Bayesian approach with subjective opinion fusions for wind turbine maintenance

An optimal Bayesian update strategy that implements the subjective opinions of several experts are introduced for preventive maintenance of wind turbines while single expert opinion has been introduced by the author in the previous studies. This work is introducing the opinion of the wind farm manager or technician via subjective opinions based on a Bayesian adaptive update strategies for optimal preventive maintenance. Subjective opinion will be implemented to Bayesian cycles while experts can impact the distribution parameters with no knowledge of statistics but just by presenting their opinion as belief, disbelief or uncertainty. Statistical parameters such as minimal time of maintenance and cost of new strategy will be impacted by the interaction of wind farm manager and technician that interact with quantitative data with their opinions. The approach employs and complements the quantitative data from turbine Supervisory control and data acquisition (SCADA)

Wind Flow Resource Analysis Of Urban Structures : A Validation Study

In order to have better insight into the physics of the urban wind turbines, a Computational Fluid Dynamics (CFD) flow solver has been developed for industrial applications by Uppsala University and SOLUTE Ingenieros. Urban wind resource assessment for small scale wind applications present several challenges and complexities for that are different from large-scale wind power generation. Urban boundary layer relevant in this regime of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. Preliminary measurement results will be presented for a particular site in Huesca Spain where a measurement campaign is undertaken to validate the CFD results.WINDU

A New Pre-processing for Assessing Connection Areas for Busbars of Wind Power Plants Using Meteorological, Financial and Electrical Grid Data

The objective of this study is to provide practical pre-processing approaches for entities that are active in wind farm development that needs to define connection areas of busbars for wind power plants. With the increase in the installed capacity of the renewable energy resources, the determination of the power grid connection points has gained importance. Failure to correctly identify the feasible grid connection points extends the timeline of return of investment of the power plants. Wind power plants, which cannot produce efficiently, can also cause problems (voltage drop, frequency deterioration, flicker, increased costs, etc.) on the electrical energy system. Within the scope of this study, a new methodology has been developed to determine the number of regional wind power plants that can be connected to a grid connection point depending on economic and technical criteria as well as the installed capacity of these power plants. In the developed methodology; the geographical structure of the region, technical characteristics of turbine technologies used in wind power plants, electrical grid criteria and economic connection criteria of wind power plants are taken into consideration. WindPRO, a wind power analysis program, was used in the definition of regional variables. The dataset obtained from the WindPRO program was used in the analysis of installation of wind turbines with different tower heights and different installed powers (50 MW, 100 MW, etc.). Investment costs of turbine technologies and energy transmission system integration costs were taken into consideration in determining bus-based installation costs. As a result, the possible costs of the wind power plants that can be established for bus connection points in a zone defined on the energy transmission system were determined. Thus, the preliminary working time of the energy planners will be shortened and the most economic regions related to the wind power plant technology will be chosen

Wind Flow Resource Analysis Of Urban Structures : A Validation Study

In order to have better insight into the physics of the urban wind turbines, a Computational Fluid Dynamics (CFD) flow solver has been developed for industrial applications by Uppsala University and SOLUTE Ingenieros. Urban wind resource assessment for small scale wind applications present several challenges and complexities for that are different from large-scale wind power generation. Urban boundary layer relevant in this regime of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. Preliminary measurement results will be presented for a particular site in Huesca Spain where a measurement campaign is undertaken to validate the CFD results.WINDU

Wind Flow Resource Analysis Of Urban Structures : A Validation Study

In order to have better insight into the physics of the urban wind turbines, a Computational Fluid Dynamics (CFD) flow solver has been developed for industrial applications by Uppsala University and SOLUTE Ingenieros. Urban wind resource assessment for small scale wind applications present several challenges and complexities for that are different from large-scale wind power generation. Urban boundary layer relevant in this regime of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. Preliminary measurement results will be presented for a particular site in Huesca Spain where a measurement campaign is undertaken to validate the CFD results.WINDU

Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-Economics

The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-eco-nomics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning