Energy and Acoustic Environmental Effective Approach for a Wind Farm Location

Wolniewicz, Katarzyna; Zagubień, A.; Wesołowski, Mirosław

doi:10.3390/en14217290

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…Also, an important factor is an acoustic environment with an acoustic noise level of 50 dB at nighttime and 55 dB during the day [26]. To reach this goal, the acousticians and the power engineers are looking for the best wind turbine model with a low acoustic emission [27]. Based on the simulations conducted by Ruggiero et al [28], the noise levels near the turbines are around 55 dBA with average wind speed conditions, while the noise levels in the surrounding area are lower.…”

Section: Introductionmentioning

confidence: 99%

The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

Amsharuk,

Łaska

2023

Energies

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This article presents an approach to locating wind farms based on open-source data, GIS software (QGiS v.3.32 Lima), and multicriteria decision-making methods such as AHP, TOPSIS and Borda. The article aims to check the availability of the most suitable sites for wind farms in Podlaskie Voivodeship, Poland. After the site-selection process, 704 plots were selected after three stages of exclusion (technical–natural, social, and economic). These plots cover a total area of 32.50 km2, about 0.16% of the region’s area. The results show that Podlaskie Voivodeship has the most considerable clustering of suitable sites for wind farm construction in three districts, with a total area of 21.53 km2. The first district is in the southwestern part of the region, with an area of 14.84 km2; the second district is in the southeastern part of the region, with an area of 5.59 km2; and the third district is in the northern part of the region, with an area of 1.1 km2. A selected area of 32.50 km2 for wind farms and single turbines could increase the power capacity by 62% with 131.5 MW. The GIS and multicriteria decision analysis (MCDA) methodology is repeatable and can be used for further research in other voivodeships in Poland and other countries. International and Polish investors and renewable energy sources (RESs) developers can use the research results to select new locations for investments that fit their strategy in the local market.

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Section: Introductionmentioning

confidence: 99%

The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

Amsharuk,

Łaska

2023

Energies

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Analysis of the Wind Turbine Selection for the Given Wind Conditions

2021

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The aim of the current paper is to present an approach to a wind turbine selection based on an annual wind measurements. The proposed approach led to a choice of an optimal device for the given wind conditions. The research was conducted for two potential wind farm locations, situated on the north of Poland. The wind measurements pointed out a suitability of the considered localizations for a wind farm development. Six types of wind turbines were investigated in each localization. The power of the wind turbines were in the range of 2.0 to 2.5 MW and with a medium size of the rotor being in the range of 82 to 100 m. The purpose of the research was to indicate a wind turbine with the lowest sensitivity to the variation of wind speed and simultaneously being most effective energetically. The Weibull density distribution was used in the analyses for three values of a shape coefficients k. The energy efficiency of the considered turbines were also assessed. In terms of the hourly distribution of the particular wind speeds, the most effective wind turbines were those with a nominal power of 2 MW, whereas the least effective were those with the nominal power of 2.3–2.5 MW. The novelty of the proposed approach is to analyze the productivity for many types of wind turbines in order to select the one which is the most effective energy producer. The analyses conducted in the paper allowed to indicate a wind turbine which generates the highest amount of energy independently on the wind speed variation.

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Energy Efficiency of Small Wind Turbines in an Urbanized Area—Case Studies

Zagubień

Wolniewicz

2022

Energies

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This study aimed to determine whether the wind zone that characterizes a given area of the country in open area is reflected in the built-up area lying within the zone. Analysis included four Polish cities located in different wind zones. The two-parameter Weibull density distribution function was used to present the wind conditions at each location. Two 3 kW VAWT devices were selected to evaluate the productivity of wind turbines at the locations analyzed. It was shown that the wind zones characterizing the wind potential of a region in an open area have no significant influence on the wind conditions in the built-up area located in that area. It was determined that the study location’s did not exhibit wind potential that could be economically justified by a wind turbine. WTs in the city do not reach their nominal productivity. A decisive advantage of very light winds was observed (up to 2 m/s) and a large proportion of so-called atmospheric calms. It was shown that the installation of small wind turbines in an urbanized area requires a minimum of annual wind measurements at the exact location and height of each future turbine planned.

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Energy and Acoustic Environmental Effective Approach for a Wind Farm Location

Cited by 4 publications

References 20 publications

The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

Analysis of the Wind Turbine Selection for the Given Wind Conditions

Energy Efficiency of Small Wind Turbines in an Urbanized Area—Case Studies

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