Ahmad Shukri Fazil Rahman
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Preferred name
Ahmad Shukri Fazil Rahman
Official Name
Fazil Rahman, Ahmad Shukri
Alternative Name
Rahman, Ahmad Shukri Fazil
Rahman, Ahmad Shukribin Fazil
Main Affiliation
Scopus Author ID
8328081000
Researcher ID
CQM-4923-2022

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  • Publication
    Optimal sizing of a hybrid system through particle swarm optimization for rural areas in Iraq
    ( 2022-11-01)
    Al-Shammari Z.W.
    ;
    Algeboory A.H.
    ;
    Al-Jebory S.H.
    ;
    Taha I.A.
    ;
    Almukhtar H.
    ;
    Azizan M.M.
    ;
    Ahmad Shukri Fazil Rahman
    ;
    Hasikin K.
    In today's modern world, any community has the right to access basic electricity. With this in mind, efforts are being made to provide electric power to even the most remote locations. Solar and wind energy are examples of renewable energy sources that are both clean and versatile. For a distant rural school in south-eastern Iraq, this research presents particle swarm optimization (PSO) to reduce the cost of energy (COE) according to the maximum dependability of a hybrid renewable energy system (HRES) by utilizing an integrated electrical generation system. The suggested hybrid system consists of photovoltaics (PV), wind turbines (WT), and batteries (BT), all of which are subject to a specific investment restriction. Results showed that the optimal sizing of the number of photovoltaics (NPV) is equal to (9), the number of wind turbines (NWT) equal to (6), the number of batteries (NBT) of (29), the cost of energy (COE) (0.536 US$/kwh), loss of power supply probability (LPSP) (0.091%), reliability (REL) (99.909%) and renewable factors (RF) (100%) with (59%) PV penetration, and (41%) WT penetration. As a result, the use of the hybrid system is justified from a technological, economic, and humanitarian standpoint.
      1
  • Publication
    Techno-Economic Feasibility to Generate Electricity by Using PSO Technique for the Urban City in Iraq: Case Study
    ( 2020-01-01)
    AL-Shammari Z.W.J.
    ;
    Azizan M.M.
    ;
    Ahmad Shukri Fazil Rahman
    For developing nations such as Iraq, electricity access in rural areas, especially those which are remote, is limited. Thus, the present study explores the electrical needs of the city of Zerbattiya, Iraq. The proposed system's components include solar panels, wind turbines, diesel generators, and batteries. This research proposes a techno-economically feasible and optimal sizing for each component to generate electricity for the city. Particle swarm optimization (PSO) algorithm was used in this research by using MATLAB. The ideal setting of a hybrid renewable energy system (HRES) is achieved by considering the lowest possible cost of energy (COE) with the highest reliability (REL) and possible value of renewable energy penetration (REP). Results showed that the respective optimal values for NPV (30), NWT (30), NDG (3), NBT (281), cost of energy (COE) was (0.142 US$/KWh), loss of power supply probability (LPSP) was (0.0534 %), reliability (REL) was (99.9466 %) and renewable energy penetration (REP) was (56.35 %). The findings further demonstrate that the algorithm was able to achieve optimal solutions to reduce overall cost, quickly and accurately. In conclusion, implementation of HRES was found to be an apt method of meeting electrical needs of remote rural areas in Iraq, and other developing nations with similar climates.
      1