Title |
Techno-economic potential of bioethanol from bamboo in China
|
---|---|
Published in |
Biotechnology for Biofuels and Bioproducts, November 2013
|
DOI | 10.1186/1754-6834-6-173 |
Pubmed ID | |
Authors |
Jade Littlewood, Lei Wang, Colin Turnbull, Richard J Murphy |
Abstract |
Bamboo is potentially an interesting feedstock for advanced bioethanol production in China due to its natural abundance, rapid growth, perennial nature and low management requirements. Liquid hot water (LHW) pretreatment was selected as a promising technology to enhance sugar release from bamboo lignocellulose whilst keeping economic and environmental costs to a minimum. The present research was conducted to assess: 1) by how much LHW pretreatment can enhance sugar yields in bamboo, and 2) whether this process has the potential to be economically feasible for biofuel use at the commercial scale. Pretreatments were performed at temperatures of 170-190°C for 10-30 minutes, followed by enzymatic saccharification with a commercial enzyme cocktail at various loadings. These data were then used as inputs to a techno-economic model using AspenPlus™ to determine the production cost of bioethanol from bamboo in China. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 2 | 1% |
United Kingdom | 2 | 1% |
India | 2 | 1% |
Nepal | 1 | <1% |
Chile | 1 | <1% |
Brazil | 1 | <1% |
Belgium | 1 | <1% |
Philippines | 1 | <1% |
Unknown | 153 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 17% |
Student > Ph. D. Student | 20 | 12% |
Researcher | 18 | 11% |
Student > Bachelor | 18 | 11% |
Student > Postgraduate | 11 | 7% |
Other | 31 | 19% |
Unknown | 38 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 21% |
Engineering | 23 | 14% |
Chemical Engineering | 17 | 10% |
Environmental Science | 8 | 5% |
Economics, Econometrics and Finance | 6 | 4% |
Other | 34 | 21% |
Unknown | 41 | 25% |