Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities

Producing energy with biomass feedstocks as a renewable energy source can contribute to the mitigation of climate change through direct CO 2 sequestration and higher CO 2 -emitting fuel replacement. Here, the correct location of a biomass power facility can be considered as a critical position due to their geographical and spatial characteristic. This research presents a novel approach involving a geographic information system (GIS) location and its integration scenario analysis with the consideration of biomass feedstocks and climate change in agroforestry systems, the agro-silvo-pastoral system (ASPS), of a Spanish case study. A combined participatory operative approach, that is, fuzzy-decision-making trial and evaluation laboratory (F-DEMATEL) with simple additive weighting (SAW) and sensitivity analysis in various disciplines and criteria, is applied by professionals. In particular, an analysis of five biomass power facilities in the area assessed by the methodology found that only one facility (BPF4) is located in the suitable area. Among five integration scenarios (A to E) as the likelihood test by the stakeholders, scenario E (suitability layer) was most supported—that is, it was selected as the most suitability map—while scenario D (general geophysical layer) was least supported, in that the results encapsulated foreseeable problems derived from the effects. Hence, the validation of the methodology proposed can be employed as a decision-making tool to support proper sustainable planning and development of a biomass power facility under the impact of climate change.

[1]  Jin Su Jeong,et al.  Using a VGI and GIS-Based Multicriteria Approach for Assessing the Potential of Rural Tourism in Extremadura (Spain) , 2016 .

[2]  Jin Su Jeong,et al.  Comparison of regional planning strategies: Countywide general plans in USA and territorial plans in Spain , 2013 .

[3]  Tamás Rapcsák,et al.  On sensitivity analysis for a class of decision systems , 1996, Decis. Support Syst..

[4]  Dino Musmarra,et al.  Biofuels Production by Biomass Gasification: A Review , 2018 .

[5]  Jin Su Jeong,et al.  A methodology to assess the connectivity caused by a transportation infrastructure: Application to the high-speed rail in Extremadura , 2015 .

[6]  Jin Su Jeong,et al.  A site planning approach for rural buildings into a landscape using a spatial multi-criteria decision analysis methodology , 2013 .

[7]  Hermann Hofbauer,et al.  Experimental investigations of hydrogen production from CO catalytic conversion of tar rich syngas by biomass gasification , 2016 .

[8]  Optimal location of a biomass power plant in the province of Granada analyzed by multicriteria evaluation using appropriate Geographic Information System according to the Analytic Hierarchy Process , 2010 .

[9]  Amin Vafadarnikjoo,et al.  Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain , 2015, Expert Syst. Appl..

[10]  Jin Su Jeong,et al.  Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability , 2017 .

[11]  Kamalakanta Sahoo,et al.  GIS-based biomass assessment and supply logistics system for a sustainable biorefinery: a case study with cotton stalks in the Southeastern US. , 2016 .

[12]  Michela Robba,et al.  Optimizing forest biomass exploitation for energy supply at a regional level , 2004 .

[13]  Edmundas Kazimieras Zavadskas,et al.  Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: a new hierarchical framework , 2016 .

[14]  Jin Su Jeong,et al.  Planning of rural housings in reservoir areas under (mass) tourism based on a fuzzy DEMATEL-GIS/MCDA hybrid and participatory method for Alange, Spain , 2016 .

[15]  Vladimir Strezov,et al.  Sustainability considerations for electricity generation from biomass , 2010 .

[16]  Hans-Martin Füssel,et al.  An updated assessment of the risks from climate change based on research published since the IPCC Fourth Assessment Report , 2009 .

[17]  M. Ha-Duong,et al.  Climate change 2014 - Mitigation of climate change , 2015 .

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

[19]  P. Tassinari,et al.  Dealing with agriculture, environment and landscape in spatial planning: A discussion about the Italian case study , 2013 .

[20]  José P. Paredes-Sánchez,et al.  Assessment of forest bioenergy potential in a coal-producing area in Asturias (Spain) and recommendations for setting up a Biomass Logistic Centre (BLC) , 2016 .

[21]  Jin Su Jeong,et al.  Identifying priority areas for rural housing development using the participatory multi-criteria and contingent valuation methods in Alange reservoir area, Central Extremadura (Spain) , 2017 .

[22]  Ulf-Dietrich Reips Standards for Internet-based experimenting. , 2002, Experimental psychology.

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

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

[25]  Christine E. Dunn,et al.  Geo-information tools for participatory spatial planning: Fulfilling the criteria for ‘good’ governance? , 2012 .

[26]  Warren B. Cohen,et al.  Assessment of forest biomass for use as energy. GIS-based analysis of geographical availability and locations of wood-fired power plants in Portugal , 2010 .

[27]  David Styles,et al.  Energy crops in Ireland: Quantifying the potential life-cycle greenhouse gas reductions of energy-crop electricity , 2007 .

[28]  Nicolás Ruiz-Reyes,et al.  A Honey Bee Foraging approach for optimal location of a biomass power plant , 2010 .

[29]  Berien Elbersen,et al.  Atlas of EU biomass potentials: spatially detailed and quantified overview of EU biomass potential taking into account the main criteria determining biomass availability from different sources , 2012 .

[30]  B. Gillham Developing a Questionnaire , 2000 .

[31]  Borja Velázquez-Martí,et al.  Mathematical algorithms to locate factories to transform biomass in bioenergy focused on logistic network construction , 2010 .

[32]  F. Fantozzi,et al.  Public–private partnerships value in bioenergy projects: Economic feasibility analysis based on two case studies , 2014 .

[33]  Jin Su Jeong,et al.  An operational method to supporting siting decisions for sustainable rural second home planning in ecotourism sites , 2014 .

[34]  Pietro Bartocci,et al.  Review of public–private partnerships in agro-energy districts in Southern Europe: The cases of Greece and Italy , 2014 .

[35]  F. Fantozzi,et al.  Agro-energy districts contributing to environmental and social sustainability in rural areas: Evaluation of a local public–private partnership scheme in Greece , 2014 .

[36]  Jin Su Jeong,et al.  A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain , 2017 .