Optimal locations for second generation Fischer Tropsch biodiesel production in Finland

A country level spatially explicit mixed integer linear programming model has been applied to identify the optimal Fischer Tropsch biodiesel production plants locations in Finland. The optimal plant locations with least cost options are identified by minimizing the complete costs of the supply chain with respect to feedstock supply (energywood, pulpwood, sawmill residuals, wood imports), industrial competition (pulp mill, sawmill, combined heat and power plants, pellet industries) and energy demand (biodiesel, heat, biofuel import). Model results show that five biodiesel production plants of 390 MWfeedstock are needed to be built to meet the 2020 renewable energy target in transport (25.2 PJ). Given current market conditions, the Fischer Tropsch biodiesel can be produced at a cost around 18 €/GJ including by-products income. Furthermore, the parameter sensitivity analysis shows that the production plant parameters such as investment costs and conversion efficiency are found to have profound influence on the biodiesel cost, and then followed by feedstock cost and plant size. In addition, the variations in feedstock costs and industrial competition determine the proportion of feedstock resource allocation to the production plants. The results of this study could help decision makers to strategically locate the FT-biodiesel production plants in Finland.

[1]  Johannes Schmidt,et al.  Potential of biomass‐fired combined heat and power plants considering the spatial distribution of biomass supply and heat demand , 2010 .

[2]  Sylvain Leduc,et al.  Location of a biomass based methanol production plant: A dynamic problem in northern Sweden , 2010 .

[3]  C. Adjiman,et al.  A spatially explicit whole-system model of the lignocellulosic bioethanol supply chain: an assessment of decentralised processing potential , 2008, Biotechnology for biofuels.

[4]  Sandra Duni Eksioglu,et al.  Analyzing the design and management of biomass-to-biorefinery supply chain , 2009, Comput. Ind. Eng..

[5]  Paavo Pelkonen,et al.  Optimal Locations for Methanol and CHP Production in Eastern Finland , 2011, BioEnergy Research.

[6]  Elisabeth Wetterlund,et al.  Optimal localisation of biofuel production on a European scale , 2012 .

[7]  André Faaij,et al.  Production of FT transportation fuels from biomass; technical options, process analysis and optimisation, and development potential , 2004 .

[8]  E. Tomppo Multi-source national forest inventory of Finland. , 1994 .

[9]  Hanif D. Sherali,et al.  A linear programming approach for designing a herbaceous biomass delivery system , 1997 .

[10]  Joan M. Ogden,et al.  From waste to hydrogen: An optimal design of energy production and distribution network , 2010 .

[11]  A. Faaij,et al.  Exploration of the possibilities for production of Fischer Tropsch liquids and power via biomass gasification , 2002 .

[12]  Risto Ojansuu,et al.  Biomass functions for Scots pine, Norway spruce and birch in Finland , 2007 .

[13]  Ilias P. Tatsiopoulos,et al.  An optimization model for multi-biomass tri-generation energy supply , 2009 .

[14]  Geoffrey P. Hammond,et al.  Development of biofuels for the UK automotive market , 2008 .

[15]  J. Repola Biomass equations for Scots pine and Norway spruce in Finland , 2009 .

[16]  J. Repola Biomass equations for birch in Finland , 2008 .

[17]  Esa Kurkela,et al.  Process evaluations and design studies in the UCG project 2004-2007 , 2008 .

[18]  André Faaij,et al.  Bio-energy in Europe: changing technology choices , 2006 .

[19]  Bernd Möller,et al.  Conversion of individual natural gas to district heating: Geographical studies of supply costs and consequences for the Danish energy system , 2010 .

[20]  Ian McCallum,et al.  Optimizing biodiesel production in India , 2009 .

[21]  M. Himmel,et al.  Welcome to Biotechnology for Biofuels , 2008, Biotechnology for biofuels.

[22]  André Faaij,et al.  Renewable energy targets, forest resources, and second‐generation biofuels in Finland , 2011 .

[23]  Sylvain Leduc,et al.  Development of an optimization model for the location of biofuel production plants , 2009 .

[24]  Lazaros G. Papageorgiou,et al.  Optimization-Based Approaches for Bioethanol Supply Chains , 2011 .

[25]  G. Nemhauser,et al.  Integer Programming , 2020 .

[26]  A. Faaij,et al.  Fischer–Tropsch diesel production in a well-to-wheel perspective: a carbon, energy flow and cost analysis , 2009 .

[27]  E. Gnansounou,et al.  GIS-based approach for defining bioenergy facilities location: A case study in Northern Spain based on marginal delivery costs and resources competition between facilities , 2008 .

[28]  Yueyue Fan,et al.  Multistage Optimization of the Supply Chains of Biofuels , 2010 .

[29]  Michael Obersteiner,et al.  Optimal location of wood gasification plants for methanol production with heat recovery , 2008 .

[30]  André Faaij,et al.  Greenhouse gas footprints of different biofuel production systems , 2010 .

[31]  Mônica A. Haddad,et al.  A GIS methodology to identify potential corn stover collection locations , 2008 .

[32]  K. Paustian,et al.  Energy and Environmental Aspects of Using Corn Stover for Fuel Ethanol , 2003 .

[33]  Timo Tahvanainen,et al.  Supply chain cost analysis of long-distance transportation of energy wood in Finland , 2011 .

[34]  C. Noon,et al.  GIS-Based Analysis of Marginal Price Variation with an Application in the Identification of Candidate Ethanol Conversion Plant Locations , 2002 .

[35]  Matthew J. Realff,et al.  Design of biomass processing network for biofuel production using an MILP model , 2011 .