A software tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©
Schlagwörter:
Forest logistics, transportation, biomass, road analysis, Open Geographical DataAbstract
Costs and environmental impacts are key elements in forest logistics and they must be integrated in forest decision-making. The evaluation of transportation fuel costs and carbon emissions depend on spatial and non-spatial data but in many cases the former type of data are difficult to obtain. On the other hand, the availability of software tools to evaluate transportation fuel consumption as well as costs and emissions of carbon dioxide is limited. We developed a software tool that combines two empirically validated models of truck transportation using Digital Elevation Model (DEM) data and an open spatial data tool, specifically OpenStreetMap©. The tool generates tabular data and spatial outputs (maps) with information regarding fuel consumption, cost and CO2 emissions for four types of trucks. It also generates maps of the distribution of transport performance indicators (relation between beeline and real road distances). These outputs can be easily included in forest decision-making support systems. Finally, in this work we applied the tool in a particular case of forest logistics in north-eastern Portugal.
Literaturhinweise
[1] Abdulkarim, B., Kamberov, R., and Hay, G. J., 2014. Supporting urban energy efficiency with volunteered roof information and the Google Maps API. Remote Sensing 6 (10), 9691-9711. doi: 10.3390/rs6109691
[2] ANPEB, 2013. Relatório: A industria e mercado dos pellets em Portugal. Associação Nacional de Pellets Energéticos de Biomassa. Available online at http://www.anpeb.pt/; last accessed Apr. 08, 2015.
[3] Azevedo, J. C., Castro, J. P., Tarelho, L., Escaldante, E., Feliciano, M., 2011. Avaliação do potencial de produção e utilização sustentável de biomassa para energia no distrito de Bragança. Procedings of 17º Congresso da APDR. BRAGANÇA and ZAMORA, 29 June 2011
[4] Azevedo, J. C., Ferreira, M. C., Nunes, L. F., Feliciano, M. 2016. What drives consumption of wood energy in the residential sector of small cities in Europe and how that can affect forest resources locally? The case of Bragança, Portugal. International Forestry Review. 18(1):1-12.
[5] COS2007, 2007. Carta de Uso e Ocupação do Solo de Portugal Continental para 2007 (Direcção-Geral do Território, DGT). Available online at http://www.dgterritorio.pt/cartografia e geodesia/cartografia/cartografia tematica/cos/cos 2007/; last accessed Apr. 08, 2015.
[6] Ehrhardt, I., Seidel, H., Blobner, C., Schenk, E. H. M., 2013. Biomass logistics: the key of challenge of minimizing supply costs. in Pethrick, R. A., Pearce, E. M., Zaikov, G. E., (eds.). Polymer Products and Chemical Processes: Techniques, Analysis, and Applications. Apple Academic Press, Canada, pp. 257-295.
[7] EMEP/EEA, 2013. Air pollutant emission inventory guidebook 2013. Technical report No 12/2013. Copenhagen. Available online at: http://www.eea.europa.eu/publications/emep-eea-guidebook-2013; last accessed Apr. 08, 2015.
[8] Eriksson, L., Gustavsson. L., 2010. Costs, CO2- and primary energy balances of forest-fuel recovery systems at different forest productivity. Biomass and Bioenergy 34 (5), 610-619. doi: 10.1016/j.biombioe.2010.01.003
[9] Faaij, A. P. C., 2006. Bio-energy in Europe: changing technology choices. Energy Policy 34, 322-342. doi: 10.1016/j.enpol.2004.03.026
[10] Ferreira, J., Ferreira, M.E., 2011. Portugal: Pellet report. ANPEB Portugal. Available online at: http://www.enplus-pellets.eu/wp-content/uploads/2012/01/PT pellet report Jan2012.pdf; last accessed Apr. 08, 2015.
[11] Forghani, M., Delavar, M. A., 2014. Quality study of the OpenStreetMap dataset for Tehran. ISPRS International Journal of Geo-Information 3, 750-763. doi: 10.3390/ijgi3020750
[12] Fritz, S., McCallum, I., Schill, C., Perger, C., Grillmayer, R., Achard, F., Kraxner, F., Obersteiner, M., 2009. Geo-Wiki.Org: The use of crowdsourcing to improve global land cover. Remote Sensing 1 (3), 345-354. doi: 10.3390/rs1030345
[13] Frisk, M., Göthe-Lundgren, M., Jörnsten, K., Rönnqvist, M., 2010. Cost allocation in collaborative forest transportation. European Journal of Operational Research 205 (2), 448-458. doi: 10.1016/j.ejor.2010.01.015
[14] Frombo, F., Minciardia, R., Robba, M., Rosso, F., Sacile, R., 2009. Planning woody biomass logistics for energy production: A strategic decision model. Biomass and Bioenergy 33, 372-383. doi: 10.1016/j.biombioe.2008.09.008
[15] Haklay, M., Weber, P., 2008. OpenStreetMap: User-generated street maps. IEEE Pervasive Computing 7 (4), 12-18. doi: 10.1109/MPRV.2008.80
[16] Haklay, M., 2010. How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environment and Planning B: Planning and Design 37, 682-703. doi: 10.1068/b35097
[17] Han, S.K., Murphy, G. E., 2012. Solving a woody biomass truck scheduling problem for a transport company in Western Oregon, USA. Biomass and Bioenergy 44, 47-55. doi: 10.1016/j.biombioe.2012.04.015
[18] INE, 2014. Instituto Nacional de Estatística. Available online at www.ine.pt; last accessed Apr. 08, 2015.
[19] Kinoshita, T., Inoue, K., Iwao, K., Kagemoto, H., Yamagata, Y., 2009. A spatial evaluation of forest biomass usage using GIS. Applied Energy 86, 1-8. doi: 10.1016/j.apenergy.2008.03.017
[20] Luo, L., Wang, X., Guo, H., Liu, C., Liu, J., Li, L., Du, X., Qian G., 2014. Automated extraction of the archaeological tops of Qanat shafts from VHR imagery in Google Earth. Remote Sensing 6 (12), 11956-11976. doi: 10.3390/rs61211956
[21] Möller, B., Nielsenb, P. S., 2007. Analysing transport costs of Danish forest wood chip resources by means of continuous cost surfaces. Biomass and Bioenergy 35 (5), 291-298. doi: 10.1016/j.biombioe.2007.01.018
[22] Natarajan, K., Leduc, S., Pelkonen P., Tomppo E., Dotzauer E. (2013) Optimal locations for second generation Fischer Tropsch biodiesel production in Finland. Renewable Energy 62: 319-330
[23] Perpina, C., Alfonso, D., Pérez-Navarro, A., Penalvo, E., Vargas, C., Cárdenas R., 2009. Methodology based on Geographic Information Systems for biomass logistics and transport optimisation. Renewable Energy 34, 555-565. doi: 10.1016/j.renene.2008.05.047
[24] Rakha, H., Lucic, I., Demarchi, S., Setti, J., Aerde, M., 2001. Vehicle Dynamics Model for Predicting Maximum Truck Acceleration Levels. Journal of Transportation Engineering 127 (5), 418-425. doi: 10.1061/(ASCE)0733-947X(2001)127:5(418)
[25] Rakha, M., Lucic I., 2002. Variable power vehicle dynamics model for estimating truck accelerations. Journal of Transportation Engineering, 128 (5), 412-419. doi: 10.1061/(ASCE)0733-947X(2002)128:5(412)
[26] Ruiz, J.A., Juárez, M.C., Morales, M.P., Munoz, P., Mendívil M.A., 2013. Biomass logistics: Financial & environmental costs. Case study: 2 MW electrical power plants. Biomass and Bioenergy 56, 260-267. doi: 10.1016/j.biombioe.2013.05.014
[27] Santos, L., Coutinho-Rodrigues, J., Antunes, C. H., 2011. A web spatial decision support system for vehicle routing using Google Maps. Decision Support Systems 51 (1), 1-9. doi: 10.1016/j.dss.2010.11.008
[28] Schellekens, J., Brolsma, R.J., Dahm, R.J., Donchyts, G.V., Winsemius, H.C., 2014. Rapid setup of hydrological and hydraulic models using OpenStreetMap and the SRTM derived digital elevation model. Environmental Modelling & Software 61, 98-105. doi: 10.1016/j.envsoft.2014.07.006
[29] Sikkema, R., Junginger, M., Pichler, W., Hayes, S., Faaij, A.P.C., 2010. The international logistics of wood pellets for heating and power production in Europe: Costs, energy-input and greenhouse gas balances of pellet consumption in Italy, Sweden and the Netherlands. Biofuels, Bioproducts and Biorefining 2 (4), 132-153. doi: 10.1002/bbb.208
[30] Steiniger, S., Hay, G. J., 2009. Free and open source geographic information tools for landscape ecology. Ecological Informatics 4 (4), 183-195. doi: 10.1016/j.ecoinf.2009.07.004
[31] Viana, H., Cohen, W.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 8 (87), 2551-2560. doi:10.1016/j.apenergy.2010.02.007
[32] Wolfsmayr, U.J., Rauch, P. (2014) The primary forest fuel supply chain: A literature review. Biomass and Bioenergy 60: 203-221
[33] Yemshanov, D., McKenney, D. W., Fraleigh, S., McConkey, B., Huffman, T., Smith S., 2014. Cost estimates of post harvest forest biomass supply for Canada. Biomass and Bioenergy 69, 80-94. doi: 10.1016/j.biombioe.2014.07.002
[34] Zambelli, P., Lora, C., Spinelli, R., Tattoni, C., Vitti, A., Zatelli, P., Ciolli, M., 2012. A GIS decision support system for regional forest management to assess biomass availability for renewable energy production. Environmental Modelling & Software 38, 203-213. doi: 10.1016/j.envsoft.2012.05.016
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