Supply chain modelling of forest fuel

Gunnarsson, Helene; Lundgren, Jan T.; Rönnqvist, Mikael

doi:10.1016/s0377-2217(03)00354-0

Cited by 156 publications

(60 citation statements)

References 2 publications

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“…Monthly plans for forwarding, storage and chipping were also determined. Different scenarios were tested based on storage restrictions, increased demand, chipping capacity and including new terminals [18].…”

Section: Introductionmentioning

confidence: 99%

Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland

et al. 2015

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Highlights A linear programming model that optimises wood biomass supply in Ireland. It uses MC to determine harvesting, chipping, storage and transportation costs. It analyses two supply chain scenarios and two truck configurations. Low wood MC increases supply cost due to longer transport distances. Optimal truck loads can be achieved by controlling wood MC. AbstractIn the coming years, Ireland will continue to face an increasing demand for wood biomass as a renewable source of energy. This will result in strained supply/demand scenarios, which will call for new planning and logistics systems capable of optimizing the efficient use of the biomass resources.In this study, a linear programming tool was developed which includes moisture content (MC) as a driving factor for the cost optimisation of two supply chains that use short wood and whole trees from thinnings as material feedstock. The tool was designed and implemented to analyse the impact of moisture content and truck configurations (5-axle and 6-axle trucks) on supply chain costs and spatial distribution of the supply materials. The results indicate that the inclusion of wood chips from whole trees reduces the costs of wood energy supply in comparison with only producing wood chips from short wood to satisfy the demand, with 9.8% and 10.2% cost reduction when transported with 5-axle and 6-axle trucks, respectively. Constraining the MC of the wood chips delivered to the power plant increases both transport and overall supply chain costs, due, firstly to an increase in the haulage distance and secondly, to the number of counties providing the biomass material. In terms of truck configuration, the use of 6-axle trucks resulted in a 14.8% reduction in the number of truckloads and a 12.3% reduction in haulage costs in comparison to the use of 5-axle trucks across the MC scenarios analysed.

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Section: Introductionmentioning

confidence: 99%

Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland

et al. 2015

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“…Mixed Integer Linear Programming (MILP) modelling was used by Gunnarsson et al (2004) with the aim of supplying from different forests and sawmills to various heating plants while minimising forwarding, chipping, storing and transportation costs. One of the decision variables included in the model was whether or not to acquire residues from forests and sawmills that were not owned by the supplying company.…”

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confidence: 99%

“…The authors developed a regional fuel wood supply network that included the optimal use of terminals by testing a number of different scenarios based on demand, upgrading of energy plants and inclusion of harvesting residues. Together with Eriksson & Bjoerheden (1989) and Gunnarsson et al (2004) the authors have concluded that direct supply (without the use of intermediate terminals) is the most efficient and economical way to supply fuels to heating and power plants. Although the use of terminals can improve the quality of the biomass by minimising the MC and therefore increasing the energy content, it does not pay off the cost of making them part of the supply chain (Kanzian et al 2009).…”

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Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

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et al. 2015

Energy

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Publication information Energy, 86 : 354-368Publisher Elsevier Item record/more information http://hdl.handle.net/10197/7007 Publisher's statementThis is the author's version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy (VOL 86, ISSUE 2015, (2015  Low wood moisture content increases supply cost due to longer transport distances and/or inclusion of more costly forest products. Optimal truck loads can be achieved by controlling wood moisture content.

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“…Although the chipping plant can achieve intensive chipping and improve efficiency, the construction of a chipping plant required heavy investment in terms of funds, equipment and labor. It was possible to increase the supply amount of chipped sandy shrub residue in the forestland (33% of the total supply), as shown in [32]. The price of a household shrub chipper was relatively high, so if the households have not specifically been engaged in raw material collection work, they would generally not be willing to buy a chipper which was why they would rather sell the non-chipped sandy shrub stubble residue to the chipping plant.…”

Section: Discussionmentioning

confidence: 99%

Trade-Offs between Economic and Environmental Optimization of the Forest Biomass Generation Supply Chain in Inner Mongolia, China

et al. 2017

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Abstract:The utilization of forest residue to produce forest biomass energy can mitigate CO 2 emissions and generate additional revenue for related eco-enterprises and farmers. In China, however, the benefit of this utilization is still in question because of high costs and CO 2 emissions in the entire supply chain. In this paper, a multi-objective linear programming model (MLP) is employed to analyze the trade-offs between the economic and environmental benefits of all nodes within the forest biomass power generation supply chain. The MLP model is tested in the Mao Wu Su biomass Thermoelectric Company. The optimization results show that (1) the total cost and CO 2 emissions are decreased by US$98.4 thousand and 60.6 thousand kg, respectively; 3750 thousand kg of waste-wood products is reduced and 3750 thousand kg of sandy shrub stubble residue is increased; (2) 64% of chipped sandy shrub residue is transported directly from the forestland to the power plant, 36% of non-chipped sandy shrub residue is transported from the forestland to the power plant via the chipping plant; (3) transportation and chipping play a significant role in the supply chain; and (4) the results of a sensitivity analysis show that the farmer's average transportation distance should be 84.13 km and unit chipping cost should be $0.01022 thousand for the optimization supply cost and CO 2 emissions. Finally, we suggest the following: (1) develop long-term cooperation with farmers; (2) buy chain-saws for regularly used farmers; (3) build several chipping plants in areas that are rich in sandy shrub.

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Supply chain modelling of forest fuel

Cited by 156 publications

References 2 publications

Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland

Controlling moisture content and truck configurations to model and optimise biomass supply chain logistics in Ireland

Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries

Trade-Offs between Economic and Environmental Optimization of the Forest Biomass Generation Supply Chain in Inner Mongolia, China

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