{"title":"Modelling and Evaluation of Noise Dispersion from Wind Turbine Operations","authors":"Vytaute Juodkiene","doi":"10.2478/cee-2023-0062","DOIUrl":null,"url":null,"abstract":"Abstract All over the world, the need for energy is increasing, and the methods of obtaining it are harmful to the environment. Traditional energy resources are rapidly depleting. During the extraction and burning of fossil fuels, many different pollutants enter the environment. One of the renewable forms of energy is wind energy. Wind energy is mainly used to generate electricity in wind farms. Wind turbines are a unique source of noise because they are installed at a high height above the ground, and the noise emitted is fluctuating and manifests itself in a wide frequency range. Noise from wind turbines as low as 32 dB(A) is a strong nervous system irritant for some people, while noise of 40 dB(A) and above causes severe discomfort for many people [1]. Detailed noise modeling was carried out in the considered area, assessing how noise affects individual dwellings, noise in the living environment of residential buildings were modeled. The noise level without background noise sources of the nearest residential environment was determined by modeling at 31.9 dB(A) during the night, while the limit value for the protection of human health according to HN 33:2011 is 45 dB(A).","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/cee-2023-0062","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract All over the world, the need for energy is increasing, and the methods of obtaining it are harmful to the environment. Traditional energy resources are rapidly depleting. During the extraction and burning of fossil fuels, many different pollutants enter the environment. One of the renewable forms of energy is wind energy. Wind energy is mainly used to generate electricity in wind farms. Wind turbines are a unique source of noise because they are installed at a high height above the ground, and the noise emitted is fluctuating and manifests itself in a wide frequency range. Noise from wind turbines as low as 32 dB(A) is a strong nervous system irritant for some people, while noise of 40 dB(A) and above causes severe discomfort for many people [1]. Detailed noise modeling was carried out in the considered area, assessing how noise affects individual dwellings, noise in the living environment of residential buildings were modeled. The noise level without background noise sources of the nearest residential environment was determined by modeling at 31.9 dB(A) during the night, while the limit value for the protection of human health according to HN 33:2011 is 45 dB(A).
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.