Abstract
Biomasses are materials of organic origin that can be used for the production of energy. Among the renewable energy sources, a prominent role is played by woody biomass, which can be retrieved from existing forests or plantations governed in short or middle rotation coppice, the so-called Short and Medium Rotation Forestry. The main environmental benefit resulting from the use of wood biomass consists in the fact that the amount of carbon dioxide released during their combustion process is the same as that absorbed during the development phase. Here, we propose a procedure to manage the traceability of short biomass chains and to schedule the activities for mobile forest construction sites using free and open-source GIS technologies. Firstly, we created a spatial DB to manage the areas where the cutting and logging activities are performed. Then, we overlapped the boundaries of areas with the cadastral sheets to ensure the biomass comes from short chain, i.e., within the range of 70 km from the position of the central. To plan the number of working days required and make an estimation of the production, the total area of the lots, the land clearing, and the net area were calculated. Finally, depending on the characteristics of wooded areas, the type of system to be used for the business of cutting and logging was evaluated. This work demonstrates how GIS allows a fast traceability of short biomass chains and an estimation of the production by improving the efficiency and effectiveness of biomass resource assessment.
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References
Aruga K, Murakami A, Nakahata C, Yamaguchi R, Yoshioka T (2011) Discussion on economic and energy balances of forest biomass utilization for small-scale power generation in Kanuma, Tochigi Prefecture, Japan. Croat J For Eng 32:2
Cavazzi S, Dutton AG (2016) An Offshore Wind Energy Geographic Information System (OWE-GIS) for assessment of the UK’s offshore wind energy potential. Renew Energy 87(Part 1):212–228
Famoso D, Mangiameli M, Roccaro P, Mussumeci G, Vagliasindi FGA (2012) Asbestiform fibers in the Biancavilla site of national interest (Sicily, Italy): review of environmental data via GIS platforms. Rev Environ Sci Biotechnol 11(4):417–427. https://doi.org/10.1007/s11157-012-9284-9 ISSN: 1569-1705
Fiorese G, Guariso G (2010) A GIS-based approach to evaluate biomass potential from energy crops at regional scale. Environ Model Softw 25(6):702–711
Fougere D, Clarke K, Zhao Y, Li K (2015) Chemicale mechanical pretreatment of wood: reducing downsizing energy and increasing enzymatic digestibility. Biomass Bioenergy 80:17–29
Kamimura K, Kuboyama H, Yamamoto K (2012) Wood biomass supply costs and potential for biomass energy plants in Japan. Biomass Bioenergy 36:107–115
Mangiameli M, Mussumeci G (2013a) Gis approach for preventive evaluation of roads loss of efficiency in hydrogeological emergencies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. https://doi.org/10.5194/isprsarchives-XL-5-W3-79-2013.
Mangiameli M, Mussumeci G (2013b) Real time integration of field data into a GIS platform for the management of hydrological emergencies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. https://doi.org/10.5194/isprsarchives-XL-5-W3-153-2013
Mangiameli M, Muscato G, Mussumeci G (2013) Road network modeling in open source GIS to manage the navigation of autonomous robots. In: ICNAAM 2013-International Conference on Numerical Analysis and Applied Mathematics ,vol. 1558, AIP (American Institute of Physics), pp 1224–1227, ISBN: 978-0-7354-1184-5, ISSN: 1551-7616. https://doi.org/10.1063/1.4825731
Maugeri M, Motta E, Mussumeci G, Raciti E (2009) Lifeline seismic hazards: a GIS application, in Wit transactions on the built environment, vol. VII, p. 381–392, WIT Press, ISBN: 978-1-84564-180-1, ISSN: 1743-3509. https://doi.org/10.2495/ERES090351
Mussumeci G, Condorelli A, Maugeri M, Biondi G (2004) Earthquake-triggered landslide hazard in the Catania area, in Wit transactions on ecology and the environment, vol. 77. WIT Press, pp 115–130, ISBN: 1-85312-736-1, ISSN: 1743-3541. https://doi.org/10.2495/RISK040111
Samuta H, Uchiyama Y, Okajima K (2012) Evaluation for the adoption of renewable energy in China using geographic information system. J Int Counc Electr Eng 2(4):403–408
Schiel K, Baume O, Caruso G, Leopold U (February 2016) (2016) GIS-based modelling of shallow geothermal energy potential for CO2 emission mitigation in urban areas. Renew Energy 86:1023–1036
Shi X, Elmoreb A, Lic X, Gorenced N, Jine H, Zhangf X, Wangc F (2008) Using spatial information technologies to select sites for biomass power plants: a case study in Guangdong Province, China. Biomass Bioenergy 32:35–43
Su Jeong J, Ramírez-Gómez A (2017) A multicriteria GIS-based assessment to optimize biomass facility sites with parallel environment—a case study in Spain. Energies 10(12):2095. https://doi.org/10.3390/en10122095
Zhang F, Johnson D, Johnson M, Watkins D, Froese R, Wang J (2016) Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain. Renew Energy 85:740–748
Acknowledgments
We thank the editor Prof. Giuseppina Vacca and the two anonymous reviewers for their constructive and supportive comments that helped us to improve the manuscript.
Funding
This work has been [partially] financed by the University of Catania within the project “Piano della Ricerca Dipartimentale 2016-2018” of the Department of Civil Engineering and Architecture.
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Mangiameli, M., Mussumeci, G., Roccaro, P. et al. Free and open-source GIS technologies for the management of woody biomass. Appl Geomat 11, 309–315 (2019). https://doi.org/10.1007/s12518-019-00265-8
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DOI: https://doi.org/10.1007/s12518-019-00265-8