Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods-Reference-Cited by-同舟云学术

Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods

Published:2015-08-14 Issue:8 Volume:8 Page:8682-8703
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Van Ackere Samuel,Van Eetvelde Greet,Schillebeeckx David,Papa Enrica,Van Wyngene Karel,Vandevelde Lieven

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/8/8/8682/pdf

Reference58 articles.

1. European Union commitment towards RES market penetration: From the first legislative acts to the publication of the recent guidelines on State aid 2014/2020

2. Combining the VAS 3D interpolation method and Wind Atlas methodology to produce a high-resolution wind resource map for the Czech Republic

3. Open Ruimte in Verstedelijkt Vlaanderen: Een Vergelijkende Studie Naar Vier Onderschatte Ruimtegebruiken;Tempels;Ruimte Maatsch.,2013

4. Luchtkwaliteit in het Vlaamse Gewest—Jaarverslag Immissiemeetnetten,2014

5. Windenergie Winstgevend,1998

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance Evaluation of Offshore Wind Turbine Support Structures - A Review;2023 12th International Conference on Renewable Energy Research and Applications (ICRERA);2023-08-29

2. Comprehensive validation of 68 wind speed models highlights the benefits of ensemble approaches;Energy Conversion and Management;2023-06

3. Statistical Methods;Handbook of Wind Resource Assessment;2023-03-11

4. Data-driven mapping of hourly wind speed and its potential energy resources: A sensitivity analysis;Renewable Energy;2022-11

5. Improved quality gridded surface wind speed datasets for Australia;Meteorology and Atmospheric Physics;2022-09-01