open call

Call: Experimental and numerical noise assessment of distributed propulsion configurations

Programme	Horizon 2020 - Societal Challenges
Type of Fund	Action programme
Description of programme "Horizon 2020 - Societal Challenges "	A challenge-based approach will bring together resources and knowledge across different fields, technologies and disciplines, including social sciences and the humanities. This will cover activities from research to market with a new focus on innovation-related activities, such as piloting, demonstration, test-beds, and support for public procurement and market uptake. Funding focuses on the following challenges: Health, demographic change and wellbeing; Food security, sustainable agriculture and forestry, marine and maritime and inland water research, and the Bioeconomy; Secure, clean and efficient energy; Smart, green and integrated transport; Climate action, environment, resource efficiency and raw materials; Europe in a changing world - inclusive, innovative and reflective societies; Secure societies - protecting freedom and security of Europe and its citizens.
Link	Link to Programme
Description of programme "Smart, Green and Integrated Transport"	Within this programme Horizon 2020 will provide funding for a resource efficient transport that respects the environment, aims at a better mobility, less congestion, more safety and security, supports a global leadership for the European transport industry and targets a socio-economic and behavioural research and forward looking activities for policy making.
Call	Experimental and numerical noise assessment of distributed propulsion configurations
Description of call "Experimental and numerical noise assessment of distributed propulsion configurations"	This thematic topic focuses on the assessment of noise reduction opportunities associated to new aircraft configurations, more specifically those related to electrically driven propulsors. The expected project outcome is to deliver an improved understanding of key noise aspects involved in such distributed electric propulsion (DEP) configurations, at experimental and numerical level. This will enable an initial assessment of the overall noise level achievable for typical DEP options including the evaluation of key noise contributors and efficiency of their respective mitigation means.
Link	Link to Call
Thematic Focus	Technologies, Research, Innovation
Funding area	EU Member States Albania / Shqipëria Bosnia and Herzegovina Iceland / Ísland Moldova Montenegro / Crna Gora/Црна Гора North Macedonia / Северна Македонија Norway / Norge Serbia / Сpбија Switzerland / Schweiz / Suisse / Svizzera Turkey / Türkiye Ukraine / Україна Oukraïna Others
Origin of Applicant	EU Member States Albania / Shqipëria Bosnia and Herzegovina Iceland / Ísland Moldova Montenegro / Crna Gora/Црна Гора North Macedonia / Северна Македонија Norway / Norge Serbia / Сpбија Switzerland / Schweiz / Suisse / Svizzera Turkey / Türkiye Ukraine / Україна Oukraïna Others
Eligible applicants	Education and Training Centres, Federal State / Region / City / Municipality / Local Authority, Research Institution, Lobby Group / Professional Association / Trade Union, International Organization, Small and Medium Sized Enterprises, SMEs (between 10 and 249 employees), Microenterprises (fewer than 10 employees), NGO / NPO, Public Services, National Government, Start Up Company, University, Enterprise (more than 250 employees or not defined), Association
Applicant details	All legal entities located in the EU or in Third Countries can participate in Horizon 2020
Project Partner	Yes
Project Partner Details	As a principle all projects (except coordination and support activities) must comprise at least 3 partners from at least 3 EU Member States or other eligible countries
Call opens	21.05.2019
Call closes	03.09.2019
Project duration max	42 months
Type of Funding	Grant
Financial details	Indicative budget per project: 2 million € Co-financing rate: max. 100%
Submission	Online via Funding & Tenders Portal
Contact Details	Link to the National Contact Point Finder.