Samieh Najjaran
Om
Research topic:
Enabling zero-emission high-speed ferries along the coast of Norway.
My research is focused on the development of a model to calculate electric power and energy usage, incorporating an optimal energy management system for high-speed passenger vessels. This model, featuring a zero-emission electric power and propulsion system, is designed as a Python-based simulator aimed at reducing energy consumption and emissions while improving system efficiency by optimizing the operating conditions of each power source within the powertrain. The simulator will serve as an essential platform for study and performance analysis and will be integrated as a key component into the decision support tool developed for the ZEVS project.
Background:
- MSc in Control Engineering from the Department of Electrical & Computer Engineering, Babol Noshirvani University of Technology
- BSc in Control Engineering from the Department of Electrical & Computer Engineering, Semnan University
Research interests: Energy management system, Hybrid Electric Power systems, Machine learning
Supervisor: Roger Skjetne
Co-supervisors: Sverre Steen, Mehdi Zadeh
Kompetanseord
Publikasjoner
Najjaran, S., Rahmani, Z. and Hassanzadeh, M., 2022. Fuzzy predictive control strategy for plug-in hybrid electric vehicles over multiple driving cycles. International Journal of Dynamics and Control, 10(3), pp.930-941.
Najjaran, S., Rahmani, Z. and Hassanzadeh, M., 2017. Energy management in order to reduce fuel consumption for parallel Plug-in Hybrid Electric vehicles based on fuzzy predictive control.
2025
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Najjaran, Samieh;
Skjetne, Roger.
(2025)
Nested optimal energy scheduling and power allocation for zero-emission high-speed passenger vessels.
Ocean Engineering
Academic article
2024
-
Najjaran, Samieh;
Skjetne, Roger.
(2024)
Multi-Horizon Model Predictive Control for Energy Management in Zero-Emission High-Speed Passenger Vessels.
Journal of Physics: Conference Series (JPCS)
Academic article
2023
-
Najjaran, Samieh;
Skjetne, Roger;
Godø, John Martin Kleven.
(2023)
Optimal Energy Management for Zero-Emission High-Speed Passenger Vessels .
The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
2022
-
Fjelldal, Steinar;
Skjetne, Roger;
Godø, John Martin Kleven;
Najjaran, Samieh.
(2022)
Energy modelling and optimization for low- and zero-emission high speed passenger ferries.
NTNU
Masters thesis
Tidsskriftspublikasjoner
-
Najjaran, Samieh;
Skjetne, Roger.
(2025)
Nested optimal energy scheduling and power allocation for zero-emission high-speed passenger vessels.
Ocean Engineering
Academic article
-
Najjaran, Samieh;
Skjetne, Roger.
(2024)
Multi-Horizon Model Predictive Control for Energy Management in Zero-Emission High-Speed Passenger Vessels.
Journal of Physics: Conference Series (JPCS)
Academic article
Del av bok/rapport
-
Najjaran, Samieh;
Skjetne, Roger;
Godø, John Martin Kleven.
(2023)
Optimal Energy Management for Zero-Emission High-Speed Passenger Vessels .
The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Rapport
-
Fjelldal, Steinar;
Skjetne, Roger;
Godø, John Martin Kleven;
Najjaran, Samieh.
(2022)
Energy modelling and optimization for low- and zero-emission high speed passenger ferries.
NTNU
Masters thesis
Formidling
2024
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LectureNajjaran, Samieh. (2024) Optimizing energy scheduling and power load sharing. Institute of Transport Economics ZEVS final conference , Forskningsparken, Oslo 2024-11-28 - 2024-11-28
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LectureGodø, John Martin Kleven; Najjaran, Samieh. (2024) Optimal energiutnytting av nullutslippshurtigbåter: Hva er praktisk mulig og kan hydrofoilteknologi utgjøre en forskjell?. Transportøkonomisk institutt ZEVS sluttkonferanse , Forskningsparken 2024-11-28 - 2024-11-28
2023
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LectureNajjaran, Samieh. (2023) Recent progress in onboard energy management: Optimizing energy scheduling and power load sharing. Institute of Transport Economics ZEVS workshop , Zoom 2023-12-04 - 2023-12-04
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LectureNajjaran, Samieh. (2023) Recent developments in optimization for onboard power and energy loadsharing . Institute of Transport Economics ZEVS workshop , Zoom 2023-01-27 - 2023-01-27