Abstract
In this study, the biomethane potential of five agricultural crop residues (ACRs) (rice straw, vegetable waste, maize straw, coffee husk and oil palm empty fruit bunches (OPEFB)) and five Fruit-Based Agro-Industrial Wastes (FBAIWs) (jackfruit straw, banana, orange, apple and pineapple peel waste) were evaluated. The carbon and energy balance for each waste was also theoretically modelled for two biogas conversion scenarios (anaerobic digestion (AD) with CHP or biogas upgrading). A standard biomethane potential test (BMP) was operated over 30 days at 37 °C. Specific methane potential (SMP) of FBAIWs was generally higher than that of the ACRs, except for vegetable waste. Vegetable waste was identified as having the highest SMP (0.420 m3 kg−1 volatile solids (VS)added). With respect to ACRs, OPEFB and coffee husk had the lowest SMP values of 0.185 and 0.181 m3 kg−1 VSadded, respectively. This was attributed to the higher lignin content of these wastes which can impact on biodegradation and subsequent biogas production. Theoretical estimations showed a positive energy balance for all wastes tested. In terms of exportable energy, apple peel waste was shown to have the highest exportable energy potential. The FBAIWs also exhibited greater emissions savings than ACRs (with the exception of vegetable waste). This study concluded that there is good potential to valorise these wastes using AD and that this could address the challenges of waste management and clean energy provision in Indonesia. [Figure not available: see fulltext.]
| Original language | English |
|---|---|
| Pages (from-to) | 844-859 |
| Number of pages | 16 |
| Journal | Bioenergy Research |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Anaerobic digestion modelling
- Carbon footprints
- Energy footprints
- Mno-digestion
- Waste to bioenergy
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