BMP testingAnimal excreta (slurry, manure, poultry litter)

Horse manure — BMP: 36 studies, weighted mean 156 m³ CH₄/t VS

Horse manure contains a lot of straw or sawdust and lignin, so it gives a moderate or low methane yield; the bedding and the age of the manure strongly affect the result.

rating: neutralCH₄ ≈ 52 % (estimate)

Published Updated 3 min readFeedstockData Editorial Team

Photo Rickjpelleg / Wikimedia Commons, licence CC BY-SA 4.0, source file; changes: cropping

Weighted mean
156m³ CH₄/t VS
Range
48–308m³ CH₄/t VS
Records
36studies
Publications
5sources
Temperatures
36 °C, 37 °C, 38 °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 1.1 % DM × 6.25)) and the yields of compound groups according to FNR.

How we calculate it and what the zones mean

Rating for biogas plants

neutral — editorial rating for biogas plantsNo clear advantages — worth charging a fee for accepting it

Potential per tonne of fresh matter: moderate (35 m³ CH₄/t); no particular threats to stability. Handling costs: sand, stones, shells, fibres, floating layer, slow degradation.

Why? Rating factors

Potential per tonne +1

  • +1potential 35 m³ CH₄/t fresh matter (BMP 156 × DM 25.7 % × VS 88.1 %)

Process stability 0

  • 0no factors

Handling and costs −1.5

  • −0.5sand, stones, shells — sediment in the digester
  • −0.5fibres, floating layer — shredding and intensive mixing
  • −0.5slow degradation — long retention time

Total points: −0.5 · thresholds: ≥ 2.5 very good, ≥ 1 good, below — neutral; negative with cumulative process risk.

Editorial rating per the methodology · confidence of the rating: high · excluding market prices

Add to the co-digestion calculator CSV data

BMP curves from 36 studies

Weighted mean Individual records

BMP curves: Horse manureCumulative methane production over time for 36 records and the weighted mean of 156 m³ CH₄/t VS. 36 of the curves are model curves (first-order kinetics).0100200300400051015202530time [d]m³ CH₄/t VSKafle i Chen (2016): 148 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 1: 183 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 2: 238 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 3: 241 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 4: 251 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 5: 258 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 6: 281 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 7: 308 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 1: 88 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 2: 102 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 3: 104 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 4: 114 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 5: 118 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 6: 128 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 7: 137 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 8: 150 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 9: 151 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 10: 153 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 11: 161 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 12: 163 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 13: 164 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 14: 173 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 15: 175 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 16: 176 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 17: 179 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 18: 180 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 19: 181 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 20: 187 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 21: 191 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 22: 196 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 23: 208 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 24: 212 m³ CH₄/t VS (model curve)Mönch-Tegeder et al. (2013) · 25: 215 m³ CH₄/t VS (model curve)Naji et al. (2023): 147 m³ CH₄/t VS (model curve)Pyykkönen et al. (2023) · 1: 48 m³ CH₄/t VS (model curve)Pyykkönen et al. (2023) · 2: 93 m³ CH₄/t VS (model curve)mean156

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 (156); 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.

  • Show the remaining records in the legend (24)

Records and sources

Download CSV
SourceBMP
m³ CH₄/t VS
TemperatureSampleCurve
Kafle i Chen (2016) DOI14836 °C · mesophilichorse manureend point (model curve)
Lallement et al. (2023) · 1 DOI18338 °C · mesophilicHorse manureend point (model curve)
Lallement et al. (2023) · 2 DOI23838 °C · mesophilicHorse manureend point (model curve)
Lallement et al. (2023) · 3 DOI24138 °C · mesophilichorse manureend point (model curve)
Lallement et al. (2023) · 4 DOI25138 °C · mesophilichorse manureend point (model curve)
Lallement et al. (2023) · 5 DOI25838 °C · mesophilicHorse manureend point (model curve)
Lallement et al. (2023) · 6 DOI28138 °C · mesophilicHorse manureend point (model curve)
Lallement et al. (2023) · 7 DOI30838 °C · mesophilicHorse manureend point (model curve)
Mönch-Tegeder et al. (2013) · 18837 °C · mesophilicstored horse Manure with flax beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 210237 °C · mesophilicstored horse Manure with Wood-pellets beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 310437 °C · mesophilicfresh horse Manure with Wood-pellets beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 411437 °C · mesophilicfresh horse Manure withsawdust beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 511837 °C · mesophilicstored horse Manure with Straw/flax beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 612837 °C · mesophilicstored horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 713737 °C · mesophilicstored horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 815037 °C · mesophilicfresh horse Manure with flax beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 915137 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1015337 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1116137 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1216337 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1316437 °C · mesophilicfresh horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 1417337 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1517537 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1617637 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1717937 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 1818037 °C · mesophilicfresh horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 1918137 °C · mesophilicstored horse Manure with Straw-pellets beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 2018737 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 2119137 °C · mesophilichorse dungend point (model curve)
Mönch-Tegeder et al. (2013) · 2219637 °C · mesophilicstored horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 2320837 °C · mesophilicfresh horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 2421237 °C · mesophilicfresh horse Manure with Straw beddingend point (model curve)
Mönch-Tegeder et al. (2013) · 2521537 °C · mesophilicfresh horse Manure with Straw/flax beddingend point (model curve)
Naji et al. (2023) DOI147—Horse manure (HM)end point (model curve)
Pyykkönen et al. (2023) · 1 DOI4837 °C · mesophilicHorse manure (pilot FB+HM)end point (model curve)
Pyykkönen et al. (2023) · 2 DOI9337 °C · mesophilicHorse manure with sawdust bedding (farm)end point (model curve)
Weighted mean156arithmetic mean 172, SD 56

Typical composition

Dry matter (DM)
25.7% (range 8–81.6)
Volatile solids (VS)
88.1 % DM (range 66–92.3)
Nitrogen
1.1 % DM
C/N ratio
51

Median and range of the determinations reported in the publications behind this substrate's BMP records (read from: MY-D); dry matter: 33 determinations, volatile solids: 29 determinations. C/N was calculated as the ratio of C and N content (% DM) from the same source. 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: Kafle et al. (2016); Lallement et al. (2023); Mönch-Tegeder et al. (2013).

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

  • fibrous
  • high dry matter
  • slowly degrading
  • sand and sediment
  • forms a floating layer
  • editorial classification

Advantages

  • Methane potential in the Substraty.pl BMP dataset: weighted mean 155.5 m³ CH₄/t VS (SD 56.0; 36 records, 5 sources).
  • Considerable energy potential per tonne with well-chosen bedding (Hadin and Eriksson 2016).

Drawbacks and risks

  • The type and amount of bedding (sawdust, straw) is the key factor determining yield (Hadin and Eriksson 2016).
  • Fibres cause a floating crust and pump clogging; sand in stables.

Co-digestion — what to combine it with, what to watch out for

Dosing

No source-based threshold; use shredded, do not exceed the mixing limitations.

Practical requirements

  • ABP cat. 2 (Art. 9 of Reg. 1069/2009): manure, slurry and digestive tract content may be digested without prior sterilisation if the authority does not recognise a risk of spreading a serious transmissible disease (Art. 13(e)(ii)); in that case a minimum of 70 °C for a minimum of 60 min applies (Reg. 142/2011, Annex V Ch. III Section 1), and where they are the only material of animal origin in the installation, the authority may approve other requirements (Section 2 point 3).
  • 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”).
  • Provide for removal of sand and heavy contaminants: sand is often strongly bound to organic matter and is released only in the digester, and sediments reduce its usable capacity, so a scraper or bottom drain is needed (FNR 2010, Ch. 3).

The co-digestion calculator will assess a specific mixture containing this substrate.

What it is and where it comes from

Horse manure arises in stables, riding centres and farms keeping horses. It consists of excreta and bedding: straw, sawdust or wood shavings. In Poland horses are kept in small herds, so horse manure is sometimes available in regions with a large number of stables, but is rarely the main biomass of a biogas plant. The dataset contains many records, including variants with different types of bedding and tests at several mesophilic temperatures.

Properties relevant to digestion

Horses are herbivores with fermentation in the caecum and colon, and their excreta contain a lot of undigested fibre. Manure is therefore rich in cellulose and lignin, and the bedding (especially sawdust) increases the share of hard-to-degrade material. The dry matter content is relatively high, and there is less nitrogen than in pig or poultry excreta. The fibrous structure can cause a floating crust and block pumps, so the material requires shredding. In stables, sand and hay residues often end up in the manure.

How to read the spread of results

The spread in the dataset is large. The main factors are the type of bedding (straw or sawdust), its amount, the feed (hay, oats, haylage), the age of the manure (fresh or stored/composted), and comminution. Manure stored in a clamp loses some of the readily available substances. In addition, the inoculum, temperature, substrate-to-inoculum ratio and test duration have an effect, and the large number of records from some studies may dominate the picture of the dataset.

In biogas plant practice

Horse manure is a difficult substrate: it requires shredding, a long retention time and good mixing. It is best combined with liquid and more readily degradable substrates. Accepting manure with sawdust reduces efficiency, so it is worth agreeing the type of bedding with the supplier. On the farm manure is a natural fertiliser, and in the context of ABP it is category 2 material, which may be used in a biogas plant under the conditions set out in EU and national regulations.

For comparison with cattle manure, horse manure is usually drier and more fibrous, so in the same installation it gives a lower yield. However, if the material has to be managed anyway, digestion is one of the alternatives alongside composting.

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 = 0.393 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.

Full methodology and correction policy

Bibliography

  1. Kafle, G.K.; Chen, L. (2016). Comparison on batch anaerobic digestion of five different livestock manures and prediction of biochemical methane potential (BMP) using different statistical models. Waste Management 48, 492–502. DOI: 10.1016/j.wasman.2015.10.021 DOI
  2. Lallement, A.; Peyrelasse, C.; Lagnet, C.; Barakat, A.; Schraauwers, B.; Maunas, S.; Monlau, F. (2023). A Detailed Database of the Chemical Properties and Methane Potential of Biomasses Covering a Large Range of Common Agricultural Biogas Plant Feedstocks. Waste 1(1), 195–227. DOI: 10.3390/waste1010014 DOI
  3. Mönch-Tegeder, M.; Lemmer, A.; Oechsner, H.; Jungbluth, T. (2013). Investigation of the methane potential of horse manure. Agricultural Engineering International: CIGR Journal 15(2).
  4. Naji, A.; Rechdaoui, S.G.; Jabagi, E.; Lacroix, C.; Azimi, S.; Rocher, V. (2023). Horse Manure and Lignocellulosic Biomass Characterization as Methane Production Substrates. Fermentation 9(6), 580. DOI: 10.3390/fermentation9060580 DOI
  5. Pyykkönen, V.; Winquist, E.; Seppänen, A.M.; Vainio, M.; Virkkunen, E.; Koppelmäki, K.; Rasi, S. (2023). Anaerobic Digestion of Solid Agricultural Biomass in Leach-Bed Reactors. Bioengineering 10(4), 433. DOI: 10.3390/bioengineering10040433 DOI

All sources of the site: bibliography.