Integration of next-generation biofuel production in the Swedish forest industry – A geographically explicit approach

The geographic locations of biofuel production facilities should be strategically chosen in order to minimise the total cost of using biofuels. Proximity to biomass resources, possibilities for integration, and distance to biofuel users are aspects that need to be considered. In this paper, the geographically explicit optimisation model BeWhere Sweden was used to investigate the future production of next-generation biofuels from forest biomass in Sweden. A focus was placed on the integration of biofuel production with the existing forest industry, as well as on how different parameters affect biofuel production costs, the choice of technologies and biofuels, and the localisation of new biofuel plants. Six examples of different biofuel routes were considered. A methodology was developed considering detailed, site-specific conditions for potential host industries. The results show that the cost of biomass and the biofuel plant capital cost generally dominate the biofuel cost, but the cost for biomass transportation and biofuel distribution can also have a significant impact. DME produced via black liquor gasification (naturally integrated with chemical pulp mills) and SNG produced via solid biomass gasification (mainly integrated with sawmills), dominate the solutions. The distribution of these technology cases varies depending on a number of parameters, including criteria for sizing biofuel plants, the electricity price, the biofuel distribution cost and the cost of biomass, and is sensitive to changes in these parameters. Generally, plants with low specific investment costs (i.e., high biofuel production) and/or plants with low specific biomass transportation costs occur most frequently in the solutions. Because these properties often vary significantly among biofuel production facilities at different host industry sites of the same type, the results show the advantage of including site-specific data in this type of model.

[1]  Michael Obersteiner,et al.  Methanol production by gasification using a geographically explicit model , 2009 .

[2]  Elisabeth Wetterlund,et al.  Optimal use of forest residues in Europe under different policies—second generation biofuels versus combined heat and power , 2013 .

[3]  Stefano Consonni,et al.  A gasification-based biorefinery for the pulp and paper industry , 2009 .

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

[5]  Niklas Berglin,et al.  Ethanol from Nordic wood raw material by simplified alkaline soda cooking pre-treatment , 2013 .

[6]  Leif Gustavsson,et al.  Regional production and utilization of biomass in Sweden , 1996 .

[7]  Jim Andersson,et al.  Methanol production via pressurized entrained flow biomass gasification – Techno-economic comparison of integrated vs. stand-alone production , 2014 .

[8]  Anders Wingren,et al.  Ethanol from Softwood - Techno-Economic Evaluation for Development of the Enzymatic Process , 2005 .

[9]  T. Berntsson,et al.  Techno-economic analysis of a kraft pulp-mill-based biorefinery producing both ethanol and dimethyl ether , 2013 .

[10]  Simon Harvey,et al.  Comparison of black liquor gasification with other pulping biorefinery concepts – Systems analysis of economic performance and CO2 emissions , 2012 .

[11]  Hasan Jameel,et al.  Integration of pulp and paper technology with bioethanol production , 2013, Biotechnology for Biofuels.

[12]  Karin Pettersson,et al.  Systems analysis of integrating biomass gasification with pulp and paper production Effects on eco , 2011 .

[13]  P. Verburg,et al.  Spatially explicit modelling of biofuel crops in Europe , 2011 .

[14]  Anders Lundström,et al.  Marginalkostnader för skörd av grot och stubbar från föryngringsavverkningar i Sverige , 2009 .

[15]  Martin Börjesson,et al.  Modelling transport fuel pathways: Achieving cost-effective oil use reduction in passenger cars in Sweden , 2012 .

[16]  Simon Harvey,et al.  Evaluation of opportunities for heat integration of biomass-based Fischer–Tropsch crude production at Scandinavian kraft pulp and paper mill sites , 2013 .

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

[18]  Stefan Heyne,et al.  Bio-SNG from Thermal Gasification - Process Synthesis, Integration and Performance , 2013 .

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

[20]  Johannes Schmidt,et al.  Cost-effective CO2 emission reduction through heat, power and biofuel production from woody biomass: A spatially explicit comparison of conversion technologies , 2010 .

[21]  A. Näyhä,et al.  Strategic change in the forest industry towards the biorefining business , 2014 .

[22]  Elisabeth Wetterlund,et al.  Supply assessment of forest biomass – A bottom-up approach for Sweden , 2015 .

[23]  Paavo Pelkonen,et al.  Optimal locations for second generation Fischer Tropsch biodiesel production in Finland , 2014 .

[24]  Per Sassner Lignocellulosic Ethanol Production Based on Steam Pretreatment and SSF: Process Development through Experiments and Simulations , 2007 .

[25]  Elisabeth Wetterlund,et al.  Optimal localisation of next generation biofuel production in Sweden – Part II , 2013 .

[26]  Paul Stuart,et al.  Integrating bioethanol production into an integrated kraft pulp and paper mill: techno-economic assessment. , 2009 .

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

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

[29]  Niklas Berglin,et al.  Second generation ethanol through alkaline fractionation of pine and aspen wood , 2010 .

[30]  Martin Braun,et al.  Biorefineries' impacts on the Austrian forest sector: A system dynamics approach , 2015 .

[31]  Pekka Ahtila,et al.  ENERGY EFFICIENCY IN BIOREFINERIES - A CASE STUDY OF FISCHER-TROPSCH DIESEL PRODUCTION IN CONNECTION WITH A PULP AND PAPER MILL , 2011 .

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

[33]  Sylvain Leduc,et al.  Cost-effective policy instruments for greenhouse gas emission reduction and fossil fuel substitution through bioenergy production in Austria. , 2011 .

[34]  W. A. Marvin,et al.  Economic Optimization of a Lignocellulosic Biomass-to-Ethanol Supply Chain , 2012 .

[35]  S. Fuss,et al.  BECCS in South Korea—Analyzing the negative emissions potential of bioenergy as a mitigation tool , 2014 .

[36]  Thore Berntsson,et al.  Integration of biomass gasification with a Scandinavian mechanical pulp and paper mill , 2012 .