GIS data bank

The following information was identified, collected and analyzed: potential of solar, aeolic and biomass resource, socio-economic information, geographic maps, infrastructure data, hydric resources (subterranean wells), soils and climatic aptitude, possible nuclei for becoming training and technical assistance centers (technical and agricultural schools, universities),and finally mapping of existent solar installations. The data used where possible, were automatically migrated, if not were digited and converted in ACESS data bank.

Acknowledgements — We thank the National Research Council (CNPq) , Brazilian Electric Centers SA (ELETROBRAS), The Sao Francisco Hydro Eletric Company (CHESF)and Coordination for Perfection of High Level Personnel (CAPES) for the aid in research projects on solar energy that provided material means and scientific ambient for carrying out this research.

References

[1] Bravo, J. D. (2002) Los sistemas de information geografica em la planificacion e integration de enrgias renovables, ISBN 84-7834-434-9, Editorial CIEMAT, Madrid, Espana.

[2] Bourges, D. et al. (1996) A geographical information system for large scale integration of renewable energies into regional energy markets, Renewable Energy Development European Conference and APAS — RENA Contractors Meeting, EDIFIR, Florencia.

[3] Rialhe, A. (1996) Epure project: economical potential use of renewable energy, Renewable Energy Development European Conference and APAS-RENA Contractors Meeting, EDIFIR, Florencia.

[4] Diakoulaki, D. et al. (1996) Implementing large scale integration of renewable a pilot study for operational plans and policies (REPLAN), 107-115.

[5] Voivontas, D., Assimacopoulos, D. and Mourelatos, A. ( 1998) Evaluation of renewable energy potential using a GIS decision support system, Renewable energy, Vol. 13, No. 3, 333-344.

[6] Petit, C. (1995) Winds of change. GIS helps site wind farms in France. GIS Europe, Godmanchester (Huntington), GeoTec media, pags. XVII-XVIII.

[7] Baban, S. M. J. and Parry, T. (2001) Developing and applying a GIS-assisted approach to locating wind farms in the UK, Renewable Energy, Vol. 24, No. 1, 59-71.

[8] Matthies, H. et al. (1994) An assessment of the offshore wind potential in the EC, EWEC94, Greece,

111- 115.

[9] Marnay, C. H. et al. (1997) Estimating the environmental and economics effects of widespread residential PV adoption using GIS and NEMS, Ernest Lawrence Berkeley National Laboratory,

University of California, EEUU Report, LBNL-41030, UC-1321.

[10] Noon, C. H. and Daly, M. J. (1996) GIS-based biomass resource assessment with BRAVO, Biomass and Bioenergy, Vol. 10, No. 2-3, 101-109.

[11] Voivontas, D. et al. (2001) Assessment of biomass potential for power production: a GIS based method, Biomass and Bioenergy, Vol. 20, 101-112.

[12] IBERINCO(1998) Oportunidades para la production de energia a partir de biomasa en La Rioja (Espana) y La Toscana (Italia), ALTENER pilot projects, Contract No. XVII/4, 1030/Z/98-214.

[13] SOLARGIS TEAM (1996) Solargis handbook, Comision Europea, Direction General XII, Bruselas.

[14] NREL (2007), Dynamic maps, GIS data and analysis tools, www. nrel. gov/gis/maps

[15] RENEWABLE ENERGY ATLAS OF THE WEST (2007), www. energyatlas. org, 2007.

[16] Suri, M. Huld, T. A. and Dunlop, E. D. (2005) PV_GIS: a web-based solar radiation database for the calculation of PV potential in Europe, Int. Journal of Sustainable Energy, Vol. 24, No. 2, 55-67.