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Geomatics and bioenergy feasibility assessments: Taking stock and looking forward

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  • Calvert, K.

Abstract

Renewable energy resources are spatially distributed, and their potential to contribute to societal energy supplies is dependent on local geographic nuances. To provide relevant and robust baseline information, these spatial qualities must be considered when assessing resource availability or technology performance. This is the impetus behind the application of geomatics in the field of renewable energy. Given that each renewable energy source option has unique geographic qualities, a one-size-fits-all analytical approach is not possible. It is thus important to examine how the geographic qualities of specific renewable energy options are managed in the methodological approaches that are used to assess them. To this end, this paper reviews the ways in which geomatics has been used to provide geographic information about bioenergy feasibility, and to solve fundamental bioenergy measurement problems in terms of distinguishing actual from potential feedstock, quantifying multiple biomass supply options, and assessing the scope of conversion platforms. Particular attention is given to data quality, the commensurability of data models and the energy sources they attempt to visualize and analyze, the methods used for facility location decisions, and the capacity to perform site-specific analyses of technology performance. The paper also discusses the ways that the 'static' nature of geographic information can be overcome to take seriously the temporal issues that are related to bioenergy feasibility. Moving forward, bioenergy assessments must begin with a comprehensive resource assessment and consider a range of conversion options. This baseline information will enable bioenergy to be taken seriously in energy investment decisions.

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  • Calvert, K., 2011. "Geomatics and bioenergy feasibility assessments: Taking stock and looking forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1117-1124, February.
  • Handle: RePEc:eee:rensus:v:15:y:2011:i:2:p:1117-1124
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    References listed on IDEAS

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    1. Van Hoesen, John & Letendre, Steven, 2010. "Evaluating potential renewable energy resources in Poultney, Vermont: A GIS-based approach to supporting rural community energy planning," Renewable Energy, Elsevier, vol. 35(9), pages 2114-2122.
    2. Bai, Yun & Hwang, Taesung & Kang, Seungmo & Ouyang, Yanfeng, 2011. "Biofuel refinery location and supply chain planning under traffic congestion," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 162-175, January.
    3. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    4. Ramachandra, T.V., 2010. "Mapping of fuelwood trees using geoinformatics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 642-654, February.
    5. Rentizelas, Athanasios A. & Tolis, Athanasios J. & Tatsiopoulos, Ilias P., 2009. "Logistics issues of biomass: The storage problem and the multi-biomass supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 887-894, May.
    6. Viana, H. & Cohen, Warren B. & Lopes, D. & Aranha, J., 2010. "Assessment of forest biomass for use as energy. GIS-based analysis of geographical availability and locations of wood-fired power plants in Portugal," Applied Energy, Elsevier, vol. 87(8), pages 2551-2560, August.
    7. Batzias, F.A. & Sidiras, D.K. & Spyrou, E.K., 2005. "Evaluating livestock manures for biogas production: a GIS based method," Renewable Energy, Elsevier, vol. 30(8), pages 1161-1176.
    8. Perpiñá, C. & Alfonso, D. & Pérez-Navarro, A. & Peñalvo, E. & Vargas, C. & Cárdenas, R., 2009. "Methodology based on Geographic Information Systems for biomass logistics and transport optimisation," Renewable Energy, Elsevier, vol. 34(3), pages 555-565.
    9. Yanli, Yang & Peidong, Zhang & Wenlong, Zhang & Yongsheng, Tian & Yonghong, Zheng & Lisheng, Wang, 2010. "Quantitative appraisal and potential analysis for primary biomass resources for energy utilization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3050-3058, December.
    10. Ramachandra, T.V. & Shruthi, B.V., 2007. "Spatial mapping of renewable energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1460-1480, September.
    11. Voivontas, D. & Assimacopoulos, D. & Mourelatos, A. & Corominas, J., 1998. "Evaluation of Renewable Energy potential using a GIS decision support system," Renewable Energy, Elsevier, vol. 13(3), pages 333-344.
    12. Frombo, Francesco & Minciardi, Riccardo & Robba, Michela & Sacile, Roberto, 2009. "A decision support system for planning biomass-based energy production," Energy, Elsevier, vol. 34(3), pages 362-369.
    13. Sørensen, Bent & Meibom, Peter, 1999. "GIS tools for renewable energy modelling," Renewable Energy, Elsevier, vol. 16(1), pages 1262-1267.
    14. Izquierdo, Salvador & Dopazo, César & Fueyo, Norberto, 2010. "Supply-cost curves for geographically distributed renewable-energy resources," Energy Policy, Elsevier, vol. 38(1), pages 667-672, January.
    15. Yue, Cheng-Dar & Wang, Shi-Sian, 2006. "GIS-based evaluation of multifarious local renewable energy sources: a case study of the Chigu area of southwestern Taiwan," Energy Policy, Elsevier, vol. 34(6), pages 730-742, April.
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    5. Shabani, Nazanin & Akhtari, Shaghaygh & Sowlati, Taraneh, 2013. "Value chain optimization of forest biomass for bioenergy production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 299-311.
    6. Zubaryeva, Alyona & Zaccarelli, Nicola & Del Giudice, Cecilia & Zurlini, Giovanni, 2012. "Spatially explicit assessment of local biomass availability for distributed biogas production via anaerobic co-digestion – Mediterranean case study," Renewable Energy, Elsevier, vol. 39(1), pages 261-270.
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