Journal article
Long-term predictive maintenance: A study of optimal cleaning of biomass boilers
- Abstract:
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Combustion in a biomass-fired boiler causes build-up of soot, which reduces the heat transfer and decreases the efficiency of operation. In order to mitigate this natural occurrence, cleaning via soot blowing is an important maintenance action. The objective of this study is to develop long-term optimal maintenance strategies, which are model-based and specifically employ the dynamics of boiler efficiency and of anticipated heating demand, both of which are identified from empirical data. An ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 384.9KB)
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- Publisher copy:
- 10.1016/j.enbuild.2017.05.055
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Authors
Funding
+ European Research Council
More from this funder
Grant:
FP7/2007-2013 project AMBI (Grant Agreement no. 324432
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Energy and Buildings Journal website
- Volume:
- 150
- Pages:
- 111-117
- Publication date:
- 2017-05-26
- Acceptance date:
- 2017-05-21
- DOI:
- EISSN:
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1872-6178
- ISSN:
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0378-7788
- Source identifiers:
-
697565
Item Description
- Keywords:
- Pubs id:
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pubs:697565
- UUID:
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uuid:41e51766-122f-43e7-b82b-7d4c38d9a7dd
- Local pid:
- pubs:697565
- Deposit date:
- 2017-05-27
Terms of use
- Copyright holder:
- Elsevier BV
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Elsevier B.V. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.enbuild.2017.05.055
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