Environmental impact assessment for ethanol production process using the waste reduction algorithm

Authors

  • María Isabel Montoya Ramírez Universidad Nacional de Colombia
  • Julián Andrés Quintero Suárez Universidad Nacional de Colombia
  • Oscar Julián Sánchez Toro Universidad de Caldas https://orcid.org/0000-0002-2372-0647
  • Carlos Ariel Cardona Alzate Universidad Nacional de Colombia https://orcid.org/0000-0002-0237-2313

DOI:

https://doi.org/10.17533/udea.redin.343247

Keywords:

fuel ethanol, WAR algorithm, environmental impact assessment

Abstract

The environmental performance of ethanol production from maize and sugar cane was evaluated. Process simulation was initially conducted using the commercial process simulator Aspen Plus. After mass and energy balances, analysis of the environmental impact was carried out using the waste algorithm reduction (WAR), which evaluates the environmental friendliness of each process. It was found that ethanol production from maize shows a lower potential environmental impact than that from sugar cane. The larger environmental impact of both processes occurs in the aquatic toxicity category, primarily due to high organic charge of the stillage produced.

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Author Biographies

María Isabel Montoya Ramírez, Universidad Nacional de Colombia

Grupo de Investigación en Procesos Químicos, Catalíticos y Biotecnológicos. Departamento de Ingeniería Química.

Julián Andrés Quintero Suárez, Universidad Nacional de Colombia

Grupo de Investigación en Procesos Químicos, Catalíticos y Biotecnológicos. Departamento de Ingeniería Química

Oscar Julián Sánchez Toro, Universidad de Caldas

Grupo de Investigación en Alimentos y Agroindustria

Carlos Ariel Cardona Alzate, Universidad Nacional de Colombia

Grupo de Investigación en Procesos Químicos, Catalíticos y Biotecnológicos. Departamento de Ingeniería Química.

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Published

2006-07-30

How to Cite

Montoya Ramírez, M. I. ., Quintero Suárez, J. A. ., Sánchez Toro, O. J. ., & Cardona Alzate, C. A. . (2006). Environmental impact assessment for ethanol production process using the waste reduction algorithm. Revista Facultad De Ingeniería Universidad De Antioquia, (36), 85–95. https://doi.org/10.17533/udea.redin.343247

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