ISSN (Print): 3079-4749 ISSN (Online): 3079-4749
AI Tech International Journal Official Publication of Octopus Publication, Hong Kong

Cite this article

Optimal Sizing of Solar-Wind-Battery Hybrid Systems for Rural Electrification

DOI: https://doi.org/10.64180/oct.techai.260104

BibTeX

@article{vol4issue1optimalsizingofsolarwindbatteryhybridsystemsforruralelectrification,
  title = {Optimal Sizing of Solar-Wind-Battery Hybrid   Systems for Rural Electrification},
  author = {Otieno, Amina},
  journal = {AI Tech International Journal},
  volume = {4},
  number = {1},
  pages = {26--32},
  doi = {https://doi.org/10.64180/oct.techai.260104},
  issn = {3079-4749}
}

RIS

TY  - JOUR
AU  - Otieno, Amina
TI  - Optimal Sizing of Solar-Wind-Battery Hybrid   Systems for Rural Electrification
JO  - AI Tech International Journal
VL  - 4
IS  - 1
SP  - 26
EP  - 32
DO  - https://doi.org/10.64180/oct.techai.260104
AB  - <p style="text-align:justify;">Rural electrification remains a significant challenge in remote and underserved regions due to limited access to conventional grid infrastructure, high transmission costs, and unreliable power supply. Solar–wind–battery hybrid renewable energy systems offer a sustainable and reliable alternative by combining complementary renewable resources with battery energy storage. This study focuses on the optimal sizing of a hybrid solar photovoltaic (PV), wind energy, and battery storage system for rural electrification. The proposed approach determines the appropriate capacities of PV panels, wind turbines, and battery storage to meet the electrical demand while minimizing the overall system cost and maintaining a reliable power supply.</p>
KW  - Solar Photovoltaic  (PV)
KW  - Wind Energy
KW  - Battery  Storage
KW  - Hybrid  Energy  System
KW  - Electrification. 
SN  - 3079-4749
UR  - https://techaijournal.com/article/vol-4-issue-1-optimal-sizing-of-solar-wind-battery-hybrid-systems-for-rural-electrification
ER  -