Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)

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Optimization Sizing of 100% Hybrid Renewable Energy and Battery Sensitivity Analysis

Authors
Ida Bagus Ketut Sugirianta1, *, Ida Ayu Dwi Giriantari2, Wayan Gede Ariastina2, Ida Bagus Alit Swamardika2
1Electrical Engineering Department, Politeknik Negeri Bali, Bali, Indonesia
2Engineering Science Doctoral Study Program, Universitas Udayana, Bali, Indonesia
*Corresponding author. Email: ibksugirianta@pnb.ac.id
Corresponding Author
Ida Bagus Ketut Sugirianta
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-587-4_55How to use a DOI?
Keywords
HOMER; Optimization; Renewable Energy; Sensitivity Analysis
Abstract

Using renewable energy power plants is a strategic approach to mitigating global warming, which poses a threat to life worldwide. The design of a 100% renewable hybrid energy system must be carefully optimized to ensure system efficiency and cost-effectiveness. The primary objectives of the optimization in this article are to minimize both the overall system cost and the cost of energy (COE). The renewable energy sources considered include solar PV, wind turbines, biodiesel generators, and batteries for energy storage. As a case study, the electricity system of the Nusa Penida Islands in Klungkung Regency, Bali, was analyzed. Key inputs for the HOMER software included daily electricity load characteristics, solar irradiation data, and wind speed data for the Nusa Penida area, which were used to determine the optimal sizing of the renewable energy plants. A sensitivity analysis was performed for four types of batteries (ZB, FB 333, 1 MLI, and NaS), with the state of charge (SOC) and battery lifetime as the key variables. The simulation results indicated that solar PV was dominant in achieving the lowest COE. The sensitivity analysis further revealed that a lower SOC percentage and longer battery lifetime contributed to a reduction in COE.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)
Series
Advances in Engineering Research
Publication Date
1 December 2024
ISBN
978-94-6463-587-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-587-4_55How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ida Bagus Ketut Sugirianta
AU  - Ida Ayu Dwi Giriantari
AU  - Wayan Gede Ariastina
AU  - Ida Bagus Alit Swamardika
PY  - 2024
DA  - 2024/12/01
TI  - Optimization Sizing of 100% Hybrid Renewable Energy and Battery Sensitivity Analysis
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)
PB  - Atlantis Press
SP  - 486
EP  - 496
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-587-4_55
DO  - 10.2991/978-94-6463-587-4_55
ID  - Sugirianta2024
ER  -