Integrated Techno-Economic, Environmental Screening, and Social Return on Investment Analysis of Community-Scale Sawdust–Polypropylene Co-Pyrolysis for Heavy-Metal Adsorbent Production in Rural Area, Thailand
Abstract
1. Introduction
2. Materials and Methods
2.1. Economic Analysis of SPB Production
2.1.1. Capital Expenditure (CAPEX)
2.1.2. Operating Expenditure (OPEX) per Production Batch
2.1.3. Simplified Payback Analysis
2.2. Simplified Environmental Screening Assessment of SPB Production
2.2.1. Goal and Scope Definition
2.2.2. Life Cycle Inventory (LCI)
2.3. CO2 Emission Assessment of SPB Co-Pyrolysis Production
2.4. Social Return on Investment (SROI) Analysis
3. Results and Discussion
3.1. Capital Expenditure and Operating Expenditure and Production Cost per Kilogram
3.2. Simple Payback Calculation, Circular Economy, and Waste-Valorization Benefits
3.3. Gross Gate-To-Gate Emissions
3.4. CO2 Emission Analysis for SPB-500 Production
3.5. Total Investment (Inputs), Outcomes, Indicators and Financial Proxies
3.6. Present Value of Outcomes
3.7. SROI Ratio, Sensitivity Analysis and SDGs
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CAPEX | Capital Expenditure |
| CED | Cumulative Energy Demand |
| CHNS | Carbon, Hydrogen, Nitrogen, and Sulfur Analysis |
| EFCseq | Emission Factor for Carbon Sequestration |
| EFelec | Electricity Emission Factor |
| EFLPG | Liquefied Petroleum Gas Emission Factor |
| EFPP | Emission Factor for Polypropylene Open Burning |
| EFsaw | Emission Factor for Sawdust Landfill Decomposition |
| EOL | End-of-Life |
| FEP | Freshwater Eutrophication Potential |
| FTE | Full-Time Equivalent |
| GAC | Granular-Activated Carbon |
| GHG | Greenhouse Gas |
| GWP100 | Global Warming Potential (100-year time horizon) |
| HTP | Human-Toxicity Potential |
| IBI | International Biochar Initiative |
| IPCC | Intergovernmental Panel on Climate Change |
| LCA | Life Cycle Assessment |
| LCI | Life Cycle Inventory |
| LPG | Liquefied Petroleum Gas |
| MJ | Megajoule |
| OPEX | Operating Expenditure |
| PAC | Powdered-Activated Carbon |
| PCD | Pollution Control Department |
| PID | Proportional–Integral–Derivative Controller |
| PP | Polypropylene |
| PV | Present Value |
| SDG | Sustainable Development Goal |
| SPB | Sawdust–Polypropylene Biochar |
| SPB-500 | Sawdust–Polypropylene Biochar Produced at 500 °C |
| SROI | Social Return on Investment |
| TEA | Techno-Economic Analysis |
| TGO | Thailand Greenhouse-Gas Management Organization |
| THB | Thai Baht |
| TIC-101 | Temperature Indicator Controller |
| UN | United Nations |
| USD | United States Dollar |
| WHO | World Health Organization |
References
- OECD. Global Plastics Outlook: Economic Drivers, Environmental Impacts and Policy Options; OECD Publishing: Paris, France, 2022. [Google Scholar]
- PlasticsEurope. Plastics—The Facts 2024. PlasticsEurope. 2024. Available online: https://plasticseurope.org/knowledge-hub/plastics-the-fast-facts-2024/ (accessed on 2 May 2026).
- OECD. Environment. Available online: https://www.oecd.org/environment/plastic-waste-to-almost-triple-by-2060.htm (accessed on 13 January 2026).
- Xayachak, T.; Haque, N.; Parthasarathy, R.; King, S.; Emami, N.; Lau, D.; Pramanik, B.K. Pyrolysis for plastic waste management: An engineering perspective. J. Environ. Chem. Eng. 2022, 10, 108865. [Google Scholar] [CrossRef]
- Chasioti, A.; Zabaniotou, A. An industrial perspective for sustainable polypropylene plastic waste management via catalytic pyrolysis—A technical report. Sustainability 2024, 16, 5852. [Google Scholar] [CrossRef]
- Oony-Iye, A.; Ebhodaghe, S.; Ogbeide, S. Modelling and simulation of mixed sawdust pyrolysis using Aspen Plus® software. Eur. J. Sustain. Dev. Res. 2025, 9. [Google Scholar] [CrossRef] [PubMed]
- Heriyani, O.; Djaeni, M.; Syaiful, S.; Putri, A.K. Perforated concave rectangular winglet pair vortex generators enhance the heat transfer of air flowing through heated tubes inside a channel. Results Eng. 2022, 16, 100705. [Google Scholar] [CrossRef]
- Hongthong, S.; Sangsida, W.; Wongcharee, S.; Chanthakhot, A.; Aungthitipan, P.; Suwannahong, K.; Kreetachat, T.; Rioyo, J. Enhanced biochar production via co-pyrolysis of biomass residual with plastic waste after recycling process. Int. J. Chem. Eng. 2024, 2024, 1176275. [Google Scholar] [CrossRef]
- Gu, C.; Zhao, H.; Xu, B.; Yang, J.; Zhang, J.; Du, M.; Liu, Y.; Tikhankin, D.; Yuan, Z. Cfd-dem simulation of distribution and agglomeration characteristics of bendable chain-like biomass particles in a fluidized bed reactor. Fuel 2023, 340, 127570. [Google Scholar] [CrossRef]
- Vo, T.A.; Tran, Q.K.; Ly, H.V.; Kwon, B.; Hwang, H.T.; Kim, J.; Kim, S.-S. Co-pyrolysis of lignocellulosic biomass and plastics: A comprehensive study on pyrolysis kinetics and characteristics. J. Anal. Appl. Pyrolysis 2022, 163, 105464. [Google Scholar] [CrossRef]
- Esso, S.B.E.; Xiong, Z.; Chaiwat, W.; Kamara, M.F.; Longfei, X.; Xu, J.; Ebako, J.; Jiang, L.; Su, S.; Hu, S.; et al. Review on synergistic effects during co-pyrolysis of biomass and plastic waste: Significance of operating conditions and interaction mechanism. Biomass Bioenergy 2022, 159, 106415. [Google Scholar] [CrossRef]
- Hu, Q.; Zhang, H.; Mao, Q.; Zhu, J.; Zhang, S.; Yang, H.; Chen, H. The effect of co-pyrolysis of bamboo waste and polypropylene on biomass deoxygenation and carbonization processes. Energy 2024, 291, 130339. [Google Scholar] [CrossRef]
- Alawa, B.; Choudhary, J.; Chakma, S. Discernment of synergism in co-pyrolysis of hdpe and pp waste plastics for production of pyro-oil: Mechanistic investigation with economic analysis and health risk assessment. Process Saf. Environ. Prot. 2023, 169, 107–131. [Google Scholar] [CrossRef]
- Jena, M.K.; Liang, R.; Dey, S.D.; Gao, W.; Prabakar, P.; Yin, Y.; Kamal, S.; Gangawane, K.M.; Sivagami, K.; Shakir, M.; et al. A comprehensive review on co-pyrolysis of biomass, plastics, and waste tires: Mechanistic insights, synergistic effects, and optimization strategies. J. Anal. Appl. Pyrolysis 2026, 197, 107829. [Google Scholar] [CrossRef]
- Yadav, G.; Singh, A.; Dutta, A.; Uekert, T.; DesVeaux, J.S.; Nicholson, S.R.; Tan, E.C.D.; Mukarakate, C.; Schaidle, J.A.; Wrasman, C.J.; et al. Techno-economic analysis and life cycle assessment for catalytic fast pyrolysis of mixed plastic waste. Energy Environ. Sci. 2023, 16, 3638–3653. [Google Scholar] [CrossRef]
- Inayat, A.; Ahmed, A.; Tariq, R.; Waris, A.; Jamil, F.; Ahmed, S.F.; Ghenai, C.; Park, Y.-K. Techno-economical evaluation of bio-oil production via biomass fast pyrolysis process: A review. Front. Energy Res. 2022, 9, 770355. [Google Scholar] [CrossRef]
- Kulas, D.G.; Zolghadr, A.; Chaudhari, U.S.; Shonnard, D.R. Economic and environmental analysis of plastics pyrolysis after secondary sortation of mixed plastic waste. J. Clean. Prod. 2023, 384, 135542. [Google Scholar] [CrossRef]
- Zabaniotou, A.; Vaskalis, I. Economic assessment of polypropylene waste (pp) pyrolysis in circular economy and industrial symbiosis. Energies 2023, 16, 593. [Google Scholar] [CrossRef]
- Hasan, M.M.; Rasul, M.G.; Jahirul, M.I.; Sattar, M.A. An aspen plus process simulation model for exploring the feasibility and profitability of pyrolysis process for plastic waste management. J. Environ. Manag. 2024, 355, 120557. [Google Scholar] [CrossRef] [PubMed]
- Nistor, M.-A.; Halip, L.; Muntean, S.G.; Kurunczi, L.; Costișor, O. Modeling and optimization of acid orange 7 adsorption process using magnetite/carbon nanocomposite. Sustain. Chem. Pharm. 2022, 29, 100778. [Google Scholar] [CrossRef]
- Liu, Y.; Yang, X.; Zhang, J.; Zhu, Z. Process simulation of preparing biochar by biomass pyrolysis via aspen plus and its economic evaluation. Waste Biomass Valorization 2022, 13, 2609–2622. [Google Scholar] [CrossRef]
- Jaroenkhasemmeesuk, C.; Tippayawong, N.; Shimpalee, S.; Ingham, D.B.; Pourkashanian, M. Improved simulation of lignocellulosic biomass pyrolysis plant using chemical kinetics in aspen plus® and comparison with experiments. Alex. Eng. J. 2023, 63, 199–209. [Google Scholar] [CrossRef]
- Khaowdang, S.; Suriyachai, N.; Imman, S.; Kreetachat, N.; Chuetor, S.; Wongcharee, S.; Suwannahong, K.; Nukunudompanich, M.; Kreetachat, T. Valorization of sugarcane bagasse in thailand: An economic analysis of ethanol and co-product recovery via organosolv fractionation. Sustainability 2025, 17, 7145. [Google Scholar] [CrossRef]
- Khaowdang, S.; Suriyachai, N.; Imman, S.; Kreetachat, T.; Chuetor, S.; Wongcharee, S.; Suwannahong, K. Comparative study on techno-economic analysis for various organosolv fractionation of bagasse in thailand. Appl. Sci. Eng. Prog. 2025, 18, 7794. [Google Scholar] [CrossRef]
- Kreetachat, T.; Imman, S.; Suriyachai, N.; Khaowdang, S.; Chanthakhot, A.; Janthakhot, A.; Wongcharee, S.; Sangsida, W.; Hongthong, S.; Suwannahong, K. Co-pyrolyzed sawdust–polypropylene biochar as a sustainable adsorbent for heavy-metal removal in wastewater. Appl. Water Sci. 2026, 16, 224. [Google Scholar] [CrossRef]
- Chanthakhot, A.; Aungthitipan, P.; Tansomros, P.; Maskhunthod, P.; Janthakot, A.; Hongthong, S.; Kreethachat, T.; Imman, S.; Wongcharee, S. Characterization of biochar produced from sawdust and polypropylene plastic waste composite via slow pyrolysis. In Proceedings of the 2024 Geoinformatics for Spatial-Infrastructure Development in Earth and Allied Sciences (GIS-IDEAS), Chiang Rai, Thailand, 11–13 December 2024; IEEE: Piscataway, NJ, USA, 2024; pp. 1–6. [Google Scholar]
- Roberts, K.G.; Gloy, B.A.; Joseph, S.; Scott, N.R.; Lehmann, J. Life cycle assessment of biochar systems: Estimating the energetic, economic, and climate change potential. Environ. Sci. Technol. 2010, 44, 827–833. [Google Scholar] [CrossRef] [PubMed]
- Wernet, G.; Bauer, C.; Steubing, B.; Reinhard, J.; Moreno-Ruiz, E.; Weidema, B. The ecoinvent database version 3 (part I): Overview and Methodology. Int. J. Life Cycle Assess. 2016, 21, 1218–1230. [Google Scholar] [CrossRef]
- Intergovernmental Panel on Climate Change (IPCC). Climate Change 2021—The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel On Climate Change; Cambridge University Press: Cambridge, UK, 2023. [Google Scholar] [CrossRef]
- Thailand Greenhouse Gas Management Organization (TGO). Emission Factor from Electricity Generation/Consumption for Greenhouse Gas Mitigation Projects and Activities; Greenhouse Gas Mitigation Mechanism: Bangkok, Thailand, 2022. Available online: https://ghgreduction.tgo.or.th/en/premium-t-ver-download/download/6966/3801/32.html (accessed on 15 May 2026).
- Bank of Thailand (BOT). Foreign Exchange Rates (Annual Average, 2024). Available online: https://www.bot.or.th (accessed on 19 May 2026).
- Alhashimi, H.A.; Aktas, C.B. Life cycle environmental and economic performance of biochar compared with activated carbon: A meta-analysis. Resour. Conserv. Recycl. 2017, 118, 13–26. [Google Scholar] [CrossRef]
- Bayer, P.; Heuer, E.; Karl, U.; Finkel, M. Economical and ecological comparison of granular activated carbon (gac) adsorber refill strategies. Water Res. 2005, 39, 1719–1728. [Google Scholar] [CrossRef] [PubMed]
- Yahya, M.A.; Al-Qodah, Z.; Ngah, C.W.Z. Agricultural bio-waste materials as potential sustainable precursors used for activated carbon production: A review. Renew. Sustain. Energy Rev. 2015, 46, 218–235. [Google Scholar] [CrossRef]
- Jin, R.; Gao, S.; Cheshmehzangi, A.; Aboagye-Nimo, E. A holistic review of off-site construction literature published between 2008 and 2018. J. Clean. Prod. 2018, 202, 1202–1219. [Google Scholar] [CrossRef]
- IPCC. 2006 IPCC Guidelines for National Greenhouse Gas Inventories; Eggleston, H.S., Buenida, L., Miwa, K., Ngara, T., Tanabe, K., Eds.; IGES: Hayama, Japan, 2006; Available online: https://www.ipcc-nggip.iges.or.jp/public/2006gl/ (accessed on 30 March 2026).
- Woolf, D.; Amonette, J.E.; Street-Perrott, F.A.; Lehmann, J.; Joseph, S. Sustainable biochar to mitigate global climate change. Nat. Commun. 2010, 1, 56. [Google Scholar] [CrossRef] [PubMed]
- Babel, S.; Kurniawan, T.A. Low-cost adsorbents for heavy metals uptake from contaminated water: A review. J. Hazard. Mater. 2003, 97, 219–243. [Google Scholar] [CrossRef] [PubMed]
- Hamilton, W.P.; Kim, M.; Thackston, E.L. Comparison of commercially available escherichia coli enumeration tests: Implications for attaining water quality standards. Water Res. 2005, 39, 4869–4878. [Google Scholar] [CrossRef] [PubMed]
- Fawer, M.; Concannon, M.; Rieber, W. Life cycle inventories for the production of sodium silicates. Int. J. Life Cycle Assess. 1999, 4, 207–212. [Google Scholar] [CrossRef]
- Rodriguez-Caballero, A.; Aymerich, I.; Marques, R.; Poch, M.; Pijuan, M. Minimizing N2O emissions and carbon footprint on a full-scale activated sludge sequencing batch reactor. Water Res. 2015, 71, 1–10. [Google Scholar] [CrossRef] [PubMed]








| Equipment Item | Specification | Cost (THB) | Cost (USD) |
|---|---|---|---|
| Stainless-steel reactor (R-101) | OD 60 cm, H 1.0 m, locally fabricated | 25,000 | 699 |
| LPG burner and gas fittings | Industrial grade, 15–20 kW | 4500 | 126 |
| Temperature controller (TIC-101) | PID type, K-type thermocouple | 2500 | 70 |
| Char screw conveyor (C-101) | Manual/semi-automatic, stainless steel | 3000 | 84 |
| Drying oven (D-101) | 50–100 °C, 50 L capacity | 8000 | 223 |
| Ancillary items (piping, safety, insulation) | Valves, gauges, fittings | 3000 | 84 |
| Total CAPEX | 46,000 | 1286 |
| Cost Item | Quantity Per Batch | Unit Cost | Batch Cost | Batch Cost |
|---|---|---|---|---|
| (THB) | (THB) | (USD) | ||
| Sawdust feedstock (V-101) | 800 g | 0.5 per kg | 0.4 | 0.01 |
| PP plastic waste feedstock (V-102) | 200 g | 2.0 per kg | 0.4 | 0.01 |
| LPG fuel (R-101 burner) | ~0.4 kg LPG | 20.0 per kg | 8 | 0.22 |
| Electricity for oven drying (D-101) | 1.5 kWh | 4.5 per kWh | 6.75 | 0.19 |
| Labor—grinding and handling (G-101) | 1 h | 80 per h | 80 | 2.23 |
| Maintenance and depreciation allowance | Per batch | — | 15 | 0.42 |
| Total batch OPEX | — | — | 110.55 | 3.09 |
| Estimated SPB yield at 500 °C (~35% w/w) [27] | 350 g per batch | — | — | — |
| Production cost per kg SPB-500 | — | — | 316 THB kg−1 | ~8.8 USD kg−1 |
| Stage | Included in System Boundary | Excluded/Rationale |
|---|---|---|
| Feedstock acquisition | Receipt of sawdust and PP waste at production site | Upstream collection and transport: excluded waste-input allocation (ISO 14044) [28] |
| Pre-treatment (drying, size reduction) | Electricity for oven drying (D-101); manual size reduction | Equipment manufacturing: excluded outside gate-to-gate scope |
| Pyrolysis (R-101) | LPG combustion for heating; process CO2, CO, CH4 emissions from thermal oxidation | Reactor fabrication embodied energy: excluded from screening scope |
| Post-combustion gas treatment (F-101) | Thermal oxidation of pyrolysis vapors; flue gas CO2 emissions | Detailed gas-phase speciation: not available at this stage |
| Product collection and grinding (G-101) | Manual labor; marble mortar grinding | Machine-ground alternative: excluded manual process used |
| Product use phase | Excluded from gate-to-gate scope | Full use-phase LCA recommended in future work |
| End-of-life (spent SPB) | Excluded from gate-to-gate scope | Regeneration cycle data available but EOL allocation beyond scope |
| Input/Output Item | Quantity per kg SPB | Emission Factor | Unit | CO2e per kg SPB |
|---|---|---|---|---|
| Inputs | ||||
| Sawdust feedstock | 2.286 | 0 (waste-input rule) | kg | 0 |
| PP plastic waste feedstock | 0.571 | 0 (waste-input rule) | kg | 0 |
| LPG fuel (R-101 burner) | 1.143 | 2.983 kg CO2e kg−1 LPG | kg LPG | 3.410 |
| Electricity for drying (D-101) | 4.286 | 0.5765 kg CO2e kWh−1 | kWh | 2.471 |
| Post-combustion of pyrolysis vapors, gases, and oils | 0.788 kg C oxidized | 44/12 kg CO2 kg−1 C | kg C | 2.890 |
| Labor (manual handling) | 2.857 person-h | Not quantified | – | – |
| Outputs | ||||
| SPB-500 product | 1 | – | kg | – |
| Gross gate-to-gate GHG emissions | – | – | – | +8.771 |
| Credit Item | Quantity | Assumption | Unit | CO2e Credit |
|---|---|---|---|---|
| Potential carbon-retention credit, conditional on safe EOL management | total carbon content in SPB-500, 0.844 kg C (CHNS analysis) | Stability factor, 0.80 (IBI criterion), Stable carbon content = 0.675 kg C | kg CO2e | −2.477 (0.675 × 44/12) |
| Avoided landfill CH4 from sawdust diversion | 2.286 kg sawdust | Alternative disposal scenario | kg CO2e | −1.596 |
| Avoided PP open burning | 0.571 kg PP | Alternative disposal scenario | kg CO2e | −1.616 |
| Total consequential credits | – | – | – | −5.689 |
| Indicator | Value |
|---|---|
| Gross gate-to-gate emissions | +8.771 kg CO2e kg−1 SPB |
| Total consequential credits | −5.689 kg CO2e kg−1 SPB |
| Net GHG balance (scenario-based), including conditional carbon-retention and waste-diversion credits | +3.082 kg CO2e kg−1 SPB |
| Emission Source/Activity | Unit | Emission Factor | Value | Reference |
|---|---|---|---|---|
| LPG combustion (stationary) | kg CO2e kg−1 LPG | EFLPG | 2.983 | IPCC 2006, Vol.2, Tier 1 [29] |
| Thai grid electricity | kg CO2e kWh−1 | EFelec | 0.5765 | TGO Thailand 2022 [30] |
| Landfill CH4 from sawdust decomposition | kg CO2e kg−1 sawdust | EFsaw | 0.698 | IPCC 2006, Vol.5; GWP100 (CH4) = 27.9 AR6 [29] |
| Open burning of PP plastic waste | kg CO2e kg−1 PP | EFPP | 2.83 | IPCC 2006, Vol.5, Annex 3 [29] |
| Carbon sequestration in stable biochar | kg CO2e kg−1 C in biochar | EFCseq | −3.667 | Stoichiometric: 44/12 CO2:C ratio |
| Biochar carbon stability factor (fstable) | Dimensionless | fstable | 0.80 | IBI criterion (H/Corg < 0.4) |
| Impact Category | Unit | SPB-500 (This Study) | Commercial GAC (Literature) | Comparison with GAC |
|---|---|---|---|---|
| Gross GWP100 (production only) | kg CO2e kg−1 | +8.771 | 3.5–9.0 [28,32] | Within reported literature range |
| Net GWP100 (hybrid scenario-based) | kg CO2e kg−1 | +3.082 | 3.5–9.0 (no consequential credits) [29] | Approximately 0.4–5.9 kg CO2e kg−1 lower |
| GWP100 per g Cu2+ removed (functional unit basis) | g CO2e g−1 Cu2+ removed | 0.047 | 0.044–0.113 [33] | Within lower reported range |
| Cumulative Energy Demand (CED) | MJ kg−1 | 57.6 | 50–120 [28,32] | Lower to comparable |
| Freshwater Eutrophication Potential (FEP) | Qualitative | Low (no chemical activation reagents) | Moderate (KOH/ZnCl2 activation) [34] | Lower (qualitative benchmark) |
| Human-Toxicity Potential (HTP) | Qualitative | Low (LPG combustion with post-combustion control) | Moderate (chemical activation and coal-derived emissions) [35] | Lower (qualitative benchmark) |
| Land use | Qualitative | Negligible (waste-derived feedstocks) | Low–moderate (biomass cultivation/mining) [29,36] | Lower |
| Potential carbon-retention credit * | kg CO2e kg−1 | −2.477 | Variable (−0.5 to −2.0) [37] | Higher potential credit |
| Adsorbent | GWP (kg CO2e kg−1) | Net GWP (with Credits) | CED (MJ kg−1) | Activation Chemicals | FEP | HTP |
|---|---|---|---|---|---|---|
| SPB-500 (this study) | +8.771 | +3.082 ★ | ~57.6 | None | Low | Low |
| Commercial biochar (typ.) [28] | 2.0–5.0 | −0.5 to +2.0 | 20–60 | Sometimes | Low–mod. | Low–mod. |
| GAC (granular-activated carbon) [32,38] | 3.5–9.0 | 3.5–9.0 (no credit) | 50–120 | Yes (KOH/ZnCl2) | Moderate | Moderate |
| PAC (powdered-activated carbon) [39] | 4.0–10.0 | 4.0–10.0 | 60–130 | Yes (H3PO4) | Moderate | Moderate |
| Synthetic zeolite [40] | 5.0–12.0 | 5.0–12.0 | 80–180 | N/A | Low | Low |
| Ion-exchange resin [41] | 12–25 | 12–25 | 200–400 | N/A (synthetic) | Moderate | High |
| Parameter | SPB-500 | Source/Assumption |
|---|---|---|
| Biochar yield (% w/w of feedstock) | 35% | Lit. slow pyrolysis, lignocellulosic-PP blends |
| Feedstock input per kg SPB (kg) | 2.857 | =1/yield fraction |
| Sawdust input per kg SPB (kg) [4:1 ratio] | 2.286 | =feedstock × 0.80 |
| PP plastic input per kg SPB (kg) [4:1 ratio] | 0.571 | =feedstock × 0.20 |
| LPG consumed per kg SPB (kg LPG) | 1.143 | =0.4 kg batch−1/yield fraction |
| Electricity for drying per kg SPB (kWh) | 4.286 | =1.5 kWh batch−1/yield fraction |
| Carbon content of SPB (wt.%, CHNS Table 2) | 84.43% | Measured, CHNS analysis (LECO CHN628) |
| Stable C in biochar (kg per kg SPB) | 0.675 | =C% × 1 kg × fstable (0.80) |
| Step | Emission Source or Credit | Calculation | Value | Unit | kg CO2e kg−1 SPB |
|---|---|---|---|---|---|
| GROSS EMISSIONS | |||||
| 1 | LPG combustion (R-101 burner) | 1.143 × 2.983 | 1.143 | kg LPG | +3.410 |
| 2 | Grid electricity drying (D-101) | 4.286 × 0.5765 | 4.286 | kWh | +2.471 |
| 3 | Post-combustion of vapors/gases/oils | 0.788 × 3.667 | 0.778 | kg C | +2.890 |
| Gross production emission (Eprod) | Step 1 + Step 2 + Step 3 | +8.771 | |||
| CREDITS | |||||
| 3 | Stable C sequestration in biochar | 0.675 × (−3.667) | 0.675 | kg C | −2.477 |
| 4 | Avoided landfill CH4 sawdust | 2.286 × 0.698 | 2.286 | kg Sawdust | −1.596 |
| 5 | Avoided open-burning PP plastic | 0.571 × 2.830 | 0.571 | kg PP | −1.616 |
| Total credits | Step 3 + Step 4 + Step 5 | −5.687 | |||
| NET CO2e balance (Etotal) | Eprod + credits | +3.082 (scenario-based greenhouse-gas assessment) ★ | |||
| Input Item | Year 1 (THB) | Years 2–5 p.a. (THB) | 5-Year Total (THB) | Contributor | Input Item |
|---|---|---|---|---|---|
| CAPEX reactor + equipment | 46,000 | 0 | 46,000 | University/grant | CAPEX reactor + equipment |
| Annual OPEX (production cost basis) | 379,200 | 379,200 | 1,896,000 | Project budget | Annual OPEX (production cost basis) |
| Labor (2 FTE operators) | 384,000 | 384,000 | 1,920,000 | Local employment | Labor (2 FTE operators) |
| Research/monitoring costs | 120,000 | 60,000 | 360,000 | University | Research/monitoring costs |
| Adsorption system (columns, plumbing) | 80,000 | 10,000 | 120,000 | Municipality/project | Adsorption system (columns, plumbing) |
| Total investment | 1,009,200 | 833,200 | 4,342,000 | — | Total investment |
| Outcome | Indicator | Financial Proxy | Proxy Value (THB yr−1) | Dead-weight | Attribution | Drop-Off | Adjusted Value yr 1 (THB) |
|---|---|---|---|---|---|---|---|
| O1: Improved water quality for 50 households | Improved Cu2+ removal and wastewater quality under the experimental conditions | Avoided bottled-water expenditure (alternative water supply cost only) | 750,000 | 5% | 90% | 0% | 641,250 |
| O2: Reduced health risk Cu2+ exposure | Number of households with access to Cu2+ that improved Cu2+ removal and wastewater quality under the experimental conditions | Avoided healthcare costs associated with Cu-related illness (cost-of-illness approach) | 400,000 | 10% | 80% | 0% | 288,000 |
| O3: Diversion of sawdust from open burning | Tonnes of sawdust diverted per year (2.857 kg/kg SPB × 1200 kg/yr = 3.43 t/yr) | Avoided air pollution cost: PM2.5 health impact + CO2e carbon price (35 USD t−1) | 280,000 | 10% | 85% | 0% | 213,300 |
| O4: Diversion of PP plastic from landfill/illegal dump | Tonnes of PP diverted (0.571 kg/kg SPB × 1200 = 0.685 t/yr) | Avoided landfill cost + avoided marine pollution cost (250 USD t−1 social cost) | 62,000 | 15% | 80% | 0% | 42,160 |
| O5: Local employment creation | 2 FTE jobs created for local operators/technicians | Well-being value of employment (Fujiwara et al. proxy: 25,000 THB/FTE/yr above wage) | 50,000 | 20% | 90% | 0% | 36,000 |
| O6: Skills and capacity building | Number of operators trained in pyrolysis and water treatment | Value of equivalent vocational training course (market rate) | 30,000 | 20% | 90% | 10% | 19,440 |
| O7: Carbon sequestration (stable C in biochar) | kg CO2e sequestered per year: 0.675 kg C/kg SPB × 1200 × 3.667 = 2970 kg CO2e yr−1 | Carbon credit price: 35 USD t−1 CO2e (Thai voluntary carbon market estimate) | 3707 | 0% | 100% | 10% | 3522 |
| O8: Reduced industry compliance risk (sawmill + PP supplier) | Reduced regulatory fines/penalties for illegal waste disposal | Average environmental fine avoided (PCD Thailand, solid waste violation) | 120,000 | 30% | 70% | 10% | 55,860 |
| O9: Knowledge and research value | Peer-reviewed publication in high-impact journal; accessible data | Estimated grant equivalent and knowledge externality (bibliometric proxy) | 200,000 | 20% | 100% | 20% | 128,000 |
| Total | 1,427,532 |
| Outcome | Adj. Year 1 Value (THB) | PV Year 1 | PV Year 2 | PV Year 3 | PV Year 4 | PV Year 5 | Total PV (THB) |
|---|---|---|---|---|---|---|---|
| O1—Water quality improvement | 641,250 | 610,714 | 581,632 | 553,935 | 527,557 | 502,436 | 2,776,274 |
| O2—Health risk reduction | 288,000 | 274,286 | 261,224 | 248,785 | 236,938 | 225,655 | 1,246,888 |
| O3—Sawdust diversion | 213,300 | 203,143 | 193,470 | 184,257 | 175,483 | 167,127 | 923,480 |
| O4—PP waste diversion | 42,160 | 40,152 | 38,240 | 36,419 | 34,685 | 33,033 | 182,529 |
| O5—Employment creation | 36,000 | 34,286 | 32,653 | 31,098 | 29,617 | 28,207 | 155,861 |
| O6—Skill development * | 19,440 | 18,514 | 15,860 | 13,586 | 11,640 | 9971 | 69,571 |
| O7—Carbon sequestration * | 3522 | 3354 | 2874 | 2463 | 2111 | 1809 | 12,611 |
| O8—Compliance-risk reduction * | 55,860 | 53,200 | 45,600 | 39,085 | 33,501 | 28,715 | 200,101 |
| O9—Knowledge generation * | 128,000 | 121,905 | 104,490 | 89,563 | 76,768 | 65,801 | 458,527 |
| Total | 1,427,532 | 1,359,553 | 1,276,043 | 1,199,191 | 1,128,300 | 1,062,754 | 6,025,841 |
| Scenario | Total PV Outcomes (THB) | Total Investment (THB) | SROI Ratio |
|---|---|---|---|
| Base–case (all outcomes, 5% discount rate) | 6,025,841 | 4,342,000 | 1.39:1 |
| Conservative (excluding O9: knowledge value) | 5,567,314 | 4,342,000 | 1.28:1 |
| Conservative (10% discount rate) | 4,892,000 | 4,342,000 | 1.13:1 |
| Optimistic (full O1 proxy value retained) | 6,570,000 | 4,342,000 | 1.51:1 |
| Environmental outcomes only (O3 + O4 + O7) | 1,118,620 | 4,342,000 | 0.26:1 |
| Social outcomes only (O1 + O2 + O5 + O6) | 4,248,594 | 4,342,000 | 0.98:1 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Kreetachat, T.; Khaowdang, S.; Imman, S.; Suriyachai, N.; Kreetachat, N.; Suwannahong, K.; Hongthong, S.; Wongcharee, S. Integrated Techno-Economic, Environmental Screening, and Social Return on Investment Analysis of Community-Scale Sawdust–Polypropylene Co-Pyrolysis for Heavy-Metal Adsorbent Production in Rural Area, Thailand. Energies 2026, 19, 3330. https://doi.org/10.3390/en19143330
Kreetachat T, Khaowdang S, Imman S, Suriyachai N, Kreetachat N, Suwannahong K, Hongthong S, Wongcharee S. Integrated Techno-Economic, Environmental Screening, and Social Return on Investment Analysis of Community-Scale Sawdust–Polypropylene Co-Pyrolysis for Heavy-Metal Adsorbent Production in Rural Area, Thailand. Energies. 2026; 19(14):3330. https://doi.org/10.3390/en19143330
Chicago/Turabian StyleKreetachat, Torpong, Suphalerk Khaowdang, Saksit Imman, Nopparat Suriyachai, Nathiya Kreetachat, Kowit Suwannahong, Sukanya Hongthong, and Surachai Wongcharee. 2026. "Integrated Techno-Economic, Environmental Screening, and Social Return on Investment Analysis of Community-Scale Sawdust–Polypropylene Co-Pyrolysis for Heavy-Metal Adsorbent Production in Rural Area, Thailand" Energies 19, no. 14: 3330. https://doi.org/10.3390/en19143330
APA StyleKreetachat, T., Khaowdang, S., Imman, S., Suriyachai, N., Kreetachat, N., Suwannahong, K., Hongthong, S., & Wongcharee, S. (2026). Integrated Techno-Economic, Environmental Screening, and Social Return on Investment Analysis of Community-Scale Sawdust–Polypropylene Co-Pyrolysis for Heavy-Metal Adsorbent Production in Rural Area, Thailand. Energies, 19(14), 3330. https://doi.org/10.3390/en19143330

