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Open research questions in Wind Energy Research and Development

25 unresolved questions extracted from the limitations and future-work sections of 356 Wind Energy Research and Development papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • 8 m/s intake capacity, venting throat overspill laterally so the fans may be loaded as turbines in near-free stream rather than being limited to the pressure surplus above system resistance (disclosure 3); extending fan regeneration from the ~12 m/s threshold of the fixed configuration to ~8 m/s, at C_p 0.

    ALLFROMAIR® TERRA² Technical Addendum 7: Wind-Assisted Aeraulic Drive, Bidirectional Fan Regeneration, Power-Inlet Pressure-Recovery Cowling, Reduced-Component ECO Operation & Goldilocks Site-Selection Framework · 2026 · DOI

  • The author has not declared any conflict of interests. The grid integration and energy storage analysis revealed that Nigeria’s existing grid constraints pose significant challenges to the integration of variable energy sources like wind power. The study highlights the importance of investment in grid infrastructure, smart-grid technologies, and energy storage systems to support the integration of wind energy. In light of these findings, this study has the following recommendations: 1) Develop a national wind energy policy: The Nigerian government, through the Ministry of Power, should develop a national wind energy policy, including specific targets and incentives. The policy should set a target of 5GW of wind energy capacity by 2030 and provide a framework for achieving this goal. 2) Introduce a wind energy-specific FIT Scheme: The Nigerian Electricity Regulatory Commission (NERC) should introduce a wind energy-specific FIT scheme, with a tariff range of $0.10-$0.15/kWh, to promote wind energy development. 3) Invest in grid infrastructure and energy storage: The Rural Electrification Agency (REA) should prioritize investments in grid infrastructure, smart-grid technologies, and energy storage systems, with a focus on rural areas, to support the integration of wind energy. 4) Develop wind energy-specific curricula: The Federal Ministry of Education should develop and implement wind energy-specific curricula in universities and technical colleges to enhance technical capacity. 5) Establish a wind energy development fund: The Nigerian government, through the Ministry of Finance, should establish a wind energy development fund, with an initial capitalization of $100 million, to support project development enhancement instruments. provide credit and These recommendations are designed to promote wind energy development in Nigeria, address the challenges and barriers, and contribute to the country’s energy transition and recommendations are expected to inform policy and decision-making in Nigeria’s wind energy sector, ultimately contributing to the country’s sustainable development goals. findings study’s goals.

    Beyond the breeze: Evaluating Nigeria’s wind energy prospects and policies · 2026 · DOI

  • First, the proposed framework should be validated using a more realistic lidar model and in a higher-fidelity simulation envi- ronment. Additionally, the choice of reference signal needs to be further studied to guarantee the feasibility and optimality of the wind farm per- formance under different wind conditions.

    Lidar-enhanced closed-loop active helix approach · 2026 · DOI

  • Spatial Resolution Constraints: ERA5 data may not fully resolve microscale rooftop flow patterns influenced by individual buildings 2. Urban Canopy Simplification: Surface roughness was parameterized by using land-cover classes rather than explicit 3-dimensional building geometry 3.

    Comparative Analysis of Wind Turbine Blade Design for Urban India · 2026 · DOI

  • Although the proposed framework demonstrates strong potential, several avenues remain open for future exploration and enhancement: 1. Real-World Experimental Validation: Rooftop deployment of VAWTs across representative Indian cities, such as Mumbai, Bengaluru, and Chennai, would enable empirical validation of model predictions and improve calibration at micro-wind scales. Integration with 3-Dimensional Urban Morphology Models: Incorporating building height maps, street canyon effects, and computational fluid dynamics simulations would allow more precise modeling of air- flow distortions caused by dense urban structures. 2. 3. Deep Learning–Based Wind Field Modeling: Advanced neural networks trained on satellite imagery, reanalysis climate data, and temporal weather sequences could further improve wind-speed forecasting and seasonal adaptability. 4. Economic and Structural Feasibility Analysis: Extending the model to include cost estimation, payback period, vibration analysis, rooftop load constraints, and maintenance considerations would enhance its realworld deployment readiness. 5. Hybrid Solar–Wind Optimization Frameworks: Given the dominance of rooftop solar in Indian cities, future work can focus on co-optimizing turbine placement with photovoltaic systems to maximize total renewable yield per unit rooftop area. 6. City-Specific Deployment Guidelines: Developing tailored policy and deployment roadmaps for major metros, such as Delhi, Mumbai, and Bengaluru, could support municipal renewable strategies, subsidy frameworks, and smart-city initiatives. Urban wind energy is not intended to replace large-scale wind farms or solar power installations. Its value lies in augmentation rather than substitution, providing clean, localized energy that integrates seamlessly into the urban rhythm. This research demonstrates that, with intelligent modeling, machine learning–driven insights, and sound engineering principles, Indian cities can transition from passive energy consumers to active participants in renewable generation. As cities continue to expand and digital infrastructure matures, rooftop VAWTs may become a familiar and accepted feature of the urban skyline. The work presented in this study represents a step toward that future, one where India’s cities learn to understand, adapt to, and harness the winds that flow through them every day.

    Comparative Analysis of Wind Turbine Blade Design for Urban India · 2026 · DOI

  • These discrepancies are likely multifactorial, including but not limited to the underpredic- tion of the rotor-averaged TI, underprediction of the wake meandering, neglection of non-axisymmetric wake effects in the Ainslie model, and other simplifying assumptions in the DWM turbulence treatment.

    A multi-fidelity model intercomparison for wake steering of a large turbine in a conventionally neutral atmospheric boundary layer · 2026 · DOI

  • Data-driven methods have been recently applied to extract insights from unsteady wind turbine airfoil loading datasets with high variability, but systematic comparison of different data-driven approaches for characterizing stall cell instability phenomena and their physical mechanisms across multiple thick-airfoil designs remains unexplored.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • Transitional flow modeling (k-kL-ω transition model with RANS) shows good agreement with MEXICO rotor aerodynamic loads, but combination of transition models with higher-fidelity approaches like DDES for wind turbine rotors has not been comprehensively validated across different Reynolds numbers and operational conditions.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • Hybrid turbulence models (DES, DDES) better capture vortex shedding frequencies in wind turbine blade separated flow compared to RANS/URANS, but discrepancies between different turbulence models remain significant at separated flow conditions. Systematic investigation of which hybrid modeling approach best predicts unsteady three-dimensional separated flow structures over rotating wind turbine blades across multiple wind speeds (15-24 m/s) is needed.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • CFD-experimental agreement for wind turbine rotor aerodynamics at stall onset (e.g., 10 m/s for NREL Phase VI) shows overpredictions up to 20% in global loads. Systematic comparison of different turbulence modeling approaches (RANS, URANS, DES, DDES) combined with transition models at the onset of stall for full-scale rotor conditions remains unresolved.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • Wind tunnel wall corrections and viscous endwall effects have significant influence on separated flows in wind turbine testing facilities, but most correction methods have not been adequately validated for three-dimensional separated flow conditions near airfoil-wall junctions. Digital twin CFD simulations of wind tunnel facilities should be systematically developed and validated to predict mounting interference effects before actual wind turbine rotor tests.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • Stall cell instability produces unsteady loading on wind turbine airfoils with highly variable force coefficients at single angles of attack. Current practice of reporting single mean values for force coefficients under these conditions is inadequate; systematic characterization of probability density functions and higher-order statistics across different thickness ratios and Reynolds numbers is needed for wind turbine aerodynamic data.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • Computational domain size significantly affects 2D CFD predictions in separated flow conditions for wind turbine airfoils. Current studies show that computational domains greater than 0.5 chord width improve predictions for both RANS and DES simulations, but systematic investigation of optimal domain sizing across different Reynolds numbers and angle-of-attack ranges for wind turbine airfoils is lacking.

    Wind Tunnel Testing for Wind Energy: A State-of-the-Art Review · 2026 · DOI

  • The effects of vertical-axis turbines, larger building clusters, varying building geometrics, and multiple wind directions remain to be explored.

    On the impact of the interval between buildings with urban vertical farms in elliptical plan layouts to wind energy harvesting: a case study · 2026 · DOI

  • First, only a pair of adjacent buildings was analysed discussing building intervals, and the effects of more complex urban configurations, such as matrix-style building arrays, were not investigated.

    On the impact of the interval between buildings with urban vertical farms in elliptical plan layouts to wind energy harvesting: a case study · 2026 · DOI

  • Turbulent axisymmetric wakes, by contrast, represent an extensively studied canonical free shear flow with much of the progress and its applications to wind turbines limited to the far-wake dynamics.

    Generalised actuator disk theory: wake development with turbulent entrainment · 2026 · DOI

  • The systematic design of individual turbine-level controllers for tracking varying power references under these dynamics remains underexplored, particularly with high-fidelity validation.

    Linear parameter varying based adaptive model predictive control for power down regulation of floating offshore wind turbines in region–3 · 2026 · DOI

  • Abstract The deployment of wind energy in industrial zones with low to moderate wind potential, such as those surrounding Kolkata, West Bengal, presents an underexplored yet promising opportunity for sustainable development.

    Harnessing Wind Power For Industrial Sustainability In Greater Kolkata: A Low-Carbon Circular Economy Perspective · 2026 · DOI

  • The main takeaway is that while the presented models can capture broad trends for the neutral boundary layer case presented here, their quantitative accuracy is limited by the aforementioned reasons.

    A multi-fidelity model intercomparison for wake steering of a large turbine in a conventionally neutral atmospheric boundary layer · 2026 · DOI

  • While the experimental study demonstrates gains for turbines in second or third row, actual implementation in operational wind parks and validation of power output improvements are required.

    Exploring Wake Interactions in a Counterrotating Dual Rotor System for different Yaw configurations: An Experimental Study · 2026 · DOI

  • The study only investigated lateral hub-hub distances of 1.07D; scalability to different spacing configurations and larger wind farm arrays is not addressed.

    Exploring Wake Interactions in a Counterrotating Dual Rotor System for different Yaw configurations: An Experimental Study · 2026 · DOI

  • Vertical investigations of the setup at hub height and above/below hub height are needed to clarify how the lateral wake interaction concepts can be applied in the vertical dimension.

    Exploring Wake Interactions in a Counterrotating Dual Rotor System for different Yaw configurations: An Experimental Study · 2026 · DOI

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25 open questions have been extracted from the limitations and future-work passages of 356 Wind Energy Research and Development papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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