Title |
A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain: an assessment of decentralised processing potential
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Published in |
Biotechnology for Biofuels and Bioproducts, July 2008
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DOI | 10.1186/1754-6834-1-13 |
Pubmed ID | |
Authors |
Alex J Dunnett, Claire S Adjiman, Nilay Shah |
Abstract |
Lignocellulosic bioethanol technologies exhibit significant capacity for performance improvement across the supply chain through the development of high-yielding energy crops, integrated pretreatment, hydrolysis and fermentation technologies and the application of dedicated ethanol pipelines. The impact of such developments on cost-optimal plant location, scale and process composition within multiple plant infrastructures is poorly understood. A combined production and logistics model has been developed to investigate cost-optimal system configurations for a range of technological, system scale, biomass supply and ethanol demand distribution scenarios specific to European agricultural land and population densities. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 3% |
United States | 3 | 2% |
Chile | 2 | 1% |
Brazil | 2 | 1% |
Indonesia | 1 | <1% |
Singapore | 1 | <1% |
Ethiopia | 1 | <1% |
China | 1 | <1% |
Belgium | 1 | <1% |
Other | 0 | 0% |
Unknown | 154 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 24% |
Researcher | 29 | 17% |
Student > Master | 25 | 15% |
Student > Doctoral Student | 14 | 8% |
Student > Postgraduate | 8 | 5% |
Other | 31 | 18% |
Unknown | 24 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 41 | 24% |
Agricultural and Biological Sciences | 23 | 13% |
Environmental Science | 19 | 11% |
Economics, Econometrics and Finance | 9 | 5% |
Business, Management and Accounting | 8 | 5% |
Other | 34 | 20% |
Unknown | 38 | 22% |