The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/fc1e49ca-08b6-435d-9888-a73f334edd92

Schmidt, Helena; Leschinger, Valentin; Müller, Florian J. Y.; De Vries, Gerdien; Renes, Reint Jan et. al. (2024): Survey data on residents' assessment of an airborne wind energy system in Germany. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fc1e49ca-08b6-435d-9888-a73f334edd92.v1

Dataset

• Psychology
• Renewable Energy
• Environmentally Sustainable Energy Activities
• Energy
• Psychology and Cognitive Sciences

airborne wind energy, attitude, community acceptance, social acceptance, social impact, wind turbine

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Helena Schmidt , Valentin Leschinger , Florian J. Y. Müller , Gerdien De Vries , Reint Jan Renes , Roland Schmehl , Gundula Hübner

This dataset contains data collected during a survey study of residents living up to 3.5 km from an airborne wind energy system in Schleswig-Holstein, Germany. The study measured residents' evaluation of a local AWES and compared it to their assessment of a nearby wind farm. Respondents rated various impacts of the AWES and wind farm on residents and nature (e.g., landscape, noise, shadow, environmental, and economic impacts). Furthermore, respondents described their perceptions of the AWES and indicated their attitudes towards local renewable energy projects and renewables in general. The questionnaire contained both closed and open questions. The data was collected between June and July 2022 as part of Helena Schmidt’s PhD thesis project in the Wind Energy Section of Delft University of Technology. The data is made publicly available as supplementary data for publications and the PhD thesis of Helena Schmidt and for other researchers to use in their work. Data collection was made possible by a grant from the Dutch Research Council (NWO) [grant number 17628].

• 2024-01-29 first online, published, posted

4TU.ResearchData

.txt, .csv, .xlsx

• Crossover (grant code 17628) [more info...] NWO

Delft University of Technology, Wind Energy Group/Organisation and Governance Group;
MSH Medical School Hamburg, Department of Psychology;
Martin-Luther-University Halle-Wittenberg, Health and Environmental Psychology Group;
Amsterdam University of Applied Sciences, Psychology for Sustainable Cities Group