Optimal locations of bioenergy facilities, biomass spatial availability, logistics costs and GHG (greenhouse gas) emissions: a case study on electricity productions in South Italy

An integrated approach combining procedures based on Geographical Information System together with Multi-Criteria Analysis (GIS-MCA) was developed to tackle the logistics of biomass-to-electricity in the area of Apulia, Basilicata, and Campania in Southern Italy. The spatial availability of straw (from durum wheat) and tree-pruning (from olive-grove and vineyard) was assessed. A number of appropriate locations were detected applying a set of land suitability criteria. Alternative scenarios with an increasing number of biomass plants were developed; optimal plant locations were found for each scenario by minimizing the total transportation distance. Logistics costs and the corresponding life-cycle GHG (greenhouse gas) emissions were estimated for each selected biomass plant. The unit cost of supply ranged from 21 to 23 € t−1 for straw alone to 22 to 27 € t−1 for combined straw and pruning. The logistics GHG emissions ranged from 9 to 28 g CO2-e MJ−1 electricity at a minimum and maximum round transportation distances of 40 and 86 km, respectively. The effects of logistics costs and GHG emissions were discussed. The GIS-MCA methodology connected with the logistics cost model and the associated GHG analysis proved to be very useful in identifying optimal plant locations with respect to the minimization of logistics costs and GHG emissions.

[1]  Amit Kumar,et al.  Optimal siting and size of bioenergy facilities using geographic information system , 2012 .

[2]  Stefan Seuring,et al.  Supply chain and logistics issues of bio-energy production. , 2011 .

[3]  Philipp Grundmann,et al.  Anaerobic Treatment of Palm Oil Mill Effluents: Potential Contribution to Net Energy Yield and Reduction of Greenhouse Gas Emissions from Biodiesel Production , 2014 .

[4]  Norman R. Scott,et al.  Siting analysis of farm-based centralized anaerobic digester systems for distributed generation using GIS , 2005 .

[5]  Á. Pérez-Navarro,et al.  Multicriteria assessment in GIS environments for siting biomass plants , 2013 .

[6]  Dana M. Johnson,et al.  A GIS-based method for identifying the optimal location for a facility to convert forest biomass to biofuel , 2011 .

[7]  Raili Kajaste,et al.  Chemicals from biomass - managing greenhouse gas emissions in biorefinery production chains - a review. , 2014 .

[8]  Jiangjiang Wang,et al.  Review on multi-criteria decision analysis aid in sustainable energy decision-making , 2009 .

[9]  Shabbir H. Gheewala,et al.  Economic feasibility assessment of rice straw utilization for electricity generating through combustion in Thailand , 2011 .

[10]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[11]  C. Gasol,et al.  Environmental assessment: (LCA) and spatial modelling (GIS) of energy crop implementation on local scale , 2011 .

[12]  Lin Tang,et al.  Combining AHP with GIS in synthetic evaluation of eco-environment quality - A case study of Hunan Province, China , 2007 .

[13]  G. Richard,et al.  Paving the way for sustainable bioenergy in Europe: Technological options and research avenues for large-scale biomass feedstock supply , 2014 .

[14]  Ignacio E. Grossmann,et al.  Multi-period synthesis of optimally integrated biomass and bioenergy supply network , 2014, Comput. Chem. Eng..

[15]  Søren Knudsen Kær,et al.  Grate-firing of biomass for heat and power production , 2008 .

[16]  Wim Turkenburg,et al.  Technological learning in bioenergy systems , 2006 .

[17]  Cheng-Dar Yue,et al.  Decision support system for exploiting local renewable energy sources: A case study of the Chigu area of southwestern Taiwan , 2007 .

[18]  Timothy A. Volk,et al.  Multi criteria analysis for bioenergy systems assessments , 2009 .

[19]  A. J. Toft,et al.  A techno-economic comparison of power production by biomass fast pyrolysis with gasification and combustion , 2002 .

[20]  C. Potolias,et al.  A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece , 2013 .

[21]  D. Blackwood,et al.  GIS-based location suitability of decentralized, medium scale bioenergy developments to estimate transport CO2 emissions and costs , 2012 .

[22]  A. Faaij,et al.  Efficiency and economy of wood-fired biomass energy systems in relation to scale regarding heat and power generation using combustion and gasification technologies , 2001 .

[23]  Ana Cláudia Dias,et al.  Comparative environmental and energy profiles of potential bioenergy production chains in Southern Europe , 2014 .

[24]  R. Cárdenas,et al.  Methodology based on Geographic Information Systems for biomass logistics and transport optimisation , 2009 .

[25]  Dirk Cattrysse,et al.  Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review , 2014 .

[26]  K. Hiscock,et al.  A GIS based assessment of bioenergy potential in England within existing energy systems , 2013 .

[27]  Antonio Boggia,et al.  Measuring sustainable development using a multi-criteria model: a case study. , 2010, Journal of environmental management.

[28]  M. P. Morales,et al.  Biomass logistics: Financial & environmental costs. Case study: 2 MW electrical power plants , 2013 .

[29]  Brian Caulfield,et al.  Examining the impact of carbon price changes under a personalised carbon trading scheme for transport , 2013 .

[30]  R. Minciardi,et al.  Planning woody biomass logistics for energy production: A strategic decision model , 2009 .

[31]  Xiaohui Zhang,et al.  Evaluation of a biomass drying process using waste heat from process industries: A case study , 2012 .

[32]  Shabbir H. Gheewala,et al.  Logistics cost analysis of rice straw for biomass power generation in Thailand , 2011 .

[33]  Sotirios Karellas,et al.  Policy plan for the use of biomass and biofuels in Greece Part I: Available biomass and methodology , 2009 .

[34]  L. Pelkmans,et al.  Determining potential locations for biomass valorization using a macro screening approach , 2012 .

[35]  Emmanuel Kakaras,et al.  Techno-economic analysis of the energy exploitation of biomass residues in Heraklion Prefecture—Crete , 2009 .

[36]  Vincent R. Gray.  Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[37]  Vincenzo Franzitta,et al.  Assessment of bioenergy potential in Sicily: A GIS-based support methodology , 2009 .

[38]  Anthony V. Bridgwater,et al.  Technoeconomic assessment of biomass to energy , 1995 .

[39]  Natascia Magagnotti,et al.  Technology alternatives for tapping the pruning residue resource. , 2013, Bioresource technology.