Reducing Environmental Footprint through transformative Multi-scale Aviation Plannin
Project Motivation
In todayās world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part.Ā RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.
Project Ambition
RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.
Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.
RefMap use cases
RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:
- Use cases in large scale (airlines and airports)
- Use cases in small scale (urban air mobility)
How does Future Needs participate?
Future Needs leads the following activities:
- Project Branding, Dissemination and Communication activities
- Clustering with relevant projects and ATM/U-space stakeholders
Future Needs also leads the āDevelopment of the RefMap services and the new European businesses they enableā work package which aims to:
- Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
- Define and validate the new business models that the RefMap analytics will enable
Funding
The funding of the project comes from HORIZON-CL5-2022-D5-01-13
Project Facts
Reducing Environmental Footprint through transformative Multi-scale Aviation Plannin
Project Motivation
In todayās world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part.Ā RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.
Project Ambition
RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.
Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.
RefMap use cases
RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:
- Use cases in large scale (airlines and airports)
- Use cases in small scale (urban air mobility)
How does Future Needs participate?
Future Needs leads the following activities:
- Project Branding, Dissemination and Communication activities
- Clustering with relevant projects and ATM/U-space stakeholders
Future Needs also leads the āDevelopment of the RefMap services and the new European businesses they enableā work package which aims to:
- Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
- Define and validate the new business models that the RefMap analytics will enable
Funding
The funding of the project comes from HORIZON-CL5-2022-D5-01-13
Project Facts
Reducing Environmental Footprint through transformative Multi-scale Aviation Plannin
Project Motivation
In todayās world that climate change is a major threat, the need to assess and minimise the environmental impact of our activities become evident. Aviation is a major contributor to the emitted greenhouse gases and the rapid rising of urban air mobility will only add to this problem. For this reason, there is a need to create a management system that will optimise trajectories. Optimising trajectories will not only help reduce the environmental footprint of aviation and urban air mobility, but also will have a financial benefit. At the same time, while more and more vehicles move through the air, the impact of the noise they produce, on both community and wildlife remains understudied. Both for emissions and noise, the natural air flows play also a big part.Ā RefMap aims to address these issues through the development of a transformative digital technology platform that allows quantifying the environmental footprints associated with multi-scale aviation using big data and AI.
Project Ambition
RefMap aims to revolutionise the aviation industry by developing a comprehensive approach to improving air traffic management, reducing environmental footprint, and assessing and minimising the noise impact of drones on communities and wildlife. The project utilises cutting-edge technologies, including deep learning techniques, HPC auto-tuning, and GPU acceleration, to accurately predict flow patterns, optimise drone trajectories, and conduct high-fidelity simulations. To ensure ethical data acquisition, the project also prioritises cyber security and decentralised data management.
Beyond technology, RefMap also has a holistic view of aviation business models and aims to align aviation needs with stakeholders’ needs to extrapolate the business value of green technology. By promoting green management practices, RefMap demonstrates how green technologies can benefit all aviation stakeholders, from airlines and airports to communities and wildlife. RefMap’s ambition extends beyond developing an air quality model; it also includes developing a flight dynamic model that can handle high-density aircraft scenarios, optimising commercial flight trajectories to reduce environmental impact, and minimising the impact of drone noise on populated areas through noise generation and perception optimization. The project also seeks to create a drone noise impact assessment approach for wildlife and provide guidelines to minimise the impact of drone noise on both communities and wildlife.
RefMap use cases
RefMap tool will have an impact on the service offer of aviation operators active in the large scale, such as airlines and small scale, such as drone operators. This tool will enable the provision of new and environmentally-optimal services in the small scale and the optimisation of current aircraft operations. The stakeholders involved and benefited from the outcomes of RefMap are: airlines, drone operators, airports, regulators and policy-makers. The services that are envisioned to be enabled through our technology in the RefMap project are briefly described in the following use cases:
- Use cases in large scale (airlines and airports)
- Use cases in small scale (urban air mobility)
How does Future Needs participate?
Future Needs leads the following activities:
- Project Branding, Dissemination and Communication activities
- Clustering with relevant projects and ATM/U-space stakeholders
Future Needs also leads the āDevelopment of the RefMap services and the new European businesses they enableā work package which aims to:
- Validate the potential of RefMap analytics, simulations and platform and define the MVP based on user needs
- Define and validate the new business models that the RefMap analytics will enable
Funding
The funding of the project comes from HORIZON-CL5-2022-D5-01-13
