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Optimizing biodiesel production in India
a.International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria;b.Division of Energy Engineering, Luleå University of Technology, SE-97187 Luleå, Sweden.
International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria.
Mälardalen University, School of Sustainable Development of Society and Technology.ORCID iD: 0000-0001-9230-1596
International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria.
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2009 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 86, no 1, p. S125-S131Article in journal (Refereed) Published
Abstract [en]

India is expected to at least double its fuel consumption in the transportation sector by 2030. To contributeto the fuel supply, renewable energies such as jatropha appear to be an attractive resource for biodieselproduction in India as it can be grown on waste land and does not need intensive water supply. In orderto produce biodiesel at a competitive cost, the biodiesel supply chain – from biomass harvesting to biodieseldelivery to the consumers – is analyzed. A mixed integer linear programming model is used in order todetermine the optimal number and geographic locations of biodiesel plants. The optimization is based onminimization of the costs of the supply chain with respect to the biomass, production and transportationcosts. Three biodiesel blends are considered, B2, B5 and B10. For each blend, 13 scenarios are consideredwhere yield, biomass cost, cake price, glycerol price, transport cost and investment costs are studied. A sensitivityanalysis is carried out on both those parameters and the resulting locations of the plants. The emissionsof the supply chain are also considered. The results state that the biomass cost has most influence onthe biodiesel cost (an increase of feedstock cost increases the biodiesel cost by about 40%) and to a lowereffect, the investment cost and the glycerol price. Moreover, choosing the right set of production plant locationshighly depends on the scenarios that have the highest probability to occur, for which the productionplant locations still produce a competitive biodiesel cost and emissions from the transportation are minimum.In this study, one set of plant locations happened to meet these two requirements

Place, publisher, year, edition, pages
Selevier , 2009. Vol. 86, no 1, p. S125-S131
Keywords [en]
Biodiesel; Jatropha; Plant location; India; Supply chain
National Category
Engineering and Technology
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-7589DOI: 10.1016/j.apenergy.2009.05.024ISI: 000271170300015Scopus ID: 2-s2.0-67949109532OAI: oai:DiVA.org:mdh-7589DiVA, id: diva2:278725
Available from: 2009-11-29 Created: 2009-11-29 Last updated: 2017-12-12Bibliographically approved

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