A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

Zamar, David S.; Gopaluni, Bhushan; Sokhansanj, Shahab; Newlands, Nathaniel K.

doi:10.1016/j.compchemeng.2016.11.015

Title: A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty

Journal Article · Mon Nov 21 00:00:00 EST 2016 · Computers and Chemical Engineering

DOI:https://doi.org/10.1016/j.compchemeng.2016.11.015· OSTI ID:1338560

Zamar, David S. ^[1]; Gopaluni, Bhushan ^[1]; Sokhansanj, Shahab ^[2]; Newlands, Nathaniel K. ^[3]

Univ. of British Columbia, Vancouver, BC (Canada). Dept. of Chemical and Biological Engineering
Univ. of British Columbia, Vancouver, BC (Canada). Dept. of Chemical and Biological Engineering; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Resource and Engineering Systems Group. Environmental Sciences Division
Summerland Research and Development Centre, BC (Canada)

Supply chain optimization for biomass-based power plants is an important research area due to greater emphasis on renewable power energy sources. Biomass supply chain design and operational planning models are often formulated and studied using deterministic mathematical models. While these models are beneficial for making decisions, their applicability to real world problems may be limited because they do not capture all the complexities in the supply chain, including uncertainties in the parameters. This study develops a statistically robust quantile-based approach for stochastic optimization under uncertainty, which builds upon scenario analysis. We apply and evaluate the performance of our approach to address the problem of analyzing competing biomass supply chains subject to stochastic demand and supply. Finally, the proposed approach was found to outperform alternative methods in terms of computational efficiency and ability to meet the stochastic problem requirements.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of British Columbia, Vancouver, BC (Canada); Summerland Research and Development Centre, BC (Canada)

Sponsoring Organization:: USDOE; Natural Sciences and Engineering Research Council of Canada (NSERC); Networks of Centres of Excellence of Canada (NCE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1338560

Journal Information:: Computers and Chemical Engineering, Vol. 97; ISSN 0098-1354

Country of Publication:: United States

Language:: English

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Cited by: 23 works

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An Overview of Current Models and Approaches to Biomass Supply Chain Design and Management Melis, Emanuela; Vincis, Andrea; Orrù, Pier F. Current Sustainable/Renewable Energy Reports, Vol. 5, Issue 2 https://doi.org/10.1007/s40518-018-0108-6	journal	June 2018
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