Postdoctoral at Aalborg University | Denmark
Dr. Mojtaba Alirahmi is a distinguished researcher and process engineer recognized among the leading scientists in sustainable energy systems. His expertise spans operational research, energy system modeling, bioenergy, electrolysis, CCUS, and Power-to-X technologies, with a strong focus on practical solutions for decarbonization. He has contributed significantly to plant-wide process modeling, dynamic simulation, multivariable control, and techno-economic analysis of green fuel production, including hydrogen, methane, and ammonia. As a globally acknowledged scholar, he has established a reputation for excellence in mathematical optimization and interdisciplinary collaboration. His work bridges theory and application, demonstrating how advanced simulation, optimization, and system integration can drive innovation in renewable energy and carbon management. With an impressive publication record, active participation in international research projects, and mentorship of students, Dr. Alirahmi continues to influence both academia and industry. His career reflects a balance of scientific discovery, applied engineering, and dedication to building a sustainable energy future.
Professional Profiles
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Education
Dr. Mojtaba Alirahmi pursued his Ph.D. in Chemical Engineering at Aalborg University, where his research focused on renewable energy integration, carbon capture, utilization and storage, and Power-to-X pathways. His doctoral studies involved developing advanced models for system optimization, thermal management, and sustainable fuel production, contributing new methods to energy efficiency research. His academic journey began with a Master’s degree in Mechanical Engineering, where he specialized in solar energy applications, multi-generation systems, and exergo-economic assessments. This strong foundation enabled him to apply both mechanical and chemical engineering principles to renewable energy challenges. Throughout his academic training, he engaged in advanced computational modeling, multi-objective optimization, and comparative analyses of energy systems. His education has been marked by innovation, a drive for solving global energy issues, and a continuous pursuit of excellence. The combination of theoretical knowledge and applied research has equipped him with the skills and insights to address pressing challenges in sustainable energy systems.
Experience
Dr. Mojtaba Alirahmi has accumulated diverse research and professional experience through roles at globally recognized institutions. As a postdoctoral researcher, he worked on projects focused on carbon capture and transportation in biomass CHP plants, combining academic research with industrial applications. His international research internships at institutions such as MIT, the University of Pau, and the Technical University of Denmark allowed him to collaborate on projects in oxy-combustion, waste heat recovery, and offshore infrastructure repurposing. Earlier roles as a research assistant involved optimizing energy systems, developing sustainable fuel technologies, and advancing renewable integration strategies. Beyond academia, he has actively contributed to industry-related projects, providing practical insights into process optimization and techno-economic analysis. His professional journey reflects a consistent focus on interdisciplinary problem-solving, global collaboration, and the application of cutting-edge modeling tools. These experiences have shaped him into a researcher who not only advances scientific understanding but also delivers impactful solutions to energy challenges.
Research Interest
Dr. Mojtaba Alirahmi’s research interests lie at the intersection of renewable energy, optimization, and sustainable systems. His work explores energy storage technologies such as compressed air, hydrogen, and thermal storage, alongside Power-to-X pathways, including power-to-gas, power-to-liquid, and power-to-chemicals systems. He is deeply engaged in advancing renewable sources like wind, solar, biomass, and fuel cells, integrating them into efficient energy frameworks. His studies in thermodynamics and multi-objective optimization focus on improving energy, exergy, and economic performance, while also addressing environmental sustainability. He has shown strong interest in refrigeration and desalination cycles, including heat pumps, absorption chillers, reverse osmosis, and multi-effect distillation, linking them with broader energy strategies. Additionally, he is keen on techno-economic analysis, uncertainty management, and machine learning applications for energy systems. His research is driven by the vision of accelerating the transition toward clean and efficient energy solutions, positioning him at the forefront of global efforts in sustainable technology development.
Awards and Honors
Dr. Mojtaba Alirahmi has received multiple recognitions for his outstanding contributions to renewable energy research and process engineering. He has been acknowledged among the top global researchers in sustainable energy and mathematical optimization, underscoring his academic impact and leadership. His publications include several highly cited papers, with some ranked among the most influential works in the field of hydrogen and electrolyzers. His achievements also include conference best paper awards, travel grants for international scientific events, and recognition for the excellence of his master’s thesis. In addition to personal accolades, he has contributed as a reviewer for numerous international journals, further reflecting his influence on the scientific community. His consistent recognition demonstrates not only his academic productivity but also his innovation, collaboration, and impact on both research and practice. These honors highlight his role as a forward-thinking researcher whose contributions are shaping the advancement of clean energy systems worldwide.
Research Skills
Dr. Mojtaba Alirahmi possesses advanced research skills that span modeling, simulation, optimization, and experimental analysis. He is highly proficient in MATLAB, machine learning techniques, and multi-objective optimization algorithms such as NSGA-II, MOPSO, and MOGWO, which he applies to complex energy systems. His technical expertise extends to simulation platforms including Aspen HYSYS, TRNSYS, ANSYS, and COMSOL, allowing him to model and analyze a wide range of renewable and conventional processes. He has strong capabilities in thermo-economic assessment, dynamic process control, and uncertainty management, making his research both comprehensive and practical. Additionally, his proficiency with CAD software and scientific visualization tools supports his ability to design, simulate, and communicate results effectively. Beyond technical expertise, he demonstrates strong collaboration, leadership, and mentoring skills, contributing to both academic and industry projects. His ability to integrate theory with practice makes him a versatile researcher capable of advancing innovations in sustainable energy technologies.
Publication Top Notes
Title: Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy
Authors: SM Alirahmi, SR Dabbagh, P Ahmadi, S Wongwises
Year: 2020
Citations: 315
Title: Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems
Authors: SM Alirahmi, AR Razmi, A Arabkoohsar
Year: 2021
Citations: 275
Title: A comprehensive techno-economic analysis and multi-criteria optimization of a compressed air energy storage (CAES) hybridized with solar and desalination units
Authors: SM Alirahmi, SB Mousavi, AR Razmi, P Ahmadi
Year: 2021
Citations: 272
Title: A green hydrogen energy storage concept based on parabolic trough collector and proton exchange membrane electrolyzer/fuel cell: thermodynamic and exergoeconomic analyses
Authors: AR Razmi, SM Alirahmi, MH Nabat, E Assareh, M Shahbakhti
Year: 2022
Citations: 199
Title: Multi-criteria design optimization and thermodynamic analysis of a novel multi-generation energy system for hydrogen, cooling, heating, power, and freshwater
Authors: SM Alirahmi, M Rostami, AH Farajollahi
Year: 2020
Citations: 165
Title: Green hydrogen & electricity production via geothermal-driven multi-generation system: Thermodynamic modeling and optimization
Authors: SM Alirahmi, E Assareh, NN Pourghassab, M Delpisheh, L Barelli, …
Year: 2022
Citations: 154
Title: Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network
Authors: F Musharavati, A Khoshnevisan, SM Alirahmi, P Ahmadi, …
Year: 2022
Citations: 152
Title: A Sustainable model for the integration of solar and geothermal energy boosted with thermoelectric generators (TEGs) for electricity, cooling and desalination purpose
Authors: E Assareh, SM Alirahmi, P Ahmadi
Year: 2021
Citations: 145
Title: Energy, exergy, and exergoeconomics (3E) analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation-Case study …
Authors: SM Alirahmi, E Assareh
Year: 2020
Citations: 131
Title: Soft computing analysis of a compressed air energy storage and SOFC system via different artificial neural network architecture and tri-objective grey wolf optimization
Authors: SM Alirahmi, SF Mousavi, P Ahmadi, A Arabkoohsar
Year: 2021
Citations: 105
Conclusion
In conclusion, Dr. Mojtaba Alirahmi is a deserving candidate for the Best Researcher Award due to his groundbreaking contributions in renewable energy systems, optimization methods, and Power-to-X technologies. His strong publication record, global collaborations, and leadership in advancing sustainable solutions demonstrate his impact on both academic and industrial domains. With his dedication to innovation, mentorship, and cross-disciplinary research, he is well-positioned to drive future advancements in clean energy and inspire the next generation of researchers.