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Showing 3 results for Rahimi

Asghar Lashanizadegan, Mahmoodreza Rahimi, Hadie Mazlumi,
Volume 1, Issue 1 (9-2017)
Abstract

Furnaces in refinery and petrochemical processes are major consumers of energy. The most important factors for the controlling the energy consumption of the furnace can be divided into three main groups The first group includes the potential savings without cost or low cost, such as adjusting air – fuel ratio in the burner and pressure control into the furnace, The second group includes the potential savings with medium cost such as insulating body, and the third group includes the potential savings with high investment such as heat recovery from the exhaust flue. In this paper, the thermal energy savings potential on the 4 fixed- furnaces in the Loabiran companies are investigated and calculated that savings potential of adjusting air – fuel ratio in the burner is 165,973,500 Rials in the year, controlling pressure inside the furnace 95,822,300 Rials in the year, body insulation 622,167,700 Rials and recycled flue gases 929,762,400 Rials in the year. Also Loabiran companies uses regenerator that is a periodic heat recovery system to preheat the incoming air. This will result in annual savings for the daily production of 20 tons of frit, are 3,577,000,000 Rials.
Afsaneh EbRahimi, Sayyed Obaid Poordanesh,
Volume 1, Issue 1 (9-2017)
Abstract

The reduction of energy consumption on sensor nodes using cognitive radio network routing algorithm to help Dayjkstra, Can help a lot in increasing the life of nodes and improve the whole problem of the exchange of information without slowing down. Holes containing channel energy threshold is detected and checked by applying a range of secondary users assigned. From the simulation results of cognitive radio-based network routing algorithm can be seen Dayjkstra sensor nodes send data from the source node to the final node of their shortest and best route. Energy consumption by as much as 80 percent less sensor nodes with Dayjkstra algorithm of algorithms such as LEACH, DASC, EEUC that this factor is an increase in the lifetime of nodes in the network.
Mahmood Reza Rahimi, ،javad Safaei, Masoud Nikbakht,
Volume 2, Issue 1 (2-2017)
Abstract

In this paper, coal combustion process in a bubbling fluidized bed furnace were investigated experimentally. Analysis of experimental data shows that the coal size particles inlet to bed and rate of air injected into the furnace, are determinant parameter in bed temperature and proper combustion in the fluidized bed furnace. The highest temperature of 1050°C was obtained with air flow rate of 12 for the combustion of coal mixture with 75 wt% particles in group 2 and 25 wt% in group 3.



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