Optimized hybrid renewable energy system for efficient industrial electrification

• Published in: 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT) pp. 1 - 5
• Main Authors: Siddiquee, S.M. Shahnewaz, Alam, Md. Shahedul, Islam, Md. Khurshedul, Reza, Mortuza Hasan, Al Arafat, Mohsin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: carbon emission; Fuels; Generators; Green products; Hybrid energy system; industrial electrification; Optimization; Reliability; Renewable energy sources; solar PV
• DOI: 10.1109/ICEEICT.2015.7307394

Energy has always been a major necessity for the day-to-day human life. Unavailability of electricity is one of the major obstacle for economic development of Bangladesh. With the fluctuating grid power distribution system within the country most of the industries are not capable to utilize the national grid power for 24 hour production but rather have generating sets that fully run on diesel throughout the weeks, months and years whenever grid power fails. This research work is an in-depth scenario and analysis of the PV based hybrid energy system in Chittagong (22.36° north, longitude 91.59°east), the industrial capital of Bangladesh. In this research a solar PV system is designed in co-production with existing diesel generators and grid system for electrification of industries. The system is designed in such a way that only power from PV will be available during day time and grid power will be utilized at night time which can help to reduce the grid demand by industries. Diesel generators will compensate the system power demand if there exist any shortage of power by either solar PV or grid. Hybrid Optimization Model for Electric Renewable (HOMER) is used to calculate the optimal system size. All the conditions and constraints of the solar PV integrated system are analyzed in this paper and proposes an optimal combination of energy components for compensating regular grid failure in industrial area with minimizing carbon emission and life cycle cost. The final optimization result from HOMER shows that the cost of energy (COE) is 0.139 and carbon emission by the system is significantly low.