Resumo:
Brazil is one of the countries that seek to encourage distributed generation (DG) based on a net-metering scheme, combined with the exemption from the trading tax (ICMS), which is offered by different Brazilian states at different levels, and the lines financing from the national development bank. However, incentivized renewable energy sources (RES) have advantages in certain attributes, which many other RES do not have. In this sense, the combination of two or more sources in a hybrid way is able to minimize the disadvantages of renewable sources, including investment, operation and maintenance costs, intermittency and occupied area of the land where the generation system is installed. Therefore, the objective of this work is to contribute to the configuration of hybrid biogas-solar photovoltaic (PV) systems for pig farms, using multiobjective optimization. For this, a design of experiment technique will be adopted to define the objective functions, the construction of the Pareto frontier using the Normal Boundary Intersection (NBI) method and the Pareto-optimal solution will be located by the ratio between Entropy and Mahalanobis distance. The data obtained through the experimental design will also be used in the construction of confidence ellipses and in the Multivariate Analysis of Variance (MANOVA) technique, to compare the results obtained in three cities in three different brazilian states. The input variables used will be operational data from biogas and solar photovoltaic (PV) generation and the response variables used are the mean and standard deviation of the Net Present Value (NPV). The main results obtained were the optimal configuration of the biogas-PV hybrid system and the comparison of the investment made in the three selected cities. The contributions generated are intended to assist the decisions of renewable energy market regulators and investors.
