Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System

Project description

AI-based identification and development of optimal clean energy sites

Supported by the Marie Skłodowska-Curie Actions programme, the RESSAIG project aims at developing AI-powered solutions to streamline the identification of optimal sites for diverse renewable energy systems such as photovoltaic arrays, concentrated solar power (CSP) and onshore/offshore wind farms. By integrating deep learning, remote sensing, data from geographic information systems (GIS), and official datasets, the project will enable a more efficient and sustainable planning of energy. RESSAIG will reduce costs and development times while supporting the production of green hydrogen and accelerating the transition to low-carbon energy systems.

Objective

The RESSAIG project (Renewable Energy Site Selection using Artificial Intelligence and Geographic Information System) aims to enhance the identification and development of sites for clean renewable energy sources, such as photovoltaic (PV) arrays and both onshore and offshore wind farms. Utilizing a blend of Artificial Intelligence (AI), deep learning, remote sensing data, Geographic Information Systems (GIS), and government datasets, the project seeks to optimize site selection for renewable energy and water desalination necessary for hydrogen production.
Amidst the global shift towards sustainable energy solutions to combat climate change, there is an urgent need for more efficient and precise methods for identifying optimal sites for renewable energy installations. Traditional methods often overlook critical environmental, economic, and social factors that RESSAIG's integrative approach will consider, thus ensuring more sustainable and economically viable energy production.
The urgency for sustainable and low-carbon energy solutions is accentuated by increasing environmental concerns and international commitments to reduce carbon footprints. RESSAIG's advanced mapping technologies come at a crucial time to meet the growing demand for renewable energy infrastructure and support the transition towards green hydrogen as a key energy carrier for the future.
Our team brings together leading experts in AI, GIS, remote sensing, and renewable energy, uniquely positioning us to tackle this complex challenge. Our interdisciplinary approach combines cutting-edge technology with extensive field knowledge, enabling us to provide innovative solutions that are both scientifically rigorous and practically applicable.
RESSAIG enhances renewable energy site selection, reducing costs and driving investment through detailed cartographies and economic analyses, fostering informed decisions and promoting sustainability, economic growth, and job creation.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

You need to log in or register to use this function

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2024-PF-01

See all projects funded under this call

Coordinator

UNIVERSITA DEGLI STUDI DI TRENTO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 209 483,28
Address
VIA CALEPINA 14
38122 Trento
Italy

See on map

Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data
My booklet 0 0