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Title: Final Report DE-EE0005380: Assessment of Offshore Wind Farm Effects on Sea Surface, Subsurface and Airborne Electronic Systems

Technical Report ·
DOI:https://doi.org/10.2172/1096175· OSTI ID:1096175
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  1. The University of Texas at Austin
  2. The University of Texas at Austin Applied Research Laboratories
  3. Science Applications International Corporation

Offshore wind energy is a valuable resource that can provide a significant boost to the US renewable energy portfolio. A current constraint to the development of offshore wind farms is the potential for interference to be caused by large wind farms on existing electronic and acoustical equipment such as radar and sonar systems for surveillance, navigation and communications. The US Department of Energy funded this study as an objective assessment of possible interference to various types of equipment operating in the marine environment where offshore wind farms could be installed. The objective of this project was to conduct a baseline evaluation of electromagnetic and acoustical challenges to sea surface, subsurface and airborne electronic systems presented by offshore wind farms. To accomplish this goal, the following tasks were carried out: (1) survey electronic systems that can potentially be impacted by large offshore wind farms, and identify impact assessment studies and research and development activities both within and outside the US, (2) engage key stakeholders to identify their possible concerns and operating requirements, (3) conduct first-principle modeling on the interactions of electromagnetic signals with, and the radiation of underwater acoustic signals from, offshore wind farms to evaluate the effect of such interactions on electronic systems, and (4) provide impact assessments, recommend mitigation methods, prioritize future research directions, and disseminate project findings. This report provides a detailed description of the methodologies used to carry out the study, key findings of the study, and a list of recommendations derived based the findings.

Research Organization:
University of Texas, Austin, TX; Science Applications International Corporation, Billerica, MA
Sponsoring Organization:
USDOE; USDOE EE Office of Wind and Hydropower Technologies (EE-2B)
DOE Contract Number:
EE0005380
OSTI ID:
1096175
Report Number(s):
DOE-UTEXAS-EE0005380; 26083692
Country of Publication:
United States
Language:
English