Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO

Sigit Sulistyono; Feby Agung Pamuji; Heri Suryoatmojo

doi:10.1109/AIMS66189.2025.11229514

Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO

Sigit Sulistyono^*
, Feby Agung Pamuji
, Heri Suryoatmojo

^*Corresponding author for this work

Department of Electrical Engineering
Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The need for power in Southeast Sulawesi is increasing day by day so that the utilization of renewable energy with low carbon emissions is increasing. This study aiming to presents feasibility study of increasing the use of renewable energy source in Southeast Sulawesi Grid by using optimizing software HOMER Pro. The software HOMER Pro is used as a tool to determine the most feasible combination of component considered in this study. The PV System and Wind Turbine can achieve above 90% renewable penetration, making them ideal for power plant development. The Grid- PV-BESS-Load simulation shows the highest potential, supplying 74,418,472 kWh/year with 99.5% system dominance. However, the economic evaluation of Battery Energy Storage Systems (BESS) in this area is still a major factor, and further research is needed to assess their potential in the future.

Original language	English
Title of host publication	2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331578053
DOIs	https://doi.org/10.1109/AIMS66189.2025.11229514
Publication status	Published - 2025
Event	3rd IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025 - Sumedang, Indonesia Duration: 24 May 2025 → 25 May 2025

Publication series

Name	2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025

Conference

Conference	3rd IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025
Country/Territory	Indonesia
City	Sumedang
Period	24/05/25 → 25/05/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

BESS
Homer
PV
economic
renewable

Access to Document

10.1109/AIMS66189.2025.11229514

Cite this

Sulistyono, S., Pamuji, F. A., & Suryoatmojo, H. (2025). Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO. In 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025 (2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIMS66189.2025.11229514

Sulistyono, Sigit ; Pamuji, Feby Agung ; Suryoatmojo, Heri. / Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO. 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025).

@inproceedings{14d19323f0904027a4d6bbbaec072085,

title = "Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO",

abstract = "The need for power in Southeast Sulawesi is increasing day by day so that the utilization of renewable energy with low carbon emissions is increasing. This study aiming to presents feasibility study of increasing the use of renewable energy source in Southeast Sulawesi Grid by using optimizing software HOMER Pro. The software HOMER Pro is used as a tool to determine the most feasible combination of component considered in this study. The PV System and Wind Turbine can achieve above 90\% renewable penetration, making them ideal for power plant development. The Grid- PV-BESS-Load simulation shows the highest potential, supplying 74,418,472 kWh/year with 99.5\% system dominance. However, the economic evaluation of Battery Energy Storage Systems (BESS) in this area is still a major factor, and further research is needed to assess their potential in the future.",

keywords = "BESS, Homer, PV, economic, renewable",

author = "Sigit Sulistyono and Pamuji, \{Feby Agung\} and Heri Suryoatmojo",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 3rd IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025 ; Conference date: 24-05-2025 Through 25-05-2025",

year = "2025",

doi = "10.1109/AIMS66189.2025.11229514",

language = "English",

series = "2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025",

address = "United States",

}

Sulistyono, S, Pamuji, FA & Suryoatmojo, H 2025, Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO. in 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025. 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025, Sumedang, Indonesia, 24/05/25. https://doi.org/10.1109/AIMS66189.2025.11229514

Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO. / Sulistyono, Sigit; Pamuji, Feby Agung ; Suryoatmojo, Heri.
2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO

AU - Sulistyono, Sigit

AU - Pamuji, Feby Agung

AU - Suryoatmojo, Heri

PY - 2025

Y1 - 2025

N2 - The need for power in Southeast Sulawesi is increasing day by day so that the utilization of renewable energy with low carbon emissions is increasing. This study aiming to presents feasibility study of increasing the use of renewable energy source in Southeast Sulawesi Grid by using optimizing software HOMER Pro. The software HOMER Pro is used as a tool to determine the most feasible combination of component considered in this study. The PV System and Wind Turbine can achieve above 90% renewable penetration, making them ideal for power plant development. The Grid- PV-BESS-Load simulation shows the highest potential, supplying 74,418,472 kWh/year with 99.5% system dominance. However, the economic evaluation of Battery Energy Storage Systems (BESS) in this area is still a major factor, and further research is needed to assess their potential in the future.

AB - The need for power in Southeast Sulawesi is increasing day by day so that the utilization of renewable energy with low carbon emissions is increasing. This study aiming to presents feasibility study of increasing the use of renewable energy source in Southeast Sulawesi Grid by using optimizing software HOMER Pro. The software HOMER Pro is used as a tool to determine the most feasible combination of component considered in this study. The PV System and Wind Turbine can achieve above 90% renewable penetration, making them ideal for power plant development. The Grid- PV-BESS-Load simulation shows the highest potential, supplying 74,418,472 kWh/year with 99.5% system dominance. However, the economic evaluation of Battery Energy Storage Systems (BESS) in this area is still a major factor, and further research is needed to assess their potential in the future.

KW - BESS

KW - Homer

KW - PV

KW - economic

KW - renewable

UR - https://www.scopus.com/pages/publications/105025465464

U2 - 10.1109/AIMS66189.2025.11229514

DO - 10.1109/AIMS66189.2025.11229514

M3 - Conference contribution

AN - SCOPUS:105025465464

T3 - 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025

BT - 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025

Y2 - 24 May 2025 through 25 May 2025

ER -

Sulistyono S, Pamuji FA , Suryoatmojo H. Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO. In 2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (2025 IEEE International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2025). doi: 10.1109/AIMS66189.2025.11229514

Optimization of Hybrid Renewable Energy Potential in Southeast Sulawesi Using HOMER PRO

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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