Wind power is the fastest growing renewable energy source in the United States. Existing empirical studies on the economic impact of wind power development have primarily relied on case studies and input-output models, which have limitations. This study instead uses a linear fixed effects model to estimate the county level effects of wind power in the Great Plains region of the United States fr...

In the present research, the Wind Turbine placement problem for renewable energy utilization is solved using a viral systems optimization algorithm which finds the optimum configuration of wind turbines within a wind farm considering uniform wind-speed, and unidirectional wind. The problem is solved using a single type of turbine and constraining the available space to a flat scenario with a sq...

15 16 Site-and time-specific wind field characteristics have a significant impact on the 17 structural response and the lifespan of wind turbines. This paper presents a machine 18 learning approach towards analyzing and predicting the response of a wind turbine 19 structure to diurnal and nocturnal wind fields. Machine learning algorithms are applied (i) 20 to better understand the changes of w...

Beyond any doubt, we can consider century 21st as the one devoted to renewable energy. According to the International Energy Agency (IEA) (IEA, 2009) renewable sources shall provide about 35% of the European Union’s (EU) electricity by 2020, and within this context, wind energy is set to contribute the most nearly 35% of all the power coming from renewable sources. This evolution is based on su...

Over the last two decades, fostered by strong financial incentives, wind power in Germany has seen a rapid market diffusion. The promotion policy in the form of guaranteed feed-in tariffs for renewable energies such as wind power often rewarded investors in these technologies with extraordinary economic returns. However, today’s investment decisions in large-scale onshore wind power projects in...

Australia's wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account for over 12% of Australia's electricity generation in 2030. Due to this growth in the utilization of the wind resource and the increasing importance of wind power in Aust...

As the installed capacity of wind power increases across the world, its impact on power systems is becoming more important. To ensure the reliable operation of a power system which is significantly fed by wind power, the dynamics of the system must be understood. The purpose of this study is to analyse the dynamic impact of large-scale wind farms on the stability of a power grid, and to investi...

Although the expansion of offshore wind has recently increased in Germany, as in other countries, it is still forced to defend its role in long-term energy policy plans, particularly against its onshore counterpart, to secure future expansion targets and financial support. The objective of this article is to investigate the economic effects of offshore wind on the electricity spot market and th...

Site-specific wind field characteristics have a significant impact on the structural response and the lifespan of wind turbines. This paper presents a machine learning approach towards analyzing and predicting the response of wind turbine structures to varying wind field characteristics. Machine learning algorithms are applied (i) to better understand changes of wind field characteristics due t...