Offshore Wind Power Potential in Brazil: Complementarity and Synergies

Renewable sources stand out in energy planning due to their contribution to greenhouse gas emission reduction when displacing fossil fuels and the enhancement of energy security through the diversification of the energy matrix. Understanding and optimizing the complementary operative synergy between different energy sources over time and space leads to efficient policies. This article uses an hourly Pearson's correlation coefficient to explore the complementarity between offshore wind and other power generation sources in the Brazilian matrix. An analysis of offshore wind power feasibility in the Brazilian power system will be conducted, considering environmental implications, synergies with the oil industry, costs, and complementarities with other energy sources. The methodology uses an optimization model to minimize costs and optimize the production mix while considering the time series of renewable energy, subject to demand constraints, renewable resource availability, reservoir storage, capacity limitations, and thermal generation. The study concludes that the northeast and southeast electrical subsystems must start offshore wind installation in Brazil due to their complementarity with hydropower production, synergy with the oil and gas industry, and proximity to the largest consumption spots.

Automated summary

This study explores the complementarity between offshore wind energy and other power generation sources in the Brazilian energy system using an hourly Pearson's correlation coefficient. The feasibility of offshore wind power in the Brazilian power system was analyzed by considering environmental implications, synergies with the oil industry, costs, and complementarities with other energy sources. The study concludes that the installation of offshore wind energy should begin in the northeast and southeast electrical subsystems in Brazil due to their complementarity with hydropower production, synergy with the oil and gas industry, and proximity to the largest consumption spots.