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INITIAL FINDINGS OF THE UK COTTON FARM WIND FARM LONG TERM COMMUNITY NOISE MONITORING PROJECT. PROCEEDINGS OF INTER-NOISE 2014

机译:英国棉花农场风电场长期社区噪声监测项目的初步发现。 2014年噪声研讨会

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This paper provides early results of a long term study of community impact from wind farm noise and uses of the data obtained. A continuously recorded database of noise collected under different meteorological conditions has allowed detailed analysis of particular characteristics such as amplitude modulation and also the reliability of assessment methodologies for predicting and quantifying impact. Surprising outcomes are explored including upwind impact. In 2013 MAS Environmental established a permanent monitoring station to record and publish data online located 600m from the nearest turbine to correlate the impact upon the community and provide an extensive database. This paper maps the evolution of the project. Online data enables a wider study of the effect of meteorological change on noise immission in a flat eastern area of the UK. Anyone can independently observe and listen to the audible elements of the noise that people complain about. This tool aids understanding as well as predicting times of likely adverse impact. The database has enabled testing of proposed controls, particularly in relation to audible amplitude modulation and demonstrated the recent Renewables UK proposed control mechanism fails. Data obtained challenges blade stall research claims as the primary cause of far field AM and wind farm noise prediction methodologies.
机译:本文提供了对风电场噪声对社区的影响以及所获得数据的使用的长期研究的早期结果。连续记录的在不同气象条件下收集到的噪声数据库已经允许对特定特性(例如幅度调制)以及评估方法的可靠性进行详细分析,以预测和量化影响。探索了出乎意料的结果,包括迎风影响。 2013年,MAS环境公司建立了一个永久性监测站,以在线记录和发布距离最近的涡轮机600m处的数据,以关联对社区的影响并提供广泛的数据库。本文描绘了该项目的演变过程。在线数据可以对英国东部平坦地区的气象变化对噪声排放的影响进行更广泛的研究。任何人都可以独立观察和聆听人们抱怨的噪音的可听元素。该工具有助于理解并预测可能的不利影响的时间。该数据库已启用对拟议控制的测试,尤其是在可听振幅调制方面的测试,并证明了英国可再生能源最近提出的控制机制失败。获得的数据挑战了叶片失速研究声称的远场AM和风电场噪声预测方法的主要原因。

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