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Creating Economic Incentives for Waste Disposal in Developing Countries Using the MixAlco Process.
Lonkar, Sagar; Fu, Zhihong; Wales, Melinda; Holtzapple, Mark.
Afiliação
  • Lonkar S; Artie McFerrin Department of Chemical Engineering, Texas A&M University, 1M2A Brown Engineering Building, 3122 TAMU, College Station, TX, 77843, USA. sklonkar@tamu.edu.
  • Fu Z; Artie McFerrin Department of Chemical Engineering, Texas A&M University, 1M2A Brown Engineering Building, 3122 TAMU, College Station, TX, 77843, USA.
  • Wales M; Artie McFerrin Department of Chemical Engineering, Texas A&M University, 1M2A Brown Engineering Building, 3122 TAMU, College Station, TX, 77843, USA.
  • Holtzapple M; Artie McFerrin Department of Chemical Engineering, Texas A&M University, 1M2A Brown Engineering Building, 3122 TAMU, College Station, TX, 77843, USA.
Appl Biochem Biotechnol ; 181(1): 294-308, 2017 Jan.
Article em En | MEDLINE | ID: mdl-27535410
In rapidly growing developing countries, waste disposal is a major challenge. Current waste disposal methods (e.g., landfills and sewage treatment) incur costs and often are not employed; thus, wastes accumulate in the environment. To address this challenge, it is advantageous to create economic incentives to collect and process wastes. One approach is the MixAlco process, which uses methane-inhibited anaerobic fermentation to convert waste biomass into carboxylate salts, which are chemically converted to industrial chemicals and fuels. In this paper, humanure (raw human feces and urine) is explored as a possible nutrient source for fermentation. This work focuses on fermenting municipal solid waste (energy source) and humanure (nutrient source) in batch fermentations. Using the Continuum Particle Distribution Model (CPDM), the performance of continuous countercurrent fermentation was predicted at different volatile solid loading rates (VSLR) and liquid residence times (LRT). For a four-stage countercurrent fermentation system at VSLR = 4 g/(L∙day), LRT = 30 days, and solids concentration = 100 g/L liquid, the model predicts carboxylic acid concentration of 68 g/L and conversion of 78.5 %.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Fermentação Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Appl Biochem Biotechnol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Eliminação de Resíduos / Fermentação Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Humans Idioma: En Revista: Appl Biochem Biotechnol Ano de publicação: 2017 Tipo de documento: Article