Amirkabir University of Technology

About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Finite element method. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.

An overview of renewable energies in Iran

Abstract: Iran as a major oil producing country has increasingly paid attention to the non-fossil energy resources, in particular to renewable energy sources for its longer term energy plans. In this regard, 11 projects pertaining to solar energy are being utilized or carried out by Iran׳s Ministry of Energy. The total photovoltaic power installed in 2004 was 14,020 MW. This rate reached 67 MW by the end of 2010. Further, two geothermal projects are being constructed in Ardabil Province at present. By the end of 2010, the Meshkinshahr geothermal power plant project revealed a progress rate equal to 50%. Similarly, the package construction project in Ardabil revealed a 32% progress. Due to financial hardship in the Fourth Development Program, the completion of these projects was extended to the end of the Fifth Development Program. The nameplate power of biogas power plants in Iran is 1.860 MW the total installed capacity is 1.665 MW. According to Strategy Document of Fuel Cell Technology Development (Approved by the government in 2004), Iran has revealed good progress in fuel cell projects. Private sectors have already signed contracts to build more than 600 MW of biomass systems and 500 MW of new wind energy developments. The nominal power of the wind parks that can be erected in the available sites with remarkable wind potential in Iran is approximately 6500 MW, employing wind turbines of 60,000 MW nominal power. The estimated mean annual capacity factor of these wind parks is 33%.

Application of Heterogeneous Nano-Semiconductors for Photocatalytic Advanced Oxidation of Organic Compounds: A Review

Abstract: Advanced oxidation processes (AOPs) introduce a hopeful technology for the removal of water polluted with hard degradable organic compounds. Today, one of the main effective AOP technologies to degrade these hazardous organics is via the photocatalytic process. The present review focuses on the recent progress in the fixed-bed and immobilized nanophotocatalysts and also their applications for resolving the environmental concerns. Various organics elimination using a variety of photocatalysts and innovative reactors are discussed. This critical review summarizes the recent progress in the synthesis and modification (physical and chemical) of semiconductors. Furthermore, different ways of photocatalysts immobilization are explained in details. By considering different dangerous chemicals present in wastewater and different industries, catalytic methods used by researchers to degrade these organic compounds are reviewed. In addition, the degradation pathway of some organics through the catalytic operation is described.

Alginate Based Scaffolds for Cartilage Tissue Engineering: A Review

Abstract: Many people, especially old and middle-aged, suffer from pain and disabilities caused by cartilage degradation. There are many surgical methods for cartilage treatment, however, none of the...

A Framework for Optimal Planning in Large Distribution Networks

Abstract: Large scale distribution system planning is a relatively complex and reasonably difficult problem. This paper proposes the application of improved genetic algorithm (GA) for the optimal design of large scale distribution systems in order to provide optimal sizing and locating of the high and medium voltage (HV and MV) substations, as well as medium voltage (MV) feeders routing, using their corresponding fixed and variable costs associated with operational and optimization constraints. The novel approach presented in the paper solves hard satisfactory optimization problems with different constraints in large scale distribution networks. This paper presents a new concept based on loss characteristic matrix introduced for optimal locating of MV substations, followed by new methodology based on graph theory and GA for optimal locating of the HV substations and MV feeders routing in a real size distribution network. Minimum spanning tree algorithm is employed to generate set of feasible initial population. In the present article to reduce computational burden and avoid huge search space leading to infeasible solutions, special coding methods are generated for GA operators to solve optimal feeders routing. The proposed coding methods guarantee the validity of the solution during the progress of the genetic algorithm toward the global optimal solution. The developed GA-based software is tested in a real size large scale distribution system and the well satisfactory results are presented.