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  5. <title>UTas ePrints - Real time model for oxides of nitrogen emissions from a slow speed marine diesel</title>
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  13. <meta content="Goldsworthy, L" name="eprints.creators_name" />
  14. <meta content="L.Goldsworthy@utas.edu.au" name="eprints.creators_id" />
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  19. <meta content="Real time model for oxides of
  20. nitrogen emissions from a slow speed
  21. marine diesel" name="eprints.title" />
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  23. <meta content="290000" name="eprints.subjects" />
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  26. <meta content="A thermodynamic model is presented for predicting oxides of nitrogen (NOx) emissions
  27. from slow speed marine diesel engines. The model is zero-dimensional, uses chemical
  28. kinetics for NOx formation in multiple burnt gas zones, and runs in real time on a standard
  29. PC. The mean fuel/air mixture strength at which NOx forms and the rate of dilution of the
  30. burnt gas by unburnt air, are adjustable. Two MAN B&amp;W IMO NOx-compliant slow speed
  31. diesels are modelled. Effects such as variations in fuel spray interaction with load are
  32. accounted for in the calibration of the model. The effect of dilution rate and equivalence
  33. ratio on NOx formation is studied. It is shown that, under certain conditions, there is a
  34. critical burnt gas dilution rate which maximises NOx. The model responds adequately to
  35. changes in engine load and to NOx control measures such as water injection, injection
  36. timing retard, exhaust gas recirculation and humidification." name="eprints.abstract" />
  37. <meta content="2003" name="eprints.date" />
  38. <meta content="published" name="eprints.date_type" />
  39. <meta content="Journal of Marine Engineering and Technology" name="eprints.publication" />
  40. <meta content="A2" name="eprints.volume" />
  41. <meta content="3-12" name="eprints.pagerange" />
  42. <meta content="TRUE" name="eprints.refereed" />
  43. <meta content="1476-1548" name="eprints.issn" />
  44. <meta content="http://www.imarest.org/proceedings/detail.asp?ID=12" name="eprints.official_url" />
  45. <meta content="1. Corbett, JJ, and Fischbeck, P. Emissions from Ships. Science.
  46. Vol 298: pp 823-824 (1997).
  47. 2. IMO, Protocol of 1997 to amend Marpol 73/78, Annex VI of
  48. Marpol 73/78 Regulations for the Prevention of Air Pollution from Ships
  49. and NOx Technical Code. (1998).
  50. 3. Goldsworthy, L, Jung Byung-Gun, Niekamp, P, and Earl,
  51. S. Development of the Australian Maritime College PC Based Machinery
  52. Space Simulator. MARTECH 2002 Conference Proceedings,
  53. Singapore (2002).
  54. 4. Dec, JE, and Canaan, RE. PLIF Imaging of NO Formation in
  55. a DI Diesel Engine. SAE 980147 (1998).
  56. 5. Zabetta, EC, and Kilpinen, P. Improved NOx Submodel for
  57. In-Cylinder CFD Simulation of Low- and Medium- Speed Compression
  58. Ignition Engines. Energy and Fuels. Vol 15(6): pp 1425-1433
  59. (2001).
  60. 6. Paro, D. Development of the Sustainable Engine. 23rd CIMAC
  61. Congress (2001).
  62. 7. Tree, DR, and Cooley, WB. A Comparison and Model of
  63. NOx Formation for Diesel Fuel and Diethyl Ether. SAE 2001-01-
  64. 0654 (2001).
  65. 8. Ahmad T, and Plee, L.Application of Flame Temperature
  66. Correlations to Emissions from a Direct-Injection Diesel Engine. SAE
  67. 831734 (1983).
  68. 9. Dodge, LG, Leone, DM, Naegeli, DW, Dickey, DW, and
  69. Swenson, KR. A PC Based Model for Predicting NOx Reductions in
  70. Diesel Engines. SAE 962060 (1996).
  71. 10. Goldsworthy LC. Simulating Primary Control Measures for
  72. Oxides of Nitrogen Emissions in a Slow Speed Marine Diesel Engine.
  73. Sea Australia 2000 Conference Proceedings, Sydney (2000).
  74. 11. Easley, WE, Mellor, AM, and Plee, SL. NO Formation and
  75. Decomposition Models for DI Diesel Engines. SAE. Vol 582 (2001).
  76. 12. Lavoie, GA, Heywood, JB, and Keck, JC. Experimental and
  77. Theoretical Study of Nitric Oxide Formation in Internal Combustion
  78. Engines. Combustion Science and Technology. Vol 1: pp 313-326
  79. (1970).
  80. 13. Heider, G, Woschni, G, and Zeilinger, K. Two-Zone Calculation
  81. Model for the Prediction of NO Emissions from Diesel Engines.
  82. MTZ. Vol 59(11): pp 770-775 (1998).
  83. 14. Weisser, G. Modelling of Combustion and Nitric Oxide Formation
  84. for Medium-Speed DI Diesel Engines: A Comparison of Zeroand
  85. Three-Dimensional Approaches, Swiss Federal Institute of Technology:
  86. Zurich (2001).
  87. 15. Strehlow, RA. Combustion Fundamentals. McGraw-Hill
  88. (1984).
  89. 16. Rodatz, P, Weisser, G, and Tanner, FX. Assessment of CFD
  90. Methods for Large Diesel engines with a Common Rail Injection System.
  91. SAE 2000-01-0948 (2000).
  92. 17. Goldsworthy, L. Reduced Kinetics Schemes for Calculation
  93. of Oxides of Nitrogen Emissions from a Slow Speed Marine Diesel.
  94. Energy and Fuels (American Chemical Society). submitted
  95. (2002).
  96. 18. Zabetta, EC, Kilpinen, P, Hupa, M, Stahl, K, Leppalahati,
  97. J, and Nieminen, J. Kinetic Modelling Study on the Potential of Staged
  98. Combustion in Gas Turbines for the Reduction of Nitrogen Oxide
  99. Emissions from Biomass IGCC Plants. Energy and Fuels. Vol 14: pp
  100. 751-761 (2000).
  101. 19. Miller, JA, and Bowman, CT. Mechanism and Modelling of
  102. Nitrogen Chemistry in Combustion. Prog. Energy Combust. Sci. Vol
  103. 15: pp 287-338 (1989).
  104. 20. Easley,WE, Mellor, AM, and Plee, SL. NO Formation and
  105. Decomposition Models for DI Diesel Engines. SAE 2000-01-0582
  106. (2000).
  107. 21. Holtbecker, R, and Geist, M. Emissions Technology, Sulzer
  108. RTA Series, Exhaust Emissions Reduction Technology for Sulzer Marine
  109. Diesel Engines, Wartsila NSD (1998).
  110. 22. Bazari, Z. A DI Diesel Combustion and Emission Predictive
  111. Capability for Use in Cycle Simulation. SAE 920462 (1992).
  112. 23.MAN B&amp;W, Super-VIT Fuel Pumps: Adjustment and Maintenance,
  113. (1987).
  114. 24. Tanner, FX, Brunner, M, and Weisser, G. A Computational
  115. Investigation of Water Injection Strategies for Nitric Oxide reduction in
  116. Large-Bore DI Diesel Engines. SAE 2001-01-1069 (2001).
  117. 25. Borman, GL, and Ragland, KW. Combustion Engineering.
  118. WCB/McGraw-Hill (1998).
  119. 26. Henningsen, S. MAN B&amp;W, Pers Comm, MAN B&amp;W
  120. (2002)." name="eprints.referencetext" />
  121. <meta content="Goldsworthy, L (2003) Real time model for oxides of nitrogen emissions from a slow speed marine diesel. Journal of Marine Engineering and Technology, A2 . pp. 3-12. ISSN 1476-1548" name="eprints.citation" />
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  124. <meta content="Real time model for oxides of
  125. nitrogen emissions from a slow speed
  126. marine diesel" name="DC.title" />
  127. <meta content="Goldsworthy, L" name="DC.creator" />
  128. <meta content="290000 Engineering and Technology" name="DC.subject" />
  129. <meta content="291200 Maritime Engineering" name="DC.subject" />
  130. <meta content="A thermodynamic model is presented for predicting oxides of nitrogen (NOx) emissions
  131. from slow speed marine diesel engines. The model is zero-dimensional, uses chemical
  132. kinetics for NOx formation in multiple burnt gas zones, and runs in real time on a standard
  133. PC. The mean fuel/air mixture strength at which NOx forms and the rate of dilution of the
  134. burnt gas by unburnt air, are adjustable. Two MAN B&amp;W IMO NOx-compliant slow speed
  135. diesels are modelled. Effects such as variations in fuel spray interaction with load are
  136. accounted for in the calibration of the model. The effect of dilution rate and equivalence
  137. ratio on NOx formation is studied. It is shown that, under certain conditions, there is a
  138. critical burnt gas dilution rate which maximises NOx. The model responds adequately to
  139. changes in engine load and to NOx control measures such as water injection, injection
  140. timing retard, exhaust gas recirculation and humidification." name="DC.description" />
  141. <meta content="2003" name="DC.date" />
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  252. <h1 class="ep_tm_pagetitle">Real time model for oxides of nitrogen emissions from a slow speed marine diesel</h1>
  253. <p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Goldsworthy, L</span> (2003) <xhtml:em>Real time model for oxides of nitrogen emissions from a slow speed marine diesel.</xhtml:em> Journal of Marine Engineering and Technology, A2 . pp. 3-12. ISSN 1476-1548</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_3386' );" href="http://eprints.utas.edu.au/2578/1/47113_JMET_2003.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_3386' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_3386"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/2578/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/2578/1/47113_JMET_2003.pdf"><span class="ep_document_citation">PDF</span></a> - Requires a PDF viewer<br />411Kb</td></tr></table><p style="margin-bottom: 1em" class="not_ep_block">Official URL: <a href="http://www.imarest.org/proceedings/detail.asp?ID=12">http://www.imarest.org/proceedings/detail.asp?ID=12</a></p><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">A thermodynamic model is presented for predicting oxides of nitrogen (NOx) emissions&#13;
  254. from slow speed marine diesel engines. The model is zero-dimensional, uses chemical&#13;
  255. kinetics for NOx formation in multiple burnt gas zones, and runs in real time on a standard&#13;
  256. PC. The mean fuel/air mixture strength at which NOx forms and the rate of dilution of the&#13;
  257. burnt gas by unburnt air, are adjustable. Two MAN B&amp;W IMO NOx-compliant slow speed&#13;
  258. diesels are modelled. Effects such as variations in fuel spray interaction with load are&#13;
  259. accounted for in the calibration of the model. The effect of dilution rate and equivalence&#13;
  260. ratio on NOx formation is studied. It is shown that, under certain conditions, there is a&#13;
  261. critical burnt gas dilution rate which maximises NOx. The model responds adequately to&#13;
  262. changes in engine load and to NOx control measures such as water injection, injection&#13;
  263. timing retard, exhaust gas recirculation and humidification.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Article</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/290000.html">290000 Engineering and Technology</a><br /><a href="http://eprints.utas.edu.au/view/subjects/291200.html">290000 Engineering and Technology &gt; 291200 Maritime Engineering</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">2578</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Scholarly Publications Librarian</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">13 Dec 2007 08:12</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=2578;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&amp;eprintid=2578">item control page</a></p>
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