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Industrial and Systems

As a visiting faculty member at the Argonne National Laboratory in Chicago, Auburn’s Jorge Valenzuela is working with scientists at the research Center for Energy, Environmental and Economic Systems Analysis (CEEESA) on modeling the economics of wind energy generation. To provide effective price signals for the development of wind energy, Valenzuela is developing a probabilistic model to evaluate the effects of high penetration of wind energy on electricity prices and estimate wind-farm revenues from wind power generation. Wind energy is considered one of the cleanest renewable energy sources that can compete economically with conventional fuel sources for electric power generation. Wind energy produces no greenhouse gases, has no effect on climate change and produces little environmental impact. Understanding economic impacts of wind energy on electricity markets is important due to the increasing penetration of wind power in the generation mix of power systems. Government tax incentives and wind turbines have made wind energy technology economically attractive to electric power utilities. However, due to the intermittency of the wind, planning and operating a wind farm is challenging. The uncertain behavior of wind obligates systems operators to keep conventional generating units running to meet the actual demand for electricity.

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