ISSUES AND STRATEGIES FOR IMPROVING THE EFFICIENCY OF WIND POWER PLANTS

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Нариманов . B. . (2025). ISSUES AND STRATEGIES FOR IMPROVING THE EFFICIENCY OF WIND POWER PLANTS. Журнал прикладных и социальных наук, 1(7), 184–186. извлечено от https://www.inlibrary.uz/index.php/jasss/article/view/133694
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Volume 15 Issue 08, August 2025

Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:

6.995, 2024 7.75

http://www.internationaljournal.co.in/index.php/jasass

184

ISSUES AND STRATEGIES FOR IMPROVING THE EFFICIENCY OF WIND POWER

PLANTS

Narimanov Bahodir Absalamovich

Senior Lecturer of the Department of Power Engineering

Jizzakh Polytechnic Institute

The global energy landscape has been undergoing a significant transformation in the past few

decades, driven by the pressing need to reduce greenhouse gas emissions, combat climate change,

and transition toward sustainable sources of power. Among the various renewable energy

technologies, wind power has emerged as one of the most mature and widely deployed solutions.

Wind power plants, often referred to as wind farms, have been installed across diverse

geographic regions, from coastal plains and offshore locations to high-altitude ridges and open

deserts. Despite the rapid growth of this technology and substantial improvements in turbine

design, there remains a constant imperative to further improve the efficiency of wind power

generation. Efficiency, in this context, encompasses not only the ability to extract the maximum

possible energy from the available wind resource but also to minimize losses across the entire

chain of conversion from kinetic wind energy to usable electrical output delivered to the grid.

The following discussion will examine in depth the key issues affecting wind power plant

efficiency, the engineering and operational factors that contribute to these challenges, and the

technical, economic, and policy-oriented solutions that can lead to measurable improvements.

The efficiency of a wind power plant begins with the fundamental physics of energy extraction

from the wind. The kinetic energy of moving air masses is a function of air density, wind speed,

and the swept area of the turbine rotor. According to Betz’s law, the theoretical maximum

fraction of kinetic wind energy that can be captured by a rotor is approximately 59.3%, meaning

that even under ideal conditions, a turbine can never extract all of the energy from the wind. This

physical limit provides a starting point for assessing the practical performance of wind turbines.

In real-world applications, additional losses occur due to aerodynamic inefficiencies, mechanical

friction, electrical conversion losses, and environmental constraints. Blade design, rotor diameter,

hub height, and generator technology all play crucial roles in determining how close a given

turbine can approach its theoretical maximum output. Modern turbines employ advanced blade

aerodynamics, lightweight composite materials, and sophisticated pitch control systems to

maximize capture efficiency over a wide range of wind speeds. Nonetheless, site-specific

conditions such as turbulence intensity, wind shear, and wake effects can significantly degrade

performance, requiring careful consideration in both the planning and operational stages of a

wind farm.

One of the most influential factors in wind plant efficiency is site selection and micro-siting.

While global wind maps and long-term meteorological data can provide general guidance,

detailed local assessments are critical to ensure optimal placement of turbines. The presence of

obstacles such as buildings, hills, or trees can introduce turbulence and reduce wind speed at hub

height, while terrain-induced acceleration effects can sometimes be exploited to increase energy

capture. The spacing between turbines is another critical element, as downstream machines


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Volume 15 Issue 08, August 2025

Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:

6.995, 2024 7.75

http://www.internationaljournal.co.in/index.php/jasass

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experience reduced wind speeds and increased turbulence due to the wake generated by upstream

turbines. Computational fluid dynamics (CFD) simulations, combined with on-site measurement

campaigns using meteorological masts and lidar systems, are increasingly employed to refine

turbine layouts and minimize wake losses. In large wind farms, even small percentage

improvements in annual energy production (AEP) resulting from better siting decisions can

translate into significant economic benefits over the operational lifetime of the project.

Beyond aerodynamic and siting considerations, mechanical and electrical efficiencies within the

turbine itself have a major impact on overall performance. The gearbox, when present, is a

common source of losses and mechanical failure. Some modern designs use direct-drive

permanent magnet generators to eliminate gearbox losses entirely, though these systems can be

heavier and more expensive. Power electronics, such as converters and inverters, also introduce

losses, though advances in semiconductor materials and switching technologies have steadily

improved their efficiency. The electrical balance of plant, including transformers, cabling, and

substations, can account for further losses, particularly in offshore installations where long

transmission distances are involved. Optimizing these components requires a careful trade-off

between cost, weight, reliability, and conversion efficiency.

Operational strategies also play a critical role in enhancing wind farm efficiency. Turbines are

designed to operate across a range of wind speeds, typically with a cut-in speed of around 3–4

meters per second and a cut-out speed of 20–25 meters per second. Between these thresholds,

active control systems adjust blade pitch and yaw orientation to maximize power capture while

limiting structural loads. Advanced supervisory control and data acquisition (SCADA) systems

enable real-time monitoring of turbine performance, allowing operators to detect

underperforming units, identify maintenance needs, and adjust operational parameters. Predictive

maintenance, using data analytics and machine learning to anticipate component failures, can

reduce downtime and maintain higher availability. Curtailment strategies may be employed to

avoid overloading the grid or to reduce noise and wildlife impacts, but these necessarily reduce

output and thus must be balanced against overall efficiency goals.

Environmental and climatic factors impose additional constraints on wind plant efficiency. Air

density decreases with temperature and altitude, reducing the energy available for extraction.

Seasonal variations in wind speed can lead to fluctuating capacity factors, which measure the

actual output of a wind farm relative to its maximum theoretical output. In cold climates, ice

accumulation on blades can drastically reduce aerodynamic performance, necessitating the use of

de-icing systems or specialized coatings. In dusty or desert environments, erosion of blade

surfaces can degrade performance over time, requiring regular cleaning and maintenance.

Offshore wind farms must contend with salt corrosion and challenging sea states, which can

impact both mechanical reliability and access for maintenance crews. Each of these

environmental challenges requires tailored engineering and operational responses to maintain

high efficiency levels.

Technological innovation is central to the ongoing improvement of wind power plant efficiency.

Turbine sizes have grown dramatically over the past two decades, with rotor diameters


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Volume 15 Issue 08, August 2025

Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:

6.995, 2024 7.75

http://www.internationaljournal.co.in/index.php/jasass

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exceeding 160 meters and rated capacities of 10 megawatts or more in the latest offshore models.

Larger rotors capture more energy at lower wind speeds, improving capacity factors and making

wind power more competitive in a wider range of locations. Variable-speed operation allows

turbines to maintain optimal tip-speed ratios across changing wind conditions, further enhancing

energy capture. Advances in blade materials, including carbon fiber composites and adaptive

morphing structures, promise to improve aerodynamic performance while reducing weight.

Digital twins—virtual models of turbines that incorporate real-time operational data—are being

used to simulate performance, optimize maintenance, and identify opportunities for efficiency

gains.

From a systems perspective, the integration of wind power into electrical grids presents both

challenges and opportunities for efficiency improvements. The variable and somewhat

unpredictable nature of wind generation can lead to curtailment if grid operators are unable to

absorb the available output. Energy storage systems, such as batteries or pumped hydro, can help

smooth fluctuations and allow excess energy to be stored for later use. Improved forecasting

techniques, using high-resolution weather models and machine learning algorithms, can enhance

scheduling and dispatch, reducing the need for curtailment and improving the overall utilization

of wind resources. In some cases, hybrid projects that combine wind with solar or other

generation sources can provide a more stable output profile, making better use of transmission

infrastructure and reducing the need for backup generation.

Economic and policy frameworks also influence wind power plant efficiency. Feed-in tariffs,

renewable energy certificates, and auction systems all create different incentives for developers

and operators. In some regimes, the focus may be on maximizing installed capacity, while in

others, the emphasis is on maximizing actual delivered energy. Policies that reward availability,

capacity factor, or reduced curtailment can directly encourage efficiency improvements.

Regulatory requirements for noise, wildlife protection, or visual impact mitigation can impose

operational constraints, which must be addressed through innovative design and control

strategies to minimize efficiency losses while meeting environmental and social objectives.

In conclusion, improving the efficiency of wind power plants is a multifaceted challenge that

requires attention to fundamental physics, advanced engineering design, sophisticated

operational management, and supportive policy frameworks. From optimizing blade

aerodynamics and turbine siting to integrating advanced control systems and predictive

maintenance, each element of the wind energy system offers opportunities for incremental gains.

Collectively, these improvements can lead to significant increases in annual energy production,

reduced costs per unit of electricity, and greater competitiveness for wind power in the global

energy market. As the transition toward a low-carbon energy future accelerates, continued

investment in research, innovation, and best practices for wind power efficiency will be essential

to maximizing the contribution of this vital renewable resource.

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