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Title: Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

Journal Article · · Energies
DOI:https://doi.org/10.3390/en9030203· OSTI ID:1261402
 [1];  [2]; ORCiD logo [3]
  1. Univ. of Texas at San Antonio, San Antonio, TX (United States)
  2. Polytechnic Unive. of Tulancingo, Hidalgo (Mexico)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division

Logging residues, which refer to the unused portions of trees cut during logging, are important sources of biomass for the emerging biofuel industry and are critical feedstocks for the first-type biofuel facilities (e.g., corn-ethanol facilities). Logging residues are under-utilized sources of biomass for energetic purposes. To support the scaling-up of the bioenergy industry, it is essential to design cost-effective biofuel supply chains that not only minimize costs, but also consider the biomass quality characteristics. The biomass quality is heavily dependent upon the moisture and the ash contents. Ignoring the biomass quality characteristics and its intrinsic costs may yield substantial economic losses that will only be discovered after operations at a biorefinery have begun. Here this paper proposes a novel bioenergy supply chain network design model that minimizes operational costs and includes the biomass quality-related costs. The proposed model is unique in the sense that it supports decisions where quality is not unrealistically assumed to be perfect. The effectiveness of the proposed methodology is proven by assessing a case study in the state of Tennessee, USA. The results demonstrate that the ash and moisture contents of logging residues affect the performance of the supply chain (in monetary terms). Higher-than-target moisture and ash contents incur in additional quality-related costs. The quality-related costs in the optimal solution (with final ash content of 1% and final moisture of 50%) account for 27% of overall supply chain cost. In conclusion, based on the numeral experimentation, the total supply chain cost increased 7%, on average, for each additional percent in the final ash content.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office
Grant/Contract Number:
AC05-00OR22725; 4000142556; 2015-38422-24064
OSTI ID:
1261402
Journal Information:
Energies, Vol. 9, Issue 3; ISSN 1996-1073
Publisher:
MDPI AGCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science

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Cited By (3)

Circular supply chains and renewable chemical feedstocks: a network configuration analysis framework journal April 2018
A carbon footprint assessment of multi‐output biorefineries with international biomass supply: a case study for the Netherlands journal October 2019
Circular supply chains and renewable chemical feedstocks: A network configuration analysis framework text January 2017