Overview of sustainable biomass supply chain: from concept to modelling

Hong, Boon Hooi; How, Bing Shen; Lam, Hon Loong

doi:10.1007/s10098-016-1155-6

Cited by 57 publications

(31 citation statements)

References 159 publications

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“…Each pathway consists of interactive planning tasks and multiple decisions, such as the type and source of biomass feedstock, the quantity to be transported, and the conversion technology to be chosen in order to produce a certain output product (Schwaderer, ). Considering the multiplicity of conversion technologies and products, as well as biomass price elasticities, the use of linear models is highly recommended, as they are easy to apply, reduce computation time, and ensure optimality (De Meyer, Cattrysse, Rasinmäki, & van Orshoven, ; Hong, How, & Lam, ). The BIOLOCATE model is a mixed integer linear programming model (MILP), which models strategic decisions within biomass value chains.…”

Section: Methodsmentioning

confidence: 99%

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

et al. 2018

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Diminishing fossil carbon resources, global warming, and increasing material and energy needs urge for the rapid development of a bioeconomy. Biomass feedstock from agro‐industrial value chains provides opportunities for energy and material production, potentially leading to competition with traditional food and feed production. Simulation and optimization models can support the evaluation of biomass value chains and identify bioeconomy development paths, potentials, opportunities, and risks. This study presents the linkage of a farm model (EFEM) and a techno‐economic location optimization model (BIOLOCATE) for evaluating the straw‐to‐energy and the innovative straw‐to‐chemical value chains in the German federal state of Baden‐Wuerttemberg taking into account the spatially distributed and price‐sensitive nature of straw supply. The general results reveal the basic trade‐off between economies of scale of the energy production plants and the biorefineries on the one hand and the feedstock supply costs on the other hand. The results of the farm model highlight the competition for land between traditional agricultural biomass utilization such as food and feed and innovative biomass‐to‐energy and biomass‐to‐chemical value chains. Additionally, farm‐modeling scenarios illustrate the effect of farm specialization and regional differences on straw supply for biomass value chains as well as the effect of high straw prices on crop choices. The technological modeling results show that straw combustion could cover approximately 2% of Baden‐Wuerttemberg's gross electricity consumption and approximately 35% of the district heating consumption. The lignocellulose biorefinery location and size are affected by the price sensitivity of the straw supply and are only profitable for high output prices of organosolv lignin. The location optimization results illustrate that economic and political framework conditions affect the regional distribution of biomass straw conversion plants, thus favoring decentralized value chain structures in contrast to technological economies of scale.

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Section: Methodsmentioning

confidence: 99%

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

et al. 2018

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“…Accounting for spatial variability to a greater extent than is the case today is likely to be of great importance for ensuring the sustainable development of the growing bioeconomy. The ongoing transformation towards bio-based production, and the increasing use of biomass, is likely to lead to an economy where feedstock is produced, sourced, and processed in a variety of geographically diverse locations-even more so than in the case of current fossil supply chains [116,117]. Transformation towards a more distributed and regionalized, or even localized, economy entails an increasing degree of spatial variation across production systems that needs to be accounted for, in order to ensure that the sustainability of these systems is reliably assessed [9].…”

Section: Accounting For Spatial Variationmentioning

confidence: 99%

Bio-Based Production Systems: Why Environmental Assessment Needs to Include Supporting Systems

et al. 2019

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The transition to a bio-based economy is expected to deliver substantial environmental and economic benefits. However, bio-based production systems still come with significant environmental challenges, and there is a need for assessment methods that are adapted for the specific characteristics of these systems. In this review, we investigated how the environmental aspects of bio-based production systems differ from those of non-renewable systems, what requirements these differences impose when assessing their sustainability, and to what extent mainstream assessment methods fulfil these requirements. One unique characteristic of bio-based production is the need to maintain the regenerative capacity of the system. The necessary conditions for maintaining regenerative capacity are often provided through direct or indirect interactions between the production system and surrounding “supporting” systems. Thus, in the environmental assessment, impact categories affected in both the primary production system and the supporting systems need to be included, and impact models tailored to the specific context of the study should be used. Development in this direction requires efforts to broaden the system boundaries of conventional environmental assessments, to increase the level of spatial and temporal differentiation, and to improve our understanding of how local uniqueness and temporal dynamics affect the performance of the investigated system.

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“…Setting sustainable development goals as the departure point, Hong et al. (2016) have analysed the implementation principles and the main modelling approaches that would the design of sustainable biomass-based supply chains.…”

Section: Introductionmentioning

confidence: 99%

“…There have been further reviews on the relationship between investments and GHG emissions of the economies ( Sarkodie and Strezov, 2019 ), biomass supply chains ( Hong et al., 2016 ), the role of biorefineries in implementing Circular Economy measures ( Ubando et al., 2020 ), PSE challenges and opportunities ( Avraamidou et al., 2020 ). The latter can be related to the PSE-centred review of environmental footprinting and sustainability assessment ( Guillén-Gosálbez et al., 2019 ), as well as the use of Pinch Analysis in solving industrial, municipal and regional resource problems ( Klemeš et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Process assessment, integration and optimisation: The path towards cleaner production

Varbanov

Jia

Lim

2021

Journal of Cleaner Production

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This contribution starts from the broad perspective of the global material cycles, analysing the main resource and pollution issues world-wide from the viewpoint of the disturbances to these cycles caused by human activities. The issues are analysed in the light of the currently developing COVID-19 pandemic with the resulting behavioural and business pattern changes. It has been revealed in the analysis of previous reviews that there is a need for a more comprehensive analysis of the resource and environmental impact contributions by industrial and urban processes, as well as product supply chains. The review discusses the recent key developments in the areas of Process Integration and Optimisation, the assessment and reduction of process environmental impacts, waste management and integration, green technologies. That is accompanied by a review of the papers in the current Virtual Special Issue of the Journal of Cleaner Production which is dedicated to the extended articles developed on the basis of the papers presented at the 22nd Conference on Process Integration for Energy Saving and Pollution Reduction. The follow-up analysis reveals significant advances in the efficiency and emission cleaning effects of key processes, as well as water/wastewater management and energy storage. The further analysis of the developments identifies several key areas for further research and development – including increases of the safety and robustness of supply networks for products and services, increase of the resources use efficiency of core production and resource conversion processes, as well as the emphasis on improved product and process design for minimising product wastage.

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Overview of sustainable biomass supply chain: from concept to modelling

Cited by 57 publications

References 159 publications

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

Linking a farm model and a location optimization model for evaluating energetic and material straw valorization pathways—A case study in Baden‐Wuerttemberg

Bio-Based Production Systems: Why Environmental Assessment Needs to Include Supporting Systems

Process assessment, integration and optimisation: The path towards cleaner production

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