Institution
Azarbaijan Shahid Madani University
Education•Tabriz, Iran•
About: Azarbaijan Shahid Madani University is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Graphene & Nanocomposite. The organization has 1477 authors who have published 3186 publications receiving 30278 citations. The organization is also known as: Azarbaijan University.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the structural and dynamical properties of deep eutectic solvents (DESs)-based boron nitride nanotube (BNNT) nanofluid are investigated.
21 citations
TL;DR: In this paper, the existence results for the Sobolev-type Hilfer fractional integro-differential systems with infinite delay are presented. And the existence and controllability of the thought about the fractional system with the nonlocal condition is shown.
Abstract: The goal of this study is to propose the existence results for the Sobolev-type Hilfer fractional integro-differential systems with infinite delay. We intend to implement the outcomes and realities of fractional theory to obtain the main results by Monch’s fixed point technique. Moreover, we show the existence and controllability of the thought about the fractional system with the nonlocal condition. In addition, an application to illustrate the outcomes is also included.
20 citations
TL;DR: In this article, a nanocomposite for catalysis of methanol oxidation reaction was fabricated by carbon paste electrode modified with reduced graphene oxide supported bimetallic Ni-Co nanoparticles (NiCo/RGO/CPE).
20 citations
TL;DR: In this article, the effect of various parameters such as nanoparticle volume fraction, base fluid Reynolds number, baffle distance, height and order of arrangement have been studied for Al 2 O 3 /water nanofluid in two dimensional parallel plate microchannel without and with micromixers.
20 citations
01 Oct 2013
TL;DR: Improved perturb and observe (IP&O) MPPT algorithm and model predictive control (MPC) are developed to control the output current of a boost converter in order to extract maximum solar power from the panel.
Abstract: In this paper a new method of maximum power point tracking (MPPT) strategy based on Newton-Raphson algorithm is presented for photovoltaic (PV) power systems, which makes a high efficiency for PV power systems. In this approach variable step Newton-Raphson algorithm is applied to improve the dynamic response of PV array MPPT which is based on improved perturb and observe (IP&O) algorithm. Improved perturb and observe (IP&O) MPPT algorithm and model predictive control (MPC) are developed to control the output current of a boost converter in order to extract maximum solar power from the panel. MPPT tracker compels the system to operate at maximum power point through appropriate control of boost DC/DC converter. In the final stage a simple model predictive current control strategy is employed for two-level three-phase inverter to deliver power to a load. Descriptions of the proposed system along with detailed simulation results which verify its feasibility are given using MATLAB/Simulink software.
20 citations
Authors
Showing all 1501 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Sotiris K. Ntouyas | 41 | 366 | 7112 |
| Mohammad Hossein Pournaghi-Azar | 34 | 91 | 2997 |
| Shahram Rezapour | 32 | 158 | 3612 |
| Biuck Habibi | 27 | 85 | 2093 |
| Yaghoub Mansourpanah | 26 | 67 | 2813 |
| Akbar Heidarzadeh | 26 | 69 | 1777 |
| Hamid Ahmadi | 24 | 88 | 1194 |
| Mehrdad Mahkam | 24 | 82 | 1263 |
| Zolfaghar Rezvani | 24 | 72 | 1519 |
| Mahdie Safarpour | 23 | 39 | 2306 |
| Farhad Darabi | 23 | 168 | 1901 |
| M. Akbari-Moghanjoughi | 22 | 113 | 1413 |
| Shahin Ahmadian | 22 | 101 | 1705 |
| Vahid Karimipour | 22 | 126 | 1870 |
| Hossein Abdolmohammad-Zadeh | 22 | 63 | 1402 |