Submitted:
25 August 2025
Posted:
29 August 2025
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Methodology Overview
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Collection and Quantification of Biomass WastePrimary data on waste generation were collected from PT Korindo’s processing operations, complemented by secondary parameters such as calorific values and methane yields sourced from peer-reviewed studies.
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Classification of Waste TypesWaste streams were categorized into solid (EFB, fiber, shell, wet decanter solids) and liquid (POME) to align with appropriate conversion pathways.
- Energy Potential Estimation
- 4.
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Energy Unit StandardizationResults were expressed in kcal, GJ, and kWh for international comparability using standardized conversion factors.
- 5.
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Comparative and Policy-Relevant AnalysisThe estimated potential was compared against rural electrification demand benchmarks and national renewable energy targets to assess alignment with sustainability and policy objectives.
2.3. Biomass Waste Estimation
2.4. Energy Potential Estimation
2.5. Assumptions and Limitations
- Annual FFB processing volume remains constant during the study period.
- Losses due to moisture content, combustion inefficiencies, and emissions are excluded from calculations.
- The study assesses theoretical energy potential only, without incorporating detailed life-cycle environmental impact assessments or cost-benefit analysis.
- Primary data were limited to PT Korindo operations; however, they provide a representative benchmark for large-scale palm oil plantations in Papua.
2.6. Research Framework
- Identification of Local Energy Challenges
- Assessing energy poverty and diesel dependency in Jair District.
- Palm Biomass Mapping
- Quantifying waste generation based on plantation-level data.
- Characterization of Conversion Pathways
- Reviewing physical and chemical properties to identify feasible energy routes (biogas, briquettes, combustion).
- Calculation of Energy Yields
- Estimating theoretical outputs from each waste type.
- Strategic Alignment
- Interpreting findings in the context of national renewable energy policy and SDGs, with consideration of socio-economic co-benefits.

3. Results
3.1. Energy Potential from Solid Biomass Waste
3.2. Biogas Potential from Palm Oil Mill Effluent (POME)
- Methane yield: 28 m³ CH₄ per ton of POME
- Methane calorific value: 9.97 kWh/m³
- Electricity conversion efficiency: 35%
3.3. Total Theoretical Renewable Energy Potential
| Waste Stream | Estimated Energy (kWh/year) |
|---|---|
| Shell | 372,140,000 |
| Fiber | 781,460,000 |
| Dried EFB | 1,827,370,000 |
| POME (biogas) | 42,923,220 |
| Total | 3,023,893,220 |
3.4. Visual Comparison by Waste Type
3.5. Policy-Relevant Interpretation
4. Discussion
4.1. Addressing Energy Insecurity in Remote Border Areas
4.2. Environmental and Economic Co-benefits
- Methane emissions from untreated POME can be significantly reduced.
- Air quality is improved through the reduction of open burning practices.
- Land use efficiency is increased by converting residues into energy rather than letting them accumulate as waste.
4.3. Briquetting of EFB as a Clean Fuel Innovation
- EFB briquettes can reach calorific values exceeding 5,000 kcal/kg.
- Emissions such as smoke, carbon monoxide, and particulates remain within safe limits for indoor combustion.
- Ash production is minimal, reducing the operational burden on end users.
4.4. Technological and Infrastructure Challenges
- Drying and densification equipment for EFB briquettes requires capital investment and maintenance capacity.
- Biogas systems for POME must be appropriately sized and managed to ensure biological stability and consistent output.
- Energy storage and distribution systems are needed to match variable demand in off-grid communities.
4.5. Policy and Governance Alignment
- The National Energy Policy (KEN) and RUEN emphasize increased biomass utilization to reach renewable energy targets of 23% by 2025 and 31% by 2050.
- Presidential Regulation No. 112/2022 prioritizes renewable energy development in remote and frontier areas through decentralized approaches.
4.6. Climate Mitigation and SDG Contributions
4.7. Critical Reflections and Future Research Directions
4.8. Preliminary Economic Assessment of Biomass Utilization
4.8.1. Estimated Power Output from Biomass Waste
| Waste Type | HHV (kJ/kg) | Fuel Available (kg/hr) | Steam Generated (kg/hr) | Estimated Power Output (MW) |
|---|---|---|---|---|
| EFB | 18,719.46 | 7,310 | 42,524.72 | 7.33 |
| Fiber | 20,315.45 | 6,310 | 39,835.86 | 6.87 |
| Shell | 23,569.26 | 2,500 | 18,301.61 | 3.16 |

4.8.2. Operational Cost Estimation
| Item | Daily Cost (IDR) | Notes |
|---|---|---|
| Biomass Fuel (50,126 kg × Rp100) | 5,012,600 | Main fuel source |
| Diesel Fuel (200 L × Rp4,500) | 900,000 | For start-up |
| Lubricants & Maintenance (5%) | 506,273 | Combined estimation |
| Total Daily Cost | 6,418,873 | |
| Annual Cost (365 days) | 2,341,058,900 | Excludes labor |
| Labor Cost (Annual) | 1,344,000,000 | |
| Total Operational Cost/Year | 3,686,888,499 |
4.8.3. Revenue Estimation
| Component | Value (IDR) |
|---|---|
| Energy Sales (4.8 MWh @ Rp1,312) | Rp6,297,600,000 |
| Fixed Charges (2,000 HH @ Rp40,000 x 12 mo) | Rp960,000,000 |
| Total Revenue/Year | Rp7,257,600,000 |
| Operational Cost | Rp3,686,888,499 |
| Net Annual Profit | Rp3,570,711,501 |
4.8.4. Investment Scenario Explanation
- Scenario 1 – 100% Equity: Fully financed by private or institutional equity, leading to maximum profit retention and faster return.
- Scenario 2 – 70% Bank Loan: Reduces upfront capital requirement but includes annual loan repayments.
- Scenario 3 – 30% Bank Loan: A balanced model combining reduced debt exposure with moderate leverage.
4.8.5. Financial Performance Comparison
| Indicator | Scenario 1 (100% Equity) | Scenario 2 (70% Loan) | Scenario 3 (30% Loan) |
|---|---|---|---|
| Payback Period (Years) | 6.26 | 10 | 10 |
| Benefit-Cost Ratio (BCR) | 3.24 | 1.63 | 1.77 |
| Internal Rate of Return | 14.57% | 7.71% | 9.37% |



4.8.6. Interpretation and Conclusion
- Supporting energy equity in Papua by expanding electricity access to underserved households.
- Reducing dependence on imported diesel and stabilizing rural energy costs.
- Creating employment in biomass collection, processing, and plant operations.
- Aligning with Indonesia’s renewable energy transition goals under RUEN and contributing directly to SDG 7 (Clean Energy), SDG 8 (Decent Work), and SDG 13 (Climate Action).
5. Conclusions
Author Contributions
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Waste Type | Conversion Factor (% of FFB) |
|---|---|
| Empty Fruit Bunches (EFB) | 23% |
| Fiber | 13.5% |
| Shell | 5.5% |
| Wet Decanter Solids (WDS) | 4% |
| Palm Oil Mill Effluent | 60% |
| Waste Type | Estimated Volume (tons/year) |
|---|---|
| EFB | 360,907 |
| Fiber | 211,826 |
| Shell | 86,303 |
| WDS | 62,766 |
| POME | 439,365 |
| Waste Type | Calorific Value (kcal/kg) |
|---|---|
| Shell | 3,719 |
| Fiber | 3,186 |
| Dried EFB | 4,353 |
| Bio-briquettes | >5,000 |
| Biogas (POME) | ~9.97 kWh/m³ |
| Waste Type | Quantity (tons/year) | Calorific Value (kcal/kg) | Total Energy (kcal/year) | Energy (GJ/year)* |
|---|---|---|---|---|
| Shell | 86,303 | 3,719 | 320,978,557,000 | 1,343,702 |
| Fiber | 211,826 | 3,186 | 675,102,036,000 | 2,824,893 |
| EFB (dried) | 360,907 | 4,353 | 1,571,100,471,000 | 6,573,859 |
| Total | — | — | 2,567,181,064,000 | 10,742,454 |
| Parameter | Value |
|---|---|
| POME generated | 439,365 tons/year |
| Estimated biogas volume | 12,301,482 m³/year |
| Energy content (gross) | 122,637,771 kWh/year |
| Electrical energy (net, 35%) | 42,923,220 kWh/year |
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