Determining potential locations for biomass valorization using a macro screening approach

Abstract European policy states that by 2020 at least 20% of final energy consumption should come from renewable energy sources. Biomass as a renewable energy source cannot be disregarded in order to attain this target. In this study a macro screening approach is developed to determine potential locations for biomass valorization in a specified region. The approach consists of five steps: (1) criteria determination, (2) data gathering, (3) weight assignment, (4) final score, (5) spatial representation. The resulting outcome provides a first well balanced scan of the possibilities for energy production using regional biomass. This way policy makers and investors can be supported and motivated to study the possibilities of building energy production plants at specific locations in more detail, which can be described as a ‘micro-screening’. In our case study the approach is applied to determine the potentially interesting locations to establish a biomass project. The region has been limited to the forty-four communities in the province of Limburg (Belgium). The macro screening approach has shown to be very effective since the amount of interesting locations has been reduced drastically.

[1]  Markus Starkl,et al.  Feasibility versus sustainability in urban water management. , 2004, Journal of environmental management.

[2]  Reinhard Madlener,et al.  Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis , 2009, Eur. J. Oper. Res..

[3]  Semida Silveira How to Realize the Bioenergy Prospects , 2005 .

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

[5]  M. Keane,et al.  Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets , 1996 .

[6]  Laurence Turcksin,et al.  A multi-actor multi-criteria framework to assess the stakeholder support for different biofuel options: The case of Belgium , 2011 .

[7]  B. Fischhoff,et al.  KNOWING WHAT YOU WANT: MEASURING LABILE VALUES , 1988 .

[8]  D. Voivontas,et al.  Aessessment of biomass potential for power production: a GIS based method , 2001 .

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

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

[11]  Steven Van Passel,et al.  The economics of enhanced landfill mining: private and societal performance drivers , 2013 .

[12]  Idania Valdez-Vazquez,et al.  Distribution and potential of bioenergy resources from agricultural activities in Mexico , 2010 .

[13]  Agis M. Papadopoulos,et al.  Application of the multi-criteria analysis method Electre III for the optimisation of decentralised energy systems , 2008 .

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

[15]  Hiroya Seki,et al.  Two levels decision system for efficient planning and implementation of bioenergy production. , 2007 .

[16]  Florent Joerin,et al.  Land management with GIS and multicriteria analysis , 1998 .

[17]  C. Hermans,et al.  A quick scan tool to assess the relative prospects of European regions for sustainable agriculture in a liberal market , 2010 .

[18]  Harald Vacik,et al.  Developing criteria and indicators for evaluating sustainable forest management: A case study in Kyrgyzstan , 2012 .

[19]  Jianbang Gan,et al.  Supply of biomass, bioenergy, and carbon mitigation: Method and application , 2007 .

[20]  J. Mysiak Consistency of the Results of Different MCA Methods: A Critical Review , 2006 .

[21]  Giorgio Guariso,et al.  A GIS-based approach to evaluate biomass potential from energy crops at regional scale , 2010, Environ. Model. Softw..

[22]  U. Fernandes,et al.  Potential of biomass residues for energy production and utilization in a region of Portugal , 2010 .

[23]  Wim Turkenburg,et al.  Exploration of the land potential for the production of biomass for energy in the Netherlands. , 1998 .

[24]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[25]  T. Buchholz,et al.  A participatory systems approach to modeling social, economic, and ecological components of bioenergy , 2007 .

[26]  R Lahdelma,et al.  Using Multicriteria Methods in Environmental Planning and Management , 2000, Environmental management.

[27]  M. Browne,et al.  Logistics management and costs of biomass fuel supply , 1998 .

[28]  Bart Muys,et al.  Assessing the sustainability of forest management: an application of multi-criteria decision analysis to community forests in northern Ethiopia. , 2010, Journal of environmental management.

[29]  Raisa Mäkipää,et al.  Biomass and stem volume equations for tree species in Europe , 2005, Silva Fennica Monographs.

[30]  K. McCormick Communicating bioenergy: a growing challenge , 2010 .

[31]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[32]  Calliope Panoutsou,et al.  Biomass supply in EU27 from 2010 to 2030 , 2009 .

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

[34]  André Faaij,et al.  Biomass production potentials in Central and Eastern Europe under different scenarios , 2007 .

[35]  Lars J Nilsson,et al.  Assessment of the potential biomass supply in Europe using a resource-focused approach , 2004 .

[36]  Julia I. Briedis,et al.  Biomass retention following whole-tree, energy wood harvests in central Maine: Adherence to five state guidelines , 2011 .

[37]  Norberto Fueyo,et al.  The potential for electricity generation from crop and forestry residues in Spain , 2010 .

[38]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

[39]  Xia Li,et al.  Using spatial information technologies to select sites for biomass power plants : A case study in Guangdong Province, China , 2008 .

[40]  Per-Anders Hansson,et al.  Influence of various machinery combinations, fuel proportions and storage capacities on costs for co-handling of straw and reed canary grass to district heating plants. , 2001 .

[41]  D J van der Zee,et al.  Assessing the market opportunities of landfill mining. , 2004, Waste management.

[42]  A. Faaij,et al.  European biomass resource potential and costs , 2010 .

[43]  Michael Freudenberg,et al.  Composite Indicators of Country Performance: A Critical Assessment , 2003 .

[44]  T. Stewart A CRITICAL SURVEY ON THE STATUS OF MULTIPLE CRITERIA DECISION MAKING THEORY AND PRACTICE , 1992 .

[45]  D. Thrän,et al.  Global biomass potentials — Resources, drivers and scenario results , 2010 .

[46]  Benjamin F. Hobbs,et al.  Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods , 2000 .

[47]  W J De Lange,et al.  Incorporating stakeholder preferences in the selection of technologies for using invasive alien plants as a bio-energy feedstock: applying the analytical hierarchy process. , 2012, Journal of environmental management.

[48]  Sh. Karaj,et al.  Analysis of biomass residues potential for electrical energy generation in Albania , 2010 .

[49]  Mariya A. Sodenkamp,et al.  The Analytic Hierarchy and Analytic Network Measurement Processes: The Measurement of Intangibles Decision Making under Benefits, Opportunities, Costs and Risks , 2010 .

[50]  Kirby Calvert,et al.  Geomatics and bioenergy feasibility assessments: Taking stock and looking forward , 2011 .

[51]  Giovanni Zurlini,et al.  Spatially explicit assessment of local biomass availability for distributed biogas production via anaerobic co-digestion – Mediterranean case study , 2012 .

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

[53]  Rodolphe Palm,et al.  Tables de cubage des arbres et des peuplements forestiers. , 1985 .

[54]  A Karagiannidis,et al.  Waste biomass-to-energy supply chain management: a critical synthesis. , 2010, Waste management.

[55]  Benjamin F. Hobbs,et al.  Building public confidence in energy planning : a multimethod MCDM approach to demand-side planning at BC gas , 1997 .

[56]  B. English,et al.  A Geographic Information System-based modeling system for evaluating the cost of delivered energy crop feedstock , 2000 .

[57]  Klaus Skytte,et al.  Electricity from biomass in the European Union - with or without biomass import , 2006 .

[58]  Steven Letendre,et al.  Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning , 2010 .

[59]  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 .

[60]  Benjamin F. Hobbs,et al.  Does choice of multicriteria method matter? An experiment in water resources planning , 1992 .

[61]  E. Løken Use of multicriteria decision analysis methods for energy planning problems , 2007 .

[62]  D. Horst,et al.  National renewable energy policy and local opposition in the UK: the failed development of a biomass electricity plant , 2004 .

[63]  E. Forman,et al.  Aggregating individual judgments and priorities with the analytic hierarchy process , 1998, European Journal of Operational Research.

[64]  A. Faaij,et al.  A bottom-up assessment and review of global bio-energy potentials to 2050 , 2007 .

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

[66]  G. Van Huylenbroeck,et al.  Analysing crop choice of Philippine vegetable farmers with multicriteria analysis , 1998 .