4.6 Article

Integrated Process Modeling and Product Design of Biodiesel Manufacturing

Journal

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Volume 49, Issue 3, Pages 1197-1213

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ie9010047

Keywords

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Funding

  1. Alliant Techsystems
  2. Aspen Technology
  3. China Petroleum and Chemical Corp.
  4. Formosa Petrochemical Corp.
  5. Milliken Chemical
  6. Novozymes Biologicals, Inc.

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Biodiesel, i.e., a Mixture of fatty acid methyl esters (FAMEs), produced From reacting triglyceride Willi methanol by alkali-catalyzed transesterification, has attracted Much attention as all important renewable energy soul-cc. To aid in the optimization of biodiesel manufacturing, a number of published Studies have applied commercial process simulators to quantify the effects of operating conditions on the process performance. Significantly, all of the reported simulation models are design models for new processes by fixing some level of equipment performance Such as the conversion of transesterification reaction. Most models assume the feed oil as pure triolein and the biodiesel fuel as Pure methyl oleate, and pay insufficient attention to the feed oil characterization, thermophysical property estimation, rigorous reaction kinetics, phase equilibrium for separation and purification units, and prediction of essential biodiesel fuel qualities. This paper presents first a comprehensive review of published literature pertaining to developing an integrated process modeling and product design of biodiesel manufacturing, and identifies those deficient areas for further development. This paper then presents new modeling tools and a methodology for the integrated process modeling and product design of an entire biodiesel manufacturing train (including transesterification reactor, methanol recovery and recycle, water wash, biodiesel recovery, glycerol separation, etc.). We demonstrate the methodology by simulating in integrated process to predict reactor and separator performance, stream conditions, and product qualities with different feedstocks. The results show that the methodology is effective not only for the rating and optimization of all existing biodiesel manufacturing, but also for the design of a new process to produce biodiesel with specified fuel properties.

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