Abstract
Supplying electricity to rural areas can improve the socio-economic status of remote communities. Today, renewable energy technologies are the most focused research areas as they can play an important role in improving the quality of life by meeting the electricity demand. Indigenous renewable energy resources (RES) in these remote areas can be used to form a hybrid system that meets the electrical requirements of the community. This research explores a variety of hybrid and renewable energy systems (HRES) based on solar and wind resources to meet diverse community needs. The remote area of Pindiali (Latitude: 34 degrees 27.29 minutes North, Longitude 71 degrees 27.22 minutes East) in the Mohmand District of Pakistan is considered a study area. The system is designed and analyzed with anticipated load requirements and existing energy resources using HOMER software. The proposed system has a very low cost of energy (i.e., 0.166/kWh). The suggested solar wind hybrid system (SWHS) can be easily adapted to other areas of the globe with alike climates.
Original language | English |
---|---|
Title of host publication | 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728138251 |
DOIs | |
State | Published - Jul 2019 |
Externally published | Yes |
Event | 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 - Swat, Pakistan Duration: 24 Jul 2019 → 25 Jul 2019 |
Publication series
Name | 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 |
---|
Conference
Conference | 1st International Conference on Electrical, Communication and Computer Engineering, ICECCE 2019 |
---|---|
Country/Territory | Pakistan |
City | Swat |
Period | 24/07/19 → 25/07/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- HOMER
- Hybrid energy system (HES)
- Optimization
- Renewable Energy
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Control and Optimization