Presentación en: International Conference on Renewable Energy, UNESCO, Paris
The feasibility of establishing renewable energy parks (solar and wind) is analyzed mainly from the fitness point of view according to its energy potential. Mexico is a country with important solar richness, with average solar radiation of 5kWh / m2 / day (Sener, 2009), and wind speed that reaches up to 120 meters (NREL, 2018). The present work focuses on proposing a Spatial Decision Support System (SDSS), that provides other variables to increase the reliability of the site selection. Factors such as the economic feasibility, technical, social and legal aspects are neglected on most works on the subject. Our model (SDSS), provides a result for decision-makers, which goes beyond knowing only the potential of energy generated, but considering all the other variables that intervene during the process that directly leads to the selection of the site where the investment will be carried out. The model includes six consecutive stages that evaluate potentially suitable areas for the installation of renewable energy parks. Based on the identification, a biophysical calibration of the terrain, climate and infrastructure variables are executed. This calibration is carried out, according to a categorization of fitness levels, made up of five classes. The latter allows to obtain a mapping of the fitness level per variable. Finally, the mappings are an input for the formulation of the algorithm generated by the SDSS. As a result, SDSS models, contain the outcome of the calibration of each variable and its respective categorization, according to the degree of suitability for the feasibility of the establishment of renewable energy parks.
Conference: International Conference on Renewable Energy
At: UNESCO, Paris
Affiliation: United Nations Educational, Scientific and Cultural Organization