Offshore Metocean Station for Energy Purposes
نویسندگان
چکیده
Renewable energy concepts are able to sustainably satisfy the world energy demand without any restrictions for the following generations. In these concepts the wind energy and wave/ocean current energy are important factors as the description and the prognosis of waves and currents is a complex issue, especially offshore. For the estimation of the average annual wind speed and thus the energy production of offshore windfarms, it is imperative to know the exact wind conditions at each project site. Suitable prognosis methods are either missing so far, or not accurate enough, or at beta stage. The only possibility to achieve exact information about the offshore conditions is a metocean station consisting of wind and wave sensors. These met stations can be lattice masts mounted on monopiles or buoys equipped with meteorological sensors, both in combination with wave sensors to include all important parameters. Though conventional metocean stations are far more common, established and are measuring data of high quality, cheaper and more flexible solutions such as the likes of floating light detection and ranging are about to be used during the operation of wind farms. This article explains currently used methods of offshore measurements with respect to wind and wave and compares it with reanalysis data. This data has advantages in comparison to measurements from conventional metocean stations, but cannot be used independently. This article proves that using solely reanalysis data is not possible, that measurements offshore are still necessary and that its operation helps in improving the performance of offshore wind farms.
منابع مشابه
Bolivar: Similation Engine for Multivariate Extreme Analysis of Metocean Events
BOLIVAR problem solving environment (PSE) is the multi-functional computational software for the researches and engineers who explore the extreme environmental conditions to design and build offshore structures and floating objects. It contains a set of computational modules of various methods for extreme analysis, and a set of modules for the stochastic and hydrodynamic simulation of metocean ...
متن کاملThe properties of extreme waves
In the safety assessment of both fixed and floating offshore structures it is necessary to ensure that the structure has sufficient strength to withstand the most extreme combination of environmental loads likely to be experienced during the design life. However significant uncertainties remain concerning the characteristics of real, extreme, three-dimensional waves. The research described in t...
متن کاملHydrodynamic Module Coupling in the Offshore Wind Energy Simulation (OWENS) Toolkit
When considering the future of offshore wind energy, developing cost effective methods of harnessing the offshore wind resource represents a significant challenge which must be overcome to make offshore wind a viable option. As the majority of the capital investment in offshore wind is in the form of infrastructure and operation and maintenance costs, reducing these expenditures could greatly r...
متن کاملExperimental Evaluation of IRWEC1, a Novel Offshore Wave Energy Converter
This paper describes the innovative offshore point-absorber wave energy converter (WEC), IRWEC1, under development by the Hydrodynamics, Acoustics and Marine propulsion Group at Babol Noshirvani University of Technology. Totally enclosed in an outer shell, with no external moving parts, IRWEC1 is completely sealed which make it a robust and trustable system. Important motion for this WEC is the...
متن کاملOperating Strategies and Design Recommendations for Mitigating Local Damage Effects in Offshore Turbine Blades
Two major barriers to widespread US acceptance of offshore wind energy is reliability of rotor blades and the difficulty to access for inspection and maintenance. This work presents operation and design strategies aimed to increase blade reliability and maximize power production. Operating strategies that prolong blade life while optimizing energy output allow for smarter maintenance planning a...
متن کامل