]

In this paper, we present a novel air flow modeling strategy for deep wells that is suitable for real-time control of large-scale systems. We consider the mining ventilation control application, where specifically designed models are crucial for new automation strategies based on global system control and energy consumption optimization. Two different levels of complexity are proposed. Starting from a general model based on Navier-Stokes equations, we derive a 0-D, Bond Graph model. This model is used to set a real-time simulator for the mine aerology problem.

Place, publisher, year, edition, pages
IEEE , 2008. 845-850 p.
Keyword [en]
Automatic control, Bonding, Control system synthesis, Design automation, Design optimization, Energy consumption, Large-scale systems, Navier-Stokes equations, Real time systems, Ventilation
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-80713DOI: 10.1109/COASE.2008.4626444ISI: 000261320400140ScopusID: 2-s2.0-54949123497ISBN: 978-1-4244-2022-3OAI: diva2:496664
IEEE CASE, Washington DC, USA, Arlington, VA, AUG 23-26, 2008
© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120220Available from: 2012-02-20 Created: 2012-02-10 Last updated: 2012-02-20Bibliographically approved

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Johansson, Karl Henrik
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