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Polynomial Regression Model Utilization to Determine Potential Refuse-Derived Fuel (RDF) Calories in Indonesia

Author

Listed:
  • Luqman Luqman

    (Faculty of Energy Telematics, Institut Teknologi PLN, Jakarta 11750, Indonesia)

  • Sarifuddin Madenda

    (Department of Information Technology, Gunadarma University, Depok 16424, Indonesia)

  • Prihandoko Prihandoko

    (Department of Information Technology, Gunadarma University, Depok 16424, Indonesia)

Abstract

Waste-to-energy (WTE) is one of the Indonesian government’s programs aiming to meet the target of achieving a new and renewable energy (NRE) mix, as well as one of the solutions proposed to overcome the problem of waste. One of the products of WTE is energy derived from raw material waste (refuse-derived fuel/RDF). Using the formula y = 0.00003 x 5 − 0.0069 x 4 + 0.6298 x 3 − 24.3245 x 2 + 432.8401 x + 55.7448 with R 2 = 0.9963, which was obtained by comparing a scatter plot diagram from the RDF calorie test dataset produced through a bio-drying process, the potential RDF calories produced using the waste composition dataset taken from each region in Indonesia can be calculated. The results of the calculations using the determined equations produce a list of provinces with RDF calorie potential, ordered from the largest to the smallest, using which the government can determine which areas are the main priority for processing waste into energy. Thus, through this method, the target of 5.1% renewable energy sourced from waste can be achieved by 2025.

Suggested Citation

  • Luqman Luqman & Sarifuddin Madenda & Prihandoko Prihandoko, 2023. "Polynomial Regression Model Utilization to Determine Potential Refuse-Derived Fuel (RDF) Calories in Indonesia," Energies, MDPI, vol. 16(20), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7200-:d:1264955
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    References listed on IDEAS

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    1. Weiwei Wang, 2023. "Integrated Assessment of Economic Supply and Environmental Effects of Biomass Co-Firing in Coal Power Plants: A Case Study of Jiangsu, China," Energies, MDPI, vol. 16(6), pages 1-22, March.
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