Modelling supply and demand of bioenergy from short rotation coppice and Miscanthus in the UK.
Identifieur interne : 003192 ( Main/Exploration ); précédent : 003191; suivant : 003193Modelling supply and demand of bioenergy from short rotation coppice and Miscanthus in the UK.
Auteurs : A W Bauen [Royaume-Uni] ; A J Dunnett ; G M Richter ; A G Dailey ; M. Aylott ; E. Casella ; G. TaylorSource :
- Bioresource technology [ 1873-2976 ] ; 2010.
Descripteurs français
- KwdFr :
- Agriculture (économie), Allocation des ressources (MeSH), Biomasse (MeSH), Lignine (métabolisme), Modèles biologiques (MeSH), Poaceae (croissance et développement), Produits agricoles (croissance et développement), Produits agricoles (économie), Royaume-Uni (MeSH), Sources d'énergie bioélectrique (ressources et distribution), Sources d'énergie bioélectrique (économie).
- MESH :
- croissance et développement : Poaceae, Produits agricoles.
- métabolisme : Lignine.
- ressources et distribution : Sources d'énergie bioélectrique.
- économie : Agriculture, Produits agricoles, Sources d'énergie bioélectrique.
- Allocation des ressources, Biomasse, Modèles biologiques, Royaume-Uni.
English descriptors
- KwdEn :
- Agriculture (economics), Bioelectric Energy Sources (economics), Bioelectric Energy Sources (supply & distribution), Biomass (MeSH), Crops, Agricultural (economics), Crops, Agricultural (growth & development), Lignin (metabolism), Models, Biological (MeSH), Poaceae (growth & development), Resource Allocation (MeSH), United Kingdom (MeSH).
- MESH :
- chemical , metabolism : Lignin.
- economics : Agriculture, Bioelectric Energy Sources, Crops, Agricultural.
- growth & development : Crops, Agricultural, Poaceae.
- supply & distribution : Bioelectric Energy Sources.
- Biomass, Models, Biological, Resource Allocation, United Kingdom.
Abstract
Biomass from lignocellulosic energy crops can contribute to primary energy supply in the short term in heat and electricity applications and in the longer term in transport fuel applications. This paper estimates the optimal feedstock allocation of herbaceous and woody lignocellulosic energy crops for England and Wales based on empirical productivity models. Yield maps for Miscanthus, willow and poplar, constrained by climatic, soil and land use factors, are used to estimate the potential resource. An energy crop supply-cost curve is estimated based on the resource distribution and associated production costs. The spatial resource model is then used to inform the supply of biomass to geographically distributed demand centres, with co-firing plants used as an illustration. Finally, the potential contribution of energy crops to UK primary energy and renewable energy targets is discussed.
DOI: 10.1016/j.biortech.2010.05.002
PubMed: 20624602
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Aylott</name></author><author><name sortKey="Casella, E" sort="Casella, E" uniqKey="Casella E" first="E" last="Casella">E. Casella</name></author><author><name sortKey="Taylor, G" sort="Taylor, G" uniqKey="Taylor G" first="G" last="Taylor">G. Taylor</name></author></analytic><series><title level="j">Bioresource technology</title><idno type="eISSN">1873-2976</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (economics)</term><term>Bioelectric Energy Sources (economics)</term><term>Bioelectric Energy Sources (supply & distribution)</term><term>Biomass (MeSH)</term><term>Crops, Agricultural (economics)</term><term>Crops, Agricultural (growth & development)</term><term>Lignin (metabolism)</term><term>Models, Biological (MeSH)</term><term>Poaceae (growth & development)</term><term>Resource Allocation (MeSH)</term><term>United Kingdom (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Agriculture (économie)</term><term>Allocation des ressources (MeSH)</term><term>Biomasse (MeSH)</term><term>Lignine (métabolisme)</term><term>Modèles biologiques (MeSH)</term><term>Poaceae (croissance et développement)</term><term>Produits agricoles (croissance et développement)</term><term>Produits agricoles (économie)</term><term>Royaume-Uni (MeSH)</term><term>Sources d'énergie bioélectrique (ressources et distribution)</term><term>Sources d'énergie bioélectrique (économie)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Lignin</term></keywords><keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr"><term>Poaceae</term><term>Produits agricoles</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Agriculture</term><term>Bioelectric Energy Sources</term><term>Crops, Agricultural</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Crops, Agricultural</term><term>Poaceae</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Lignine</term></keywords><keywords scheme="MESH" qualifier="ressources et distribution" xml:lang="fr"><term>Sources d'énergie bioélectrique</term></keywords><keywords scheme="MESH" qualifier="supply & distribution" xml:lang="en"><term>Bioelectric Energy Sources</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Agriculture</term><term>Produits agricoles</term><term>Sources d'énergie bioélectrique</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biomass</term><term>Models, Biological</term><term>Resource Allocation</term><term>United Kingdom</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Allocation des ressources</term><term>Biomasse</term><term>Modèles biologiques</term><term>Royaume-Uni</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Biomass from lignocellulosic energy crops can contribute to primary energy supply in the short term in heat and electricity applications and in the longer term in transport fuel applications. This paper estimates the optimal feedstock allocation of herbaceous and woody lignocellulosic energy crops for England and Wales based on empirical productivity models. Yield maps for Miscanthus, willow and poplar, constrained by climatic, soil and land use factors, are used to estimate the potential resource. An energy crop supply-cost curve is estimated based on the resource distribution and associated production costs. The spatial resource model is then used to inform the supply of biomass to geographically distributed demand centres, with co-firing plants used as an illustration. Finally, the potential contribution of energy crops to UK primary energy and renewable energy targets is discussed.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20624602</PMID><DateCompleted><Year>2010</Year><Month>10</Month><Day>21</Day></DateCompleted><DateRevised><Year>2016</Year><Month>11</Month><Day>25</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-2976</ISSN><JournalIssue CitedMedium="Internet"><Volume>101</Volume><Issue>21</Issue><PubDate><Year>2010</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Bioresource technology</Title><ISOAbbreviation>Bioresour Technol</ISOAbbreviation></Journal><ArticleTitle>Modelling supply and demand of bioenergy from short rotation coppice and Miscanthus in the UK.</ArticleTitle><Pagination><MedlinePgn>8132-43</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.biortech.2010.05.002</ELocationID><Abstract><AbstractText>Biomass from lignocellulosic energy crops can contribute to primary energy supply in the short term in heat and electricity applications and in the longer term in transport fuel applications. This paper estimates the optimal feedstock allocation of herbaceous and woody lignocellulosic energy crops for England and Wales based on empirical productivity models. Yield maps for Miscanthus, willow and poplar, constrained by climatic, soil and land use factors, are used to estimate the potential resource. An energy crop supply-cost curve is estimated based on the resource distribution and associated production costs. The spatial resource model is then used to inform the supply of biomass to geographically distributed demand centres, with co-firing plants used as an illustration. Finally, the potential contribution of energy crops to UK primary energy and renewable energy targets is discussed.</AbstractText><CopyrightInformation>Copyright 2010 Elsevier Ltd. 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Aylott</name><name sortKey="Casella, E" sort="Casella, E" uniqKey="Casella E" first="E" last="Casella">E. Casella</name><name sortKey="Dailey, A G" sort="Dailey, A G" uniqKey="Dailey A" first="A G" last="Dailey">A G Dailey</name><name sortKey="Dunnett, A J" sort="Dunnett, A J" uniqKey="Dunnett A" first="A J" last="Dunnett">A J Dunnett</name><name sortKey="Richter, G M" sort="Richter, G M" uniqKey="Richter G" first="G M" last="Richter">G M Richter</name><name sortKey="Taylor, G" sort="Taylor, G" uniqKey="Taylor G" first="G" last="Taylor">G. Taylor</name></noCountry><country name="Royaume-Uni"><noRegion><name sortKey="Bauen, A W" sort="Bauen, A W" uniqKey="Bauen A" first="A W" last="Bauen">A W Bauen</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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