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Plant-wide utility disturbance management in the process industry

Lindholm, Anna LU and Johnsson, Charlotta LU (2013) In Computers & Chemical Engineering 49. p.146-157
Abstract
Utilities, such as steam and cooling water, are often shared between production areas at large-scale sites. A disturbance in the supply of a utility is therefore likely to affect a large part of a site, and cause great loss of revenue. This study focuses on identifying disturbances in utilities and estimating the economical effects of such disturbances. A general method for reducing the loss of revenue due to utility disturbances, the utility disturbance management (UDM) method, is presented. Modeling of the effects of utility disturbances on production is needed to complete all steps of the method. In this paper, a simple on/off modeling approach is suggested to quickly obtain key performance indicators that may be used for decision... (More)
Utilities, such as steam and cooling water, are often shared between production areas at large-scale sites. A disturbance in the supply of a utility is therefore likely to affect a large part of a site, and cause great loss of revenue. This study focuses on identifying disturbances in utilities and estimating the economical effects of such disturbances. A general method for reducing the loss of revenue due to utility disturbances, the utility disturbance management (UDM) method, is presented. Modeling of the effects of utility disturbances on production is needed to complete all steps of the method. In this paper, a simple on/off modeling approach is suggested to quickly obtain key performance indicators that may be used for decision support for proactive disturbance management. A matrix representation of a site and its utilities is introduced to simplify the computations. The UDM method is applied to an industrial case at Perstorp, Sweden. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
availability, disturbance localization, plant-wide disturbances, process control, utilities, enterprise modeling
in
Computers & Chemical Engineering
volume
49
pages
146 - 157
publisher
Elsevier
external identifiers
  • wos:000313011200014
  • scopus:84869881579
ISSN
1873-4375
DOI
10.1016/j.compchemeng.2012.10.004
project
PICLU
language
English
LU publication?
yes
additional info
key=lindholm13cce project=upsetmanagement month=feb
id
7a2b5d6b-b034-4833-99a2-e5ab33f95146 (old id 2298073)
date added to LUP
2016-04-01 14:19:50
date last changed
2022-03-21 23:28:33
@article{7a2b5d6b-b034-4833-99a2-e5ab33f95146,
  abstract     = {{Utilities, such as steam and cooling water, are often shared between production areas at large-scale sites. A disturbance in the supply of a utility is therefore likely to affect a large part of a site, and cause great loss of revenue. This study focuses on identifying disturbances in utilities and estimating the economical effects of such disturbances. A general method for reducing the loss of revenue due to utility disturbances, the utility disturbance management (UDM) method, is presented. Modeling of the effects of utility disturbances on production is needed to complete all steps of the method. In this paper, a simple on/off modeling approach is suggested to quickly obtain key performance indicators that may be used for decision support for proactive disturbance management. A matrix representation of a site and its utilities is introduced to simplify the computations. The UDM method is applied to an industrial case at Perstorp, Sweden.}},
  author       = {{Lindholm, Anna and Johnsson, Charlotta}},
  issn         = {{1873-4375}},
  keywords     = {{availability; disturbance localization; plant-wide disturbances; process control; utilities; enterprise modeling}},
  language     = {{eng}},
  pages        = {{146--157}},
  publisher    = {{Elsevier}},
  series       = {{Computers & Chemical Engineering}},
  title        = {{Plant-wide utility disturbance management in the process industry}},
  url          = {{http://dx.doi.org/10.1016/j.compchemeng.2012.10.004}},
  doi          = {{10.1016/j.compchemeng.2012.10.004}},
  volume       = {{49}},
  year         = {{2013}},
}