Main subject area: Multifunctional land use, agrivoltaics, land use conflicts, social science, stakeholder acceptance, and innovation diffusion
Have you ever wondered what agrivoltaics are? How can we combine food and renewable energy production on farmland? And in what cases (or not) this could be a valuable approach?
This project gives you the chance to contribute to a growing field at the intersection of sustainability, technology, and community engagement. Agrivoltaics could pave the way to a greener future, but its success depends on how well it’s accepted by farmers, policymakers, and local communities.
You’ll have the freedom to collect your own data, conduct interviews, explore Virtual Reality tools, or dive into literature and media analysis. Agrivoltaics perception is an exciting and timely topic to explore through:
Material that can be offered for data collection:
Virtual Reality headset to experience vertical and horizontal agrivoltaics as well as a conventional solarpark in the Foulum area.
Useful readings on how to design and conduct interviews:
Flick, U. (2018). Designing qualitative research.
Brinkmann, S., & Kvale, S. (2018). Doing interviews.
Useful readings on stakeholder acceptance of multifunctional land use systems such as agrivoltaics:
Torma, G., & Aschemann-Witzel, J. (2023). Social acceptance of dual land use approaches: Stakeholders' perceptions of the drivers and barriers confronting agrivoltaics diffusion. Journal of Rural Studies, 97, 610-625. https://doi.org/10.1016/j.jrurstud.2023.01.014
Torma, G., & Aschemann-Witzel, J. (2024). Sparking stakeholder support: Creating personas for renewable energy innovation adoption based on qualitative data analysis. Energy Research & Social Science, 109, 103407. https://doi.org/10.1016/j.erss.2023.103407
Any time
AU Viborg or Aarhus main campus
30 ECTS: Theoretical thesis based on literature studies and/or analysis of issued and edited data sets.
45 ECTS: Experimental theses in which the student is responsible for collection and analysis of his/her own original data
60 ECTS: Experimental theses in which the student is responsible for planning, trial design and collection and analysis of his/her own original data