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Multiscale water transport in hydrogel-based bionic leaf coolers

Project description

Hydrogel-based cooling to enhance photovoltaic efficiency

When photovoltaic cells get too hot, their efficiency drops, limiting their ability to help meet the EU’s net-zero energy goals. Supported by the Marie Skłodowska-Curie Actions programme, the SEASIDE project will develop a hydrogel-based bionic leaf cooler (HBLC) to improve photovoltaic performance through pump-free evaporative cooling. Specifically, it will create a high-fidelity multiscale computational model that captures coupled flow, heat transfer and evaporation across different length scales. Additionally, the project will study the mechanisms behind self-adaptive cooling and how design parameters affect performance. In addition, it will develop a machine-learning-assisted optimisation tool to identify optimal HBLC designs. The project aims to increase photovoltaic efficiency, boosting renewable electricity generation and reducing CO2 emissions.

Objective

Photovoltaic cells (PVCs) form a crucial part of the EU net-zero ambition, with a targeted capacity of 600 GW by 2030. However, high operating temperatures severely limit PVCs' electrical efficiency. An emerging solution is to use the hydrogel-based bionic leaf cooler (HBLC). The HBLC mimics the structure of plant leaves using fibre bundles and hydrogel particles, to achieve pump-free water transport and efficient evaporative cooling, boosting PVCs' electrical efficiency by 10+%. Despite its massive potential, HBLC development is hindered by our limited understanding of its multiscale water transport mechanisms and the lack of high-fidelity simulation tools.

This project will integrate multidisciplinary expertise of the fellow and host to address the challenges with three objectives: (1) develop a high-fidelity multiscale computational model for water transport in HBLC, incorporating the coupled flow, heat transfer, and evaporation, and resolving the distinct length scales; (2) uncover the fundamental mechanisms that the flow, heat transfer, and evaporation interact to achieve self-adaptive high-rate evaporative cooling, and elucidate the dependence of the HBLC cooling performance on system parameters, e.g. the geometries and materials properties of the fibre bundles and hydrogel particles; (3) develop a machine-learning-assisted optimization tool to identify optimum HBLC designs.

The project will lead to a step change in high-fidelity modelling and scientific understanding of the multiscale water transport in HBLCs. These could lead to a paradigm shift from trial-and-error experiment-based to high-fidelity simulation-based design of high-performance, low-cost, eco-friendly HBLCs for PVCs. With the developed optimization tool, the project target is a >16% relative increase in PVC efficiency through HBLC cooling, which can generate >100 TWh of electricity and reduce >21 million tons of CO2 emissions annually by 2030, contributing to the EU's net-zero ambition.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

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

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

QUEEN MARY UNIVERSITY OF LONDON
Net EU contribution
€ 260 347,92
Address
327 MILE END ROAD
E1 4NS LONDON
United Kingdom
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data