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Techno-Economic Assessment of a Grid-Independent Hybrid Power Plant for Co-Supplying a Remote Micro-Community with Electricity and Hydrogen

Tian XiaHubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan 430068, ChinaMostafa RezaeiQueensland Micro- and Nanotechnology Centre, Griffith University, Nathan 4111, AustraliaUdaya DampageFaculty of Engineering, Kotelawla Defence University, Kandawala Estate, Ratmalana 10390, Sri LankaSulaiman Ali AlharbiDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi ArabiaOmaima NasifDepartment of Physiology, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, P.O. Box-2925, Riyadh 11461, Saudi ArabiaPiotr F. BorowskiInstitute of Mechanical Engineering, Warsaw University of Life Sciences, 02-787 Warsaw, PolandMohamed A. MohamedElectrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt

2021en

ABI

Annotatsiya

This study investigates the techno-economic feasibility of an off-grid integrated solar/wind/hydrokinetic plant to co-generate electricity and hydrogen for a remote micro-community. In addition to the techno-economic viability assessment of the proposed system via HOMER (hybrid optimization of multiple energy resources), a sensitivity analysis is conducted to ascertain the impact of ±10% fluctuations in wind speed, solar radiation, temperature, and water velocity on annual electric production, unmet electricity load, LCOE (levelized cost of electricity), and NPC (net present cost). For this, a far-off village with 15 households is selected as the case study. The results reveal that the NPC, LCOE, and LCOH (levelized cost of hydrogen) of the system are equal to $333,074, 0.1155 $/kWh, and 4.59 $/kg, respectively. Technical analysis indicates that the PV system with the rated capacity of 40 kW accounts for 43.7% of total electricity generation. This portion for the wind turbine and the hydrokinetic turbine with nominal capacities of 10 kW and 20 kW equates to 23.6% and 32.6%, respectively. Finally, the results of sensitivity assessment show that among the four variables only a +10% fluctuation in water velocity causes a 20% decline in NPC and LCOE.

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Identifikatorlar

DOI: 10.3390/pr9081375

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