Quantifying spatial dependencies, trade‐offs and uncertainty in bioenergy costs: An Australian case study (1) – least cost production scale

Brinsmead, Thomas S.; Herr, Alexander; O’Connell, Deborah

doi:10.1002/bbb.1502

Cited by 9 publications

(26 citation statements)

References 21 publications

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“…as demonstrated by Brinsmead et al . (,b). This approach can be further explored across the range of biomass types and regions matched with energy types and scales.…”

Section: Discussionmentioning

confidence: 97%

“…The approach taken by Brinsmead et al . (,b) and Rodriguez et al . () could be applied at a national scale across the aggregate biomass PAfH, along with more detailed surveys of cost structures relevant to each region.…”

Section: Discussionmentioning

confidence: 98%

“…Depending on the type of technology, there are trade‐offs between the type and scale of economy of the conversion facility, and the spatial distribution and concentration of the feedstock resource (e.g. Richard, ; Stucley et al ., ; Brinsmead et al ., ). Brinsmead et al .…”

Section: Discussionmentioning

confidence: 99%

“…No allowance has been made for any current uses of these products, Rodriguez et al ., ,c and Farine et al ., have discussed some current uses of stubble, bagasse and sawmill wastes. Rodriguez et al ., ,b,c have produced biomass supply curves, and Brinsmead et al ., ,b have examined how to optimize plant size and type.…”

Section: Introductionmentioning

confidence: 97%

“…Furthermore, Brinsmead et al . (,b) developed quantitative methods to optimize the locations of bioenergy facilities. The missing link is information on distribution, location, spatial density and seasonal supply at regional scale across the country.…”

Section: Introductionmentioning

confidence: 99%

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A spatial assessment of potential biomass for bioenergy in Australia in 2010, and possible expansion by 2030 and 2050

et al. 2016

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This paper provides spatial estimates of potentially available biomass for bioenergy in Australia in 2010, 2030 and 2050 (under clearly stated assumptions) for the following biomass sources: crop stubble, native grasses, pulpwood and residues (created either during forest harvesting or wood processing) from plantations and native forests, bagasse, organic municipal solid waste and new short-rotation tree crops. For each biomass type, we estimated annual potential availability at the finest scale possible with readily accessible data, and then aggregated to make estimates for each of 60 Statistical Divisions (administrative areas) across Australia. The potentially available lignocellulosic biomass is estimated at approximately 80 Mt per year, with the major contributors of crop stubble (27.7 Mt per year), grasses (19.7 Mt per year) and forest plantations (10.9 Mt per year). Over the next 20-40 years, total potentially available biomass could increase to 100-115 Mt per year, with new plantings of short-rotation trees being the major source of the increase (14.7 Mt per year by 2030 and 29.3 Mt per year by 2050). We exclude oilseeds, algae and 'regrowth', that is woody vegetation naturally regenerating on previously cleared land, which may be important in several regions of Australia (Australian Forestry 77, 2014, 1; Global Change Biology Bioenergy 7, 2015, 497). We briefly discuss some of the challenges to providing a reliable and sustainable supply of the large amounts of biomass required to build a bioenergy industry of significant scale. More detailed regional analyses, including of the costs of delivered biomass, logistics and economics of harvest, transport and storage, competing markets for biomass and a full assessment of the sustainability of production are needed to underpin investment in specific conversion facilities (e.g. Opportunities for forest bioenergy: An assessment of the environmental and economic opportunities and constraints associated with bioenergy production from biomass resources in two prospective regions of Australia, 2011a).

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“…as demonstrated by Brinsmead et al . (,b). This approach can be further explored across the range of biomass types and regions matched with energy types and scales.…”

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A spatial assessment of potential biomass for bioenergy in Australia in 2010, and possible expansion by 2030 and 2050

et al. 2016

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Quantifying spatial dependencies, trade‐offs and uncertainty in bioenergy costs: an Australian case study (2) – National supply curves

Brinsmead

Herr

O’Connell

2014

Biofuels Bioprod Bioref

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A biophysically constrained economic analysis of several alternative biofuel production pathways develops upper and lower bounds on national supply cost curves, taking into account implicit spatial dependencies and trade‐offs. As well as land (and sea) transport suitable biofuels, we also consider electricity and aviation biofuels. One feedstock (crop residues from grains) and five bioenergy pathways illustrate this approach for Australia. The methods are, however, applicable to any feedstock, bioenergy technology, region, or scale. Biofuel production costs, dependent on the spatial concentration of available feedstock, are derived in a companion paper by selecting a cost minimizing production scale. Lower concentrations imply smaller processing plants and greater collection areas and costs. Any candidate production plant location can have a collection area that approximates the least cost for its average spatial concentration, because feedstock concentration varies only modestly within cost minimizing area scales. A set of plant locations, scales, and near to least‐cost collection areas, is found that collectively service all the available residue feedstock using Australian data. This generates upper and lower bounds on nationally aggregated supply cost curves. The sizing of biofuel facilities will be also affected by investment scale commercial considerations, including the reliability of feedstock and investor appetite for risk: these are discussed qualitatively. © 2014 Society of Chemical Industry and John Wiley & Sons, Ltd

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Assessment of bioenergy production from mid-rotation thinning of hardwood plantation: life cycle assessment and cost analysis

Hanandeh

2017

Clean Techn Environ Policy

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Quantifying spatial dependencies, trade‐offs and uncertainty in bioenergy costs: An Australian case study (1) – least cost production scale

Cited by 9 publications

References 21 publications

A spatial assessment of potential biomass for bioenergy in Australia in 2010, and possible expansion by 2030 and 2050

A spatial assessment of potential biomass for bioenergy in Australia in 2010, and possible expansion by 2030 and 2050

Quantifying spatial dependencies, trade‐offs and uncertainty in bioenergy costs: an Australian case study (2) – National supply curves

Assessment of bioenergy production from mid-rotation thinning of hardwood plantation: life cycle assessment and cost analysis

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