Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the way forward

Zahraee, Seyed Mojib; Shiwakoti, Nirajan; Stasinopoulos, Peter

doi:10.1016/j.biombioe.2020.105777

Cited by 105 publications

(63 citation statements)

References 263 publications

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“…The economic evaluation model is applied to the different types of biomass available, considering the various difficulties related to the quality of biomass residues and the influence this generates in the calculation of recovery and transport costs [12,13]. The model, as expected, returns highest transport costs in correlation to greatest distances to travel.…”

Section: Resultsmentioning

confidence: 99%

Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

Sperandio

Acampora

Civitarese

et al. 2020

The 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Inter

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The delivery of biomass products from the production place to the point of final use is of fundamental importance within the constitution of energy chains based on biomass use as renewable energy source. In fact, transport can be one of the most economically expensive operations of the entire biomass energy production process. In this work, a geographic identification, through remote sensing and photo-interpretation, of the different biomass sources was used to estimate the potential available biomass for energy in a small-scale supply chain. The economic sustainability of transport costs was calculated for different types of biomass sources available close to a biomass power plant of a small-scale energy supply chain, in central Italy. The proposed analysis allows us to highlight and visualize on the map the areas of the territory characterized by greater economic sustainability in terms of lower transport costs of residual agroforestry biomass from the collection point to the final point identified with the biomass power plant. The higher transport cost was around € 40 Mg−1, compared to the lowest of € 12 Mg−1.

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Section: Resultsmentioning

confidence: 99%

Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

Sperandio

Acampora

Civitarese

et al. 2020

The 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Inter

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“…A systematic review of comprehensive solution tools to overcome the biomass supply chain (BSC) planning challenges is critical for both academic research and industry [Zahraee et al, 2020]. The combination of market incentives and policy mandates scenario, the production of biomass-based ethanol and electricity increases considerably and could potentially cause substantial changes in the land use practices [Liu et al, 2014].…”

Section: Systems For Planning the Energetic Value Of Animal Biomassmentioning

confidence: 99%

Database System for Estimating the Biogas Potential of Cattle and Swine Feces in Poland

Wawrzyniak¹,

Lewicki²,

Pochwatka³

et al. 2021

J. Ecol. Eng.

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Animal biomass is an important substrate in the anaerobic digestion process. The implementation of a waste technology for energy production, such as the production of biogas from animal waste, has been recognized in many countries as one of the best ways to achieve the Sustainable Energy Development Goals. Without a systematic review of resources and accurate estimation of available sources in terms of the amount of potential electricity, it is impossible to manage biomass rationally. The main aim of the article was to present a new tool for assessing the biomass of animal origin and estimating its potential energy through a computer database, which will be widely available in the end of 2020 to show results from the calculation using the database. This tool is configured to enter the data on the developed and undeveloped biomass resources in production of farm animals in rural areas in Poland. Calculations from the database show the biogas potential of swine and cattle manure and slurry in Poland, which is approximately 5.04 billion m 3 , with a 60% share of methane in biogas. It is the value of approximately 3.03 billion m 3 of methane. It is worth underlining that slurry and manure are not high-energy substrates; therefore, it is necessary to introduce more energetic substrate streams to improve the biogas plant efficiency.

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“…Despite the understanding that biomass supply chains (BSC) can frequently be studied using a spatial approach and with assistance from GIS (Zahraee et al 2020), there is still room for non-spatial research. If, for example, the focus is solely on the arrangement of business processes and the information flows between stakeholders in the supply chain (Windisch et al 2013), spatial data and methods are not needed.…”

Section: Research Into the Development Of Biomass Supply Chainsmentioning

confidence: 99%

Spatial forest biomass supply chain analysis in Finland

Korpinen¹

2021

Diss. For.

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The forest biomass supply represents an important part of the value chain for different woodbased products, and its environmental impacts are also frequently crucial. The performance of biomass supply chains (BSCs) can be assessed for various purposes and using a variety of methodological approaches, either including or excluding spatial properties. The purpose of this thesis was to investigate what kind of spatial data are required and available for casespecific BSC analyses in Finland, and what would be suitable levels of spatial precision for the various approaches. This thesis consists of five papers, one of which reviews case studies carried out in various geographical BSC environments around the world, while the remaining four are spatial case studies of BSC systems in Finland, three of them focusing on bioenergy production and one assessing the performance of a novel pulpwood transportation concept. A geographical information system (GIS) was used as the principal tool in one study, while in the other three the role of GIS was to produce spatially analysed data for life-cycle assessment and agent-based simulation. The main conclusion is that a spatial precision of between 1 km and 10 km, where each point of origin represents roughly an area of 1-100 km 2 , is sufficient for forest biomass data in Finnish BSC systems. The final precision should be determined collectively by the setup of the case study, factors leading to complexity in the supply chain system and the geographical extent of the area concerned. Relative to many other parts of the world, Finland has a readily available high quality source of spatial data for BSC research. It is recommended that GIS-based research could be improved by adding dynamic properties and stochasticity to the models, because temporal variations in feedstock supply and demand will probably increase in the future.

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Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the way forward

Cited by 105 publications

References 263 publications

Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

Database System for Estimating the Biogas Potential of Cattle and Swine Feces in Poland

Spatial forest biomass supply chain analysis in Finland

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