This study describes the relationship between GHG emissions and a set of economics and environmental variables in the energy sector of the 27 Brazilian states, during the period 2010 to 2020. The system Generalized Moments Method (system GMM) was used to verify the influence, in particular, of...

This study describes the relationship between GHG emissions and a set of economics and environmental variables in the energy sector of the 27 Brazilian states, during the period 2010 to 2020. The system Generalized Moments Method (system GMM) was used to verify the influence, in particular, of...

This text for discussion is part of a research aimed to understand the institutional constraints to the implementation of investment in infrastructure in contemporary Brazil and to propose public policy improvement. The rationale for their implementation is that there is evidence that indicate...

This text for discussion is part of a research aimed to understand the institutional constraints to the implementation of investment in infrastructure in contemporary Brazil and to propose public policy improvement. The rationale for their implementation is that there is evidence that indicate...

In this study, we identify the hydrogen investments and the main routes of hydrogen production in Brazil. We focus on sustainable hydrogen that is obtained from renewable energy sources or using carbon capture, utilization and storage (CCUS) to neutralize emissions. The identified results...

Despite the challenges for its development, the energy transition is crucial not only to achieve energy security and reduce energy dependence in politically unstable regions, but above all post- -pandemic to meet the goals established in the 2030 Agenda. In this context, countries considered...

Wind power generation is essential to reduce the use of fossil resources and, consequently, the emission of greenhouse gases (GHG). Currently, the National Interconnected System (SIN) has about 9971 wind turbines in operation, the sixth largest network in the world ranking, and 80% of Brazilian...

This work presents a Bayesian approach for inferring the capacity factor of an offshore wind farm. The application of the proposed methodology is illustrated through a case study of a wind power offshore project located on the northern coast of the Rio de Janeiro State.