Advances, Progress, and Future Directions of Renewable Wind Energy in Brazil (2000–2025–2050)
Abstract
:1. Introduction
1.1. Contribution of Renewable Energies in Brazil
1.2. Road to an Energy Matrix of Carbon Neutrality
- High Capacity Factors: Brazil’s onshore wind farms average a capacity factor of 45–50%, surpassing the global average (~35%) and rivaling offshore wind hubs like the UK (40–50%). Regions like the Northeast boast peaks of 60%, among the highest onshore rates worldwide.
- Complementary Hydropower Integration: Unlike wind-dependent nations (e.g., Germany, USA), Brazil integrates wind with hydropower, using reservoirs as “natural batteries” to balance intermittency—a model few countries can replicate.
- Competitive Costs: Brazil’s wind energy auctions routinely secure prices below $30/MWh, cheaper than the US ($40–$50/MWh) and European markets ($50–$80/MWh).
- Global Comparison of capacity factors: Brazil (~48%), China (~35%), USA (~37%), and Germany (~22%).
- Global Comparison of key limitations: Brazil (Grid expansion), China (Curtailment), USA (Land disputes), and Germany (Low wind speeds).
- Trade Winds and Coastlines: Consistent South Atlantic trade winds (6–9 m/s avg.) fuel Brazil’s Northeast, home to 80% of its wind parks.
- Low Seasonality: Unlike Europe’s winter-peak winds, Brazil’s winds peak in dry seasons (June–November), complementing hydropower shortages.
- Brazil’s combination of high productivity, low costs, and synergistic renewables integration positions it as a global benchmark for sustainable wind growth.
1.3. Aim of the Article
2. Potential of Wind Energy Resources in Brazil
2.1. Onshore Wind Energy Potential
- (i)
- Data Sources
- Wind Speed Data: Obtained from (e.g., meteorological stations, reanalysis datasets (ERA5, MERRA-2), and SCADA records).
- Temporal Resolution: [e.g., hourly/monthly data over 10 years].
- Spatial Resolution: [e.g., 10 m × 10 m grid for GIS-based analysis or point data from mast measurements].
- (ii)
- Wind Speed Extrapolation and Adjustment
- Adjusted to hub height (e.g., 80–120 m) using the logarithmic and power law (Weibull distribution parameters).
- Surface roughness and terrain effects were accounted for via (e.g., WAsP modeling).
- (iii)
- Software/Tools
- GIS Tools: (e.g., ArcGIS) for spatial interpolation (e.g., kriging and IDW).
- Wind Modeling Software: (e.g., WAsP Modeling) for turbine placement and wake effects.
- Statistical Tools: [e.g., R and Python] for Weibull fitting or energy yield calculations.
- (iv)
- Turbine Specifications
- Assumed turbine model (s): (e.g., Vestas V90–2.0 MW with 80 m hub height).
- Power Curve: Used manufacturer data or generic curves (IEC Class I/II/III).
- Capacity Factor: Based on site-specific wind speeds and turbine cut-in/cut-out thresholds.
- (v)
- Assumptions/Limitations
- Excluded wake losses.
- Assumed uniform wind distribution over the study area.
- Validation: Compared with SCADA data or neighboring wind farms.
- (i)
- Wind Resource Quality (Site-Specific Factors)
- Wind Speed and Consistency: Higher and more consistent wind speeds significantly boost CF. Sites with low turbulence and steady wind regimes (e.g., coastal areas, plains) perform better.
- Terrain and Surface Roughness: Complex terrain (hills, forests) disrupts airflow, reducing efficiency compared to flat, open areas (e.g., prairies or offshore sites).
- Altitude and Air Density: Higher elevations may have stronger winds, but lower air density can slightly reduce power output.
- (ii)
- Turbine Design and Technology
- Hub Height: Taller turbines access stronger, more consistent winds (wind speed increases with height due to reduced surface friction).
- Rotor Diameter and Swept Area: Larger rotors capture more wind energy, improving CF, especially in lower wind-speed regions.
- Turbine Rating and Cut-In/Cut-Out Speeds: Turbines optimized for a site’s wind profile (e.g., lower cut-in speeds for light winds) maximize output.
- (iii)
- Maintenance and Operational Strategies
- Preventive vs. Reactive Maintenance: Proactive maintenance reduces downtime, while poor upkeep leads to underperformance.
- Component Reliability: Gearbox, blade, and generator failures can drastically reduce availability and CF.
- Grid Constraints and Curtailment: Grid congestion or oversupply may force operators to curtail output, artificially lowering CF.
- (iv)
- Environmental and Seasonal Variability
- Seasonal Wind Patterns: Some regions have strong winter winds but calm summers, leading to fluctuating CF.
- Wake Effects (Wind Farm Layout): Poorly spaced turbines cause aerodynamic interference, reducing downstream turbine efficiency.
- (v)
- Offshore vs. Onshore Differences
- Offshore Wind: Typically has higher CF (40–60%) due to stronger, steadier winds and fewer obstructions.
- Onshore Wind: More variable (25–45%) due to terrain and land-use constraints.
2.2. Offshore Wind Energy Potential
3. Wind Farm Projects: Experiences in Brazil
3.1. Onshore Wind Energy Projects—In Operation (2000–2025)
3.1.1. Ventos De São Vitor Wind Farm—Bahía State
3.1.2. Oitis Wind Farm—Bahia and Piauí State
3.1.3. Chafariz Wind Farm—Paraiba State
3.1.4. Chuí Wind Farm—Rio Grande do Sul State
3.1.5. Campo Largo Wind Farm—Bahía State
3.1.6. Ventos De Santa Luzia Wind Farm—Bahía State
3.1.7. Assuruá Wind Farm—Bahía State
3.1.8. Rio Do Vento Wind Farm—Rio Grande do Norte State
3.1.9. Lagoa Dos Ventos Wind Farm—Piaui State
3.1.10. Alto Do Sertao Wind Farm—Bahía State
3.1.11. Resume of the Total Installed Capacity of Wind Energy in 2025
3.2. Offshore Wind Energy Projects—Future Facilities (2025–2050)
4. Discussion
4.1. Progress
- Job creation: The wind energy industry has created thousands of direct and indirect jobs, especially in northeastern regions such as Rio Grande do Norte, Bahia, and Ceará, where most wind farms are located. This has contributed to the revitalization of local economies.
- Community development: Some projects include social programs, such as improving local infrastructure and providing education and technical training for nearby communities.
- Social conflicts: In some cases, there have been tensions over land use, especially in areas where traditional or indigenous communities have seen their territories affected.
- Emissions Reduction: Wind energy has helped Brazil reduce its dependence on fossil fuels, lowering greenhouse gas emissions and contributing to the country’s climate commitments.
- Local Impacts: Although it is a clean energy source, installing wind farms can affect local ecosystems, such as wildlife (especially birds and bats) and vegetation. However, environmental impact studies are mandatory to minimize these effects.
- Complementarity with other sources: Wind energy in Brazil has a high-capacity factor (around 40–50%), thanks to its constant winds, and complements hydroelectric power well, especially during drought.
- Investment Attraction: Brazil has attracted foreign and local investment in the wind energy sector, thanks to energy auctions and favorable policies. The country is one of the leaders in wind energy in Latin America.
- Cost Reduction: Wind power generation costs have decreased significantly, making it one of the country’s most competitive energy sources.
- Diversification of the Energy Matrix: Wind power has helped reduce dependence on hydropower, which has improved the resilience of the Brazilian energy system to droughts.
- Incentive Policies: The Brazilian government has implemented renewable energy policies and auctions that have fostered the growth of the wind sector. The Alternative Electric Energy Sources Incentive Program was an initial milestone.
- International Commitments: Brazil has used the expansion of wind power to meet its climate commitments, such as the Paris Agreement, and to position itself as a global leader in renewable energy.
- Regulatory challenges: Although there has been progress, some experts point to the need for improved regulation to facilitate the integration of wind energy into the electricity grid and streamline environmental licensing processes.
- Onshore wind remains the cheapest due to lower CAPEX and mature infrastructure.
- Offshore wind is 2–3 more expensive but offers higher capacity factors and coastal proximity.
- Floating offshore is the most expensive but could become viable with cost reductions (e.g., local manufacturing).
4.2. Sustainability Challenges
4.3. Future Directions
- Offshore Wind Potential: Brazil has one of the longest coastlines in the world, with over 7000 km of coastline. The northeastern regions feature consistent, high-speed winds, which are ideal for offshore wind power generation. Recent studies indicate that offshore wind potential in Brazil could exceed 1228 GW, providing a solid foundation for green hydrogen production.
- Pilot Projects and Strategic Partnerships: Brazilian and multinational companies have begun investing in pilot projects to integrate offshore wind energy with green hydrogen production. For example, Petrobras and other energy companies are exploring these projects’ technical and economic feasibility. Partnerships with countries such as Germany and the Netherlands, leaders in wind and hydrogen technology, facilitate knowledge and technology transfer.
- Regulatory Framework Under Development: The Brazilian government has begun establishing a regulatory framework for offshore wind energy, a crucial step in attracting investment. In 2022, preliminary regulations for installing and operating offshore wind farms were published. Additionally, Brazil is working on a national green hydrogen strategy, which includes tax and financial incentives for renewable energy projects.
- International Demand: Global interest in green hydrogen is growing, especially in Europe and Asia, where decarbonization is a priority in heavy industry and transportation sectors. With its wind power potential, Brazil could position itself as a key exporter of green hydrogen.
- Low Production Costs: Brazil has one of the world’s lowest green hydrogen production costs, making it very competitive. It is expected that by 2030, Brazil could produce green hydrogen at $1.45 per kilogram, making it one of the cheapest in the world.
- High Investment Costs: Installing offshore wind farms and electrolysis plants to produce green hydrogen requires significant initial investments. The costs of offshore wind technology and electrolyzers remain high, although they are expected to decrease over time. Developing port infrastructure and power transmission from wind farms to the coast also entails considerable expenses.
- Technological Challenges: The production of green hydrogen through electrolysis requires large amounts of renewable energy. Although Brazil has enormous wind potential, wind intermittency and the need for energy storage are technical challenges that must be addressed. Furthermore, hydrogen transportation and storage are complex due to low energy density and high volatility.
- Lack of Specialized Infrastructure: Brazil does not yet have the necessary infrastructure for the large-scale production, storage, and export of green hydrogen. This includes specialized ports, transportation networks, and cryogenic storage systems for green hydrogen or ammonia.
- Competition with Other Energy Sources: Although green hydrogen holds promise, it competes with other forms of hydrogen production, where gray hydrogen (produced from fossil fuels) remains cheaper, hindering the competitiveness of green hydrogen in the short term.
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
SDGs | Sustainable Development Goals |
UN | United Nations |
GWEC | Global Wind Energy Council |
GHG | Greenhouse Gas |
CO2eq | Carbon Dioxide equivalent |
NDCs | Nationally Determined Contributions |
SIN | National Interconnected Electricity System of Brazil |
GWA | Global Wind Atlas |
CF | Capacity Factor |
EIA | Environmental Impact Assessment |
CONAMA | Brazilian National Environment Council |
IBAMA | Brazilian Institute of Environment and Renewable Natural Resources |
MMA | Ministry of Environment |
ANEEL | Brazilian Electricity Regulatory Agency |
IRENA | International Renewable Energy Agency |
ESMAP | Energy Sector Management Assistance Program |
EPC | Engineering, Procurement, and Construction |
RER | Renewable Energy Resources |
EEZ | Exclusive Economic Zone |
GH2 | Green Hydrogen |
LCOE | Levelized Cost of Energy |
MW | Megawatts |
GW | Gigawatts |
MWh | Megawatts-Hour |
GWh | Gigawatts-Hour |
Mt | Millions of tons |
masl | Meters above sea level |
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State | State Potential (GW) | Region | Region Potential (GW) | Energy Production (TWh/Year) |
---|---|---|---|---|
Bahía | 20.0 | Northeast | 75.3 | 144.3 |
Río Grande Do Norte | 19.3 | |||
Ceará | 15.2 | |||
Piauí | 8.6 | |||
Pernambuco | 4.5 | |||
Paraíba | 3.2 | |||
Maranhao | 2.7 | |||
Sergipe | 1.7 | |||
Rio Grande Do Sul | 15.2 | South | 22.8 | 41.1 |
Santa Catarina | 5.7 | |||
Paraná | 1.9 | |||
Minas Gerais | 12.0 | Southeast | 29.7 | 54.9 |
Sao Paulo | 8.5 | |||
Rio de Janeiro | 8.0 | |||
Espíritu Santo | 1.2 | |||
Mato Grosso Do Sul | 2.2 | CentralWest | 3.1 | 5.4 |
Goías | 0.9 | |||
Roraima | 12.8 | North | 12.8 | 26.4 |
Total | 143.7 | Total | 143.7 | 272.1 |
Parameter | Value | Units |
---|---|---|
Location | Bahía State | - |
Concession Owner | Essentia Energia | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 75 | - |
Turbines Manufacturer | Siemens-Gamesa | - |
Diameter of Turbines | 170 | m |
Hub Height | 100–165 | m |
Installed Capacity per Turbine | 5.8 | MW |
Total Installed Capacity | 465 | MW |
Capacity Factor | 0.41 | - |
Parameter | Value | Units |
---|---|---|
Location | Bahía-Piauí States | - |
Concession Owner | Neoenergia | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 103 | - |
Turbines Manufacturer | GE Energy | - |
Diameter of Turbines | 158 | m |
Hub Height | 100–160 | m |
Installed Capacity per Turbine | 5.5 | MW |
Total Installed Capacity | 566.5 | MW |
Capacity Factor | 0.39 | - |
Parameter | Value | Units |
---|---|---|
Location | Paraíba | - |
Concession Owner | Neoenergía | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 136 | - |
Turbines Manufacturer | Siemens-Gamesa | - |
Diameter of Turbines | 132 | m |
Hub Height | 120–150 | m |
Installed Capacity per Turbine | 3.4 | MW |
Total Installed Capacity | 571.2 | MW |
Capacity Factor | 0.43 | - |
Parameter | Value | Units |
---|---|---|
Location | Rio Grande do Sul | - |
Concession Owner | CGT Eletrosul and Omega Geração | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 302 | - |
Turbines Manufacturer | GE Energy | - |
Diameter of Turbines | 100 | m |
Hub Height | 80–120 | m |
Installed Capacity per Turbine | 2.0 | MW |
Total Installed Capacity | 582.8 | MW |
Capacity Factor | 0.35 | - |
Parameter | Value | Units |
---|---|---|
Location | Bahía State | - |
Concession Owner | Engie Brazil | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 207 | - |
Turbines Manufacturer | Vestas | - |
Diameter of Turbines | 122 | m |
Hub Height | 100–120 | m |
Installed Capacity per Turbine | 3.3 | MW |
Total Installed Capacity | 687.9 | MW |
Capacity Factor | 0.41 | - |
Parameter | Value | Units |
---|---|---|
Location | Bahía State | - |
Concession Owner | Produção independente de energia elétrica (PIE) | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 200 | - |
Turbines Manufacturer | Acciona | - |
Diameter of Turbines | 125 | m |
Hub Height | 100–125 | m |
Installed Capacity per Turbine | 3.6 | MW |
Total Installed Capacity | 724.5 | MW |
Capacity Factor | 0.41 | - |
Parameter | Value | Units |
---|---|---|
Location | Bahía State | - |
Concession Owner | Omega Geração | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 202 | - |
Turbines Manufacturer | Siemens-Gamesa | - |
Diameter of Turbines | 145 | m |
Hub Height | 100–120 | m |
Installed Capacity per Turbine | 4.0 | MW |
Total Installed Capacity | 808.1 | MW |
Capacity Factor | 0.41 | - |
Parameter | Value | Units |
---|---|---|
Location | Rio Grande do Norte State | - |
Concession Owner | Casa dos Ventos | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 240 | - |
Turbines Manufacturer | Vestas | - |
Diameter of Turbines | 150 | m |
Hub Height | 90–110 | m |
Installed Capacity per Turbine | 4.2 | MW |
Total Installed Capacity | 1038 | MW |
Capacity Factor | 0.37 | - |
Parameter | Value | Units |
---|---|---|
Location | Piauí State | - |
Concession Owner | Enel Green Power | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 302 | - |
Turbines Manufacturer | Acciona | - |
Diameter of Turbines | 145 | m |
Hub Height | 90–110 | m |
Installed Capacity per Turbine | 3.5 | MW |
Total Installed Capacity | 1063.05 | MW |
Capacity Factor | 0.39 | - |
Parameter | Value | Units |
---|---|---|
Location | Bahía State | - |
Concession Owner | Renova Inc | - |
Type of Wind Farm | Onshore | - |
Number of Turbines | 565 | - |
Turbines Manufacturer | GE Energy | - |
Diameter of Turbines | 155 | m |
Hub Height | 100–120 | m |
Installed Capacity per Turbine | 2.0 | MW |
Total Installed Capacity | 1073.5 | MW |
Capacity Factor | 0.41 | - |
Number | Wind Farm Name | State | Concession Owner | Installed Capacity (MW) |
---|---|---|---|---|
1 | Alto do Sertao | Bahia | Renova Energía/Renova Inc | 1073.5 |
2 | Lagoa dos Ventos | Piaui | Enel Green Power | 1063.05 |
3 | Rio do Vento | Rio Grande do norte | Casa dos ventos, Salus, Perfin Ares | 1038 |
4 | Assuruá | Bahia | Omega Geração | 808.1 |
5 | Ventos de Santa Luzia | Bahia | Produção independente de energia elétrica (PIE) | 724.5 |
6 | Campo Largo | Bahia | Engie Brasil | 687.9 |
7 | Chuí | Rio Grande do Sul | Omega Geração | 582.8 |
8 | Chafariz | Paraiba | Neoenergia | 571.2 |
9 | Oitis | Bahia-Piauí | Neoenergia | 566.5 |
10 | Ventos de São Vitor | Bahia | Essentia Energia | 465 |
Total Installed Capacity | 7580.55 |
Ranking | State | Total Installed Capacity (GW) | Distribution (%) | Number of Onshore Wind Farms | Number of Turbines |
---|---|---|---|---|---|
1 | Bahía | 9.87 | 32.4 | 300 | 3050 |
2 | Rio Grande do Norte | 8.33 | 27.4 | 276 | 2503 |
3 | Piaui | 4.58 | 15.0 | 125 | 1783 |
4 | Ceará | 3.29 | 10.8 | 105 | 1460 |
5 | Rio Grande do Sul | 1.83 | 6.0 | 90 | 1022 |
6 | Pernambuco | 1.06 | 3.5 | 50 | 588 |
7 | Paraíba | 0.76 | 2.5 | 39 | 282 |
8 | Maranhao | 0.43 | 1.4 | 18 | 172 |
9 | Santa Catarina | 0.24 | 0.8 | 15 | 174 |
10 | Sergipe | 0.05 | 0.2 | 1 | 23 |
Total | 30.44 | 100 | 1019 | 11,057 |
Number | Offshore Wind Farm Name | Region | Concession Owner | Unit Capacity (MW) | Number of Turbines | Installed Capacity (MW) |
---|---|---|---|---|---|---|
1 | Ventos do Sul | South | Ventos do Atlantico | 13.5 | 482 | 6507 |
2 | Alpha | Northeast | Alpha Wind Morro Branco | 15 | 400 | 6000 |
3 | Farol Wind Power | Northeast | SPE Bravo Vento | 15 | 380 | 5700 |
4 | Marine Vortice WOS | South | SPE Bravo Vento. | 15 | 348 | 5220 |
5 | Ventos do Atlantico | Southeast | Ventos do Atlantico | 13.5 | 371 | 5008 |
6 | Asa Branca III | Northeast | Eólica Brasil | 15 | 288 | 4320 |
7 | Asa Branca IV | Northeast | Eólica Brasil | 15 | 288 | 4320 |
8 | Costa Nordeste Offshore | Northeast | Geradora Eólica Brigadeiro I | 15 | 256 | 3840 |
9 | Aracatu | Southeast | Equinor Brasil Energia | 12 | 320 | 3840 |
10 | Turmalina | South | Bluefloat Energy do Brasil | 20 | 159 | 3180 |
11 | Projeto Pecém | Northeast | Shell Brasil Petróleo | 14 | 215 | 3010 |
12 | Projeto Açu | Southeast | Shell Brasil Petróleo | 14 | 215 | 3010 |
13 | Projeto Galinhos | Northeast | Shell Brasil Petróleo | 14 | 215 | 3010 |
14 | Projeto White Shark | South | Shell Brasil Petróleo | 14 | 215 | 3010 |
15 | Jangada | Northeast | Neoenergia Renováveis | 15 | 200 | 3000 |
16 | Sopros do Ceará | Northeast | Totalenergies Petroleo and Gas Brasil | 15 | 200 | 3000 |
17 | H2GPCEA | Northeast | H2 Green Power Ltd.a. | 15 | 200 | 3000 |
18 | Araras Geraçao Eólica Offshore | Northeast | Shizen Energía do Brasil | 15 | 200 | 3000 |
19 | Mar de Minas II | Northeast | CEMIG Geraçao e Transmissão SA | 15 | 200 | 3000 |
20 | Amazonita | South | Bluefloat Energy do Brasil | 20 | 150 | 3000 |
Total Installed Capacity Projected | 77,795 |
Technology | Estimated LCOE (USD/MWh) |
---|---|
Onshore wind energy | 45–80 |
Offshore wind energy (fixed) | 100–165 |
Offshore wind energy (floating) | 140–225 |
Advantages | Disadvantages |
---|---|
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Cacciuttolo, C.; Navarrete, M.; Cano, D. Advances, Progress, and Future Directions of Renewable Wind Energy in Brazil (2000–2025–2050). Appl. Sci. 2025, 15, 5646. https://doi.org/10.3390/app15105646
Cacciuttolo C, Navarrete M, Cano D. Advances, Progress, and Future Directions of Renewable Wind Energy in Brazil (2000–2025–2050). Applied Sciences. 2025; 15(10):5646. https://doi.org/10.3390/app15105646
Chicago/Turabian StyleCacciuttolo, Carlos, Martin Navarrete, and Deyvis Cano. 2025. "Advances, Progress, and Future Directions of Renewable Wind Energy in Brazil (2000–2025–2050)" Applied Sciences 15, no. 10: 5646. https://doi.org/10.3390/app15105646
APA StyleCacciuttolo, C., Navarrete, M., & Cano, D. (2025). Advances, Progress, and Future Directions of Renewable Wind Energy in Brazil (2000–2025–2050). Applied Sciences, 15(10), 5646. https://doi.org/10.3390/app15105646