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Accurate prediction of the dew points of acidic combustion gases by using an artificial neural network model

  • Published:2011-02 Issue:2 Volume:52 Page:911-916
  • ISSN:0196-8904
  • Container-title:Energy Conversion and Management
  • language:en
  • Short-container-title:Energy Conversion and Management

Author:

ZareNezhad Bahman,Aminian Ali

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference17 articles.

1. Failure of a heat exchanger generated by an excess of SO2 and H2S in the sulfur recovery unit of a petroleum refinery;Lins;J Loss Prev Process Ind,2007

2. Increase in the boiler’s performance in terms of the acid dew point temperature;Blanco;Appl Therm Eng,2008

3. Evaluation of retrofitting a conventional natural gas fired boiler into a condensing boiler;Che;Energy Convers Manage,2004

4. A combined power cycle utilizing low-temperature waste heat and LNG cold energy;Shi;Energy Convers Manage,2009

5. Rockel MB, Bender R. Corrosion handbook. Society for chemical engineering and biotechnology. Frankfurt, Germany; 2008.

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