Onshore Wind Research Articles

Biodiversity impacts of Norway's renewable electricity grid

Norway aims to transform into a low-emission nation by 2050. However, the energy transition comes with challenges, as expanding renewable energy infrastructure requires significant land areas, which raises concerns about associated environmental impacts, particularly on species richness. The first system-wide life cycle assessment (LCA) approach that integrates multiple biodiversity models is presented, evaluating the current effects of renewable energy production and transmission in Norway. The impacts of Norwegian hydropower and onshore wind power plants are quantified, which contribute 98% of Norway's electricity generation. Additionally, the effects of power lines are included to assess the spatial origins of the biodiversity impacts derived from both energy production and transmission relative to where electricity was transmitted to and consumed in Norway. The analyses show that hydropower exerts the most substantial impact on species richness and that the electric grid affects mostly mammal richness due to habitat conversion and fragmentation. As energy production primarily originates in western-central and northern Norway, regions with low electricity generation, such as south-east Norway, import a substantial share of the biodiversity impacts for their energy consumption. However, integrating an international dimension is crucial, as multiple European countries exchange energy with Norway, and thus also contribute to the pressure on local species richness. The results present the current operational impacts on biodiversity caused by Norway's electricity system. Since Norway intends to increase its renewable energy production capacity in the coming decades, this approach can serve as an instrument for developing scenarios to assess the future construction of hydropower, onshore wind power, and power lines. It can help shape Norway's energy future, ensuring a holistic approach that integrates impacts on species diversity and promotes an environmentally friendly energy transition. While focused on Norway, the methodology is adaptable to other regions if the required data is available.

Life Cycle Assessment of Abandonment of Onshore Wind Power for Hydrogen Production in China

The development of clean energy is a crucial strategy for combating climate change. However, the widespread adoption of wind power has led to significant challenges such as wind curtailment and power restrictions. A potential solution is the abandonment of onshore wind power for hydrogen production (AOWPHP). To ensure the sustainable development of clean energy, it is essential to assess the environmental impact of the AOWPHP. This study employs a life cycle assessment (LCA) methodology to evaluate the environmental impacts of the AOWPHP using QDQ2-1 alkaline electrolyzer technology in China. Furthermore, a scenario analysis is conducted to project these environmental impacts over the next 30 years. The findings indicate the following: (1) The global warming potential (GWP) over the life cycle is 5614 kg CO2-eq, the acidification potential (AP) is 26 kg SO2-eq, the human toxicity potential (HTP) is 12 kg DCB-eq, and the photochemical ozone creation potential (POCP) is 3.77 × 10−6 kg C2H4-eq. (2) Carbon emissions during the production stage significantly contribute to the environmental impact, with steel and concrete being notably polluting materials. The POCP shows high sensitivity at 0.97%, followed by the GWP and AP. (3) The scenario analysis indicates an upward trend in environmental impacts across low-speed, baseline, and high-speed development scenarios, with impacts peaking by 2050. For instance, under the high-development scenario in 2050, the GWP for each material reaches 41,808 kg CO2-eq. To mitigate these impacts effectively, recommendations include reducing reliance on steel and concrete, developing green logistics, enhancing operational efficiency in wind farms and hydrogen production plants, and exploring new epoxy resin materials. These insights are crucial for promoting sustainable growth within the AOWPHP in China while reducing global carbon emissions.

P2M systems based on proton-conducting solid oxide cells: Future prospects and costs of renewable methanol production

As consequence of the transition towards sustainable energy sources, the future production of liquid energy carriers (e.g. methanol) via H2 supply pathways utilizing water electrolyzers (power-to-liquid) will most likely be based on fluctuating grid electricity or islanded renewable inputs. As a result, these production processes are subject to fluctuating operating conditions and varying production capacities, ultimately leading to uncertainties with respect to their process economics and profitability. Therefore, the impact of different electricity supply-side scenarios (static grid and intermittent grid or renewable supply) on the production economics of power-to-liquid processes needs to be assessed thoroughly for the upcoming decades. Methanol is considered as an essential base chemical which is widely known for its versatility and broad potential use contexts in future chemical industries and energy storage applications. Methanol production pathways powered by renewable electricity sources, also known as power-to-methanol processes, are characterized by low specific life-cycle emissions and are therefore of paramount interest. One possible renewable process chain features proton-conducting high temperature electrolyzers combined with a direct hydrogenation of CO2. In this paper, a techno-economic forecast study of this process chain is presented and specific production costs of renewable methanol under different electricity supply scenarios are determined and discussed for the years 2030 and 2050. The studies showed that flexible grid-supported scenarios through direct spot-market participation and renewable scenarios based on wind onshore production enable the largest production cost reduction potential in the upcoming decades. Minimum production costs of 740 € t−1MeOH (2030) and 415 € t−1MeOH (2050) are determined for a flexible operation of the system with spot-market participation, benefitting from times of low or even negative electricity prices. Among the renewable production scenarios, islanded power-to-methanol systems coupled to wind onshore plants were identified as the most beneficial configuration with ascertained production costs as low as 820 € t−1MeOH and 353 € t−1MeOH by 2030 and 2050, respectively.

Assessment of Onshore Wind Farm Performance to Geometric Layout Choices by Utilizing Mesoscale Modelling Techniques

Assessment of Onshore Wind Farm Performance to Geometric Layout Choices by Utilizing Mesoscale Modelling Techniques

Climatology of sea breeze over Jiangsu coast: An overview from the ERA5 reanalysis

AbstractThe sea breeze characteristics for 30 years of summer (1981–2010) in the coastal region of Jiangsu Province were analysed in this study, using the four‐step filter method based on ECMWF Fifth‐Generation Reanalysis (ERA5) data. The results showed that the filtering method reasonably identified three types of sea breeze. Additionally, approximately 23% of the total summer days remained; the corkscrew type dominates the three types of sea breeze; and the backdoor sea breeze was the least common. Except for the type of backdoor sea breeze, the other two types had relatively fixed dominant weather types on three coastlines. The synoptic weather patterns in the 500‐hPa level corresponding to each sea breeze type were different. Further, the details of the diurnal cycle of lower tropospheric circulation indicated the strength of the onshore wind and the location of the large potential temperature gradient at noon being influenced by sea breeze type and coastal location. The wind strength for the three types of sea breeze on the middle coastline was stronger than that on the other two coastlines. On the three coastlines, strong onshore winds were concentrated in areas near the coastline, where they reached their maximum strengths around noon. On the southern coastline, strong onshore winds moved further inland.

Why does community ownership foster greater acceptance of renewable projects? Investigating energy justice explanations

ABSTRACT The fact that community ownership increases the social acceptability of renewable energy projects is well established, but there is a lack of empirical evidence to explain why this is the case. This study examines whether energy justice factors (fair involvement, fair distribution of benefits and perceived impacts from wind turbines) can help explain this relationship, whether these factors are interrelated, and whether different ownership structures (community, shared or private ownership) change these associations. Using a postal survey of residents in Scotland (n = 320), the study employs a novel method, Multigroup-Structural Equation Modelling, to investigate these questions. This modelling reveals that acceptance of these projects was influenced by factors of energy justice (i.e. fair involvement, fair benefits and perceived impacts), but the influence from each factor depended on the ownership structure. Specifically, those near the community-owned project prioritised involvement, those near the privately-owned valued fair benefits, and those near the shared ownership prioritised both. By examining the relationships amongst energy justice factors, the real-life complexity of people’s responses to wind energy projects is revealed, whereby factors can have knock-on effects. Importantly, this study finds that the community and shared ownership projects fostered greater community acceptance than the privately-owned because they had more instances where fair involvement influenced other factors, which led to greater overall acceptance. Although community involvement may seem time-consuming, a more inclusive approach can prevent long-term issues caused by local opposition. Policy Highlights Community ownership of renewable energy projects leads to greater acceptance by local residents, as long as the projects meet their expectations. Energy justice plays a crucial role in acceptance of onshore wind energy projects, but residents prioritise different aspects depending on ownership. Policymakers and developers should take into account the preferences and concerns of local residents when designing renewable projects, especially in terms of fair involvement and fair distribution of benefits. Better support for communities and developers is essential if the Scottish Government want shared ownership offered on all new projects.

A novel hydrogen supply chain optimization model – Case study of Texas and Louisiana

The increasing political momentum advocating for decarbonization efforts has led many governments around the world to unveil national hydrogen strategies. Hydrogen is viewed as a potential enabler of deep decarbonization, notably in hard-to-abate sectors such as the industry. A multi-modal, hourly resolved, linear programming model was developed to assess the infrastructure requirements of a low-carbon supply chain over a large region. It optimizes the deployment of infrastructure from 2025 up to 2050 by assessing four years: 2025, 2030, 2040, and 2050, and is location agnostic. The considered infrastructure encompasses several technologies for production, transmission, and storage.Model results illustrate supply chain requirements in Texas and Louisiana. Edge cases considering 100% electrolytic production were analyzed. Results show that by 2050, with an assumed industrial demand of 276 TWh/year, Texas and Louisiana would require 62 GW of electrolyzers, 102 GW of onshore wind, and 32 GW of solar panels. The resulting levelized cost of hydrogen totaled $5.6–6.3/kgH2 in 2025, decreasing to $3.2–3.5/kgH2 in 2050. Most of the electricity production occurs in Northwest Texas thanks to high capacity factors for both renewable technologies. Hydrogen is produced locally and transmitted through pipelines to demand centers around the Gulf Coast, instead of electricity being transmitted for electrolytic production co-located with demand. Large-scale hydrogen storage is highly beneficial in the system to provide buffer between varying electrolytic hydrogen production and constant industrial demand requirements. In a system without low-cost storage, liquid and compressed tanks are deployed, and there is a significant renewable capacity overbuild to ensure greater electrolyzer capacity factors, resulting in higher electricity curtailment.A system under carbon constraint sees the deployment of natural gas-derived hydrogen production. Lax carbon constraint target result in an important reliance on this production method due to its low cost, while stricter targets enforce a great share of electrolytic production.

A Comparative Study on Wind Profiles and Surface Aerodynamic Parameters of Typhoons Over Coastland and Coastal Sea

AbstractUnderstanding the aerodynamic characteristics of landfalling typhoons is of great importance for both wind engineering and meteorology. This study comparatively investigated the near‐surface wind profiles and aerodynamic parameters over coastland and coastal sea areas using typhoon observational data collected by Doppler wind lidars and wind tower anemometers during the passage of 15 typhoons that made landfall over China during 2009–2020. Specifically, the three surface aerodynamic parameters of roughness length, friction velocity, and drag coefficient (Cd) were obtained using the logarithmic law wind profile method. Results showed that the near‐surface wind profiles became much closer to the power law wind profile with increase in wind speed. The values of roughness length and friction velocity over the coastal sea were found to exceed those over coastland areas when the 10‐m wind speed (U(10)) was larger than 18 m s−1. The critical wind speed at which Cd peaks over the coastal sea was found to be 24 m s−1. There are two peaks in the variation of Cd with U(10) under the condition of onshore wind over the sea, which has never been reported in previous observational studies. Finally, a formula for Cd was proposed to describe the variation in Cd with U(10) under the condition of onshore wind over land, which is expected to be applied in the typhoon surface layer scheme to improve numerical simulation of landfalling typhoons.

Global Review on Environmental Impacts of Onshore Wind Energy in the Field of Tension between Human Societies and Natural Systems

Deploying onshore wind energy as a cornerstone of future global energy systems challenges societies and decision-makers worldwide. Expanding wind energy should contribute to a more sustainable electricity generation without harnessing humans and their environment. Opponents often highlight the negative environmental impacts of wind energy to impede its expansion. This study reviews 152 studies to synthesize, summarize, and discuss critically the current knowledge, research gaps, and mitigation strategies on the environmental impacts of onshore wind energy. The investigated effects comprise impacts on the abiotic and biotic environment, with birds and bats in particular, noise and visual impacts. Effects are discussed in the context of social acceptance, other energy technologies, and wind energy expansion in forests. This review illustrates that many effects are highly case-specific and must be more generalizable. Studies are biased regarding the research focus and areas, needing more standardized research methods and long-term measurements. Most studies focus on the direct mortality of birds and bats at wind farms and are concentrated in Europe and North America. Knowledge gaps persist for many impact categories, and the efficacy of mitigation strategies has yet to be proven. More targeted, unbiased research is required that allows for an objective evaluation of the environmental impacts of wind energy and strategies to mitigate them. Impacts, such as those on biodiversity, need to be addressed in the context of other anthropogenic influences and the benefits of wind energy. This forms the basis for a socially acceptable, efficient, and sustainable expansion of wind energy.

Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany

Onshore wind turbines in Europe are increasingly reaching the end of their first lifecycle. Their pathways after decommissioning call for the establishment of circular supply chains (e.g. refurbishment or recycling facilities). Reliable component and material flow forecasts are particularly crucial for the development of blade-recycling capacity, as such facilities still need to be established. However, current forecasts assume a static decommissioning time and neglect a second lifecycle for the wind turbines and their blades, which has resulted in potential recycling quantities being over-estimated. This study overcomes these issues by (i) collecting empirical data on the circular economy pathways taken by decommissioned onshore wind turbines in the mature onshore wind markets of Denmark and Germany, and by (ii) proposing a new component and material flow forecasting model for the more reliable planning of blade-recycling capacity. The results reveal that ∼50–60 % of decommissioned onshore wind turbines in Denmark and Germany were exported mainly to other European countries. If the second lifecycle practices of the past are continued in the future, annual blade masses for domestic recycling are expected to range between ∼380–770 tonnes for Denmark and ∼4400–11,300 tonnes for Germany in the next ten years. This study finds that the threshold values of blade volumes for an economically viable blade-recycling facility can be reached in Germany with its large operating wind-turbine fleet, but the recycling of Danish wind turbine blades would have to rely on aggregating resource flows from other countries or industries. By modelling the cascading order of a sustainable circular economy and the EU Waste Hierarchy Directive, this study improves the decision-making basis for policy makers and companies to achieve sustainable resource use along the wind industry's entire value chain.

The response of sediment transport and morphological evolution to storms with different characteristics

Strong wave-current interaction under the impact of storm events can induce a series of complex sedimentary processes of sediment resuspension and transport and morphology changes, significantly changing the topography of coastal zones. However, coastal sedimentary processes during storm events have not been fully understood. In this study, we developed a wave-current-sediment coupled model to investigate the response of dynamical processes to extreme storm events. The model was first validated against the observed data for both storm conditions during the 2007 Typhoon Wipha and fair-weather conditions in 2016 in the Haizhou Bay (HZB) of the Yellow Sea. The simulated results indicated that the longshore sediment transport was dominated originally by tidal effects which were significantly enhanced by wind-induced waves during the passage of the Typhoon Wipha. Storms with different characteristics correspond to two typical sedimentary dynamic response modes based on a series of numerical experiments. The tidal pumping effect (T3 + T4 + T5) and gravitational circulation term (T6) controlled the total storm-induced sediment flux, and T6 played a crucial and special role, typically in the opposite direction of the dominant wind of the storm. The strong wind could lead to the stratification of the water column, causing the down-slope or up-slope cross-shore sediment transport, resulting in coastal seabed erosion/deposition. In addition, the onshore wind was found to have a stronger impact on the sedimentary process. The methodology and findings of this study provide a scientific basis for understanding the response mechanism of sediment transport during storm events in coastal areas.

Optimal design of a hinge-spring-friction device for enhancing wind induced structural response of onshore wind turbines

Wind turbines are subjected to fluctuating wind loads leading to considerable forces and structural fatigue to the towers, ultimately affecting costs, performances, and lifespan, for the tower as well as for the foundation. To mitigate these issues, both in terms of peak and fatigue structural demand, this paper presents the development and optimization of a Hinge-Spring-Friction Device (HSFD) designed for onshore wind turbines. A decoupled numerical model of the wind turbine system incorporating the HSFD is first established. The wind load is modelled by means of the open-source software QBlade© accounting for different wind conditions. These loads are then applied to a FEM structural model of the wind turbine developed in Simulink© and optimized for computational efficiency. The optimal design parameters (strength and stiffness of the frictional and elastic part, respectively) of the HSFD are determined through a multi-objective constrained optimization algorithm, minimizing the peak base moment and total damage fatigue. The proposed framework is then applied to a NREL 5 MW wind turbine to provide an applicative example. The results show that the optimized HSFD can significantly reduce the fatigue damage and the base moment demand to the tower, so providing a really promising solution for the effective design of wind turbines as well as for the repowering of existing plants.

Environmental variables driving horseshoe crab spawning behavior in a microtidal lagoon in Florida.

The timing of American horseshoe crab (Limulus polyphemus) spawning behavior along the coast of Florida (United States) is generally associated with the highest tides during the spring and fall lunar cycles. All Florida estuaries support horseshoe crab populations, but tidal characteristics vary markedly among locations, which may influence the timing of horseshoe crab spawning behavior. The Indian River Lagoon is a large microtidal estuary on Florida's east coast. Given the microtidal nature of the lagoon, it is unclear which environmental factors affect horseshoe spawning. In 2019, volunteers of Florida Horseshoe Crab Watch conducted daily surveys at two sites in the northern Indian River Lagoon during peak spawning months (February-April). During each survey, volunteers counted all spawning horseshoe crabs and recorded environmental variables, including water temperature, air temperature, wind speed, wind direction, salinity, and tide height. We developed a suite of negative-binomial regression models to quantify relationships between the number of spawning horseshoe crabs and environmental factors. Modeling results indicated a positive relationship between onshore wind speed and number of spawning horseshoe crabs. Our study suggests that in the absence of tidal cues, onshore wind speed may be an important driver of horseshoe crab spawning activity in microtidal estuarine systems.

Detection and validation of common noctule bats (Nyctalus noctula) with a pulse radar and acoustic monitoring in the proximity of an onshore wind turbine.

This paper presents the results of bats detected with marine radar and their validation with acoustic detectors in the vicinity of a wind turbine with a hub height of 120 m. Bat detectors are widely used by researchers, even though the common acoustic detectors can cover only a relatively small volume. In contrast, radar technology can overcome this shortcoming by offering a large detection volume, fully covering the rotor-swept areas of modern wind turbines. Our study focused on the common noctule bats (Nyctalus noctula). The measurement setup consisted of a portable X-band pulse radar with a modified radar antenna, a clutter shielding fence, and an acoustic bat detector installed in the wind turbine's nacelle. The radar's detection range was evaluated using an analytical simulation model. We developed a methodology based on a strict set of criteria for selecting suitable radar data, acoustic data and identified bat tracks. By applying this methodology, the study data was limited to time intervals with an average duration of 48 s, which is equal to approximately 20 radar images. For these time intervals, 323 bat tracks were identified. The most common bat speed was extracted to be between 9 and 10 m/s, matching the values found in the literature. Of the 323 identified bat tracks passed within 80 m of the acoustic detector, 32% had the potential to be associated with bat calls due to their timing, directionality, and distance to the acoustic bat detector. The remaining 68% passed within the studied radar detection volume but out of the detection volume of the acoustic bat detector. A comparison of recorded radar echoes with the expected simulated values indicated that the in-flight radar cross-section of recorded common noctule bats was mostly between 1.0 and 5.0 cm2, which is consistent with the values found in the literature for similar sized wildlife.

Development of the Polish Power Sector towards Energy Neutrality—The Scenario Approach

This article discusses three scenarios for the transformation of the Polish power system leading to the achievement of climate neutrality through investment in renewable energy sources. The scenarios differ in terms of the role played by the selected energy technologies. The scenarios were developed using the balancing tool, the Simulator Polish Power System, which analyzed the development of the national power system in terms of optimal costs of achieving climate neutrality and the lowest possible price of electricity generation. The research shows that under Polish climatic conditions, 100% RES energy can be achieved in the balance, but ensuring the continuity of energy supply, which in future will be generated mainly from this type of source, requires the participation of controllable sources such as gas-fired power plants powered by biomethane and energy storage facilities. The scenarios assume balancing RES sources with 15–25 GW of available gas sources and 40 GWh in electricity storage. The article also discusses factors limiting the suggested scenarios, such as the availability of sustainable biomethane in Poland or limitations associated with the possibility of building onshore and offshore wind turbines.

Wake steering experiments in onshore and offshore wind farms

Over the past years, wake steering has been the subject of much research in the wind industry. Multiple academic publications have shown results from high fidelity simulations (such as SOWFA), engineering simulations (such as FLORIS) or from field tests. Most of this research is focused on the power increase as it is the main goal of wake steering. However, other key topics need to be covered upfront. Wake Adapt is the product developed by Siemens Gamesa Renewable Energy that applies wake steering at commercial level. As presented in this paper, some prerequisites are needed before Wake Adapt installation to ensure the wind turbines are calibrated to apply the optimum yaw offsets. The increase in energy is not without costs: yaw activity is increasing which impacts the maintenance costs. Wake Adapt loads must be assessed, and it has been shown that Wake Adapt loads cases are covered by design loads of the turbines. On the modelling side, the Wake Adapt yaw offsets are generated using some engineering models well known by the scientific community. Some robustness is added to the Yaw Offset Lookup Table to ensure that the optimum yaw offsets calculated in steady-state conditions are still optimum with unsteady conditions. Finally, in order to measure the Wake Adapt benefit, a Swap Test can be conducted where wind farm power output with and without Wake Adapt are compared following a certain procedure, especially if the predicted and measured power benefit needs to be compared. The last section of this paper shows some first tests in an onshore wind farm, as well as the results of a full Swap Test in an offshore wind farm, where the measured gain and the predicted gain shows very similar values.

Reduced-order modelling of floating offshore wind turbine: Aero-hydro-elastic stability analysis

A reduced-order aero-hydro-elastic analysis tool for performing the stability analysis on floating offshore wind turbines is presented. In this work, a high-order non-linear aero-elastic model initially developed for onshore wind turbines is extended by utilizing a super-element body, which models the floating platform, the mooring system and the hydrodynamic contributions. The turbine structure is modelled by a Finite beam Element Method, and the aerodynamic loads are modelled by the Blade Element Momentum method coupled with a Beddoes-Leishman type dynamic stall model in a state-space formulation. The linearization is performed around steady state equilibrium at any given mean wind speeds, rotor speeds and collective blade pitch angles utilizing Coleman transformation to remove the periodic terms. The order reduction is based on two projections to reduce the number of structural states and aerodynamic states separately using the structural modal project matrix and the aerodynamic shape functions. Concurrently, we investigate the effect of unsteady aerodynamic states on the stability analysis of a floating wind turbine. The results show the low-order aero-hydro-elastic model expands the scope of numerical tools available for conducting structural modal analysis and aero-hydro-elastic stability analysis on floating wind turbines.

Development of a FW-H tool coupled with CFD for infrasound noise emissions from wind turbines

Noise remains an obstacle to the advancement of onshore wind energy. Despite the ongoing debate on the effects of infrasound on human health, especially from wind turbines, there is consensus that the blade passing frequency (BPF) in the infrasound range modulates the audible higher-frequency sound and creates a rhythmic “swishing” sound at farther distances. This paper presents a simulation framework for assessing infrasound noise (<20 Hz) from wind turbines, which was designed to capture the relevant physics without incurring in overwhelming computational costs. The flow is modelled using large eddy simulation (LES) and is coupled through an actuator line method (ALM) to the aeroelastic model of a wind turbine. The use of an ALM significantly reduces the computation effort compared to blade-resolved CFD approaches. Moreover, the Ffowcs Williams-Hawkings (FW-H) acoustic analogy is applied on a permeable integration surface that surrounds the entire wind turbine, thereby capturing the coupled effects of rotor, tower, and the near-wake turbulence shed by the turbine. The present approach is shown to be capable of resolving rotor-tower interactions as tonal peaks at BPF and its harmonics, enabling the evaluation of design and control measures to mitigate infrasound noise emissions from wind turbines.

Further improvements to the double-Gaussian wake model

In onshore wind farms, the turbine-to-turbine distance can be in the order of three diameters or less. In these circumstances, traditional wake models, developed for the far wake region, lose accuracy. The double-Gaussian wake model is an approach to extend algebraic wake modelling to the near wake region, where the wake is not yet self-similar. In this work, the double-Gaussian wake model is advanced by performing large eddy simulations of a reference wind turbine and a scaled wind turbine model to investigate how the thrust coefficient and the turbulence intensity influence the near wake and wake recovery. Results show that in the near wake the maximum velocity deficits move towards the outer part of the rotor with an increasing thrust coefficient. Thus, a thrust coefficient dependent position of the double-Gaussian peaks is proposed. In addition, a wake expansion function including turbulence intensity and thrust coefficient is tuned. The new model proves to be capable of predicting the wake of different turbine models under various ambient conditions and operational states.

Vibration Control of Wind Turbines through a Novel Reduced Column Section Approach: Numerical Application to the Onshore Wind Turbine in Sassoferrato, Italy

Vibration Control of Wind Turbines through a Novel Reduced Column Section Approach: Numerical Application to the Onshore Wind Turbine in Sassoferrato, Italy