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A methodology for evaluating the rel...
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Dalhousie University (Canada).
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A methodology for evaluating the reliable supply of logging residues for bioenergy applications.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A methodology for evaluating the reliable supply of logging residues for bioenergy applications./
作者:
Dhaliwal, Mandeep Kaur.
面頁冊數:
131 p.
附註:
Source: Masters Abstracts International, Volume: 47-02, page: 1064.
Contained By:
Masters Abstracts International47-02.
標題:
Agriculture, Forestry and Wildlife. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR42605
ISBN:
9780494426050
A methodology for evaluating the reliable supply of logging residues for bioenergy applications.
Dhaliwal, Mandeep Kaur.
A methodology for evaluating the reliable supply of logging residues for bioenergy applications.
- 131 p.
Source: Masters Abstracts International, Volume: 47-02, page: 1064.
Thesis (M.A.Sc.)--Dalhousie University (Canada), 2008.
BioLR-DSS will be useful to those policy-makers and stakeholders interested in strategic level assessment of the energy available from logging residues in an undeveloped bioenergy market.
ISBN: 9780494426050Subjects--Topical Terms:
783690
Agriculture, Forestry and Wildlife.
A methodology for evaluating the reliable supply of logging residues for bioenergy applications.
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A methodology for evaluating the reliable supply of logging residues for bioenergy applications.
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Source: Masters Abstracts International, Volume: 47-02, page: 1064.
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Thesis (M.A.Sc.)--Dalhousie University (Canada), 2008.
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BioLR-DSS will be useful to those policy-makers and stakeholders interested in strategic level assessment of the energy available from logging residues in an undeveloped bioenergy market.
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The growing concerns over anthropogenic climate change and, more recently, energy security, is increasing interest in local, renewable energy sources which are also low in their carbon-intensity. Bioenergy, or energy from biomass sources, is an example of such an energy source. One particularly attractive bioenergy option is logging residues, the leftovers from the conventional forest industry.
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However, biomass from logging residues is a complex resource having a low-energy density constraining its transportation distances. It is also subject to spatial and temporal variations due to the forest cover growth and conventional forest products demand. For evaluating the resource and optimal locating and sizing of the facilities while maintaining biomass supplies efficient and reliable, this thesis designs, develops, and implements BioLR-DSS, a decision support system for bioenergy from logging residues. The input requirements and algorithms for BioLR-DSS are described and its capabilities are demonstrated in a case study for western Nova Scotia.
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