Comparison of biomass feedstock supply and demand in Northeast Italy
This study uses Geographical Information Systems (GIS) to estimate woody biomass supply and demand in Northeast Italy. Demand is estimated using census data on boilers and supply calculations are derived from data on timber harvests and mill operations. The analysis is done with GIS using Large Scal...
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| Veröffentlicht in: | Biomass & bioenergy 2011-08, Vol.35 (8), p.3309-3317 |
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| creator | Emer, B. Grigolato, S. Lubello, D. Cavalli, R. |
| description | This study uses Geographical Information Systems (GIS) to estimate woody biomass supply and demand in Northeast Italy. Demand is estimated using census data on boilers and supply calculations are derived from data on timber harvests and mill operations. The analysis is done with GIS using Large Scale Analysis at a broader resolution (for the entire region) and Small Scale Analysis at a finer resolution (for the Primiero valley only), with added information on tree species, road networks and logging systems. From large scale analysis demand results to be about 163 000
MWh, corresponding to about 71 000 tonnes per year of fuel, with a moisture content of 50 percent. As shown by results from a small scale analysis, the Primiero valley has a deficit of 21 400
MWh. A more thorough analysis shows that 93 percent of logging operations can be performed with cable cranes and that high quality chips derived from forest biomass amount to only 335
MWh of energy (20 percent of the total). The deficit calculated at a small scale confirms the value obtained in the large scale calculation.
Analysis of the demand-supply balance will be helpful for decision makers and politicians and should be taken into account when allocating subsidies for new boilers or district heating. |
| doi_str_mv | 10.1016/j.biombioe.2010.09.005 |
| format | Article |
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MWh, corresponding to about 71 000 tonnes per year of fuel, with a moisture content of 50 percent. As shown by results from a small scale analysis, the Primiero valley has a deficit of 21 400
MWh. A more thorough analysis shows that 93 percent of logging operations can be performed with cable cranes and that high quality chips derived from forest biomass amount to only 335
MWh of energy (20 percent of the total). The deficit calculated at a small scale confirms the value obtained in the large scale calculation.
Analysis of the demand-supply balance will be helpful for decision makers and politicians and should be taken into account when allocating subsidies for new boilers or district heating.</description><identifier>ISSN: 0961-9534</identifier><identifier>EISSN: 1873-2909</identifier><identifier>DOI: 10.1016/j.biombioe.2010.09.005</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Applied sciences ; Biomass ; census data ; Demand ; Economic data ; Energy ; Energy economics ; Exact sciences and technology ; feedstocks ; forests ; fuels ; General, economic and professional studies ; Geographic information systems ; GIS ; heat treatment ; Logging ; Marketing ; Mathematical analysis ; Natural energy ; Satellite navigation systems ; Small scale ; subsidies ; Supply ; supply balance ; Supply-chain ; trees ; Valleys ; water content ; Wood energy chain management</subject><ispartof>Biomass & bioenergy, 2011-08, Vol.35 (8), p.3309-3317</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-4190769b98f11c98eff66f82127aa778467d13965066b40460dafd25bfeef5903</citedby><cites>FETCH-LOGICAL-c497t-4190769b98f11c98eff66f82127aa778467d13965066b40460dafd25bfeef5903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.biombioe.2010.09.005$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>310,311,315,781,785,790,791,3551,23932,23933,25142,27926,27927,45997</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24469447$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Emer, B.</creatorcontrib><creatorcontrib>Grigolato, S.</creatorcontrib><creatorcontrib>Lubello, D.</creatorcontrib><creatorcontrib>Cavalli, R.</creatorcontrib><title>Comparison of biomass feedstock supply and demand in Northeast Italy</title><title>Biomass & bioenergy</title><description>This study uses Geographical Information Systems (GIS) to estimate woody biomass supply and demand in Northeast Italy. Demand is estimated using census data on boilers and supply calculations are derived from data on timber harvests and mill operations. The analysis is done with GIS using Large Scale Analysis at a broader resolution (for the entire region) and Small Scale Analysis at a finer resolution (for the Primiero valley only), with added information on tree species, road networks and logging systems. From large scale analysis demand results to be about 163 000
MWh, corresponding to about 71 000 tonnes per year of fuel, with a moisture content of 50 percent. As shown by results from a small scale analysis, the Primiero valley has a deficit of 21 400
MWh. A more thorough analysis shows that 93 percent of logging operations can be performed with cable cranes and that high quality chips derived from forest biomass amount to only 335
MWh of energy (20 percent of the total). The deficit calculated at a small scale confirms the value obtained in the large scale calculation.
Analysis of the demand-supply balance will be helpful for decision makers and politicians and should be taken into account when allocating subsidies for new boilers or district heating.</description><subject>Applied sciences</subject><subject>Biomass</subject><subject>census data</subject><subject>Demand</subject><subject>Economic data</subject><subject>Energy</subject><subject>Energy economics</subject><subject>Exact sciences and technology</subject><subject>feedstocks</subject><subject>forests</subject><subject>fuels</subject><subject>General, economic and professional studies</subject><subject>Geographic information systems</subject><subject>GIS</subject><subject>heat treatment</subject><subject>Logging</subject><subject>Marketing</subject><subject>Mathematical analysis</subject><subject>Natural energy</subject><subject>Satellite navigation systems</subject><subject>Small scale</subject><subject>subsidies</subject><subject>Supply</subject><subject>supply balance</subject><subject>Supply-chain</subject><subject>trees</subject><subject>Valleys</subject><subject>water content</subject><subject>Wood energy chain management</subject><issn>0961-9534</issn><issn>1873-2909</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkc1u1DAUhS1EJYaWV4BsKrrJ9PondrwDTfmpVLWL0rXlcWzwNImDb6bSvD2OprCkC-tK1nePjz4T8p7CmgKVl7v1NqahHL9mUC5BrwGaV2RFW8VrpkG_JivQkta64eINeYu4A6ACBF2Rq00aJpsjprFKoVqSLGIVvO9wTu6xwv009YfKjl3V-WEZcaxuU55_eYtzdT3b_nBGToLt0b97nqfk4euXH5vv9c3dt-vN55vaCa3mWlANSuqtbgOlTrc-BClDyyhT1irVCqk6yrVsQMptqSehs6Fjzba0CY0Gfko-HnOnnH7vPc5miOh839vRpz2atuXAFweFvPgvSZVStFGMs4LKI-pyQsw-mCnHweaDoWAWwWZn_go2S7gBbYrgsnj-_IZFZ_uQ7egi_ttmQkgthCrchyMXbDL2Z3FtHu7Z8gEAXLQNL8SnI-GLvKfos0EX_eh8F7N3s-lSfKnMH1aFnDY</recordid><startdate>20110801</startdate><enddate>20110801</enddate><creator>Emer, B.</creator><creator>Grigolato, S.</creator><creator>Lubello, D.</creator><creator>Cavalli, R.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>7QO</scope><scope>7ST</scope><scope>7U6</scope><scope>P64</scope><scope>SOI</scope></search><sort><creationdate>20110801</creationdate><title>Comparison of biomass feedstock supply and demand in Northeast Italy</title><author>Emer, B. ; Grigolato, S. ; Lubello, D. ; Cavalli, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-4190769b98f11c98eff66f82127aa778467d13965066b40460dafd25bfeef5903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Biomass</topic><topic>census data</topic><topic>Demand</topic><topic>Economic data</topic><topic>Energy</topic><topic>Energy economics</topic><topic>Exact sciences and technology</topic><topic>feedstocks</topic><topic>forests</topic><topic>fuels</topic><topic>General, economic and professional studies</topic><topic>Geographic information systems</topic><topic>GIS</topic><topic>heat treatment</topic><topic>Logging</topic><topic>Marketing</topic><topic>Mathematical analysis</topic><topic>Natural energy</topic><topic>Satellite navigation systems</topic><topic>Small scale</topic><topic>subsidies</topic><topic>Supply</topic><topic>supply balance</topic><topic>Supply-chain</topic><topic>trees</topic><topic>Valleys</topic><topic>water content</topic><topic>Wood energy chain management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Emer, B.</creatorcontrib><creatorcontrib>Grigolato, S.</creatorcontrib><creatorcontrib>Lubello, D.</creatorcontrib><creatorcontrib>Cavalli, R.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Biomass & bioenergy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Emer, B.</au><au>Grigolato, S.</au><au>Lubello, D.</au><au>Cavalli, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of biomass feedstock supply and demand in Northeast Italy</atitle><jtitle>Biomass & bioenergy</jtitle><date>2011-08-01</date><risdate>2011</risdate><volume>35</volume><issue>8</issue><spage>3309</spage><epage>3317</epage><pages>3309-3317</pages><issn>0961-9534</issn><eissn>1873-2909</eissn><abstract>This study uses Geographical Information Systems (GIS) to estimate woody biomass supply and demand in Northeast Italy. Demand is estimated using census data on boilers and supply calculations are derived from data on timber harvests and mill operations. The analysis is done with GIS using Large Scale Analysis at a broader resolution (for the entire region) and Small Scale Analysis at a finer resolution (for the Primiero valley only), with added information on tree species, road networks and logging systems. From large scale analysis demand results to be about 163 000
MWh, corresponding to about 71 000 tonnes per year of fuel, with a moisture content of 50 percent. As shown by results from a small scale analysis, the Primiero valley has a deficit of 21 400
MWh. A more thorough analysis shows that 93 percent of logging operations can be performed with cable cranes and that high quality chips derived from forest biomass amount to only 335
MWh of energy (20 percent of the total). The deficit calculated at a small scale confirms the value obtained in the large scale calculation.
Analysis of the demand-supply balance will be helpful for decision makers and politicians and should be taken into account when allocating subsidies for new boilers or district heating.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.biombioe.2010.09.005</doi><tpages>9</tpages></addata></record> |
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| subjects | Applied sciences Biomass census data Demand Economic data Energy Energy economics Exact sciences and technology feedstocks forests fuels General, economic and professional studies Geographic information systems GIS heat treatment Logging Marketing Mathematical analysis Natural energy Satellite navigation systems Small scale subsidies Supply supply balance Supply-chain trees Valleys water content Wood energy chain management |
| title | Comparison of biomass feedstock supply and demand in Northeast Italy |
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