Pioneering Tomorrow
ZapTek Research Division (ZRD) tackles complex challenges in Energy, Aerospace, and Business Technology through rigorous scientific inquiry.
Nuclear Energy & Power Systems
Advancing sustainable nuclear energy through SMR grid integration and uranium fuel-system research.
ZapTek's Nuclear Energy & Power Systems division focuses on the engineering challenges surrounding the integration of Small Modular Reactors (SMRs) into modern power grids and the long-term sustainability of nuclear fuel systems. Our work combines power-system modelling, grid simulation, digital engineering and data-driven analysis to study how nuclear generation can work alongside renewable energy and other power-generation technologies to deliver reliable, resilient and sustainable electricity systems.
SMR Grid Integration
Power-system engineering for nuclear-integrated grids. We model how SMRs can be integrated into national and regional electricity systems, studying grid stability, dispatch, renewable integration, transmission requirements and long-term energy-system resilience.
Sustainable Uranium Fuel Systems
Researching the long-term sustainability of nuclear fuel resources. We study uranium resource sustainability, fuel-cycle requirements, lifecycle considerations and the relationship between nuclear fuel resources and long-term energy security.
Milestones
AI Prediction Model
Developing AI models for Uranium Enrichment and Reactor Performance optimization.
Digital Twin (SMR)
Creating machine learning digital twins for reactor performance simulation and safety.
Grid Integration Consultancy
Consultancy for integrating SMRs safely in local and regional power grids.
Meet the Nuclear Energy & Power Systems Team
Public Discussions
Watch our latest seminars and public outreach sessions.
Why Ghana/Africa Must Invest in SMRs
A deep dive into Small Modular Reactors and Africa's energy future.
AI INTEGRATION IN AFRICA'S REACTOR MANAGEMENT
Discussing the role of AI in optimizing nuclear reactor performance and safety in the African context.