Evaluation and optimization of Energy supply in Near to Zero Energy Buildings on the Ecuadorian Coast

This work dimensions the optimal management of different sources of electricity generation, with the purpose of improving energy efficiency in buildings on the Ecuadorian coast. An optimization algorithm is developed based on mixed integer linear programming that incorporates traditional sources such as the electrical grid and alternative sources such as: solar, wind and biomass boiler, also batteries are incorporated to store excess energy. Performance profiles, technical characteristics and economic parameters are considered for each energy source. As a result, a mix of distributed generation technologies capable of meeting the electricity demand of an industrial building is obtained. Two scenarios, good day and bad day were analyzed to manage the uncertainty of intermittent sources. The simulations show the correct performance of the algorithm when not installing wind turbines, due to the poor energy resource available at the selected site.