Towards a sustainable capacity expansion of the Danish biogas sector |
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| Institution: | 1. University of Copenhagen, Institute of Food and Resource Economics, Rolighedsvej 25, 1958 Frederiksberg C, Denmark;2. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), PO Box 217, 7500 AE Enschede, The Netherlands;3. University of Copenhagen, Department of Geosciences and Natural Resource Management, Rolighedsvej 23, 1958 Frederiksberg C, Denmark;1. Institute of Food and Resource Economics, University of Copenhagen, Rolighedsvej 25, 1958 Frederikberg C, Denmark;2. Department of Geosciences and Natural Resource Management, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark;1. Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA;2. Department of Agricultural Economics and Agribusiness, Louisiana State University (LSU) and LSU AgCenter, Baton Rouge, LA 70803, USA;1. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, School of Geography and Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, 210044, China;2. Centre for Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark;3. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400044, China;4. CESQA (Quality and Environmental Research Centre), Department of Industrial Engineering, University of Padova, Via Marzolo 9, 35131, Padova, Italy;5. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;6. College of Architecture and Urban Planning, Tongji University, No.1239, Siping Road, Shanghai, China;7. Shanghai Tongji Urban Planning & Design Institute, No. 1111, North Zhongshan Road, Shanghai, China;8. Institute of Environmental Sciences, CML, Leiden University, Einsteinweg 2, 2333 CC Leiden, The Netherlands;9. Center for Social and Environmental Systems Research, National Institute for Environmental Studies (NIES), 16-2 Onogawa, Tsukuba-City, Ibaraki 305-8506, Japan;1. Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, University of Udine, 33100 Udine, Italy;2. International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria;3. Mälardalen University, P.O. Box 883, SE – 72123 Västerås, Sweden |
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| Abstract: | Promotion of bioenergy production is an important contemporary topic around the world. Vast amounts of research are allocated towards analysing and understanding bioenergy systems, which are by nature multi-faceted. Despite a focus on the deployment of multi-criteria decision-making (MCDM) methods for planning of bioenergy systems, only little research has addressed the location component of bioenergy facility planning. In this paper the authors develop a model for sustainable capacity expansion of the Danish biogas sector allowing for an identification and prioritization of suitable locations for biogas production. The model builds on a framework for spatial planning and decision making through the application of spatial multi-criteria evaluation (SMCE). The paper is structured around a case study including four Danish municipalities in order to demonstrate the power of the spatial multi-criteria evaluation model. The model allows a two level comparison of suitability, within municipalities as well as between municipalities. Criteria weights for generation of alternatives are obtained through an analytical hierarchy process (AHP) analysis, carried out among a group of Danish central governmental decision makers. We find that resource and production economic criteria are given highest priority followed by environmental and social criteria. In all four case study municipalities, the identified alternatives are compared through incorporating economic, environmental and social criteria. It is found that 4–6% of the municipal area is suitable for biogas facility location and among the best performing sustainable locations the potential of reducing overall production costs is 3% as compared with current biogas plants. The results of this paper can provide support to central governmental decision makers, regarding regional allocation of subsidies in the country. Likewise local decision makers can obtain important information for planning and decision support, allowing for a more inclusive and transparent planning procedure. |
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| Keywords: | Spatial multi-criteria evaluation (SMCE) Location planning Bioenergy Biogas ArcGIS ILWIS |
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