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Journal article

Long-term predictive maintenance: A study of optimal cleaning of biomass boilers

Abstract:

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:
  • (Accepted manuscript, pdf, 384.9KB)
Publisher copy:
10.1016/j.enbuild.2017.05.055

Authors


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Institution:
University of Oxford
Division:
Societies, Other & Subsidiary Companies
Department:
Kellogg College
Oxford college:
Kellogg College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Grant:
FP7/2007-2013 project AMBI (Grant Agreement no. 324432
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:
1872-6178
ISSN:
0378-7788
Source identifiers:
697565
Keywords:
Pubs id:
pubs:697565
UUID:
uuid:41e51766-122f-43e7-b82b-7d4c38d9a7dd
Local pid:
pubs:697565
Deposit date:
2017-05-27

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