Parthenope University of Naples
Funder (2)
15 Projects, page 1 of 3
- Project . 2015 - 2018Open Access mandate for Publications and Research dataFunder: EC Project Code: 649342Overall Budget: 1,092,500 EURFunder Contribution: 1,092,500 EURPartners: Parthenope University of Naples, University of Turku, UAB, SERI Germany
The EUFORIE project studies energy efficiency at macro level (EU as a whole and comprison to China), national level (EU-28 Member States), sectoral/company level (selected energy-intensive sectors and companies) and household level, taking into account the perspectives of energy production and consumption. The project uses also participatory foresight workshops to provide new information for energy policy preparation in selected EU Member States. The project has nine Work Packages, the Research/Innovation WPs focus on (1) macro-level analysis on energy efficiency (EU as a Whole and EU-28 Member States; WP2), (2) regional and sectoral case studies on energy efficiency (WP3), and (3) energy efficiency metabolism in socio-economic systems (WP4) by using innovative analysis tools developed by the EUFORIE consortium beneficiaries in previous projects financed by the EuropeanCommisson. Moreover, the project analyses energy efficiency from the consumer perspective (WP5) and energy efficiency development in selected energy-intensive companies by using the previously developed analysis tools (WP6). Last but not least, the project implements a participatory foresight process for energy efficiency stakeholders in selected countries (WP7) and a comparison of energy efficiency in the EU and China (WP8).
- Project . 2012 - 2015Funder: EC Project Code: 269134Partners: UNIBS, UNIPG, Brunel University London, Parthenope University of Naples
- Project . 2013 - 2016Funder: EC Project Code: 319014Partners: USC, University Federico II of Naples, Parthenope University of Naples, University of Manchester
- Project . 2010 - 2011Funder: EC Project Code: 256850Partners: NTUA, PLANET, UNIST, Parthenope University of Naples, TU GRAZ, ENEA
- Project . 2020 - 2022Open Access mandate for Publications and Research dataFunder: EC Project Code: 890898Overall Budget: 998,165 EURFunder Contribution: 998,165 EURPartners: ARIANET, Parthenope University of Naples, FMI, Royal Netherlands Aerospace Centre Amsterdam, UPC, CIRA
Air operations largely use weather information (visibility, wind, precipitation) to make the air traffic flow safe, continuous and efficient. Runway choice, arrival and departure routes are all affected by local weather. As climate changes are ongoing, with larger variability in local phenomena, available information on the weather on short and longer notice are increasing and technology is being improved to use this information. CREATE aims to achieve innovative procedures in ATM to reduce climate and environmental impact, while becoming more resilient to weather phenomena. CREATE will (1) study the vulnerability of the ATM system with respect to weather phenomena to improve ATM procedures (2) study the impact of aviation on the environment both short and long term, in order to propose ATM operational changes able to reduce such impact (3) study possible new meteo tools and methodologies to integrate their use in ATM (4) study and propose ATM operational changes to improve efficiency of air traffic management and reduce related environmental impact for both en-route and TMA flight phases, while improving the ATM resilience with respect to weather phenomena (5) validate proposed ATM operational changes to reduce ATM environmental impact and improve ATM resilience with respect to weather. The ATM system will be looked at from the en-route operations and TMA operations perspectives. CREATE will utilize curved trajectories, to be optimized on-board basing on the CREATE optimization tool. Around these tactically modified trajectories, a concept of operation will be developed based on the SESAR principles for TBO and i4D, enabling the Network Manager for more efficient overall flows optimization, strengthen ATM resilience. CREATE will rely on weather ensemble forecasting models, allowing high resolutions and short-range forecasts, thus contribution to the reduction of aviation’s impact on the environment and climate and improve ATM’s resilience to these phenomena.