Potential Projection of Non-Production Waste and GIS-derived Biomass Waste Potential Mapping Outside PT. XYZ for Boiler Alternative Fuels

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Abstract

Non-process waste such as wooden pallets, cardboard, and plastic in the manufacturing and/or processing industries can be used as a source of fuel that provides added value to the company. PT. XYZ is a Japanese manufacturing company that produces foodstuffs. During the production process, PT. XYZ produces non-process waste from internal sources in the form of wood, cardboard, and plastic. So far, this waste has not been used optimally. Therefore, in this study non-process waste will be projected using several time series models (AR, MA, ARMA, and ARIMA) as an illustration for the availability of raw materials to fulfil biomass fuel. In addition to waste in the factory, biomass waste is also mapped in the area around PT. XYZ for the fulfilment of biomass fuel using GIS (Geographic Information System). The time series analysis indicates that ARIMA model (0,1,1) without constants shows the smallest MAPE (14.7%) for wood waste, ARIMA model (1,1,0) without constants shows MAPE (27.39%) for cardboard waste, while plastic waste suits the ARIMA model (0,1,1) without constants yielding MAPE of 20.3%. Further, mapping of biomass waste potential around PT. XYZ, in Mojokerto, is subjected to the teak wood biomass waste (Tectona Grandis L.f) and eucalyptus. The biomass waste from teak wood waste and eucalyptus is potentially 783.1 tons/month and 0.3 tons/month, respectively. The projected results of biomass waste both inside and outside the factory can substitute 16.34% of coal fuel from the total fuel requirement in the boiler, i.e., 5143.7 tons/month.

Original languageEnglish
Article number012072
JournalIOP Conference Series: Earth and Environmental Science
Volume1276
Issue number1
DOIs
Publication statusPublished - 2023
Event8th Geomatics International Conference, GeoICON 2023 - Surabaya, Indonesia
Duration: 27 Jul 2023 → …

Keywords

  • Biomass
  • Geographical Information System
  • Time Series
  • Waste

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