Intelligent System to Support Decision Making Using Optimization Business Models for Wind Farm Design

Author(s):  
Daniela Borissova ◽  
Zornitsa Dimitrova ◽  
Vasil Dimitrov
Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1499 ◽  
Author(s):  
Esther Dornhelm ◽  
Helene Seyr ◽  
Michael Muskulus

To maintain the increasing interest and development in offshore wind energy, novel training tools for engineers and researchers are needed. Concurrently, educational outreach activities are in demand to inform the public about the importance of offshore wind energy. In this paper, the development of a serious game about the design and management of offshore wind farms is presented to address such demands. Such a serious game may enable a new audience to explore the field of offshore wind as well as provide researchers entering the field a better understanding of the intricacies of the industry. This requires a simulation that is realistic but also effective in teaching information and engaging outreach. Ultimately, increased public support and expanded training tools are desired to improve decision-making and to provide opportunities to test and integrate innovative solutions. The work presented here includes the game design and implementation of a prototype game. The game design involves building a game framework and developing a simplified simulation. This simulation addresses weather prediction, offshore wind farm design, operation and maintenance, energy demand, climate change, and finance. Playtesting of the prototype demonstrated immersion and informed decision-making of the players and surveys revealed that knowledge had increased while playing the game. Recommendations for future versions of the game are listed.


2013 ◽  
Vol 336-338 ◽  
pp. 1114-1117 ◽  
Author(s):  
Ying Zhi Liu ◽  
Wen Xia Liu

This paper elaborates the effect of wind speed on the output power of the wind farms at different locations. It also describes the correction of the power curve and shows the comparison chart of the standard power curve and the power curve after correction. In China's inland areas, wind farms altitude are generally higher, the air density is much different from the standard air density. The effect of air density on wind power output must be considered during the wind farm design.


2020 ◽  
Vol 50 (1) ◽  
pp. 80-94 ◽  
Author(s):  
Martina Fischetti ◽  
Jesper Runge Kristoffersen ◽  
Thomas Hjort ◽  
Michele Monaci ◽  
David Pisinger

Author(s):  
Tomoaki WASHIO ◽  
Noboru SAKAMOTO ◽  
Shuusaku NAKASHIMA ◽  
Isao AOKI ◽  
Koji KAWAGUCHI ◽  
...  

2016 ◽  
Vol 97 ◽  
pp. 849-859 ◽  
Author(s):  
Le Chen ◽  
Chris Harding ◽  
Anupam Sharma ◽  
Erin MacDonald

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