Design of a hybrid system (photovoltaic and biomass) connected to the grid in the La Molina sector in Quinindé-Esmeraldas
Keywords:
Renewable energy, hybrid system, microgrid, optimization, power generationAbstract
Introduction: In this research work, a microgrid optimization model has been used to design a microgrid system based on renewable energies: the hybrid solar-biomass system for the electrification of the La Molina sector in Quinindé-Esmeraldas. The objective of this work is to model and simulate a hybrid system (photovoltaic and biomass) connected to the grid in the La Molina Quinindé-Esmeraldas sector. The hybrid system consists of electrical loads, solar resources, biomass resources and system components such as solar photovoltaic energy, biogas generators, biomass energy, battery and converters. Input information on primary loads, availability of solar and biomass resources, technological options, component cost, constraints and controls is determined. Materials and methods: This is a software that allows the design of renewable energy projects, oriented to hybrid systems. In order to properly develop and manage such installations, the Renewable Energy Program (PEERR) has organized a theoretical-practical course on the use of HOMER. Results: Hourly simulations with sensitive analysis were performed to calculate the input and output energy of each component and design the most favorable renewable energy-based system. The optimized results of alternative renewable energy-based hybrid systems with different levels of contribution from renewable resources are presented in this research paper taking into account the technology costs, energy resource availability and efficiency of the renewable energy system. Discussion: This research analyzes the systematic procedure for planning a hybrid system based on photovoltaic energy and biomass and its economic analysis, including the calculation of the savings percentage and the analysis of the payback period. It will provide a complete solution to remote areas that are not accessible to the grid. Conclusions: According to the simulation and sensitivity results, the system with 36.1 kW PV power, 2 kW biomass cogeneration, 3.88 kW capacitive converter, 0.0449 USD/kWh grid power price, and 3.76% reduction factor is the most environmentally and economically viable system than the current grid-connected system.
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