Modeling and optimization of biomass supply chains: A review and a critical look

Atashbar, Nasim Zandi; Labadie, Nacima; Prins, Christian

doi:10.1016/j.ifacol.2016.07.742

Cited by 81 publications

(50 citation statements)

References 62 publications

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“…A typical biomass supply chain is comprised of biomass harvesting and collection, pretreatment, storage, transport, and biomass conversion to bio-based products [13,14]. Atashbar et al [15] emphasize that, although the biomass Figure 1. Simplified illustration of palm biomass residue generated from one hectare of oil palm plantation aimed at palm oil production.…”

Section: Figurementioning

confidence: 99%

“…A typical biomass supply chain is comprised of biomass harvesting and collection, pretreatment, storage, transport, and biomass Energies 2019, 12, 420 3 of 24 conversion to bio-based products [13,14]. Atashbar et al [15] emphasize that, although the biomass supply chain has been studied extensively, few papers consider the optimization of the whole supply chain. Many studies have been conducted on single parts or a few parts of the logistic system.…”

Section: Figurementioning

confidence: 99%

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Opportunities to Optimize the Palm Oil Supply Chain in Sumatra, Indonesia

et al. 2019

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Significant amounts of biomass residues were generated in Indonesia. While untreated, residues emit greenhouse gases during the decomposition process. On the other hand, if efficiently utilized, these residues could be used to produce value-added products. This study investigates opportunities for harnessing the full potential of palm oil residues (i.e., empty fruit bunches, kernel shells, fiber, and mill effluent). As far as we are aware, the study is the first attempt to model the palm oil supply chain in a geographically explicit way while considering regional infrastructures in Sumatra Island, Indonesia. The BeWhere model, a mixed integer linear programming model for energy system optimization, was used to assess the costs and benefits of optimizing the regional palm oil supply chain. Different scenarios were investigated, considering current policies and new practices leading to improved yields in small-scale plantations and power grid connectivity. The study shows that a more efficient palm oil supply chain can pave the way for the country to meet up to 50% of its national bioenergy targets by 2025, and emission reductions of up to 40 MtCO 2 eq/year. As much as 50% of the electricity demand in Sumatra could be met if residues are efficiently used and grid connections are available. We recommend that system improvements be done in stages. In the short to medium term, improving the smallholder plantation yield is the most optimal way to maximize regional economic gains from the palm oil industry. In the medium to long term, improving electricity grid connection to palm oil mills could bring higher economic value as excess electricity is commercialized.

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Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Opportunities to Optimize the Palm Oil Supply Chain in Sumatra, Indonesia

et al. 2019

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“…Nevertheless, producing fuels from residual biomass presents major challenges regarding logistics due to its scattered production, low bulk density, and biodegradable nature, which lead to high collection, transport, and storage costs . Geographical information systems (GIS) are therefore useful tools to optimize biomass supply chains, as they can help to determine the best locations for conversion plants given the production sites and the existing transport infrastructure, minimizing logistics costs …”

Section: Introductionmentioning

confidence: 99%

Potential for biojet production from different biomass feedstocks and consolidated technological routes: a georeferencing and spatial analysis in Brazil

Carvalho

Silva

Szklo

et al. 2019

Biofuels Bioprod Bioref

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This paper assesses the biojet fuel production potential in Brazil. It evaluates feedstock availability by applying a georeferencing analysis, and determines the cost-effectiveness and greenhouse gas (GHG) emissions of selected production routes throughout their entire life cycle. This study identifies and locates Brazilian hotspots in terms of bioenergy availability and proximity to the main sites of fuel consumption and handling in the country. Findings show that the biomass availability for each crop in the hotspots would be sufficient to feed the biojet conversion plants proposed in this study. The biojet production potential in the hotspots would represent 48% of the country's jet fuel consumption in 2014, allowing the current certificated 50% blend with conventional fuel. The major biomass hotspots are close to airport and fuel logistic basis. However, even with a US$ 200.tCO -1 2 tax, hydroprocessed esters and fatty acids (HEFA) biojet is far from being competitive with petroleum-based jet fuel, whereas the Fischer-Tropsch synthetic paraffinic kerosene (FT-SPK) route may produce a competitive biojet. One possible pathway to incentivize biojet fuel production in Brazil would be, first, to implement carbon taxes that would allow the development of smaller plants. Then, with technological learning and larger production scales, it would be possible to reduce or even eliminate the carbon taxes.

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“…To achieve this target, the production of forest resources is expected to be increased for both material and energy uses [3] so that it is evident that the shift in end products by advanced technologies will also be a matter of time in Japan. The existing supply chain of woody biomass has to be modified to conquer the difficulties which induce a high cost of supply chain management [4] not only for local energy supply but also for the future society.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Simulation of Wood Chipping Operation for Bioenergy Based on Queuing Theory

Yoshida

Takata

2019

Forests

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Managing uncertainty is the way to secure stability of the supply chain. Uncertainty within chipping operation and chip transportation causes production loss. In the wood chip supply chain for bioenergy, operational uncertainty mainly appears in the moisture content of the material, chipping productivity, and the interval of truck arrival. This study theoretically quantified the loss in wood chip production by applying queuing theory and stochastic modelling. As well as the loss in production, the inefficiency was identified as the idling time of chipper and the queuing time of trucks. The aim of this study is to quantify the influence of three uncertainties on wood chip production. This study simulated the daily chip production using a mobile chipper by applying queuing theory and stochastic modelling of three uncertainties. The result was compared with the result of deterministic simulation which did not consider uncertainty. Uncertainty reduced the production by 14% to 27% compared to the production of deterministic simulation. There were trucks scheduled but not used. The cases using small trucks show the largest daily production amount, but their lead time was the longest. The large truck was sensitive to the moisture content of material because of the balance between payload and volumetric capacity. This simulation method can present a possible loss in production amount and enables to evaluate some ways for the loss compensation quantitatively such as outsourcing or storing buffer. For further development, the data about the interval of truck arrival should be collected from fields and analyzed. We must include the other uncertainties causing technical and operator delays.

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Modeling and optimization of biomass supply chains: A review and a critical look

Cited by 81 publications

References 62 publications

Opportunities to Optimize the Palm Oil Supply Chain in Sumatra, Indonesia

Opportunities to Optimize the Palm Oil Supply Chain in Sumatra, Indonesia

Potential for biojet production from different biomass feedstocks and consolidated technological routes: a georeferencing and spatial analysis in Brazil

Uncertainty Simulation of Wood Chipping Operation for Bioenergy Based on Queuing Theory

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