A spatial model for the economic evaluation of biomass production systems

Liu, Wei; Phillips, Victor D.; Singh, Devindar

doi:10.1016/0961-9534(92)90007-d

Cited by 18 publications

(4 citation statements)

References 12 publications

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“…It has been utilised in the dairy industry to allocate processing plants, such as AD, optimally [83]. There have been several studies that have used GISs to gain an optimal location for different facilities in a biomass supply chain [28,[84][85][86][87][88]. Furthermore, a GIS can be combined with other modelling techniques; Durmaz and Bilgen (2020) [73] combined a GIS with multi-criteria assessment to identify appropriate sites for the construction of biomass facilities.…”

Section: Geographic Information System (Gis)mentioning

confidence: 99%

Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review

Roudneshin,

Sosa

2024

Energies

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One of the United Nations’ 17 Sustainable Development Goals is to “Ensure access to affordable, sustainable, and clean energy for all.” Additionally, the growing concerns about climate change and energy security have heightened the importance of exploring alternative energy sources to replace fossil fuels. The utilisation of agricultural waste for bioenergy production has acquired significant attention due to its potential to mitigate environmental impacts and provide renewable energy sources. However, the major obstacle to producing bioenergy is managing the supply chain while considering economic, environmental, and social factors in an optimal way. This paper presents a comprehensive overview of the literature on the management of agriculture waste supply chains, specifically related to the use of modelling and optimisation techniques for planning. The first section describes different stages of the supply chain and various technologies for converting biomass to bioenergy. This is followed by a synopsis of the literature reviewed based on decision levels, objective functions, modelling methodologies, and optimisation approaches. Finally, the review highlights limitations and gaps in current research and the areas with potential for further exploration.

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Section: Geographic Information System (Gis)mentioning

confidence: 99%

Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review

Roudneshin,

Sosa

2024

Energies

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“…Several researchers have used GIS as a decision support system to evaluate the facility location problem for plants fed by agricultural products [43,44]. At the University of Hawaii, researchers linked geospatial data for roads, soil and land-use with forest productivity and economic models to assess the delivery cost of eucalyptus wood to potential conversion facilities on the Hawaiian Islands [45][46][47]. Graham et al used raster data to locate biorefineries based on the yield and distance to cropland [44].…”

Section: Literature Reviewmentioning

confidence: 99%

GIS-based allocation of herbaceous biomass in biorefineries and depots

Jones

Searcy

2017

Biomass and Bioenergy

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While sufficient biomass has been identified to meet the Renewable Fuel Standard (RFS2) 1 targets by previous studies, availability does not equal access. Our objective was to quantify the potential accessible and stranded herbaceous biomass from different scenarios of predicted available biomass in both Texas and the US. The location and size of potential biorefineries and depots was determined using the geographic location of suitable lands for biomass, the transportation infrastructure and published economic constraints for minimum biomass supplied to a facility within a specified neighborhood. Our GIS-based heuristic addresses the capacitated facility location problem by distributing potential biomass along a county's suitable lands.Road and rail proximity optionally was included in the algorithm. The total stranded biomass in Texas was 28% of the total available biomass. Including the constraint of the transportation network accessibility (rail and appropriate roads) when determining facility location increased the total stranded biomass to 33%. Using county centroids as supply points and potential facilities led to an increase of 7% in total biomass captured by all facilities in Texas when compared to our raster-based heuristic. The nationwide accessible biomass is 90% of the available biomass, 78% of which is captured by biorefineries. In total, 77 biorefineries and 171 depots were identified in the US, which projects to 184 million Mg year -1 delivered to biorefineries and depots, or 65.3 billion liters of advanced biofuels, more than the targeted 60 billion liters of advanced cellulosic biofuel in the RFS2.

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“…Therefore, it is essential to allow for spatial variability in SRC feasibility studies. Geographical information systems (GIS) provide not only a useful opportunity for economic evaluation of biomass production systems (see Liu et al, 1992;Graham et al, 2000), but also a powerful tool to allow for spatial variability of the environmental conditions in an integrated manner (see for example Davydchuk, 1999;Goor et al, 2001;Kolejka, 2002).…”

Section: Introductionmentioning

confidence: 99%