Environmental conditions to which the Floating Offshore Wind Turbine is expected to be exposed during its design life are to be determined using adequate data for the areas in which the Floating Offshore Wind Turbine is to be transported and installed. Environmental phenomena that influence the pre-service and in-service phases of the Floating Offshore Wind Turbine are to be described in terms of relevant characteristic parameters. Statistical data and realistic statistical and mathematical models which describe the range of expected variations of environmental conditions are to be employed. All data used are to be fully documented with the sources and estimated reliability of data noted. Methods employed in developing available data into design criteria are to be described and submitted in accordance with 8/4.1. Probabilistic methods for short-term, long-term, and extreme-value prediction are to employ statistical distributions appropriate to environmental phenomena under consideration, as evidenced by relevant statistical tests, confidence limits and other measures of statistical significance.

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Environmental Conditions

  • Fatima Aderouane

摘要

Environmental conditions to which the Floating Offshore Wind Turbine is expected to be exposed during its design life are to be determined using adequate data for the areas in which the Floating Offshore Wind Turbine is to be transported and installed. Environmental phenomena that influence the pre-service and in-service phases of the Floating Offshore Wind Turbine are to be described in terms of relevant characteristic parameters. Statistical data and realistic statistical and mathematical models which describe the range of expected variations of environmental conditions are to be employed. All data used are to be fully documented with the sources and estimated reliability of data noted. Methods employed in developing available data into design criteria are to be described and submitted in accordance with 8/4.1. Probabilistic methods for short-term, long-term, and extreme-value prediction are to employ statistical distributions appropriate to environmental phenomena under consideration, as evidenced by relevant statistical tests, confidence limits and other measures of statistical significance.