This paper presents a brief literature review concerning the costs and benefits of electric vehicles and hybrid electric vehicles, highlighting their advantages in terms of greenhouse gas emissions reductions. Even though electric and electro-hybrid vehicles must still overcome many cultural and...

This paper presents a brief literature review concerning the costs and benefits of electric vehicles and hybrid electric vehicles, highlighting their advantages in terms of greenhouse gas emissions reductions. Even though electric and electro-hybrid vehicles must still overcome many cultural and...

This paper aims to analyze the impact of an improvement in income distribution on energy consumption in Brazil, based on structural decomposition techniques. For this purpose, hybrid input-output matrices are constructed to associate the evolution of national accounts with the national energy...

This paper aims to analyze the impact of an improvement in income distribution on energy consumption in Brazil, based on structural decomposition techniques. For this purpose, hybrid input-output matrices are constructed to associate the evolution of national accounts with the national energy...

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...

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.

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.