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I am always looking for new collaborators. I invite you to contact me to discuss the opportunities for collaborative research.


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Bahri Uzunoglu
Associate Professor of Energy Technology
Uppsala University, Division of Electricity
Angstrom Laboratory
Lägerhyddsvägen 1, 524 Uppsala
Cell: (734)-606585
Phone: (498)-299195


My research provides solutions by the development, implementation, testing, and application of algorithms and software used to solve large-scale scientific and engineering problems of renewable energy industry. The aim is to provide for innovative products in renewable energy. I am primarily interested in developing knowledge and tools for renewable energy industry and applying those tools for the solution of problems in a variety of applications.


Computational Renewable Energy Solutions

My research is focused for all three weather-driven resources wind, solar, and marine. Using environmental prediction systems that incorporate computing technologies and proprietary methodologies, the aim is to deliver products for relevant, accurate, and critical information necessary for effectively siting, developing, and operating renewable energy projects.

Research Context

The way we power and fuel our economies is a critical and immediate challenge that faces the world today. The scale of the challenge requires an unprecedented response. Driven by worldwide population increases and rising standards of living, global energy demand is projected to grow dramatically in the coming decades. Achieving energy security and sustainability in an enviromentally responsible manner requires the development of cost-effective renewable energy sources.


Realizing the full business potential of alternative and renewable energy will require advances in the underlying technologies as well as adaptations in the existing energy infrastructure. High-performance computing capabilities and state-of-the-art numerical simulation models will play a key role in accelerating the business progress necessary to fulfill this potential and is critical to advancing our understanding of the fundamentals of renewable energy business, from the smallest spatial and temporal scales to the integration and design of full systems. Advances in high-performance computing, numerical methods, algorithms, and software design now enable scientists and engineers to solve renewable energy business problems that were once thought intractable. Renewable energy resources and clean energy alternatives are playing a larger role in diversifying the world's energy future. The aim is to identify computational needs and opportunities in alternative and renewable energy.


“Computational Science and Engineering Solutions for Renewable Energy Problems.”
-Bahri Uzunoglu