A Circular-Economy-Driven Interval Type-2 Fuzzy Modelling Approach for Reliable EFB Biomass Power Generation

Rizki Agam Syahputra; La Ode Hasnudin S. Sagala; Noer Octaviana Maliza

doi:10.2991/978-94-6239-781-1_15

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A Circular-Economy-Driven Interval Type-2 Fuzzy Modelling Approach for Reliable EFB Biomass Power Generation

Authors

Rizki Agam Syahputra¹^{, 2}^{, *}, La Ode Hasnudin S. Sagala¹^{, 3}, Noer Octaviana Maliza⁴

¹Postgraduate Program in Agro-Industrial Engineering, IPB University, Bogor, Indonesia

²Department of Industrial Engineering, Faculty of Engineering, Universitas Teuku Umar, Meulaboh, Indonesia

³Department of Information System, Faculty of Information Technology, Universitas Sembilanbelas November Kolaka, Kolaka, Indonesia

⁴Department of Agroindustrial Technology, Faculty of Agriculture, Universitas Teuku Umar, Meulaboh, Indonesia

^*Corresponding author. Email: rizkiagam@apps.ipb.ac.id

Corresponding Author

Rizki Agam Syahputra

Available Online 30 September 2026.

DOI: 10.2991/978-94-6239-781-1_15 How to use a DOI?
Keywords: Empty fruit bunch; Biomass power generation; Interval Type-2 fuzzy logic; Circular economy; Systems engineering; Waste valorization
Abstract: The transition to green technology and circular agroindustrial systems requires biomass-to-energy conversion processes that remain reliable under uncertain feedstock conditions. Palm oil empty fruit bunches (EFB) are abundant residues in Indonesia and represent a strategic renewable-energy resource, yet their operational use is constrained by stochastic moisture accumulation, biological heterogeneity, and fluctuating calorific value. This paper develops a systems-engineering and Interval Type-2 Fuzzy Logic System (IT2FLS) framework for improving the reliability of EFB-based biomass power generation. The biomass supply chain is formulated as a multi-input single-output closed-loop system that separates controllable logistics decisions from uncontrollable environmental and biological disturbances. The proposed IT2FLS uses a footprint of uncertainty to represent ambiguous membership boundaries and to dampen noise that conventional Type-1 fuzzy models cannot explicitly capture. A full-factorial rule base of 27 rules was evaluated using daily simulation data for one operating year. Results show that IT2FLS reduced root mean square error from 58.14 MWh to 15.82 MWh and mean absolute percentage error from 12.4% to 3.1%, while increasing the coefficient of determination from 0.821 to 0.985. Control-surface analysis further reveals a moisture-driven veto effect, whereby high water content suppresses energy output even when calorific value is high. The framework supports adaptive pretreatment, storage, and scheduling decisions for resilient circular-economy implementation in palm oil agroindustry.
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 3rd International Conference on Applied Engineering, Sciences, Technology and Innovation (AESTI 2025)
Series: Advances in Engineering Research
Publication Date: 30 September 2026
ISBN: 978-94-6239-781-1
ISSN: 2352-5401
DOI: 10.2991/978-94-6239-781-1_15 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Rizki Agam Syahputra
AU  - La Ode Hasnudin S. Sagala
AU  - Noer Octaviana Maliza
PY  - 2026
DA  - 2026/09/30
TI  - A Circular-Economy-Driven Interval Type-2 Fuzzy Modelling Approach for Reliable EFB Biomass Power Generation
BT  - Proceedings of the 3rd International Conference on Applied Engineering, Sciences, Technology and Innovation (AESTI 2025)
PB  - Atlantis Press
SP  - 160
EP  - 169
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-781-1_15
DO  - 10.2991/978-94-6239-781-1_15
ID  - Syahputra2026
ER  -

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