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  • 1.
    Leduc, Sylvain
    et al.
    International Institute for Applied System Analysis, Austria.
    Lundgren, Joakim
    Luleå tekniska universitet, Energivetenskap; International Institute for Applied System Analysis, Austria.
    Franklin, Oskar
    International Institute for Applied System Analysis, Austria.
    Schmid, Erwin
    University of Natural Resources and Applied Life Sciences, Austria.
    Dotzauer, Erik
    Mälardalen University.
    Optimal location for a biomass based methanol production plant: case study in Northern Sweden2007Inngår i: From Research to Market Deployment: 15th European Biomass Conference & Exhibition ; proceedings of the international conference held in Berlin, Germany, 7 - 11 May 2007 / [ed] K. Maniatis, Florence: ETA - Renewable Energies , 2007Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Methanol appears to be a new alternative fuel in the transport sector. Methanol can be produced through gasification of lignocellulosic biomass, which makes it a renewable fuel, and its utilization has therefore an impact on greenhouse gas emissions. The county of Norrbotten in northern Sweden has the characteristic to have great amount of woody biomass, and a sparsely inhabited area. Transportation distances of both biomass and methanol would then have a great impact on the final cost of methanol depending on where the methanol plant is located. This county was therefore studied as a case study with a twenty year perspective in order to validate an optimization model. The optimal locations of three different sizes of methanol plants were studied for four demographic scenarios. From this study it appears that methanol plants of 100 MWbiomass and 200 MWbiomass would be set up closer to the demand area than a 400 MWbiomass that would optimally be set up more inlands close to the available biomass.

    Fulltekst (pdf)
    FULLTEXT01
  • 2.
    Leduc, Sylvain
    et al.
    Luleå tekniska universitet, Energivetenskap.
    Natarajan, Karthikeyan
    International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria.
    Dotzauer, Erik
    Mälardalen University, Sweden.
    McCallum, Ian
    International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria.
    Obersteiner, Michael
    International Institute for Applied System Analysis (IIASA), A-2361 Laxenburg, Austria.
    Optimizing biodiesel production in India2009Inngår i: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 86, nr Suppl. 1, s. S125-S131Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    India is expected to at least double its fuel consumption in the transportation sector by 2030. To contribute to the fuel supply, renewable energies such as jatropha appear to be an attractive resource for biodiesel production in India as it can be grown on waste land and does not need intensive water supply. In order to produce biodiesel at a competitive cost, the biodiesel supply chain - from biomass harvesting to biodiesel delivery to the consumers - is analyzed. A mixed integer linear programming model is used in order to determine the optimal number and geographic locations of biodiesel plants. The optimization is based on minimization of the costs of the supply chain with respect to the biomass, production and transportation costs. Three biodiesel blends are considered, B2, B5 and B10. For each blend, 13 scenarios are considered where yield, biomass cost, cake price, glycerol price, transport cost and investment costs are studied. A sensitivity analysis is carried out on both those parameters and the resulting locations of the plants. The emissions of the supply chain are also considered. The results state that the biomass cost has most influence on the biodiesel cost (an increase of feedstock cost increases the biodiesel cost by about 40%) and to a lower effect, the investment cost and the glycerol price. Moreover, choosing the right set of production plant locations highly depends on the scenarios that have the highest probability to occur, for which the production plant 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.

  • 3.
    Leduc, Sylvain
    et al.
    Luleå tekniska universitet, Energivetenskap.
    Schwab,, Dagmar
    University of Natural Resources and Applied Life Sciences, Vienna.
    Dotzauer, Erik
    Mälardalen University.
    Schmid, Erwin
    University of Natural Resources and Applied Life Sciences, Vienna.
    Obersteiner, Michael
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Optimal location of wood gasification plants for methanol production with heat recovery2008Inngår i: International Journal of Energy Research, ISSN 0363-907X, E-ISSN 1099-114X, Vol. 32, nr 12, s. 1080-1091Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Second generation biofuels from wood gasification are thought to become competitive in the face of effective climate and energy security policies. Cost competitiveness crucially depends on the optimization of the entire supply chain-field-wheel involving optimal location, scaling and logistics. In this study, a linear mixed integer programming model has been developed to determine the optimal geographic locations and sizes of methanol plants and gas stations in Austria. Optimal locations and sizes are found by the minimization of costs with respect to biomass and methanol production and transport, investments for the production plants and the gas stations. Hence, the model covers competition in all levels of a biofuel production chain including supply of biomass, biofuel and heat, and demand for bio- and fossil fuels.The results show that Austria could be self-sufficient in the production of methanol for biofuels like M5, M10 or M20, using up to 8% of the arable land share. The plants are optimally located close to the potential supply of biomass (i.e. poplar) in Eastern Austria, and produce methanol around 0.4 is an element of(-1). Moreover, heat production could lower the methanol cost by 12%.

  • 4.
    Leduc, Sylvain
    et al.
    LTH; International Institute for Applied System Analysis, A-2361 Laxenburg, Austria.
    Starfelt, Fredrik
    Mälardalen University.
    Dotzauer, Erik
    Mälardalen University.
    Kindermann, G.
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    McCallum, I.
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Obersteiner, M.
    International Institute for Applied System Analysis, A-2361 Laxenburg, Austria.
    Lundgren, Joakim
    Luleå tekniska universitet, Energivetenskap.
    Optimal location of lignocellulosic ethanol refineries with polygeneration in Sweden2010Inngår i: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 35, nr 6, s. 2709-2716Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The integration of ethanol production with combined heat and power plants is considered in this paper. An energy balance process model has been used to generate data for the production of ethanol, electricity, heat and biogas. The geographical position of such plants becomes of importance when using local biomass and delivering transportation fuel and heat. An optimization model has thus been used to determine the optimal locations for such plants in Sweden. The entire energy supply and demand chain from biomass outtake to gas stations filling is included in the optimization. Input parameters have been studied for their influence on both the final ethanol cost and the optimal locations of the plants. The results show that the biomass cost, biomass availability and district heating price are crucial for the positioning of the plant and the ethanol to be competitive against imported ethanol. The optimal location to set up polygeneration plants is demonstrated to be in areas where the biomass cost is competitive and in the vicinity of small to medium size cities. Carbon tax does not influence the ethanol cost, but solicits the production of ethanol in Sweden, and changes thus the geography of the plant locations.

  • 5.
    Wetterlund, Elisabeth
    et al.
    Luleå tekniska universitet, Energivetenskap.
    Lundgren, Joakim
    Luleå tekniska universitet, Energivetenskap.
    Leduc, Sylvain
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Pettersson, Karin
    Chalmers University of Technology, Department of Energy and Environment, Division of Heat and Power Technology.
    Hoffstedt, Christian
    Innventia AB, SE-114 86 Stockholm, Sweden.
    Torén, Johan
    SP Technical Research Institute of Sweden.
    Kindermann, Georg
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Lundmark, Robert
    Luleå tekniska universitet, Samhällsvetenskap.
    Dotzauer, Erik
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Optimal localisation of second generation biofuel production in Sweden2012Konferansepaper (Fagfellevurdert)
    Fulltekst (pdf)
    fulltext
  • 6.
    Wetterlund, Elisabeth
    et al.
    Luleå tekniska universitet, Energivetenskap.
    Pettersson, Karin
    Chalmers University of Technology.
    Lundgren, Joakim
    Luleå tekniska universitet, Energivetenskap.
    Leduc, Sylvain
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Hoffstedt, Christian
    Innventia AB, SE-114 86 Stockholm, Sweden.
    Torén, Johan
    SP Technical Research Institute of Sweden.
    Kindermann, Georg
    International Institute for Applied System Analysis (IIASA), Laxenburg.
    Lundmark, Robert
    Luleå tekniska universitet, Samhällsvetenskap.
    Dotzauer, Erik
    Mälardalen University.
    Optimal localisation of second generation biofuel production: the role of process integration in system studies2013Konferansepaper (Fagfellevurdert)
    Fulltekst (pdf)
    fulltext
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