Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2026 (ICOSTAS-EAS 2026)

International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2026 (ICOSTAS-EAS 2026)

📍Badung, Indonesia🗓️ 7 October 2026

Performance Analysis of Photovoltaic System for Tourism Accommodation Load in Bali Using MATLAB/Simulink and PVGIS Dataset

Authors
I Gusti Ngurah Agung Dwijaya Saputra1, *, I Nyoman Kusuma Wardana1, Ida Bagus Sugirianta1, I Ketut Suryawan1
1Electrical Engineering Department, Politeknik Negeri Bali, Bali, Indonesia
*Corresponding author. Email: dwijaya_s@pnb.ac.id
Corresponding Author
I Gusti Ngurah Agung Dwijaya Saputra
Available Online 8 October 2026.
DOI
10.2991/978-94-6239-805-4_21How to use a DOI?
Keywords
Bali; Energy Yield; MATLAB/Simulink; MPPT; Photovoltaic; PVGIS; P&O; Tourism Accommodation
Abstract

Bali’s tourism sector drives significant electricity demand across small-scale accommodation facilities, yet dependence on fossil-fuel generation remains high. This study presents a simulation-based performance analysis of a photovoltaic (PV) system for tourism accommodation load in Bali, Indonesia, using MATLAB/Simulink 2025a and PVGIS-ERA5 irradiance data. Solar irradiance and ambient temperature data were extracted for Denpasar (8.65°S, 115.22°E) from the PVGIS-ERA5 open-access dataset, with December 18, 2023 identified as the peak clear-sky day, reaching a maximum irradiance of 1059.9 W/m2. The simulated system comprises a CS6K-250P-FG PV array by Canadian Solar Inc. configured in 3 parallel strings of 2 series modules (1500W rated), a DC-DC boost converter, and a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) controller. Simulation at five irradiance operating points yielded output power ranging from 297.7W at 200 W/m2 to 1499.0W at 1000 W/m2, with MPPT tracking efficiency of 99.99–100.00% across all conditions. Daily energy yield on the selected clear day was estimated at 11.87 kWh. Load analysis revealed a temporal mismatch between peak PV generation at midday and peak villa energy demand in the evening, indicating that battery storage integration is essential for maximizing renewable energy utilization. These findings demonstrate the technical feasibility of PV adoption for small-scale tourism accommodation in tropical irradiance conditions.

Copyright
© 2026 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 2026 (ICOSTAS-EAS 2026)
Series
Advances in Engineering Research
Publication Date
8 October 2026
ISBN
978-94-6239-805-4
ISSN
2352-5401
DOI
10.2991/978-94-6239-805-4_21How to use a DOI?
Copyright
© 2026 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

TY  - CONF
AU  - I Gusti Ngurah Agung Dwijaya Saputra
AU  - I Nyoman Kusuma Wardana
AU  - Ida Bagus Sugirianta
AU  - I Ketut Suryawan
PY  - 2026
DA  - 2026/10/08
TI  - Performance Analysis of Photovoltaic System for Tourism Accommodation Load in Bali Using MATLAB/Simulink and PVGIS Dataset
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2026 (ICOSTAS-EAS 2026)
PB  - Atlantis Press
SP  - 193
EP  - 202
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-805-4_21
DO  - 10.2991/978-94-6239-805-4_21
ID  - Saputra2026
ER  -