Assistant Professor | KTH Royal Institute of Technology | Sweden
Farzin Golzar is an accomplished researcher and Assistant Professor specializing in Energy Systems Engineering and Renewable Energy Technology, with a professional focus on integrating advanced modeling techniques to address complex sustainability challenges. His research centers on the application of artificial intelligence for modeling and optimizing energy systems, hybridizing data-driven statistical models with process-driven physical frameworks, and advancing comparative life-cycle impact assessment to enhance environmental decision-making. He also explores energy conversion and storage solutions aimed at accelerating global energy transitions. Dr. Golzar’s professional journey includes his current role at the Heat and Power Technology Division of KTH Royal Institute of Technology, building on previous contributions as a climate strategy consultant supporting national and international stakeholders across sectors such as buildings, transport, and agriculture, as well as prior academic roles including his postdoctoral position at KTH and leadership responsibilities within Sharif University of Technology and the Sharif Energy Research Institute. His research contributions span innovative system-to-cell multiphysics modeling, optimization of hybrid solar-battery systems, AI-based CO₂ emission prediction models, and integrated assessment methods for greenhouse and wastewater systems, along with a series of influential publications on lithium-ion battery degradation, renewable energy system optimization, and climate-positive fuel cell applications. His work has supported major funded projects on sustainable water–energy systems, circular urban economies, urban wastewater treatment supported by AI-based tools, and decarbonization pathways for transportation, demonstrating his ability to bridge scientific innovation with applied solutions. Through collaborations with institutions such as ETH Zurich, international research groups, and environmental agencies, he has contributed to policy-relevant insights for energy system planning and climate mitigation. With a vision grounded in scientific rigor and societal relevance, Dr. Golzar strives to advance sustainable energy transitions by developing data-driven, scalable, and environmentally conscious solutions that support global climate objectives. His work ultimately aims to empower industry, policymakers, and communities with tools and methodologies that improve resource efficiency, reduce environmental impacts, and promote resilient, low-carbon energy futures.
Featured Publications
1. Smajila, L., Trevisan, S., Golzar, F., Vaidya, K., & Guedez, R. (2025). Comparative analysis of technoeconomic and techno-environmental approach to optimal sizing and dispatch of hybrid solar–battery systems. Energy Conversion and Management X, 25, 100858. https://doi.org/10.1016/j.ecmx.2024.100858
2. Heidary, B., Kiani, M. A., & Golzar, F. (2025). Toward sustainable development: Energy transition scenarios for oil-dependent countries, with Iran as a case study. Energies, 18(10). https://doi.org/10.3390/en18102651
3. Talaei, M., Astaneh, M., Farahani, E. G., & Golzar, F. (2023). Application of artificial intelligence for predicting CO₂ emission using weighted multi-task learning. Energies, 16(16), 5956. https://doi.org/10.3390/en16165956
4. Golzar, F., & Silveira, S. (2021). Impact of wastewater heat recovery in buildings on the performance of centralized energy recovery: A case study of Stockholm. Applied Energy, 297, 117141. https://doi.org/10.1016/j.apenergy.2021.117141
5. Nilsson, D., Karpouzoglou, T., Wallin, J., Blomkvist, P., Golzar, F., & Martin, V. (2023). Is on-property heat and greywater recovery a sustainable option? A quantitative and qualitative assessment up to 2050. Energy Policy, 182, 113727. https://doi.org/10.1016/j.enpol.2023.113727
