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Crystal Dye Converts Buildings into Energy Plants - News Directory 3

Crystal Dye Converts Buildings into Energy Plants

August 12, 2025 Lisa Park Tech
News Context
At a glance
Original source: elpais.com

Smart Windows on the ⁢Horizon: New ⁢Dye Technology Promises ‌Energy-Generating Transparency

Researchers at the University of Pablo de Olavide‌ (UPO) ⁤in Seville, Spain, are pioneering a⁣ new approach ⁣to solar energy, developing phototropic dyes that could transform windows into electricity-generating ⁣power ‍sources.The innovative technology aims to bridge the gap between transparency and energy ⁣production, creating “smart windows” capable ‌of adapting to changing light conditions.

The project,spearheaded by Professor Juan Antonio Anta and his team within the Pisco international collaboration,focuses on creating dyes that become darker when exposed to strong sunlight,while remaining highly clear in low-light conditions.‍ This dynamic functionality ​is crucial for integrating ⁤solar cells seamlessly into building infrastructure.

“This work demonstrates the viability of combining two functions that are usually difficult to reconcile, phototropism ⁣and photovoltaics, within a⁤ single device and using a single molecule,” highlighted the Royal Society of Chemistry. “It represents an critically‌ important step towards dynamic‍ and⁣ energy generators for the‌ next⁤ generation of buildings and infrastructure.”

These phototropic dyes are molecules that change color in response to light. By incorporating ‌them into semi-transparent solar ​cells, the UPO team envisions a future where windows actively contribute to a building’s energy needs.

“The idea is to⁢ incorporate photovoltaic panels ⁢into buildings,” ‍explains⁣ Professor Anta. “To incorporate a solar cell into a window you need ⁢it to be semi-transparent, and for the window to also be intelligent⁢ – that is, ⁢to ‍darken during the day ⁢while concurrently producing electricity.” ⁤ Potential applications extend beyond buildings, with greenhouses representing another promising area where the technology could provide both energy generation and plant protection.

Addressing Current⁣ Limitations in Solar Technology

Current solar panel technology faces challenges related to ​heat and‌ stability.Surprisingly, photovoltaic generation can decrease during the⁢ hottest months due to reduced silicon efficiency. While longer daylight hours partially compensate for this, ‌moderate radiation levels are ideal for optimal energy production.

The Pisco group’s organic dye-based technique ‍directly addresses these issues, aiming ‍for materials that⁤ are not only more stable ​and robust but also⁢ respond more quickly to fluctuating light levels. ​The core objective is to maintain thermal stability ​within buildings without ​compromising energy⁢ generation.

Inspired by the human ‌eye – renowned for its light-responsive capabilities – the team is investigating molecules that‍ mimic ⁤this natural efficiency. The research team includes Professor Gerko Oskam,postdoctoral researchers Renán Escalante⁣ and Valid Mwalukuku,and predoctoral student Patricia Sánchez Fernández. The ⁣Anta team’s broader research focuses on energy ⁢photoconversion processes, optoelectronics, and simulation ‍in solar cells, extending to ⁣novel materials for solar hydrogen generation.

A Dual Benefit: Transparency and Energy production

“this technology has​ the potential⁣ to contribute substantially to converting passive windows into active solar‍ cells,” says Johan Liotier, a chemist from ⁣the University of Friburg and member of the research team.”For ⁤window applications, both transparency and ‍the ability⁣ to provide shade when necessary are ‌key features, ‍and this‍ approach can achieve both while generating​ energy.”

Optimizing‌ Solar Plant Performance with Predictive Control

Alongside ‌this⁣ breakthrough in⁣ dye technology, Professor ⁤Eduardo Fernández Camacho of the University of Seville has received funding from the European Research Council (ERC) ⁣for his project on the Cooperative Optimal Control of ⁢Solar Plants. His research focuses on utilizing predictive control algorithms with multiple scenario models (MSC-MPC)​ to optimize energy production ⁢in⁤ commercial solar plants.

The⁢ goal is to ‍coordinate the​ various subsystems within a solar plant, forecasting production several days in advance ⁢while ⁣accounting for uncertainties in both environmental conditions and market demands. This holistic approach promises to​ significantly⁤ enhance the ‍efficiency and reliability of large-scale solar energy generation.

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