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DOI10.1016/j.jenvman.2024.120437
A standardized protocol for assessing the performance of automatic detection systems used in onshore wind power plants to reduce avian mortality
Ballester, Cyrielle; Dupont, Sophie M.; Corbeau, Alexandre; Chambert, Thierry; Duriez, Olivier; Besnard, Aurelien
发表日期2024
ISSN0301-4797
EISSN1095-8630
起始页码354
卷号354
英文摘要While wind power plants are an important contribution to the production of renewable energy to limit climate change, collision mortality from turbines is a danger for birds, including many protected species. To try to mitigate collision risks, automatic detection systems (ADSs) can be deployed on wind power plants; these work by detecting incoming birds using a detection/classification process and triggering a specific reaction (scaring off the bird or shutting down the turbine). Nonetheless, bird fatalities still occur at ADS-equipped wind power plants, which raises the question of the performance of these tools. To date, the lack of a transparent, peerreviewed experimental process to compare the performance of types of ADS has meant there is no robust protocol to assess these systems. With the aim of filling this gap, we developed two standardized protocols that provide objective and unbiased assessments of the performance of different types of ADS, based on their probability of detecting/classifying birds at risk of collision. Both protocols rely on precise 3D tracking of wild birds by human observers using a laser rangefinder, and the comparison of these tracks with those detected and recorded by an ADS. The first protocol evaluates a system's general performance, generating comparable data for all types of ADS. In this protocol, detection/classification probability is estimated conditional on several abiotic and biotic environmental factors such as bird size, distance from the target, the flight angle and azimuth of the bird, as well as weather conditions. The second protocol aims to verify that the performance of an ADS installed on a given wind power plant complies with its regulatory requirements. In this protocol, detection/classification probability is specifically estimated for a given target species at a given regulatory detection distance. This protocol also estimates the proportion of time an ADS is functional on site over a year, and the proportion of reaction orders successfully operated by wind turbines. These protocols have been field-tested and made publicly available for use by government agencies and wind power plant operators.
英文关键词Wind energy; Bird collisions; Mitigation measures; Bird trajectories; Turbine shutdown; Human observer
语种英语
WOS研究方向Environmental Sciences & Ecology
WOS类目Environmental Sciences
WOS记录号WOS:001197191800001
来源期刊JOURNAL OF ENVIRONMENTAL MANAGEMENT
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/305630
作者单位Universite PSL; Ecole Pratique des Hautes Etudes (EPHE); Institut Agro; Montpellier SupAgro; CIRAD; Centre National de la Recherche Scientifique (CNRS); Institut de Recherche pour le Developpement (IRD); Universite Paul-Valery; Universite de Montpellier; Centre National de la Recherche Scientifique (CNRS); Centre National de la Recherche Scientifique (CNRS); Museum National d'Histoire Naturelle (MNHN); Institut de Recherche pour le Developpement (IRD); Universite de Caen Normandie; Sorbonne Universite; Inria; Universite de Rennes
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GB/T 7714
Ballester, Cyrielle,Dupont, Sophie M.,Corbeau, Alexandre,et al. A standardized protocol for assessing the performance of automatic detection systems used in onshore wind power plants to reduce avian mortality[J],2024,354.
APA Ballester, Cyrielle,Dupont, Sophie M.,Corbeau, Alexandre,Chambert, Thierry,Duriez, Olivier,&Besnard, Aurelien.(2024).A standardized protocol for assessing the performance of automatic detection systems used in onshore wind power plants to reduce avian mortality.JOURNAL OF ENVIRONMENTAL MANAGEMENT,354.
MLA Ballester, Cyrielle,et al."A standardized protocol for assessing the performance of automatic detection systems used in onshore wind power plants to reduce avian mortality".JOURNAL OF ENVIRONMENTAL MANAGEMENT 354(2024).
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