Hybrid Model of Solar and Wind Energy for Powering Street Lights: Feasibility Study

Razan Hamed Alkalbani, Basheer Ahamed Gani
290 176

Abstract


Sultanate of Oman is targeting to implement renewable energy sources thirty percent of total energy sources within 2030. In line with the strategic plan, the hybrid model of solar and wind energy based highway lights is proposed on the Muscat highway. An attempt will be made to utilize the wind energy being generated through the movement of vehicles on the highway to change it to electrical energy to power the highway lights. Since the amount of electricity generated depends on the vehicle speed, wind direction, velocity and the placement of vertical axis wind turbines on the highway. In order to overcome the fluctuation of electricity generation, a hybrid model of solar and wind energy is proposed.to generate the maximum required electricity and provide continuous supply. As a first step in this research, the techno economic analysis has been carried out to evaluate the performance parameters such as energy production, capital expenditure, payback period and return of investment. As per the analytical model the payback period is approximately 3.2 years and the return of the investment of 221% are expected over the 10 year period The proposed next step in the research is to install hybrid model of PV solar cells and VAWTs on the median of the Muscat highways between As Seeb and Al Ruwi to see the potential to augment the electricity generation from the vehicle induced turbulence on the natural wind.


Keywords


Renewable energy, VAWT, Solar, Highway, Payback period

Full Text:

PDF

References


Alkalbani, R. H. & Gani, B. A. (2022). Hybrid Model of Solar and Wind Energy for Powering Street Lights: Feasibility Study. International Journal on Engineering, Science and Technology (IJonEST), 4(2), 150-156.




DOI: https://doi.org/10.46328/ijonest.88

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 International Journal on Engineering, Science and Technology

Abstracting/Indexing


 

 


International Journal on Engineering, Science and Technology (IJonEST)-ISSN: 2642-4088

 


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
 
 
.