Evaluation of the variability of wind speed at different heights and its impact on the receiver efficiency of central receiver systems

Delgado, Anna; Gertig, C.; Blesa, E.; Loza, A.; Hidalgo, Carlos; Ron, R.

doi:10.1063/1.4949063

Cited by 18 publications

(7 citation statements)

References 6 publications

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“…Contrary to the use of predefined wind direction and wind coefficients to estimate wind speed, the best practice in the field of wind energy is to make different measurements of wind speeds at different heights and to obtain the height of the wind shear coefficient at a specific interval from the power law, as shown below. The following formula is adopted to assess the inconsistency of wind-based on its up-height [49][50][51].…”

Section: Wind Extraction Methodsmentioning

confidence: 99%

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

et al. 2020

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To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries. The increasing demand for renewable energy sources, such as wind, has created interest in the economic and technical issues related to the integration into the power grids. Having an intermittent nature and wind generation forecasting is a crucial aspect of ensuring the optimum grid control and design in power plants. Accurate forecasting provides essential information to empower grid operators and system designers in generating an optimal wind power plant, and to balance the power supply and demand. In this paper, we present an extensive review of wind forecasting methods and the artificial neural network (ANN) prolific in this regard. The instrument used to measure wind assimilation is analyzed and discussed, accurately, in studies that were published from May 1st, 2014 to May 1st, 2018. The results of the review demonstrate the increased application of ANN into wind power generation forecasting. Considering the component limitation of other systems, the trend of deploying the ANN and its hybrid systems are more attractive than other individual methods. The review further revealed that high forecasting accuracy could be achieved through proper handling and calibration of the wind-forecasting instrument and method.

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Section: Wind Extraction Methodsmentioning

confidence: 99%

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

et al. 2020

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“…Equation 3 enables the conversion of wind speed at any given height to the desired height (Delgado et al, 2016).…”

Section: Model Implementationmentioning

confidence: 99%

Evaluation of Drain Quality and Nutrient Loads Management Scenarios by Using QUAL2kw Model

Abyaz,

Samani,

Navabian

2024

Preprint

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The examination of wastewater and effluents flowing into receiving water bodies is crucial for identifying pollutant sources and implementing scenarios to reduce them. In this study, QUAL2kw was used to identify, assess, and predict the pollutant load of a drainage canal located 6 kilometers away from Anzali Wetland. Initially, the model was calibrated and validated with data collected in 2017. The NRMSE of the values was mostly less than 20%, except for flow accounting for 37% during calibration. The model did well in simulating EC and ammonium levels, but there is room for improvement in predicting nitrate and inorganic P concentrations. Field visits and sampling were done during the rice growth period in April-June 2021. The model was simulated for a three-time series in 2021, simulation showed that the month of May was the most critical, as the levels of nitrates, ammonium, and phosphates were at their highest. Then scenarios were considered to reduce nutrient loads. Reducing the amount of fertilizer led to a 9–27% while applying water stress resulted in a 0.1-1% reduction in the discharge outflow from the drain and less than 1% reduction in the amount of ammonium and nitrate. It is concluded that reduction in fertilization is more efficient in reducing concentrations and pollutant loads at the exit point of the canal to water resources compared to applying water stress since urea fertilizer contains a high percentage of nitrogen and declining water application can enhance the soil’s nutrient retention ability but only to a small degree.

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“…To correlate the wind profile against building height in the wind tunnel and CFD simulation, Figure 2 shows the wind profile of the wind tunnel without the building model at the streamwise positions. From the wind profile, the calculation of the wind shear coefficient can be determined from the power law as below [41] 𝛼 = ln(𝑣 2 )−ln(𝑣 1 ) ln(𝑧 2 )−ln(𝑧 1 ) (15) where 𝑣 1 represents the wind speed at the reference position 𝑧 1 and 𝑣 2 represents the wind speed at the elevated position 𝑧 2 .…”

Section: Model Validationmentioning

confidence: 99%

Numerical Simulation of the Tree Effects on Wind Comfort and Wind Safety Around Coastline Building Resort

Husna Aini Swarno,

Nurul Huda Ahmad,

Ahmad Faiz Mohammad

et al. 2024

ARFMTS

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Beach resorts located in coastal areas are particularly vulnerable to natural disasters and extreme weather events. Climate change exacerbates these risks, with rising sea levels, intense rainfall, and cyclones impacting coastal communities, including hotel operators. This study aims to address the challenge of tropical storms resulting from climate change in Langkawi's coastline region, specifically focusing on mitigating their impact on pedestrian wind comfort. The research investigates the quantitative impact of vegetative windbreaks on wind velocity at an open-building resort in Cenang, Langkawi, Malaysia. The goal is to propose effective strategies for reducing wind velocity and enhancing pedestrian wind comfort for beachfront resorts. The primary objective is to determine the optimal arrangement of vegetative windbreaks that provide optimal wind comfort for buildings. Numerical simulations were conducted to analyze flow characteristics around tree windbreaks, with validation through wind tunnel experiments. The simulation method, employing the RNG k-ε turbulence closure scheme, accurately predicted airflow patterns for both single and double rows of trees, treating the trees as porous media with defined aerodynamic properties. Results indicate that staggered double rows of windbreaks offer the most significant improvement in wind shelter, with a maximum mean Boundary Effectiveness Index (mBEI) of approximately 1.92. This configuration ensures greater downwind shelter distances compared to linear double rows and single-row windbreaks, thus enhancing wind comfort. Enhanced wind comfort is crucial for promoting safety and enjoyment during outdoor activities at resort facilities. Strategically planting windbreak trees enables resort management to create a more pleasant environment for guests, shielding them from strong winds while preserving aesthetic appeal. This study offers practical guidelines for resort developers, emphasizing optimal row arrangements and windbreak designs that balance environmental aesthetics with pedestrian wind comfort. Implementing these practices enhances the overall experience for resort guests, contributing to a safer and more enjoyable leisure environment.

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Evaluation of the variability of wind speed at different heights and its impact on the receiver efficiency of central receiver systems

Cited by 18 publications

References 6 publications

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

Evaluation of Drain Quality and Nutrient Loads Management Scenarios by Using QUAL2kw Model

Numerical Simulation of the Tree Effects on Wind Comfort and Wind Safety Around Coastline Building Resort

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