Evaluating bioenergy pathways for sustainable rice straw utilization in Malaysia: A life cycle perspective

• Rice straw bioenergy pathways were evaluated using a harmonised cradle-to-gate LCA. • A feedstock-oriented functional unit enables consistent pathway comparison. • Pyrolysis shows the lowest environmental burdens among assessed technologies. • Fermentation exhibits the highest impacts, driven mainly by enzyme production. • Replacing open burning with valorisation pathways improves environmental performance. The urgent demand for sustainable energy has highlighted rice straw as a promising renewable feedstock for bioenergy. This study evaluates five technology pathways; combustion, gasification, pyrolysis, anaerobic digestion, and fermentation, using life cycle assessment (ReCiPe 2016, SimaPro v9.5.0.2). A cradle-to-gate boundary with a functional unit of 1 metric ton dry rice straw was applied. Results show fermentation has the highest environmental impacts, largely from enzyme production (35–97% across categories), while pyrolysis yields the lowest impacts due to reduced resource use and absence of high-temperature combustion. The avoided global warming potential from open burning reduction follows pyrolysis > anaerobic digestion > combustion > gasification > fermentation. Sensitivity analysis confirmed robustness and key influencing parameters. A conceptual framework was developed, highlighting success factors and recommendations for rice straw valorization in Malaysia. The study provides guidance for policymakers and industry in identifying sustainable bioenergy pathways, advancing cleaner energy transition.

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Publication Details

Journal
Resources Conservation and Recycling
Published
2026-02-05
DOI
https://doi.org/10.1016/j.resconrec.2026.108831
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
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article

Evaluating bioenergy pathways for sustainable rice straw utilization in Malaysia: A life cycle perspective

M. S. Hanafiah, Rihana Firdaus, Nurul Farhana Nasri, Siti Norliyana Harun
Resources Conservation and Recycling
Thermochemical Biomass Conversion Processes
article

Evaluating bioenergy pathways for sustainable rice straw utilization in Malaysia: A life cycle perspective

M. S. Hanafiah, Rihana Firdaus, Nurul Farhana Nasri, Siti Norliyana Harun
article en

Abstract

• Rice straw bioenergy pathways were evaluated using a harmonised cradle-to-gate LCA. • A feedstock-oriented functional unit enables consistent pathway comparison. • Pyrolysis shows the lowest environmental burdens among assessed technologies. • Fermentation exhibits the highest impacts, driven mainly by enzyme production. • Replacing open burning with valorisation pathways improves environmental performance. The urgent demand for sustainable energy has highlighted rice straw as a promising renewable feedstock for bioenergy. This study evaluates five technology pathways; combustion, gasification, pyrolysis, anaerobic digestion, and fermentation, using life cycle assessment (ReCiPe 2016, SimaPro v9.5.0.2). A cradle-to-gate boundary with a functional unit of 1 metric ton dry rice straw was applied. Results show fermentation has the highest environmental impacts, largely from enzyme production (35–97% across categories), while pyrolysis yields the lowest impacts due to reduced resource use and absence of high-temperature combustion. The avoided global warming potential from open burning reduction follows pyrolysis > anaerobic digestion > combustion > gasification > fermentation. Sensitivity analysis confirmed robustness and key influencing parameters. A conceptual framework was developed, highlighting success factors and recommendations for rice straw valorization in Malaysia. The study provides guidance for policymakers and industry in identifying sustainable bioenergy pathways, advancing cleaner energy transition.

Resources Conservation and RecyclingVol. 229
National University of Malaysia (MY)
Responsible consumption and production
Openalex Percentile: Top 65%
Thermochemical Biomass Conversion Processes
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