scholarly journals Forest biomass supply chain optimization for a biorefinery aiming to produce high-value bio-based materials and chemicals from lignin and forestry residues: a review of literature

2017 ◽  
Vol 47 (3) ◽  
pp. 277-288 ◽  
Author(s):  
Luana Dessbesell ◽  
Chunbao (Charles) Xu ◽  
Reino Pulkki ◽  
Mathew Leitch ◽  
Nubla Mahmood
Keyword(s):  
Supply Chain ◽  
Technological Development ◽  
Forest Biomass ◽  
Value Added ◽  
Product Portfolio ◽  
Scale Production ◽  
Economic Returns ◽  
Supply Chain Optimization ◽  
Biomass Supply ◽  
Forestry Residues

Technological development has enabled the production of new value-added products from lignocellulosic residues such as lignin. This has allowed the forest industry to diversify its product portfolio and maximize the economic returns from feedstock, while simultaneously working towards sustainable alternatives to petroleum-based products. Although previous research has explored industrial-scale production opportunities, many challenges persist, including the cost of woody biomass and its supply chain reliability. While numerous studies have addressed these issues, their emphasis has traditionally been on bioenergy, with little focus on biochemical, biomaterials, and bioproducts. This review seeks to address this gap through a systematic study of the work recently reported by researchers. A lot of work has been published from United States and Canada with an emphasis on bioenergy production (84.8%), 4.6% of the work is focused on biomass to materials and chemicals, and 10.6% addressed both. Between 2012 and 2015, the majority of published research focused on biomass to materials and chemicals and both biomass to energy and biomass to materials and chemicals. This fact highlights recent interests in diversified biorefinery portfolios. However, further work concerning forest biomass supply chain optimization and new high-value bio-based materials and chemicals is necessary.

Supply chain optimization of forest biomass electricity and bioethanol coproduction

Energy ◽  
2017 ◽  
Vol 139 ◽  
pp. 630-645 ◽  
Author(s):  
Wan-Yu Liu ◽  
Chun-Cheng Lin ◽  
Tzu-Lei Yeh
Keyword(s):  
Supply Chain ◽  
Forest Biomass ◽  
Supply Chain Optimization

scholarly journals A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Tatiana M. Pinho ◽  
João Paulo Coelho ◽  
Germano Veiga ◽  
A. Paulo Moreira ◽  
José Boaventura-Cunha
Keyword(s):  
Supply Chain ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Fossil Fuels ◽  
Dynamic Models ◽  
Forest Biomass ◽  
Routing And Scheduling ◽  
Multilayer Model ◽  
Operational Level ◽  
Biomass Supply

Forest biomass has gained increasing interest in the recent years as a renewable source of energy in the context of climate changes and continuous rising of fossil fuels prices. However, due to its characteristics such as seasonality, low density, and high cost, the biomass supply chain needs further optimization to become more competitive in the current energetic market. In this sense and taking into consideration the fact that the transportation is the process that accounts for the higher parcel in the biomass supply chain costs, this work proposes a multilayer model predictive control based strategy to improve the performance of this process at the operational level. The proposed strategy aims to improve the overall supply chain performance by forecasting the system evolution using behavioural dynamic models. In this way, it is possible to react beforehand and avoid expensive impacts in the tasks execution. The methodology is composed of two interconnected levels that closely monitor the system state update, in the operational level, and delineate a new routing and scheduling plan in case of an expected deviation from the original one. By applying this approach to an experimental case study, the concept of the proposed methodology was proven. This novel strategy enables the online scheduling of the supply chain transport operation using a predictive approach.

A Biomass Supply Chain Optimization Framework With Linear Approximation of Biomass Yield Distributions for Improved Land Use

2019 ◽  
Author(s):  
Nathanial Cooper ◽  
Anna Panteli ◽  
Nilay Shah
Keyword(s):  
Supply Chain ◽  
Biomass Yield ◽  
Supply Chain Optimization ◽  
Optimization Framework ◽  
Biomass Supply ◽  
Yield Information ◽  
Supply Chain Optimisation ◽  
The Impact

Abstract Biomass and the bio-economy have strong potential to help shift dependency away from petroleum. Supply chain optimisation (SCO) has been used to help other industries and can be used to boost biomass industry viability. Biomass supply chain models frequently average the biomass yield of large tracts of land in their calculations. However, there can be large variation in the biomass yield within those tracts, losing useful information. This work presents a biomass SCO framework which approximates the available quality of land by piecewise linearly approximation of the biomass yield distribution, and incorporates this information into the optimisation. The linear estimates of the biomass yield distributions allow the SCO model to make more informed decisions about quantity and location of biomass growth operations, affecting all downstream decisions. A case study of mainland Great Britain has been examined using the framework to illustrate the impact of retaining biomass yield information in the optimisation, versus averaging the yield across tracts of land. The case study found that using biomass yield linear estimates reduced the overall land usage by 10%. Further, it improved biomass output, which increased the quantity of bio-products produced. All of this led to an increase in the overall profit.

scholarly journals CyberGIS-enabled decision support platform for biomass supply chain optimization

2015 ◽  
Vol 70 ◽  
pp. 138-148 ◽  
Author(s):  
Tao Lin ◽  
Shaowen Wang ◽  
Luis F. Rodríguez ◽  
Hao Hu ◽  
Yan Liu
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Optimization ◽  
Biomass Supply

scholarly journals Co-production of DHA and squalene by thraustochytrid from forest biomass

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Alok Patel ◽  
Stephan Liefeldt ◽  
Ulrika Rova ◽  
Paul Christakopoulos ◽  
Leonidas Matsakas
Keyword(s):  
Energy Use ◽  
Forest Biomass ◽  
Value Added ◽  
Scale Production ◽  
Omega 3 Fatty Acids ◽  
Total Lipids ◽  
Omega 3 ◽  
Cellular Compartment ◽  
Simultaneous Production ◽  
Value Added Products

AbstractOmega-3 fatty acids, and specifically docosahexaenoic acid (DHA), are important and essential nutrients for human health. Thraustochytrids are recognised as commercial strains for nutraceuticals production, they are group of marine oleaginous microorganisms capable of co-synthesis of DHA and other valuable carotenoids in their cellular compartment. The present study sought to optimize DHA and squalene production by the thraustochytrid Schizochytrium limacinum SR21. The highest biomass yield (0.46 g/gsubstrate) and lipid productivity (0.239 g/gsubstrate) were observed with 60 g/L of glucose, following cultivation in a bioreactor, with the DHA content to be 67.76% w/wtotal lipids. To reduce costs, cheaper feedstocks and simultaneous production of various value-added products for pharmaceutical or energy use should be attempted. To this end, we replaced pure glucose with organosolv-pretreated spruce hydrolysate and assessed the simultaneous production of DHA and squalene from S. limacinum SR21. After the 72 h of cultivation period in bioreactor, the maximum DHA content was observed to 66.72% w/wtotal lipids that was corresponded to 10.15 g/L of DHA concentration. While the highest DHA productivity was 3.38 ± 0.27 g/L/d and squalene reached a total of 933.72 ± 6.53 mg/L (16.34 ± 1.81 mg/gCDW). In summary, we show that the co-production of DHA and squalene makes S. limacinum SR21 appropriate strain for commercial-scale production of nutraceuticals.

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