The paper adresses the climate changes and the risks they bring to the generation and financial results of wind power plants, i.e. the sensitivity of the wind power plants to wheather phenomena that go beyond the scope of established patterns, and the ability to adapt to them. Climate changes create uncertainty about the availability of wind, a resource that drives wind farm production, but also increases the risk of extreme events that can cause damage to wind turbines, raising capital and operating costs. Even the most complex computer systems cannot anticipate all the consequences of climate change over the time span of the wind power plant's lifetime, especially when it comes to the local level, which is the most relevant for any investor. The aim of the paper is to determine the actual climate risk for the operation of the wind power plant and, if it exists, to analyze and propose measures to investors that they can take to protect themselves from them. In order to prove the hypothesis and quantify the sensitivity of wind power plants to climate change, the author created a model for simulating the operation of a wind power plant through three scenarios, finding and presenting economic and financial indicators for each scenario, with different average wind speeds and the Weibull wind speed distribution factor. During the process, real input data obtained on the basis of empirical analysis of the energy sector were employed, and the operation of the Vestas V90/2000 wind turbine was analyzed. By comparing the obtained results, the hypothesis was confirmed, that is, the magnitude of the influence and the importance of the considered weather parameters were demonstrated. While lowering the average wind speed results in a considerable drop in output and project profitability indicators, increasing the average wind speed results in an increase in the indicators, but to a lesser extent. Furthermore, at higher initial wind speeds, even in the case of an increase in average speed, due to less favorable wind distribution, the model showed a drop in overall production. Therefore, it is extremely important for investors not only to study the change in the average wind speed, but also the change in its distribution. Locations with higher average wind speeds are more appealing to investors, but the simulation revealed that they are also more vulnerable to meteorological phenomena caused by climate change. At the end, an analysis of the roles of the main stakeholders in adapting to climate risks was presented, and an overview of the most important climate risk protection instruments, suitable for different phases of the project's life cycle, was given.