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Predicting the Impact of Red Winemaking Practices Using a Reactor Engineering Model

Konrad V. Miller, Anita Oberholster, David E. Block
Am J Enol Vitic. April 2019 70: 162-168; published ahead of print January 15, 2019 ; DOI: 10.5344/ajev.2018.18076
Konrad V. Miller
Department of Chemical Engineering, University of California, One Shields Avenue, Davis, CA 95616
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Anita Oberholster
Department of Viticulture and Enology, University of California, One Shields Avenue, Davis, CA 95616
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David E. Block
Department of Chemical Engineering, University of California, One Shields Avenue, Davis, CA 95616 Department of Viticulture and Enology, University of California, One Shields Avenue, Davis, CA 95616
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  • For correspondence: deblock@ucdavis.edu
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Abstract

Red wine fermentations have long eluded accurate simulation because of their inhomogeneous nature. In this work, a three-dimensional, time-dependent, reactor engineering model for jacketed red wine fermentations was utilized to explore the effect of fermentor volume (500; 50,000; and 500,000 L), aspect ratio (height:diameter of 1:1 and 3:1), temperature set point (15, 25, and 35°C), and initial yeast assimilable nitrogen (YAN) concentration (100, 225, and 350 mg/L) on fermentation dynamics. The model simulated N-limited, ethanol-inhibited, and temperature-dependent Monod fermentation kinetics; mass transfer of sugar, yeast, N, and ethanol; evaporative, convective, and conductive heat transfer; and the motion of the bulk fluid beneath the cap. Fermentor surface area-to-volume ratio, temperature set point, and initial YAN were all found to significantly affect fermentation performance in simulated fermentations. Heat transfer by conduction into the cap was nondimensionalized and analyzed as well. Finally, the formation of temperature gradients in the cap between cap-management cycles was visualized from simulations using the model.

  • cap management
  • fermentation dynamics
  • reactor engineering
  • red wine
  • simulation
  • yeast assimilable nitrogen (YAN)
  • Received September 2018.
  • Revision received December 2018.
  • Accepted December 2018.
  • ©2019 by the American Society for Enology and Viticulture
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Vol 70 Issue 2

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Predicting the Impact of Red Winemaking Practices Using a Reactor Engineering Model
Konrad V. Miller, Anita Oberholster, David E. Block
Am J Enol Vitic.  April 2019  70: 162-168;  published ahead of print January 15, 2019 ; DOI: 10.5344/ajev.2018.18076

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Predicting the Impact of Red Winemaking Practices Using a Reactor Engineering Model
Konrad V. Miller, Anita Oberholster, David E. Block
Am J Enol Vitic.  April 2019  70: 162-168;  published ahead of print January 15, 2019 ; DOI: 10.5344/ajev.2018.18076
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