Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network
The supply of wood for energy is challenging due to high supply costs and rapidly increasing demand. As an important quality criterion, moisture content (MC) influences the revenues, demand and supply costs. For transport, the limiting factor is payload, if the MC is high. The effects of MC on cost...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Forestry
2016-01-01
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| Series: | Croatian Journal of Forest Engineering |
| Online Access: | https://hrcak.srce.hr/file/226106 |
| _version_ | 1818037365984198656 |
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| author | Martin Kühmaier Gernot Erber Christian Kanzian |
| author_facet | Martin Kühmaier Gernot Erber Christian Kanzian |
| author_sort | Martin Kühmaier |
| collection | DOAJ |
| description | The supply of wood for energy is challenging due to high supply costs and rapidly increasing demand. As an important quality criterion, moisture content (MC) influences the revenues, demand and supply costs. For transport, the limiting factor is payload, if the MC is high.
The effects of MC on costs and greenhouse gas (GHG) emissions for an optimized supply network have been analyzed using a previously developed multi-criteria optimization model by using different MCs in the range from 50 to 20%. The weighted sum scalarization approach was used to derive Pareto optimal points by changing weights stepwise from maximum profit to minimal GHG on a relatively large scale network of 356 storage locations, 119 freight stations and 228 plants. A decrease of 10% in MC from 40 to 30% will double the profit from 5.10 to 12.00 EUR × t–1. In the case of MC independent revenues, the sensitivity of the model is lower but clearly visible, with a profit increase from 6.00 EUR × t–1 at the MC of 40% to 10.00 EUR × t–1 at the MC of 30%. As expected, emissions will decrease with a decreasing MC. However, the effect on emissions is less prominent than the effect on profit. Reducing MC from 40 to 30% will save approximately 4% of the GHG per dry t. |
| first_indexed | 2024-12-10T07:25:42Z |
| format | Article |
| id | doaj.art-f3a3c4ec247a438c84d95976dafe63e1 |
| institution | Directory Open Access Journal |
| issn | 1845-5719 1848-9672 |
| language | English |
| last_indexed | 2024-12-10T07:25:42Z |
| publishDate | 2016-01-01 |
| publisher | University of Zagreb, Faculty of Forestry |
| record_format | Article |
| series | Croatian Journal of Forest Engineering |
| spelling | doaj.art-f3a3c4ec247a438c84d95976dafe63e12022-12-22T01:57:42ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722016-01-013715160153470Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply NetworkMartin Kühmaier0Gernot Erber1Christian Kanzian2University of Natural Resources and Life Sciences, Vienna Department of Forest and Soil Sciences Institute of Forest Engineering Peter Jordan Strasse 82 A-1190 Vienna AUSTRIAUniversity of Natural Resources and Life Sciences, Vienna Department of Forest and Soil Sciences Institute of Forest Engineering Peter Jordan Strasse 82 A-1190 Vienna AUSTRIAUniversity of Natural Resources and Life Sciences, Vienna Department of Forest and Soil Sciences Institute of Forest Engineering Peter Jordan Strasse 82 A-1190 Vienna AUSTRIAThe supply of wood for energy is challenging due to high supply costs and rapidly increasing demand. As an important quality criterion, moisture content (MC) influences the revenues, demand and supply costs. For transport, the limiting factor is payload, if the MC is high. The effects of MC on costs and greenhouse gas (GHG) emissions for an optimized supply network have been analyzed using a previously developed multi-criteria optimization model by using different MCs in the range from 50 to 20%. The weighted sum scalarization approach was used to derive Pareto optimal points by changing weights stepwise from maximum profit to minimal GHG on a relatively large scale network of 356 storage locations, 119 freight stations and 228 plants. A decrease of 10% in MC from 40 to 30% will double the profit from 5.10 to 12.00 EUR × t–1. In the case of MC independent revenues, the sensitivity of the model is lower but clearly visible, with a profit increase from 6.00 EUR × t–1 at the MC of 40% to 10.00 EUR × t–1 at the MC of 30%. As expected, emissions will decrease with a decreasing MC. However, the effect on emissions is less prominent than the effect on profit. Reducing MC from 40 to 30% will save approximately 4% of the GHG per dry t.https://hrcak.srce.hr/file/226106 |
| spellingShingle | Martin Kühmaier Gernot Erber Christian Kanzian Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network Croatian Journal of Forest Engineering |
| title | Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network |
| title_full | Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network |
| title_fullStr | Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network |
| title_full_unstemmed | Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network |
| title_short | Effects of Moisture Content on Supply Costs and CO2 Emissions for an Optimized Energy Wood Supply Network |
| title_sort | effects of moisture content on supply costs and co2 emissions for an optimized energy wood supply network |
| url | https://hrcak.srce.hr/file/226106 |
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