0000000000160915

AUTHOR

Trond Friisø

Offshore wind metadata management

Offshore wind energy is gaining more and more attention from industry and research community due to its high potential in producing green energy and lowering price on electricity consumption. However, offshore wind is facing many challenges, and hence it is still expensive to install in large scale. It therefore needs to be considered from different aspects of technologies in order to overcome these challenges. One of the problems of the offshore wind is that information comes from different sources with diversity in types and format. Besides, there are existing wind databases that should be utilised in order to enrich the knowledge base of the wind domain. This paper describes an approach …

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A framework for data integration of offshore wind farms

Abstract Operation and maintenance play an important role in maximizing the yield and minimizing the downtime of wind turbines, especially offshore wind farms where access can be difficult due to harsh weather conditions for long periods. It contributes up to 25–30% to the cost of energy generation. Improved operation and maintenance (O&M) practices are likely to reduce the cost of wind energy and increase safety. In order to optimize the O&M, the importance of data exchange and knowledge sharing within the offshore wind industry must be realized. With more data available, it is possible to make better decisions, and thereby improve the recovery rates and reduce the operational costs. This …

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Smart grid for offshore wind farms: Towards an information model based on the IEC 61400-25 standard

Nowadays, wind energy is one of the most recognized renewable energy sources. Onshore wind farms have been built in many countries, such as Denmark, Norway, UK, Italy, Brazil and the US. To utilize the more stable wind resources, wind farms have moved off the shore, first to shallow waters near shore and now extending to deeper waters and far off the shore. Deep-water offshore solutions will give access to large areas with high wind, and less sensitivity to noise, visual impacts and size. However, the cost of developing and operating an offshore wind farm is many times larger than onshore due to large water depths and harsh offshore environments. Hence, the needs for fast and automatic data…

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