Check out our latest paper “A bi-objective robust model for minimization of costs and emissions of syngas supply chain” published in Computers and Chemical Engineering.
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Please cite this article as:
Sahar Ahmadvand, Taraneh Sowlati, A bi-objective robust model for minimization of costs and emissions of syngas supply chain,
Computers & Chemical Engineering, Volume 179, 2023, 108404, ISSN 0098-1354, https://doi.org/10.1016/j.compchemeng.2023.108404.
Abstract: Producing syngas from forest-based biomass could facilitate the transitions in energy and forest sectors by replacing natural gas; reducing emissions and wastes; and generating revenues. Optimizing the economic and environmental impacts of the biomass supply chains can help realizing these benefits. In this study, a bi-objective robust optimization model is developed for tactical supply chain planning of forest biomass gasification at a pulp mill. It optimizes the monthly flow, inventory, and preprocessing of biomass while minimizing annual costs and emissions. Robust optimization with an adjustable risk of constraint violation is used to model the uncertainties in supply and cost of biomass. The average cost and emissions of the robust Pareto-optimal solutions are 68% and 41% higher than those in the deterministic solutions, respectively. Although the cost and emissions and their trade-off in the deterministic case are more favorable, the robust solutions ensure no biomass shortage while avoiding over-conservatism.
Keywords: Forest-based biomass; Syngas; Robust optimization; GHG emissions; Bi-objective optimization; Gasification