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Abdol Ghaffar Ebadi

Researcher at Islamic Azad University

Publications -  169
Citations -  2081

Abdol Ghaffar Ebadi is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Chemistry & Density functional theory. The author has an hindex of 19, co-authored 139 publications receiving 1385 citations. Previous affiliations of Abdol Ghaffar Ebadi include Mazandaran University of Medical Sciences & Tajik Academy of Sciences.

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Optimal bidding and offering strategies of compressed air energy storage: A hybrid robust-stochastic approach

TL;DR: A new mathematical model as a hybrid robust-stochastic method is proposed in order to maximize the expected profit of a compressed air energy system and formulates mixed-integer linear programming and obtains optimal offering and bidding curves.
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Risk-based stochastic scheduling of energy hub system in the presence of heating network and thermal energy management

TL;DR: The downside risk constraints (DRC) are proposed to minimize the risk associated with uncertainties in order to obtain the risk-based scheduling of energy hub via scenario-based stochastic programming and the effect of the DRP on the problem is investigated and the results show that the expected cost and RIC are decreased.
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Risk-Constrained Stochastic Optimization of a Concentrating Solar Power Plant

TL;DR: The scenario-based stochastic framework is proposed for optimal scheduling of a CSP plant in the presence of uncertainties to obtain optimal offering curves in order to sell to power market.
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Syngas production by catalytic co-gasification of coal-biomass blends in a circulating fluidized bed gasifier

TL;DR: In this article, a project is carried out to develop a catalytic process for tar conversion and syngas production through gasification of biomass-coal blends in a dual circulating fluidized bed.
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Designing framework of hybrid photovoltaic-biowaste energy system with hydrogen storage considering economic and technical indices using whale optimization algorithm

TL;DR: The proposed method for designing the hybrid system provides better performance than the PSO in achieving less TNPC and better reliability with higher convergence speed and accuracy.