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roboTics and Artificial intelligence Living labs improving Operations in PV Scenarios

Project description

Robotics-enhanced PV systems pave the way for a safer, sustainable energy transition

As the demand for renewable energy escalates, the photovoltaic (PV) sector faces critical challenges. Labour-intensive and hazardous tasks, along with rising operational costs and resource wastage, slow the industry’s growth. Additionally, human workforce limitations impact the efficiency and the monitoring capabilities of PV plants, necessitating a transformative solution. In this context, the EU-funded TALOS project will develop state-of-the-art robotics solutions for various PV energy scenarios, including land-based, floating and agriPV. Through its autonomous robotic systems, TALOS seeks to reduce greenhouse gas emissions, save water resources, lower operation and maintenance costs, and enhance PV plant performance. Furthermore, it will facilitate human-robot and robot-robot collaboration, making PV energy safer and more efficient.

Objective

TALOS will develop and demonstrate world-class robotics solutions for different photovoltaic (PV) energy operating scenarios – land-based, floating, and agriPV, promoting innovation in both the energy and agriculture sectors. TALOS will demonstrate the added value of robotics and their potential in reducing greenhouse gas (GHG) emissions (>450ton/year), minimising wasted resources (up to 35% water saved), lowering operation and maintenance (O&M) costs (up to 5%), and optimising human-robot and robot-robot collaboration to reduce humans' exposure to risky environments. Dangerous, dull, or dirty tasks will be performed autonomously by the TALOS solutions – such as monitoring, inspection, cleaning, and vegetation management, where robust robotics solutions will be developed for all PV scenarios and demonstrated to show increasing PV plant performance ratio up to 10%, reducing the risk exposure of O&M workers by 90% or the human burden of monitoring crops by 90% in the demonstration scenarios, allowing feasible inspection periods to be 24/7. A multi-robot platform and recommendation system will demonstrate >30 robot-robot interactions, >30 inspections, and human-in-the-loop features and training sessions for end users and workers. Requirements will be co-created with relevant stakeholders and refined for the technology partners within the consortium, as well as for the 9-13 robotics start-ups that will be granted the cascade funding and demonstrated in the test bed scenarios set up by the project.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

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

(opens in new window) HORIZON-CL4-2022-DIGITAL-EMERGING-02

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Coordinator

CNET CENTRE FOR NEW ENERGY TECHNOLOGIES SA
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.

€ 546 875,00
Address
RUA CIDADE DE GOA 4
2685 039 Sacavem E Prior Velho Lisboa
Portugal

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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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.

€ 1 212 500,00

Participants (16)

Partners (1)

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