Abolfazl Nateghi
Assistant Professor
Kharazmi University
Dr. Abolfazl Nateghi is a faculty member in engineering with 20 years of experience in power systems and energy. His work focuses on renewable integration, smart grids, microgrids, and distributed generation. He has contributed to national projects on solar deployment and grid optimization, and collaborates with academia and industry to advance sustainable energy solutions.
Participates in
TECHNICAL PROGRAMME | Energy Technologies
Solar, Wind and Nuclear Integration
Forum 21 | Digital Poster Plaza 4
29
April
11:30
13:30
UTC+3
Urban centers are increasingly challenged to transition toward decarbonized energy systems without compromising reliability, affordability, or scalability. One promising solution is the deployment of hybrid smart microgrids that combine renewable energy sources—particularly solar photovoltaic (PV), wind power, and green hydrogen storage—to form resilient and adaptive urban energy infrastructures. This study presents the conceptual design and numerical multi-objective optimization of such a system tailored to the dynamics of urban demand and spatial constraints.
The hybrid microgrid includes rooftop PV arrays, compact urban-scale wind turbines, hydrogen production through electrolysis, and lithium-ion battery energy storage. A smart Energy Management System (EMS), enhanced by machine learning algorithms and real-time sensing, optimally dispatches resources and forecasts load and generation. Key performance indicators (KPIs) assessed include energy independence, cost-effectiveness, carbon reduction potential, and supply reliability under variable operating conditions.
Preliminary simulation models, developed using standard urban load curves and regional meteorological datasets, demonstrate strong complementarities between solar and wind generation. Hydrogen storage functions as a seasonal energy buffer, improving long-term resilience. The study further explores urban policy requirements, regulatory frameworks, and integration strategies for the scalable implementation of such systems.
This research supports the strategic deployment of decarbonized, digitally enhanced microgrids and contributes to the advancement of net-zero targets in urban settings. It provides practical, actionable insights for city energy planners, grid operators, and policymakers aiming to achieve clean, flexible, and secure energy ecosystems.
Co-author/s:
Fatemeh Barati, Researcher, Kharazmi University.
The hybrid microgrid includes rooftop PV arrays, compact urban-scale wind turbines, hydrogen production through electrolysis, and lithium-ion battery energy storage. A smart Energy Management System (EMS), enhanced by machine learning algorithms and real-time sensing, optimally dispatches resources and forecasts load and generation. Key performance indicators (KPIs) assessed include energy independence, cost-effectiveness, carbon reduction potential, and supply reliability under variable operating conditions.
Preliminary simulation models, developed using standard urban load curves and regional meteorological datasets, demonstrate strong complementarities between solar and wind generation. Hydrogen storage functions as a seasonal energy buffer, improving long-term resilience. The study further explores urban policy requirements, regulatory frameworks, and integration strategies for the scalable implementation of such systems.
This research supports the strategic deployment of decarbonized, digitally enhanced microgrids and contributes to the advancement of net-zero targets in urban settings. It provides practical, actionable insights for city energy planners, grid operators, and policymakers aiming to achieve clean, flexible, and secure energy ecosystems.
Co-author/s:
Fatemeh Barati, Researcher, Kharazmi University.
TECHNICAL PROGRAMME | Energy Technologies
Powering Mobility: The Energy Transition and the Future of Transportation
Forum 24 | Technical Programme Hall 4
30
April
10:00
11:30
UTC+3
As electric mobility continues to expand, urban areas are confronted with the dual challenge of meeting rising energy demands and achieving environmental sustainability. Hybrid renewable-powered electric vehicle (EV) charging stations—integrating solar photovoltaic (PV), small-scale wind turbines, and battery energy storage—have emerged as a resilient and low-emission solution to support this transition.
This study investigates the design, modeling, and techno-economic performance of hybrid EV charging infrastructure specifically tailored for urban environments with variable renewable resource availability. A system configuration is proposed that combines PV generation, wind energy, and lithium-ion storage, coordinated by a smart control unit capable of real-time optimization. The model uses representative urban load profiles and meteorological datasets to assess key performance metrics such as energy autonomy, carbon emission reduction, and levelized cost of charging (LCOC).
In addition, sensitivity analyses are performed to evaluate system behavior under varying weather patterns, peak demand conditions, and pricing scenarios. Results indicate that hybrid systems provide greater energy reliability and economic efficiency compared to solar-only systems, particularly during extended low irradiance periods. Coupling with time-of-use pricing and demand response strategies further enhances integration with the distribution grid and improves return on investment.
The integration of advanced technologies such as vehicle-to-grid (V2G) interactions and green hydrogen buffering is also briefly examined. This research supports the design of robust, clean mobility infrastructure and offers actionable insights for city planners, energy policymakers, and infrastructure developers aiming to achieve national decarbonization goals.
Co-author/s:
Fatemeh Barati, Researcher, Kharazmi University.
This study investigates the design, modeling, and techno-economic performance of hybrid EV charging infrastructure specifically tailored for urban environments with variable renewable resource availability. A system configuration is proposed that combines PV generation, wind energy, and lithium-ion storage, coordinated by a smart control unit capable of real-time optimization. The model uses representative urban load profiles and meteorological datasets to assess key performance metrics such as energy autonomy, carbon emission reduction, and levelized cost of charging (LCOC).
In addition, sensitivity analyses are performed to evaluate system behavior under varying weather patterns, peak demand conditions, and pricing scenarios. Results indicate that hybrid systems provide greater energy reliability and economic efficiency compared to solar-only systems, particularly during extended low irradiance periods. Coupling with time-of-use pricing and demand response strategies further enhances integration with the distribution grid and improves return on investment.
The integration of advanced technologies such as vehicle-to-grid (V2G) interactions and green hydrogen buffering is also briefly examined. This research supports the design of robust, clean mobility infrastructure and offers actionable insights for city planners, energy policymakers, and infrastructure developers aiming to achieve national decarbonization goals.
Co-author/s:
Fatemeh Barati, Researcher, Kharazmi University.
