dc.contributor.author |
Ye, Xianming
|
|
dc.contributor.author |
Xia, Xiaohua
|
|
dc.contributor.author |
Zhang, Lijun
|
|
dc.contributor.author |
Zhu, Bing
|
|
dc.date.accessioned |
2015-02-02T06:40:14Z |
|
dc.date.available |
2015-02-02T06:40:14Z |
|
dc.date.issued |
2015-04 |
|
dc.description |
A preliminary version of this paper has been presented in the 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, 24–29 August 2014. |
en_ZA |
dc.description.abstract |
The energy savings achieved by implementing energy efficiency (EE) lighting retrofit projects are sometimes not sustainable and vanish rapidly given that lamp population decays as time goes by if without proper maintenance activities. Scope of maintenance activities refers to replacements of failed lamps due to nonrepairable lamp burnouts. Full replacements of all the failed lamps during each maintenance interval contribute to a tight project budget due to the expense for the lamp failure inspections, as well as the procurement and installation of new lamps. Since neither “no maintenance” nor “full maintenance” is preferable to the EE lighting project developers (PDs), we propose to design an optimal maintenance plan that optimises the number of replacements of the failed lamps, such that the EE lighting project achieves sustainable performance in terms of energy savings whereas the PDs obtain their maximum benefits in the sense of cost–benefit ratio. This optimal maintenance planning (OMP) problem is aptly formulated as an optimal control problem under control system framework, and solved by a model predictive control (MPC) approach. An optimal maintenance plan for an EE lighting retrofit project is designed as a case study to illustrate the effectiveness of the proposed control system approach. |
en_ZA |
dc.description.librarian |
hj2015 |
en_ZA |
dc.description.uri |
http://www.elsevier.com/locate/conengprac |
en_ZA |
dc.identifier.citation |
Ye, X, Xia, X, Zhang, L & Zhu, B 2015, 'Optimal maintenance planning for sustainable energy efficiency lighting retrofit projects by a control system approach', Control Engineering Practice, vol. 37, pp. 1-10. |
en_ZA |
dc.identifier.issn |
0967-0661 (print) |
|
dc.identifier.issn |
1873-6939 (online) |
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dc.identifier.other |
10.1016/j.conengprac.2014.12.014 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/43512 |
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dc.language.iso |
en |
en_ZA |
dc.publisher |
Elsevier |
en_ZA |
dc.rights |
© 2014 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Control Engineering Practice, vol. 37, pp. 1-10, 2015. doi 10.1016/j.conengprac.2014.12.014. |
en_ZA |
dc.subject |
Energy efficiency (EE) |
en_ZA |
dc.subject |
Optimal maintenance planning (OMP) |
en_ZA |
dc.subject |
Optimal control |
en_ZA |
dc.subject |
Lighting |
en_ZA |
dc.subject |
Maintenance planning |
en_ZA |
dc.subject |
Project developers (PDs) |
en_ZA |
dc.subject |
Model predictive control (MPC) |
en_ZA |
dc.title |
Optimal maintenance planning for sustainable energy efficiency lighting retrofit projects by a control system approach |
en_ZA |
dc.type |
Postprint Article |
en_ZA |