Effects of Individuals Lost Due to Wind Turbines on the Time of Occupying a Territory, the Survival of Breeding Territories and the Breeding Success of White-Tailed Sea Eagles (Case Studies)

2017 ◽  
pp. 239-244
Author(s):  
Thomas Grünkorn ◽  
Georg Nehls
2019 ◽  
Vol 8 (1) ◽  
pp. 16-33 ◽  
Author(s):  
Sven Stremke ◽  
Sören Schöbel

Purpose The purpose of this paper is to enlarge the body of knowledge on research through design (RtD) methods that can be employed by landscape architects and others working on (but not limited to) sustainable energy transition. Design/methodology/approach A specific approach to RtD – qualitative landscape structure analysis (QLSA) – is introduced and illustrated by means of diagrams and photographs. Two case studies showcase the application of QLSA for research on solar parks in the Netherlands and research on wind turbines in the Alpine foothills in Southern Germany. Findings The case studies show how RtD can help to define design principles for large solar parks and arrangement of wind turbines in particular landscape types in the Netherlands and Germany, respectively. In doing so, RtD can help to expand the breadth of spatial research beyond well-established methods such as multi-criteria decision analysis and environmental impact assessment. Originality/value The paper provides insights into contemporary RtD in two countries and affirms the importance of such research with regard to landscape transformations while starting to define a research niche for landscape architects and other environmental designers working on the topic of sustainable energy transition.


Author(s):  
Xiaohong Chen ◽  
Qing Yu

This paper presents the research in support of the development of design requirements for floating offshore wind turbines (FOWTs). An overview of technical challenges in the design of FOWTs is discussed, followed by a summary of the case studies using representative FOWT concepts. Three design concepts, including a Spar-type, a TLP-type and a Semisubmersible-type floating support structure carrying a 5-MW offshore wind turbine, are selected for the case studies. Both operational and extreme storm conditions on the US Outer Continental Shelf (OCS) are considered. A state-of-the-art simulation technique is employed to perform fully coupled aero-hydro-servo-elastic analysis using the integrated FOWT model. This technique can take into account dynamic interactions among the turbine Rotor-Nacelle Assembly (RNA), turbine control system, floating support structure and stationkeeping system. The relative importance of various design parameters and their impact on the development of design criteria are evaluated through parametric analyses. The paper also introduces the design requirements put forward in the recently published ABS Guide for Building and Classing Floating Offshore Wind Turbine Installations (ABS, 2013).


2015 ◽  
pp. 969-976 ◽  
Author(s):  
G Oliveira ◽  
W Weijtjens ◽  
G Sitter ◽  
F Magalhães ◽  
Á Cunha ◽  
...  

Energy ◽  
2020 ◽  
Vol 209 ◽  
pp. 118450 ◽  
Author(s):  
A. López-González ◽  
M. Ranaboldo ◽  
B. Domenech ◽  
L. Ferrer-Martí

Author(s):  
Kostas Latoufis ◽  
Thomas Pazios ◽  
Katerina Chira ◽  
Nikos Korres ◽  
Nikos Hatziargyriou

Author(s):  
James G. Cleary ◽  
Thomas E. McDermott ◽  
Jonathan Fitch ◽  
David J. Colombo ◽  
Justice Ndubah
Keyword(s):  

2019 ◽  
Vol 9 (5) ◽  
pp. 835 ◽  
Author(s):  
Longfu Luo ◽  
Xiaofeng Zhang ◽  
Dongran Song ◽  
Weiyi Tang ◽  
Li Li ◽  
...  

The construction and gradual installation of turbines on wind farms has been hindered by the high cost of the energy production. An effective way to minimize energy costs is via the optimal design of wind turbines and their layout, but relevant and synthetic studies are lacking. This paper proposes a method to minimize the energy cost of offshore wind farms by simultaneously optimizing the rated wind speed, the rotor radius of wind turbines and their layout. Firstly, a new, mixed mathematical formulation of the energy cost is presented, considering the Weibull distribution for wind, the characterizing parameters of wind turbines and the distance between two turbines. Secondly, to obtain the minimum energy cost, a composite optimization algorithm was developed, which consists of an iterative method and an improved particle swarm optimization algorithm. The former was used to search the minimal energy costs that relate to the design parameters of a single wind turbine, while the latter was adopted for optimizing the layout of the wind turbines iteratively. Finally, the proposed method was applied to three case studies with variable wind speed and constant wind direction. Results of the case studies show that the reduced energy cost after optimization has a range of 0–0.001 $/kWh, which confirms the effectiveness of the proposed approach. Meanwhile, the layout of the wind turbines after optimization tends to locate the two wind turbines with the biggest spacing in the wind direction, which justifies the utilization of layout optimization. Furthermore, exploring the optimally designed parameters of wind turbines revealed that the wind farms with a high mean wind speed can have a wider range of turbine capacity than those with a low wind speed, which offers more freedom for the designers when constructing offshore wind farms at wind sites with rich wind resources.


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