Overview

The Grid Edge Technologies initiative is dedicated to advancing solutions at the intersection of the power grid and end-users. Our mission focuses on enhancing the integration and optimization of distributed energy resources, EVs, battery storage, and demand-side management.

Projects

As the energy sector moves toward sustainability and electrification, this project aims to develop a next-generation, climate-resilient framework that integrates EV infrastructure, renewable energy, energy storage, digital intelligence, and modular energy hubs. It will deploy grid-forming inverter systems combined with photovoltaics, green hydrogen, and advanced battery storage to create hybrid microgrids optimized for arid environments. Smart EV integration will feature V2G-capable, thermally managed chargers with AI-driven schedules that consider grid constraints and user behavior. A multi-layer digital twin platform will enable predictive maintenance, real-time control, and resilience testing against environmental, technical, and cyber threats. The project also prioritizes cybersecurity, interoperability, and sustainable design, including life cycle assessments and second-life battery use. Expected outcomes include pilot-tested systems, AI-integrated software, policy recommendations, and training modules to support commercialization. Ultimately, the project aims to position Qatar and the MENA region as leaders in secure, sustainable, and adaptive grid-edge solutions.

The proposed project aims to enhance energy efficiency and resilience in homes through an innovative platform that integrates predictive analytics, behavioral strategies, and Distributed Energy Resources (DER). Supported by targeted policies and AI-driven optimization, this platform will enable KAHRAMAA and households to achieve smarter and more efficient electricity use.

Leverage IoT technology and AI-driven automation to streamline operations, reduce complexity, and optimize resource utilization. Additionally, assess the economic viability and long-term sustainability of the system through a comprehensive techno-economic analysis.