Sustainable management model based on renewable energies for the first capital of the Californias, Loreto, Mexico

Sustainable management model based on renewable energies for the first capital of the Californias, Loreto, Mexico

Pedro-Daniel Molina-Pfennig Oscar Arizpe Covarrubias 

University of Baja California Sur, Mexico

Page: 
360-369
|
DOI: 
https://doi.org/10.2495/EQ-V2-N4-360-369
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

The Mexican state of Baja California Sur has a high rate of population growth. It is also one of the states that are most vulnerable to climate change. Due to its location on the southern side of a roughly 900-mile long peninsula, and its natural separation from mainland Mexico, its power trans- mission networks are completely independent of the rest of the country. Thus, nearly all the energy used to generate electricity must be shipped to the state in the form of fossil fuels. The importation of energy supplies from the mainland results in higher costs for the state than in other areas of the country, causes greater environmental damage, and prevents a steady supply of energy to the state. This study’s objective is to propose a sustainable management model and to provide a reference to feasible sites available that could serve the Loreto region. An analytical model has been developed with multiple criteria and geographic information systems. This will allow for a wide range of spatial analysis of information covering the calculation of slopes, orientation, irradiation, infrastructure, etc. The municipal region of Loreto has roughly 288 square kilometres of land deemed suitable for the installation of solar plants. This area comprises 1.62% of the municipality. In 2016, the maximum electrical power demand for the entire state of Baja California Sur was 628 Megawatts per hour according to the Federal Electricity Commission (CFE). Loreto’s electrical capacity is currently 17MWh. Based on calculations that one photovoltaic plant located on two acres of land can produce one MWh, solar plants in the region could, theoretically, produce up to 14,403.35 MWh. Clearly, this potential capacity would be well above the demands of the municipality, which encompasses 3.8% of the state territory.

Keywords: 

Analysis, Capital of The Californias, Gis, Loreto, Multi-Criteria, Solar Radiation

  References

[1] International Energy Agency IEA, 2015.

[2] Maps of Global solar irradiation in Mexico (R. Almanza E. Cajigal, S. r. j.  Barrientos A. 1997) insolation of Mexico reports. Southwest Technology Development Institute, NMSU, 1999.

[3] Alberto-Jesus Perea-Moreno 1, and Quetzalcoatl Hernandez-Escobedo 2, 1 Department of Applied Physics, University of Cordoba, CEIA3, Campus of Rabanales, 14071 Cór- doba, Spain 2 Faculty of Engineering Campus Coatzacoalcos, University of Veracruz, Harrapa, 0052229 Veracruz, Mexico; Published: 3 November 2016.

[4] Gómez Orea, Domingo. 1992. Planificación rural. Madrid: Agrícola Española.

[5] Fischer, M.M. & Nijkamp, P., geographic information systems and spatial analysis. The Annals of Regional Science, 26(1), pp. 3–17, 1992. https://doi.org/10.1007/bf01581477

[6] Birkin, M., Elements of a Model Based Geographic Information Systems for the Evaluation of Urban Policy, 1990.

[7] LaValle, S.M. & Konkimalla, P., Algorithms for computing numerical optimal feedback motion strategies. The International Journal of Robotics Research, 20(9), pp. 729–752, 2001. https://doi.org/10.1177/02783640122067633

[8] Eastman, R.J., Guide to GIS and Image processing Vol.2. Clark university, USA, 2001. [9] Rodríguez, M., La Ordenación y la Planificación de las Fuentes Renovables de Energía en la Isla de Cuba desde una perspectiva territorial. Estudio de caso en el municipio de Guama a partir de un Geo portal [Libro]. - Sevilla: Doctorado Estrategias y Planifi- cación Territorial-Facultad de Humanidades. Universidad Pablo Olavide, 2010.

[10] Domínguez, J., Los Sistemas de Información Geográfica en la Planificación e Inte- gración de Energías Renovables[Libro]. - Madrid: CIEMAT, 2002. - Vol. I.

[11] Quijano, R., Plataforma Integrada de Modelización para la Energía, Ambiente y Desar- rollo Sostenible– MODERGIS “Aplicación Caso Piloto Colombia” [Libro]. - Bogotá: Doctorado en Ingeniería-Facultad de Minas. Universidad Nacional de Colombia, 2011.

[12] Saaty, T.L., The Analytic Hierarchy Process. McGraw Hill, Nueva York, 1980. [13] Romero, C., Análisis de las Decisiones Multicriterio, Madrid, Spain: Isdefe, 1996.