Bahri Uzunoglu

universitetslektor , Docent vid Institutionen för teknikvetenskaper, Elektricitetslära

E-post:
Bahri.Uzunoglu[AT-tecken]angstrom.uu.se
Telefon:
018-471 5831
Mobiltelefon:
073-4606585
Besöksadress:
Ångströmlaboratoriet, Lägerhyddsvägen 1
Postadress:
Box 534
751 21 UPPSALA

Kort presentation

Detta stycke finns inte på svenska, därför visas den engelska versionen.

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.

I lead the COMPUTATIONAL ENERGY SOLUTIONS team.

Akademiska meriter: Docent i teknisk fysik med inriktning mot elektricitetslära

Mina kurser

Biografi

Detta stycke finns inte på svenska, därför visas den engelska versionen.

  • Uppsala University, Sweden -- Division of Electricity, Associate professor (docent) in engineering sciences with specialization in science of electricity in direction of computational methods (Current English)
  • Uppsala University, Sweden -- Division of Electricity, Associate professor (docent) in engineering physics with specialization in science of electricity (Current Swedish)
  • Uppsala University, Sweden -- Division of Electricity, Senior Lecturer (Current)
  • Department of Mathematics, Florida State University (2015-Current). Research Faculty.
  • Division of Earth Sciences, Senior Lecturer of Energy Technology (2012 -- 2013); Program responsible for MSc in Wind Power Project Management (July 2010 -- July 2012).
  • FPL, USA -- Full-time, NextEra™ Energy Resources (formerly FPL Energy),
  • Part-time, Florida State University (FSU), School of Computational Science (2007 September -- 2008 January 6th).
  • Florida State University -- School of Computational Science, (2004 -- 2007).
  • German Aerospace Centre (DLR), Germany -- Junior Scientist (2001 -- 2004).
  • University of Liverpool, UK Department of Electrical Engineering and Electronics (2001).
  • University of Southampton, Southampton PhD, Computational Engineering

Forskning

COMPUTATIONAL 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.

COMPUTATIONAL ENERGY SOLUTIONS TEAM

İsmail ALKIŞ (PhD Student)

Serdal ÖZÇELİK (PhD Student)

OPEN ACCESS DATA

RESEARCH PROJECT WINDUR

This blog provides information about wind measurement database created for EU WINDUR project.

The small scale wind turbines mainly corresponds to turbines installed in rural and isolated areas. As 80 % of European population lives in cities and the EU Directive 2010/31/EU on Energy Performance of Buildings requires that “Member States shall ensure that by 31 December 2020 all new buildings are nearly zero-energy buildings”. This is a commercial opportunity that also provides a motivation to investigate technical challenges related to the peculiarities of urban wind regime. Urban wind resource assessment for small scale wind applications presents several challenges and complexities that are different from large-scale wind power generation. Urban boundary layers relevant to this kind of flows have different horizontal profiles impacted by the buildings, low speed wind regimes, separation and different turbulence characteristics. In order to have better insight into the physics of the urban wind turbines, European Framework project with acronym WINDUR has been undertaken. The results of this measurement campaign for this project is presented below.

Download the report.

Wind measurement database

Publikationer

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