دورية أكاديمية
Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida.
| العنوان: | Simultaneous application of predictive model and least cost formulation can substantially benefit biorefineries outside Corn Belt in United States: A case study in Florida. |
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| المؤلفون: | Narani A; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Konda NVSNM; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Chen CS; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Tachea F; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Coffman P; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Gardner J; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Li C; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States., Ray AE; Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States., Hartley DS; Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID, United States., Simmons B; Biofuels and Biomaterials Science and Technology, Sandia National Laboratory, Livermore, CA, United States., Pray TR; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States., Tanjore D; Advanced Biofuels Process Demonstration Unit (AB-PDU), Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States. Electronic address: DTanjore@lbl.gov. |
| المصدر: | Bioresource technology [Bioresour Technol] 2019 Jan; Vol. 271, pp. 218-227. Date of Electronic Publication: 2018 Sep 21. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Barking, Essex, England : New York, N.Y. : Elsevier Applied Science ; Elsevier Science Pub. Co., 1991- |
| مواضيع طبية MeSH: | Zea mays*, Biomass ; Carbohydrate Metabolism ; Carbohydrates ; Costs and Cost Analysis ; Ethanol/economics ; Ethanol/metabolism ; Fermentation ; Florida |
| مستخلص: | Previously, a predictive model was developed to identify optimal blends of expensive high-quality and cheaper low-quality feedstocks for a given geographical location that can deliver high sugar yields. In this study, the optimal process conditions were tested for application at commercially-relevant higher biomass loadings. We observed lower sugar yields but 100% conversion to ethanol from a blend that contained only 20% high-quality feedstock. The impact of applying this predictive model simultaneously with least cost formulation model for a biorefinery location outside of the US Corn Belt in Lee County, Florida was investigated. A blend ratio of 0.30 EC, 0.45 SG, and 0.25 CS in Lee County was necessary to produce sugars at high yields and ethanol at a capacity of 50 MMGY. This work demonstrates utility in applying predictive model and LCF to reduce feedstock costs and supply chain risks while optimizing for product yields. (Copyright © 2018 Elsevier Ltd. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Biomass blends; Fermentation; Impact analysis; Least Cost Formulation (LCF); Predictive model |
| المشرفين على المادة: | 0 (Carbohydrates) 3K9958V90M (Ethanol) |
| تواريخ الأحداث: | Date Created: 20181002 Date Completed: 20190425 Latest Revision: 20190425 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1016/j.biortech.2018.09.103 |
| PMID: | 30273825 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-2976 |
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| DOI: | 10.1016/j.biortech.2018.09.103 |