Optimization of a Hybrid Renewable Energy System with HOMER

Chowdhury, Olly Roy; Kim, Hong-Geun; Cho, Yongyun; Shin, Chang-Sun; Park, Jang-Woo

doi:10.1007/978-981-10-0281-6_14

Cited by 6 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hybrid systems have demonstrated economic advantages, as seen in a $5 million system in western Minnesota that connected solar power with a wind turbine inverter. Buildings like Guangzhou's Pearl River Tower employ wind turbines and solar panels for energy generation [4,5]. "Life Cycle Assessment (LCA) offers a thorough method for assessing the environmental effects of a product over its entire lifespan.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment and the Economic Sustainability of Renewable Energy Resources

2023

IJANSER

View full text Add to dashboard Cite

With over a billion people still lacking reliable access to electricity, the need for decentralized power generation solutions is crucial. This research explores the benefits of hybrid energy systems compared to standalone biogas, solar, and wind systems, especially in regions without centralized grids. Specifically, we examine the KPK Province Regions and model a hybrid power system that balances economic viability and technological feasibility, while considering the full Life Cycle Assessment (LCA) of wind, PV, and biogas. This designed system significantly boosts clean energy generation while minimizing harmful emissions' environmental impact. The Peshawar case study provides valuable insights into selecting a cost-effective hybrid system configuration. The study also includes a comprehensive cost analysis covering factors like capital investments, replacement costs, operational and maintenance expenses, fuel costs, and salvage value. Ultimately, this investigation results in a well-designed hybrid power system. Our findings reveal that the energy mix in this region includes Waziristan Wana (50% PV and 50% Wind Turbines), Abbottabad (61.6% PV and 37.6% wind), Bannu (33% PV and 66% wind), D.I. Khan (33% PV and 67% wind), Dirr (83% PV and 13% wind), Haripur (60% PV and 40% wind), Kohat (35% PV and 65% wind turbines), Lucky Marwat (37% PV and 62% wind turbines), Mardn (66% PV and 33.1% turbine power), Mansehra (60% PV and 40% wind turbines), Miranshah (28.1% PV and 71.1% wind turbines), Murre (60% PV and 60% wind turbines), Nowshera (60% PV and 39.1% wind turbines), Shawal (20% PV and 80% wind turbines), Swabi (65% PV and 35% wind turbines), and Zarmlna (25% PV and 75% wind turbines). This data highlights potential areas in Pakistan for future wind turbine and solar projects to meet electricity demands. Information on wind speed, Global Horizontal Irradiance (GHI), and temperature has been sourced from NASA. This study specifically focuses on addressing the electricity needs of Khyber Pakhtunkhwa (KPK) Province through solar and wind turbine installations.

show abstract

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment and the Economic Sustainability of Renewable Energy Resources

2023

IJANSER

View full text Add to dashboard Cite

show abstract

“…The optimization of a cost effective, reliable SERs for a remote beach locale in Bangladesh was proposed in [10] considering the selection of generating devices and the sizing of units . Olly roy Chowdary et al, [11] proposed an optimal structuring of a Hybrid framework (HF) with solar PV and wind turbine for a seaward zone close to Suncheon situvated at South Korea. Vikas Khare et al, in [12] examined the load pattern of Cop control zone at Sagar in India and demonstrated an optimization model using PSO and Chaotic PSO programming.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Hybrid Renewable Energy System Using Homer

2019

IJRTE

View full text Add to dashboard Cite

In this modern epoch Sustainable Energy Resources (SER) takes an upper hand in meeting the rise in power demand. Over the last few years, the increasing electrical power demand has prompted an incredible need for power from sustainable energy sources. The irradiation from solar, wind turbines are pondered as the main source of power generation since they supplement one another. For the general development of the economy, it is important that the agro-based economy would lead to the growth of the country. It is neither achievable nor affordable to dispatch power in the far away locales for a scarcely populated town. In this paper, the supplanting of energy sources with the sustainable power sources utilizing HOMER programming is performed. An independent sustainable power sources (ISPS) is used to meet the load and the cost is evaluated. The work is performed for real time data under different schemes like PV, wind and its combination. The optimization of operating cost under two scenario of using the ISPS (either PV or Wind) and using both PV & wind for real-time input taken from Sicud village in Philippines and Laboratory load data of SRMIST in India is performed. The comparison of the operating cost for the two region under two cases is executed and analyzed.

show abstract