Farshid Sardari
University of Mohaghegh Ardabili
9 Papers
Farshid Sardari is an academic researcher from University of Mohaghegh Ardabili. The author has contributed to research in topics: Exergy & Exergy efficiency. The author has an hindex of 3, co-authored 3 publications.
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Papers
Energy, exergy, and exergoeconomic analysis of a polygeneration system driven by solar energy with a thermal energy storage tank for power, heating, and freshwater production
TL;DR: In this article, a trigeneration system based on parabolic trough solar collectors and thermal energy storage tank is devised for simultaneous power, heating, and freshwater production, and a parametric analysis was applied to evaluate the effects of some basic thermodynamic parameters cycle performance.
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Parameters identification of photovoltaic cells using improved version of the chaotic grey wolf optimizer
TL;DR: A new enhanced optimization method is proposed to estimate the unknown parameters of photovoltaic modules by combining the adaptive grey wolf optimization (AGWO) and chaotic greywolf optimization (CGWO) algorithms and the results confirm accuracy, robustness, and high convergence speed in comparison with some well-known optimization methods.
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Multi-aspect evaluation of a novel double-flash geothermally-powered integrated multigeneration system for generating power, cooling, and liquefied Hydrogen
Ma Dan,Ang He,Qiliang Ren,Wenbo Li,Kang Huang,Xiangda Wang,Boxuan Feng,Farshid Sardari +7 more
TL;DR: A novel double-flash geothermal multigeneration system is evaluated for power, cooling, and liquefied hydrogen production, achieving 10.48 MW power, 2.27 MW cooling, and 37.83 kg/h hydrogen with 55.89% exergetic efficiency and 3.27-year payback period.
16
Process arrangement and multi-criteria study/optimization of a novel hybrid solar-geothermal scheme combined with a compressed air energy storage: Application of different MOPSO-based scenarios
Pei Yin,Farshid Sardari +1 more
TL;DR: This study optimizes a novel hybrid solar-geothermal system with compressed air energy storage using MOPSO-based scenarios, achieving 20.43% energetic and 67.63% exergetic efficiencies, and a 3.07-year payback period with optimal energy and exergy efficiency objectives.
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