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Reduction of Alkenes: Catalytic Hydrogenation02:13

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Alkenes undergo reduction by the addition of molecular hydrogen to give alkanes. Because the process generally occurs in the presence of a transition-metal catalyst, the reaction is called catalytic hydrogenation.
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Unlike the easy catalytic hydrogenation of an alkene double bond, hydrogenation of a benzene double bond under similar reaction conditions does not take place easily. For example, in the reduction of stilbene, the benzene ring remains unaffected while the alkene bond gets reduced. Hydrogenation of an alkene double bond is exothermic and a favorable process. In contrast, to hydrogenate the first unsaturated bond of benzene, an energy input is needed; that is, the process is endothermic. This is...
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Introduction
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A fuzzy logic urea dosage controller design for two-cell selective catalytic reduction systems.

Kun You1, Lijiang Wei2, Kai Jiang2

  • 1Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China; Mechanical and Electrical Engineering, Yantai Gold College, Shandong 265400, China.

ISA Transactions
|December 27, 2017
PubMed
Summary

This study presents a fuzzy logic urea dosage controller for two-cell selective catalytic reduction (SCR) systems in diesel engines. The controller effectively reduces nitrogen oxides (NOx) while minimizing ammonia slip, meeting stringent emission regulations.

Keywords:
Diesel engineFuzzy logic controllerSelective catalytic reduction (SCR)Two-cell systems

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Area of Science:

  • Automotive Engineering
  • Environmental Science
  • Control Systems

Background:

  • Diesel engines are crucial for heavy-duty transport but cause significant air pollution.
  • Increasing environmental awareness necessitates stricter diesel engine emission regulations.
  • Selective Catalytic Reduction (SCR) systems are vital for reducing nitrogen oxide (NOx) emissions.

Purpose of the Study:

  • To design a urea dosage controller for two-cell SCR systems.
  • To improve NOx reduction efficiency and minimize ammonia slip in diesel engines.
  • To address the control challenges of advanced SCR after-treatment systems.

Main Methods:

  • Development of a mathematical model for two-cell SCR systems.
  • Design of a fuzzy logic controller for urea dosage.
  • Simulation and experimental verification using a whole vehicle simulator.

Main Results:

  • The designed fuzzy logic controller achieved a high NOx reduction rate.
  • The controller successfully minimized tail-pipe ammonia slip.
  • Simulations confirmed the controller's effectiveness in meeting emission standards.

Conclusions:

  • The fuzzy logic urea dosage controller is effective for two-cell SCR systems.
  • This approach offers a viable solution for stringent diesel emission control.
  • The study validates the controller's performance through simulation and experimental data.