Project Details
Description
NEON is a multidisciplinary research program addressing three interrelated societal challenges: climate action, renewable energy, and smart & sustainable transport. We believe integral research combining societal, economic and technological expertise is the key to understanding and solving today's big challenges. Our research focuses on making impact. Therefore we closely collaborate with over twenty industry partners, multiple governmental institutions and other societal partners. Next to that we are connected to some of the biggest experts in the international research community.The 33 PhD positions combined in the NEON program are subdivided in the domains: Sustainable energy, Smart & safe mobility, Societal integration and Integral models. Covering everything from chemistry and electrical engineering to law and psychology. All working together with the same drive towards our mutual goal of accelerating the energy and mobility transition through integral, multidisciplinary research.The NEON methodology is innovative in that it focuses on difficult technological problems while simultaneously evaluating and testing all technological and social options in a system setting through social research, living labs and an integral computer model. This requires integrating and interfacing technological knowledge with knowledge from the social sciences and humanities.
| Acronym | NEON |
|---|---|
| Status | Finished |
| Effective start/end date | 1/11/20 → 31/10/24 |
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System design and scaling trends in airborne wind energy demonstrated for a ground-generation concept
Joshi, R., Von Terzi, D. & Schmehl, R., 2025, In: Wind Energy Science. 10, 4, p. 695-718 24 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)112 Downloads (Pure) -
Developing a Reference Economic Model for Airborne Wind Energy Systems
Joshi, R., Trevisi, F. & Petrick, K., 2024.Research output: Contribution to conference › Abstract › Scientific
Open AccessFile53 Downloads (Pure) -
Power curve modelling and scaling of fixed-wing ground-generation airborne wind energy systems
Joshi, R., Schmehl, R. & Kruijff, M., 2024, In: Wind Energy Science. 9, 11, p. 2195–2215 21 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)28 Downloads (Pure)