M. M. Rhaman

Work place: Department of Electrical and Electronic Engineering, Ahsanullah University of Science & Technology, Tejgaon, Dhaka-1208

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Research Interests: Control Theory, Computer systems and computational processes, Computational Science and Engineering

Biography

Mr. M. M. Rhaman is an Assistant Professor in the department of Electrical and Electronic Engineering (EEE) at Ahsanullah University of Science and Technology (AUST), Dhaka from October 2005.He has completed his BSc in EEE from AUST in 2004. He has completed his M.Engg in EEE from Bangladesh University of Engineering and Technology (BUET) in 2010 and study Ph.D. at BUET. Right now he teaches the courses on Electronic, Biomedical Engineering, Measurement and Instrumentation, Basic Electrical Circuits and Control System. He has several publications in Biomedical Engineering and Renewable Energy

Author Articles
Hybrid Solar Power Plant in Saint Martin's Island can Enlarge Tourist Attraction in Bangladesh

By Saikat Roy M. M. Rhaman

DOI: https://doi.org/10.5815/ijem.2016.03.02, Pub. Date: 8 May 2016

Saint Martin's Island is the best tourist spot in Bangladesh and one of the most beautiful tourist places in the world. But the accommodation facilities are not suitable for tourists. The supply of electricity in the hotels is only 4-5 hours from the generator. For the geographical position, the electricity cannot supply from the mainland grid and the cost of electricity is so high and is not favourable to the environment. In this paper, Hybrid system of photovoltaic (PV), diesel generator, battery for generating electricity in the Saint Martin's Island is analyzed for 18 hotels. The main objective of the present study is to determine the optimum size of Hybrid system which can fulfil the requirements of 528 kWh/day primary load with 125 kW peak for 18 hotels in this island. By using HOMER (Hybrid Optimization Model for Electric Renewables) software an optimum model is established for the renewable system. The aim is to configure a renewable system with low interest and low energy cost. The diagrams and tables which show prices and performances of the types of equipment on the optimum model are also presented. The result shows that PV (185 kW), diesel generator (105 kW), converter (96 kW) and 615 piece batteries of the Hybrid system is most commercially reliable and least cost of energy is about 19.48Tk per kWh or $ 0.253 per kWh ($1=77Tk) with total net present cost $ 624,391 or 48,078,107TK. The emission of CO2 is very low in this Hybrid system. 

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