Supplement to: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Methodology for combining acceptance surveys with spatial conflict analysis offers a replicable approach for energy transition research.

🏢実務担当者:Utility and energy developers can use the conflict risk classes to better site wind projects and anticipate local opposition.

🏛政策担当者:Highlights the importance of incorporating social acceptance into spatial energy planning to reduce conflicts and accelerate deployment.

This is the cleaned data and questionnaire (in German (original) and English (translated), Please see file "Picture Sources" for licenses and picutre credits) supporting the findings of the paper: Mapping Landscape Suitability for Wind Energy in Germany: An Interdisciplinary Approach Combining Local Acceptance and Spatial Conflict Risks (currently under review). Building upon conflict risk classes, our study proposes an interdisciplinary framework that considers public acceptance, landscape characteristics and techno-economic constraints within a spatial planning approach for renewable energy projects. Therefore, using a questionnaire, we empirically assess the socially perceived suitability of and the potential for protests regarding the construction of wind turbines in thirteen different landscape types. Furthermore, we investigated on the effect of ecological compensation measures on the perceived landscape suitability and the willingness to protest.  Specifically, the questionnaire was designed to answer the following questions:  RQ1: What is the current level of public acceptance of wind energy expansion in Germany in 2025, and how does it vary across regions? RQ2: How do different landscape types differ in perceived suitability for wind energy development and willingness to protest? RQ3: How can the empirical acceptance data be translated into landscape-specific conflict risk classes, and what spatial patterns emerge from this classification? RQ4: How can acceptance-based conflict risks be integrated with technically derived conflict risks, and what implications does this integration hold for landscape planning and the technical expansion potential of wind energy? Please refer to the related journal article for the references of the questionnaire items.  The cleaned data set comprises n = 1014 individual data sets that were used for analysis.

• Zenodo https://zenodo.org/records/20541930first seen 2026-06-05 04:16:40 · last seen 2026-06-06 04:15:12