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AI-Powered Quantum Solar Revolution
Transforming solar energy with quantum computing and artificial intelligence for a sustainable future.
ExploreThe Problem
Using solar energy is an excellent way to harness clean, renewable power—but it comes with a catch: when battery packs overheat during charge–discharge cycles, they suffer accelerated capacity loss, safety risks like thermal runaway, and higher cooling and maintenance costs.
Accelerated capacity fade, reducing the amount of energy the system can store and deliver over its lifetime.
Elevated safety risks, including thermal runaway, venting, or even fires if temperatures aren't carefully managed.
Increased operational costs and downtime, as active cooling systems and safety interlocks add expense and can interrupt energy availability.
Our Solution
Quantum Computing
We leverage Quantum Computing to simulate and identify novel battery materials with enhanced energy density and longevity using Material Quantum Algorithms.
- •Atomic-level material modeling
- •High-efficiency battery material discovery
- •Cost-effective energy storage solutions
Artificial Intelligence
We integrate AI/ML to optimize solar panel and battery placement through analysing temperature and population density, and enhance power grids for dynamic energy distribution.
- •Analysis of the temperature and population density features
- •Optimal panel and battery placement
- •Power grid enhancement and load balancing
Alignment with SDGs
SDG 7
Affordable & Clean Energy
Improve solar efficiency to accelerate renewable energy adoption globally.
SDG 11
Sustainable Cities & Communities
Enable smart urban planning with optimized renewable energy integration for more sustainable, resilient cities.
Impact
Scalability
Applicable to urban and rural settings globally, particularly in sun-rich but energy-poor regions.
Sustainability
Extend battery lifespan and reduce waste while lowering energy costs for communities.
Innovation
Combine QC and AI to address a critical bottleneck in the renewable energy lifecycle.
Key Differentiator
A Holistic QC+AI Approach
We address both material science limitations and systemic inefficiencies in solar energy deployment, creating a blueprint for scalable, socially impactful climate tech.
End-to-End Solution
From material discovery to deployment optimization and maintenance
Dual Technology Advantage
Leveraging both quantum computing and AI for maximum impact
Social Impact Focus
Prioritizing accessibility and affordability for underserved regions
Scalable Framework
Adaptable to different environments, infrastructures, and energy needs
About Us
EnergetiQ – Qطاقة is powered by a diverse group of students and enthusiasts in quantum computing, artificial intelligence, and renewable energy, united by a shared passion for clean-energy innovation. Though we’re still learning the ropes, our team brings together hands-on experience from university projects in material science, machine learning, and solar technology exploration across different regions. As hackathon participants, we’re drawing on this collective curiosity to prototype solutions that advance the UN Sustainable Development Goals. Above all, we’re committed to making renewable power more accessible and affordable—one creative idea at a time.
Join the Revolution
Ready to transform solar energy with quantum computing and AI? Get in touch with our team.