INFORMATION SYSTEMS AND LOGISTICS IN CIVIL ENGINEERING

Overview of software products for the terrain analysis in the tasks of design automation of wind-power stations

Vestnik MGSU 3/2014
  • Volkov Andrey Anatol’evich - Moscow State University of Civil Engineering (MGSU) Rector, Doctor of Technical Sciences, Professor, Chair, Department of Information Systems, Technology and Automation in Civil Engineering, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; +7 (499) 929-52-29; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Sukneva Luiza Valer'evna - Moscow State University of Civil Engineering (MGSU) postgraduate student, assistant, Department of Information Systems, Technology and Automation in Civil Engineering, leading engineer of the analytical department, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Kirschke Heiko - Bauhaus-Universitat Weimar Doctor of Engineering, Professor, Department of Computer Science in Civil Engineering, Bauhaus-Universitat Weimar, 7 Coudraystrabe, Weimar, 99423, Germany; +49 (0) 36 43; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 254-261

The lack of ground and constantly growing price for energy sources are the reason for using alternative energy. The rules of the world community for environmental protection is the motivation for using renewable energy sources. It is necessary to automate the processes of the design technology for the alternative energy structures and their operation, as well as data gathering and analisys on all the existing objects. There is also the need to automise these objects' management. The topic of this article is connected to the analysis of terrain for designing windpower stations. The regional wind maps are valuable tools for the wind farm developer for searching site, but they are not accurate enough to justify the financing of the development. For the majority of prospective wind farms, the developer must undertake a wind resource measurement and use analyzing program. This should provide a robust prediction of the expected energy production over its lifetime. The authors note that a prediction of the energy production of a wind farm is possible using such methods as the wind atlas methodology within WAsP and show the main instruments.

DOI: 10.22227/1997-0935.2014.3.254-261

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