Utilizing stillage in the biorefinery: Economic, technological and energetic analysis

The goal of this study is to evaluate the economics and energy efficiency of different biorefinery configurations which include stillage valorization strategies for bioproducts synthesis. Specifically, a mixed-integer nonlinear programming (MINLP) model is developed to identify the optimal process n...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied energy 2019-03, Vol.241 (C)
Hauptverfasser: Ng, Rex T. L., Fasahati, Peyman, Huang, Kefeng, Maravelias, Christos T.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The goal of this study is to evaluate the economics and energy efficiency of different biorefinery configurations which include stillage valorization strategies for bioproducts synthesis. Specifically, a mixed-integer nonlinear programming (MINLP) model is developed to identify the optimal process network, and the impact of various parameters (e.g., bioproduct selling price, production cost, and energy requirement) on the performance of the biorefinery is investigated. Results show that the optimal strategy leading to a minimum ethanol selling price of ${$}$3.44/GGE includes γ-valerolactone deconstruction, glucose and xylose co-fermentation, heat and power generation, and does not include stillage valorization. Economic analyses indicate that the stillage valorization becomes economically viable at bioproduct selling prices above ${$}$2.0/kg for a base unit production cost and conversion coefficient of ${$}$2.0/kg bioproduct and 0.3 kg bioproduct/kg sugars, respectively. Further studies imply that under certain scenarios, the biorefinery does not generate sufficient energy if all stillage is utilized for bioproducts production. Thus, the utilization of stillage has to be optimized in order to achieve an energy self-sufficient biorefinery. Finally, analyses are performed to study how improvements in combinations of parameters can lead to lower cost and higher energy efficiency.
ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2019.03.020