Sökning: id:"swepub:oai:DiVA.org:mdh-23055" >
Energy assessment o...
Energy assessment of Paper Machines
-
- Bhutani, Naveen (författare)
- ABB Corporate Research Center, Bangalore, India
-
- Lindberg, Carl-Fredrik, 1966- (författare)
- ABB AB Corporate Research, Sweden,MERO
-
- Starr, Kevin (författare)
- ABB Process Automation Services, United States
-
visa fler...
-
- Horton, Robert (författare)
- ABB Process Automation Services, United States
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2012
- 2012
- Engelska.
-
Ingår i: Energy Procedia. - : Elsevier. - 1876-6102. ; 14, s. 955-963
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- There is a large value in making Pulp and Paper mills more energy efficient. ABB has developed an energy assessment service where opportunities to save energy in the paper machine are identified. The energy assessment is done by quantifying energy flows, benchmarking energy users, data mining and steam sensitivity analysis and by experiments and additional measurements at the paper machine. Energy quantification helped in identifying main energy consumer, benchmarking was useful to assess the gap between operating performance and best performance whereas data mining and steam sensitivity analysis helped in studying the impact of key operating variables on performance of paper machines. After the assessment an action plan was presented to the mill for energy efficiency improvement together with a return on investment.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
Nyckelord
- paper machine
- steam
- energy assessment
- benchmarking
- Energy- and Environmental Engineering
- energi- och miljöteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas