S
Seyed Mojtaba Alirahmi
Researcher at Islamic Azad University
Publications - 22
Citations - 1182
Seyed Mojtaba Alirahmi is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Exergy & Exergy efficiency. The author has an hindex of 6, co-authored 12 publications receiving 246 citations. Previous affiliations of Seyed Mojtaba Alirahmi include University of Tehran.
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Multi-objective design optimization of a multi-generation energy system based on geothermal and solar energy
Seyed Mojtaba Alirahmi,Sajjad Rahmani Dabbagh,Pouria Ahmadi,Somchai Wongwises,Somchai Wongwises +4 more
TL;DR: In this article, a multi-generation system based on geothermal energy and parabolic trough solar collectors is proposed for the simultaneous generation of power, cooling, freshwater, hydrogen, and heat.
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A comprehensive techno-economic analysis and multi-criteria optimization of a compressed air energy storage (CAES) hybridized with solar and desalination units
TL;DR: In this paper, a dual-purpose green energy storage system with the aim of power and potable water production is proposed and investigated from the thermodynamic and economic points of view, which is based on an innovative combination of compressed air energy storage with solar heliostat and multi-effect thermal vapor compression desalination units that provides power and clean water without any emissions.
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Comprehensive assessment and multi-objective optimization of a green concept based on a combination of hydrogen and compressed air energy storage (CAES) systems
TL;DR: In this paper, a hybrid energy production/storage system comprising a compressed air energy storage, a heliostat-driven Brayton cycle, and a hydrogen production unit is proposed and thoroughly investigated.
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A Sustainable model for the integration of solar and geothermal energy boosted with thermoelectric generators (TEGs) for electricity, cooling and desalination purpose
TL;DR: In this paper, an integrated energy system for the production of cooling, hot water, and electricity along with desalinated water is proposed, simulated, assessed, and optimized, and the system's performance is evaluated in terms of energy, exergy, and exergoeconomic.
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Multi-objective optimization of a biomass gasification to generate electricity and desalinated water using Grey Wolf Optimizer and artificial neural network.
Farayi Musharavati,Alireza Khoshnevisan,Seyed Mojtaba Alirahmi,Pouria Ahmadi,Shoaib Khanmohammadi +4 more
TL;DR: In this article, an innovative biomass-based energy system is proposed for power and desalinated water production, which consists of a gasifier, a compressor, a heat exchanger, a gas turbine, a combustion chamber, and a Multi-effect desalination with thermal vapor compression (MED-TVC) unit.