
BMP testingStraws and crop residues
Rice straw — BMP: 12 studies, weighted mean 262 m³ CH₄/t VS
Rice straw is an enormous waste stream in Asia, rich in silica and lignocellulose. Practically absent in Poland, it is important as a reference point in research on straws.
rating: goodCH₄ ≈ 52 % (estimate)
Photo 池田正樹 (talk) masaki ikeda / Wikimedia Commons, public domain, source file; changes: cropping
- Weighted mean
- 262m³ CH₄/t VS
- Range
- 167–367m³ CH₄/t VS
- Records
- 12studies
- Publications
- 7sources
- Temperatures
- 35 °C, 37 °C, 40 °Cof the test
Methane in biogas
Medium methane content · ≈ 5.2 kWh/m³ of biogas
estimate from the substrate type The collected studies contain no measurement. The interval follows from the approximate composition (protein from total nitrogen (N 0.9 % DM × 6.25)) and the yields of compound groups according to FNR.
Rating for biogas plants
good — editorial rating for biogas plantsStable, usually accepted without a fee
Potential per tonne of fresh matter: very high (205 m³ CH₄/t); no particular threats to stability. Handling costs: fibres, floating layer, slow degradation.
Why? Rating factors
Potential per tonne +3
- +3potential 205 m³ CH₄/t fresh matter (BMP 262 × DM 88.7 % × VS 88.2 %)
Process stability 0
- 0no factors
Handling and costs −1
- −0.5fibres, floating layer — shredding and intensive mixing
- −0.5slow degradation — long retention time
Total points: 2 · thresholds: ≥ 2.5 very good, ≥ 1 good, below — neutral; negative with cumulative process risk.
Add to the co-digestion calculator CSV data
BMP curves from 12 studies
Weighted mean Individual records
Dashed lines are a model curve (first-order kinetics, B(t) = B₀·(1 − e−kt)); the end point comes from the publication. All curves are model curves.
Cumulative methane production over the test [m³ CH₄/t VS]. The thick line is the weighted mean of all records (262); dots mark the end values given in the publications. Point at the chart to read values; click a legend item to hide or show a record.
Records and sources
Download CSV| Source | BMP m³ CH₄/t VS | Temperature | Sample | Curve |
|---|---|---|---|---|
| Saha et al. (2025) DOI | 167 | 35 °C · mesophilic | rice straw (RS), 100% | end point (model curve) |
| Chanakya i Malayil (2012) | 300 | 35 °C · mesophilic | (orig.: “rice straw”): value quoted in a literature review | end point (model curve) |
| Sharma et al. (1988) · 1 DOI | 241 | 37 °C · mesophilic | Rice · pretreatment: Material were first dried in the sun and then in an oven at 90oC | end point (model curve) |
| Sharma et al. (1988) · 2 DOI | 347 | 37 °C · mesophilic | Rice · pretreatment: Material were first dried in the sun and then in an oven at 90oC | end point (model curve) |
| Sharma et al. (1988) · 3 DOI | 358 | 37 °C · mesophilic | Rice · pretreatment: Material were first dried in the sun and then in an oven at 90oC | end point (model curve) |
| Sharma et al. (1988) · 4 DOI | 365 | 37 °C · mesophilic | Rice · pretreatment: Material were first dried in the sun and then in an oven at 90oC | end point (model curve) |
| Sharma et al. (1988) · 5 DOI | 367 | 37 °C · mesophilic | Rice · pretreatment: Material were first dried in the sun and then in an oven at 90oC | end point (model curve) |
| Dinuccio et al. (2010) DOI | 195 | 40 °C · mesophilic | Rice straw · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment) | end point (model curve) |
| Li et al. (2013) DOI | 281 | 37 °C · mesophilic | Rice Straw | end point (model curve) |
| López-Dávila et al. (2022) DOI | 358 | — | Rice straw | end point (model curve) |
| Menardo et al. (2012) · 1 DOI | 197 | 40 °C · mesophilic | Rice Straw | end point (model curve) |
| Menardo et al. (2012) · 2 DOI | 203 | 40 °C · mesophilic | Rice Straw · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment) | end point (model curve) |
| Weighted mean | 262 | arithmetic mean 282, SD 78 | ||
Typical composition
- Dry matter (DM)
- 88.7% (range 28.7–92.9)
- Volatile solids (VS)
- 88.2 % DM (range 79.4–91.9)
- Nitrogen
- 0.9 % DM
- C/N ratio
- 73.5
Median and range of the determinations reported in the publications behind this substrate's BMP records (read from: CROPGEN D4, MY-D); dry matter: 3 determinations, volatile solids: 4 determinations. The DM range includes fresh samples as well as samples partly dried or dried before the test – for fresh material the lower part of the range applies, ideally your own measurement.
Sources: Sharma et al. (1988); Dinuccio et al. (2010); Li et al. (2013); Menardo et al. (2012).
The composition of the raw material varies between batches — for plant calculations use an analysis of your own sample. The calculator inserts typical values automatically.
Process properties
Advantages
- Methane potential in the database: weighted mean 262 m³ CH₄/t VS (median 290; range 167–367; 12 records from 7 sources).
- Co-digestion with cattle and poultry faeces improves results (Saha 2025).
Drawbacks and risks
- Spread of results in the database: standard deviation 78 at a mean of 282 m³ CH₄/t VS (12 records from 7 sources).
Co-digestion — what to combine it with, what to watch out for
- combines well
group: Animal excreta (slurry, manure, poultry litter)
Cattle faeces and poultry excrement supply N and buffer (Saha 2025).[1]
Dosing
The sources do not give a share limit; Saha 2025 studied co-digestion with cattle manure and poultry excrement in various proportions (values in the paper).
Practical requirements
- Shred: shredding increases the surface available for degradation and speeds it up, but does not necessarily raise the final gas yield (FNR 2010, Ch. 3 “Triturado”).
Sources of the process data
- Saha, C.K.; Nime, J.; Khatun, M.L.; Sharna, T.H.; Alam, M.M. (2025) Rice straw co-digestion potential with cow dung and poultry droppings for maximizing biogas production in Bangladesh. Heliyon 11(4), e42687
- Chanakya, H.N.; Malayil, S. (2012) Anaerobic digestion for bioenergy from agro-residues and other solid wastes. An overview of science, technology and sustainability. Indian Journal of Agricultural Chemistry 92(1), 111–144
- Sharma, S.K.; Mishra, I.; Sharma, M.; Saini, J. (1988) Effect of particle size on biogas generation from biomass residues. Biomass 17(4), 251–263
- Dinuccio, E.; Balsari, P.; Gioelli, F.; Menardo, S. (2010) Evaluation of the biogas productivity potential of some Italian agro-industrial biomasses. Bioresource Technology 101(10), 3780–3783
- Hendriks, A.T.W.M.; Zeeman, G. (2009) Pretreatments to enhance the digestibility of lignocellulosic biomass. Bioresource Technology
- Li, Y.; Zhang, R.; Liu, G.; Chen, C.; He, Y.; Liu, X. (2013) Comparison of methane production potential, biodegradability, and kinetics of different organic substrates. Bioresource Technology 149, 565–569
- López-Dávila, E.; Jiménez Hernández, J.; López González, L.M.; Barrera Cardoso, E.L.; Bravo Amarante, E.; Contreras Velázquez, L.M.; Romero-Romero, O. (2022) Biochemical methane potential of agro-wastes as a renewable source alternative for electrical energy production in Cuba. Ciencia & Tecnología Agropecuaria 23(1)
- Menardo, S.; Airoldi, G.; Balsari, P. (2012) The effect of particle size and thermal pre-treatment on the methane yield of four agricultural by-products. Bioresource Technology 104, 708–714
- FNR (2010). Guía sobre el Biogás – Desde la producción hasta el uso (hiszp. wydanie „Leitfaden Biogas”, GIZ 2013)
The co-digestion calculator will assess a specific mixture containing this substrate.
What it is and where it comes from
Rice straw is the residue left after the harvest of rice (Oryza sativa), one of the most important crops in the world. In Asian countries it arises in enormous quantities, and its management is a problem, because burning in the field pollutes the air. Methane fermentation is one of the alternatives being studied. In Poland rice straw does not occur as a local waste, but papers about it form an important element of the literature on biogas from straws.
Properties relevant to digestion
A characteristic feature of rice straw is its high silica content, which increases the ash content and the abrasiveness for equipment and hinders microorganisms' access to polysaccharides. Apart from this, the straw consists of cellulose, hemicelluloses and lignin, and has a high C/N ratio and low protein content. The material is bulky, and without chopping it floats and forms scum. For this reason its pretreatment is often described in the literature, although the records in this dataset concern material without such treatment. The content of plant protection product residues depends on the growing region.
How to read the spread of results
The dataset contains records from different decades, from papers of the 1980s to studies from 2025, and a value quoted in a literature review, marked as secondary data. In one of the studies, fractions of different chopping were examined, which gives a series of records from the same source. The differences arise from rice variety, region, maturity at harvest, chopping, inoculum parameters, S/I ratio and temperature. The spread is therefore not only a characteristic of the material, but also the result of different methodology from many eras.
In biogas plant practice
For Polish plants, rice straw is not a practical substrate; its description is of comparative significance. In rice-growing countries, dry or wet fermentation with co-digestion of animal excreta is studied. The most important issues are chopping, nitrogen supplementation, scum control and periodic removal of mineral sediments from the bottom of the chamber. Harvesting and transporting a bulky material is costly, so profitability depends on the distance of the plant from the fields. Should interest in such a material arise in Polish conditions, for example through imports or in research, separate analyses of residues, ash and silica content, and your own BMP tests will be needed. Data from the literature show the order of magnitude well, but do not replace measurement.
Methodology in brief
BMP is the amount of methane obtained from volatile solids (VS) in a batch test, given in m³ CH₄ per tonne of VS (numerically the same as NmL CH₄/g VS in the publications) and converted to normal conditions (0 °C, 101.325 kPa). The weighted mean gives each publication a total weight of 1, split equally between its results for the substrate — a paper testing twenty varieties does not outweigh a paper with a single sample. In inter-laboratory programmes the unit is the laboratory (total weight 1), and within it the weight of a test grows with the number of bottles (replicates). Results after pretreatment (e.g. thermal, chemical, enzymatic) are shown separately and are not included in the mean.
Solid lines are curves measured in the tests. Where a publication gives only the final result, we draw a first-order kinetic model, B(t) = B₀·(1 − e−kt): only the end point comes from the publication, and the shape of the curve serves purely as visualisation — do not read the production on a particular day from it. For this substrate k = 0.136 d−1 was assumed (median of rate constants k reported in the sources and/or fitted to the mean measured curves).
The statistics describe the spread of published results — a descriptive compilation, not a meta-analysis or a guarantee of plant yield.
Results after pretreatment (2) — excluded from the mean
| Source | BMP m³ CH₄/t VS | Pretreatment | Sample |
|---|---|---|---|
| Menardo et al. (2012) | 207 | unspecified | Rice Straw |
| Menardo et al. (2012) | 261 | unspecified | Rice Straw |
Bibliography
- Saha, C.K.; Nime, J.; Khatun, M.L.; Sharna, T.H.; Alam, M.M. (2025). Rice straw co-digestion potential with cow dung and poultry droppings for maximizing biogas production in Bangladesh. Heliyon 11(4), e42687. DOI: 10.1016/j.heliyon.2025.e42687 DOI
- Chanakya, H.N.; Malayil, S. (2012). Anaerobic digestion for bioenergy from agro-residues and other solid wastes. An overview of science, technology and sustainability. Indian Journal of Agricultural Chemistry 92(1), 111–144.
- Sharma, S.K.; Mishra, I.; Sharma, M.; Saini, J. (1988). Effect of particle size on biogas generation from biomass residues. Biomass 17(4), 251–263. DOI: 10.1016/0144-4565(88)90107-2 DOI
- Dinuccio, E.; Balsari, P.; Gioelli, F.; Menardo, S. (2010). Evaluation of the biogas productivity potential of some Italian agro-industrial biomasses. Bioresource Technology 101(10), 3780–3783. DOI: 10.1016/j.biortech.2009.12.113 DOI
- Li, Y.; Zhang, R.; Liu, G.; Chen, C.; He, Y.; Liu, X. (2013). Comparison of methane production potential, biodegradability, and kinetics of different organic substrates. Bioresource Technology 149, 565–569. DOI: 10.1016/j.biortech.2013.09.063 DOI
- López-Dávila, E.; Jiménez Hernández, J.; López González, L.M.; Barrera Cardoso, E.L.; Bravo Amarante, E.; Contreras Velázquez, L.M.; Romero-Romero, O. (2022). Biochemical methane potential of agro-wastes as a renewable source alternative for electrical energy production in Cuba. Ciencia & Tecnología Agropecuaria 23(1). DOI: 10.21930/rcta.vol23_num1_art:1890 DOI
- Menardo, S.; Airoldi, G.; Balsari, P. (2012). The effect of particle size and thermal pre-treatment on the methane yield of four agricultural by-products. Bioresource Technology 104, 708–714. DOI: 10.1016/j.biortech.2011.10.061 DOI
All sources of the site: bibliography.





