BMP testingGrasses, green forage and fodder plants

Grass (fresh and silage) — BMP: 145 studies, weighted mean 345 m³ CH₄/t VS

Grasses from grassland, fresh or ensiled, are one of the best-studied agricultural substrates. The result depends on species composition, cutting date and intensity of use.

rating: goodCH₄ ≈ 53 % (estimate)

Published Updated 3 min readFeedstockData Editorial Team

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

Weighted mean
345m³ CH₄/t VS
Range
164–479m³ CH₄/t VS
Records
145studies
Publications
7sources
Temperatures
36 °C, 37 °C, 38 °C, 39 °C, 55 °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 1.4 % 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

good — editorial rating for biogas plantsStable, usually accepted without a fee

Potential per tonne of fresh matter: high (68 m³ CH₄/t); no particular threats to stability. Handling costs: fibres, floating layer.

Why? Rating factors

Potential per tonne +2

  • +2potential 68 m³ CH₄/t fresh matter (BMP 345 × DM 21.6 % × VS 90.7 %)

Process stability 0

  • 0no factors

Handling and costs −0.5

  • −0.5fibres, floating layer — shredding and intensive mixing

Total points: 1.5 · 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 145 studies

Weighted mean Individual records

BMP curves: Grass (fresh and silage)Cumulative methane production over time for 145 records and the weighted mean of 345 m³ CH₄/t VS. 145 of the curves are model curves (first-order kinetics).02004006000510152025303540time [d]m³ CH₄/t VSBuffiere et al. (2006): 388 m³ CH₄/t VS (model curve)Cu et al. (2014): 220 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 1: 314 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 2: 317 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 3: 323 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 4: 326 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 5: 329 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 6: 331 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 7: 332 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 8: 336 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 9: 340 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 10: 341 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 11: 342 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 12: 345 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 13: 346 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 14: 347 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 15: 355 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 16: 359 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 17: 360 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 18: 362 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 19: 364 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 20: 368 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 21: 369 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 22: 371 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 23: 372 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 24: 374 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 25: 376 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 26: 380 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 27: 382 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 28: 385 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 29: 388 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 30: 389 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 31: 394 m³ CH₄/t VS (model curve)Dandikas et al. (2015) · 32: 422 m³ CH₄/t VS (model curve)Kaiser (2007) · 1: 164 m³ CH₄/t VS (model curve)Kaiser (2007) · 2: 198 m³ CH₄/t VS (model curve)Kaiser (2007) · 3: 199 m³ CH₄/t VS (model curve)Kaiser (2007) · 4: 200 m³ CH₄/t VS (model curve)Kaiser (2007) · 5: 201 m³ CH₄/t VS (model curve)Kaiser (2007) · 6: 203 m³ CH₄/t VS (model curve)Kaiser (2007) · 7: 204 m³ CH₄/t VS (model curve)Kaiser (2007) · 8: 206 m³ CH₄/t VS (model curve)Kaiser (2007) · 9: 209 m³ CH₄/t VS (model curve)Kaiser (2007) · 10: 210 m³ CH₄/t VS (model curve)Kaiser (2007) · 11: 212 m³ CH₄/t VS (model curve)Kaiser (2007) · 12: 215 m³ CH₄/t VS (model curve)Kaiser (2007) · 13: 217 m³ CH₄/t VS (model curve)Kaiser (2007) · 14: 219 m³ CH₄/t VS (model curve)Kaiser (2007) · 15: 221 m³ CH₄/t VS (model curve)Kaiser (2007) · 16: 226 m³ CH₄/t VS (model curve)Kaiser (2007) · 17: 233 m³ CH₄/t VS (model curve)Kaiser (2007) · 18: 234 m³ CH₄/t VS (model curve)Kaiser (2007) · 19: 237 m³ CH₄/t VS (model curve)Kaiser (2007) · 20: 238 m³ CH₄/t VS (model curve)Kaiser (2007) · 21: 242 m³ CH₄/t VS (model curve)Kaiser (2007) · 22: 243 m³ CH₄/t VS (model curve)Kaiser (2007) · 23: 244 m³ CH₄/t VS (model curve)Kaiser (2007) · 24: 245 m³ CH₄/t VS (model curve)Kaiser (2007) · 25: 249 m³ CH₄/t VS (model curve)Kaiser (2007) · 26: 252 m³ CH₄/t VS (model curve)Kaiser (2007) · 27: 255 m³ CH₄/t VS (model curve)Kaiser (2007) · 28: 256 m³ CH₄/t VS (model curve)Kaiser (2007) · 29: 257 m³ CH₄/t VS (model curve)Kaiser (2007) · 30: 258 m³ CH₄/t VS (model curve)Kaiser (2007) · 31: 259 m³ CH₄/t VS (model curve)Kaiser (2007) · 32: 261 m³ CH₄/t VS (model curve)Kaiser (2007) · 33: 264 m³ CH₄/t VS (model curve)Kaiser (2007) · 34: 266 m³ CH₄/t VS (model curve)Kaiser (2007) · 35: 267 m³ CH₄/t VS (model curve)Kaiser (2007) · 36: 268 m³ CH₄/t VS (model curve)Kaiser (2007) · 37: 269 m³ CH₄/t VS (model curve)Kaiser (2007) · 38: 270 m³ CH₄/t VS (model curve)Kaiser (2007) · 39: 276 m³ CH₄/t VS (model curve)Kaiser (2007) · 40: 277 m³ CH₄/t VS (model curve)Kaiser (2007) · 41: 278 m³ CH₄/t VS (model curve)Kaiser (2007) · 42: 279 m³ CH₄/t VS (model curve)Kaiser (2007) · 43: 282 m³ CH₄/t VS (model curve)Kaiser (2007) · 44: 283 m³ CH₄/t VS (model curve)Kaiser (2007) · 45: 286 m³ CH₄/t VS (model curve)Kaiser (2007) · 46: 288 m³ CH₄/t VS (model curve)Kaiser (2007) · 47: 291 m³ CH₄/t VS (model curve)Kaiser (2007) · 48: 294 m³ CH₄/t VS (model curve)Kaiser (2007) · 49: 294 m³ CH₄/t VS (model curve)Kaiser (2007) · 50: 297 m³ CH₄/t VS (model curve)Kaiser (2007) · 51: 298 m³ CH₄/t VS (model curve)Kaiser (2007) · 52: 300 m³ CH₄/t VS (model curve)Kaiser (2007) · 53: 302 m³ CH₄/t VS (model curve)Kaiser (2007) · 54: 303 m³ CH₄/t VS (model curve)Kaiser (2007) · 55: 304 m³ CH₄/t VS (model curve)Kaiser (2007) · 56: 308 m³ CH₄/t VS (model curve)Kaiser (2007) · 57: 310 m³ CH₄/t VS (model curve)Kaiser (2007) · 58: 312 m³ CH₄/t VS (model curve)Kaiser (2007) · 59: 313 m³ CH₄/t VS (model curve)Kaiser (2007) · 60: 314 m³ CH₄/t VS (model curve)Kaiser (2007) · 61: 315 m³ CH₄/t VS (model curve)Kaiser (2007) · 62: 316 m³ CH₄/t VS (model curve)Kaiser (2007) · 63: 317 m³ CH₄/t VS (model curve)Kaiser (2007) · 64: 318 m³ CH₄/t VS (model curve)Kaiser (2007) · 65: 318 m³ CH₄/t VS (model curve)Kaiser (2007) · 66: 320 m³ CH₄/t VS (model curve)Kaiser (2007) · 67: 321 m³ CH₄/t VS (model curve)Kaiser (2007) · 68: 326 m³ CH₄/t VS (model curve)Kaiser (2007) · 69: 327 m³ CH₄/t VS (model curve)Kaiser (2007) · 70: 329 m³ CH₄/t VS (model curve)Kaiser (2007) · 71: 331 m³ CH₄/t VS (model curve)Kaiser (2007) · 72: 332 m³ CH₄/t VS (model curve)Kaiser (2007) · 73: 333 m³ CH₄/t VS (model curve)Kaiser (2007) · 74: 335 m³ CH₄/t VS (model curve)Kaiser (2007) · 75: 338 m³ CH₄/t VS (model curve)Kaiser (2007) · 76: 340 m³ CH₄/t VS (model curve)Kaiser (2007) · 77: 342 m³ CH₄/t VS (model curve)Kaiser (2007) · 78: 342 m³ CH₄/t VS (model curve)Kaiser (2007) · 79: 346 m³ CH₄/t VS (model curve)Kaiser (2007) · 80: 350 m³ CH₄/t VS (model curve)Kaiser (2007) · 81: 353 m³ CH₄/t VS (model curve)Kaiser (2007) · 82: 356 m³ CH₄/t VS (model curve)Kaiser (2007) · 83: 358 m³ CH₄/t VS (model curve)Kaiser (2007) · 84: 359 m³ CH₄/t VS (model curve)Kaiser (2007) · 85: 362 m³ CH₄/t VS (model curve)Kaiser (2007) · 86: 363 m³ CH₄/t VS (model curve)Kaiser (2007) · 87: 366 m³ CH₄/t VS (model curve)Kaiser (2007) · 88: 367 m³ CH₄/t VS (model curve)Kaiser (2007) · 89: 370 m³ CH₄/t VS (model curve)Kaiser (2007) · 90: 371 m³ CH₄/t VS (model curve)Kaiser (2007) · 91: 372 m³ CH₄/t VS (model curve)Kaiser (2007) · 92: 374 m³ CH₄/t VS (model curve)Kaiser (2007) · 93: 376 m³ CH₄/t VS (model curve)Kaiser (2007) · 94: 380 m³ CH₄/t VS (model curve)Kaiser (2007) · 95: 382 m³ CH₄/t VS (model curve)Kaiser (2007) · 96: 390 m³ CH₄/t VS (model curve)Kaiser (2007) · 97: 393 m³ CH₄/t VS (model curve)Kaiser (2007) · 98: 398 m³ CH₄/t VS (model curve)Kaiser (2007) · 99: 417 m³ CH₄/t VS (model curve)Kaiser (2007) · 100: 424 m³ CH₄/t VS (model curve)Kaiser (2007) · 101: 443 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 1: 187 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 2: 264 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 3: 393 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 4: 403 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 5: 406 m³ CH₄/t VS (model curve)Lallement et al. (2023) · 6: 461 m³ CH₄/t VS (model curve)Luna-delRisco et al. (2011) · 1: 300 m³ CH₄/t VS (model curve)Luna-delRisco et al. (2011) · 2: 319 m³ CH₄/t VS (model curve)Luna-delRisco et al. (2011) · 3: 338 m³ CH₄/t VS (model curve)Ravindran et al. (2022): 479 m³ CH₄/t VS (model curve)mean345

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 (345); 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 (133)

Records and sources

Download CSV
SourceBMP
m³ CH₄/t VS
TemperatureSampleCurve
Buffiere et al. (2006) DOI38855 °C · thermophilicGrassend point (model curve)
Cu et al. (2014) DOI22037 °C · mesophilicgrassend point (model curve)
Dandikas et al. (2015) · 1 DOI31439 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 2 DOI31739 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 3 DOI32339 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 4 DOI32639 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 5 DOI32939 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 6 DOI33139 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 7 DOI33239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 8 DOI33639 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 9 DOI34039 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 10 DOI34139 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 11 DOI34239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 12 DOI34539 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 13 DOI34639 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 14 DOI34739 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 15 DOI35539 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 16 DOI35939 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 17 DOI36039 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 18 DOI36239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 19 DOI36439 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 20 DOI36839 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 21 DOI36939 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 22 DOI37139 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 23 DOI37239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 24 DOI37439 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 25 DOI37639 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 26 DOI38039 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 27 DOI38239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 28 DOI38539 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 29 DOI38839 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 30 DOI38939 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 31 DOI39439 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Dandikas et al. (2015) · 32 DOI42239 °C · mesophilicgrass · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Kaiser (2007) · 116437 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 219837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 319937 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 420037 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 520137 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 620337 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 720437 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 820637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 920937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1021037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1121237 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 1221537 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 1321737 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1421937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1522137 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1622637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1723337 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1823437 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 1923737 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 2023837 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2124237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2224337 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2324437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 2424537 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 2524937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2625237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2725537 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2825637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 2925737 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3025837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3125937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 3226137 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3326437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3426637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3526737 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3626837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 3726937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 3827037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 3927637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 4027737 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4127837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4227937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 4328237 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4428337 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4528637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4628837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4729137 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 4829437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 4929437 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5029737 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5129837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 5230037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5330237 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 5430337 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5530437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 5630837 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5731037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5831237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 5931337 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6031437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6131537 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 6231637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6331737 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 6431837 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 6531837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6632037 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6732137 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 6832637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 6932737 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7032937 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7133137 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7233237 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 7333337 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 7433537 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7533837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 7634037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7734237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7834237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 7934637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 8035037 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 8135337 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 8235637 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 8335837 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 8435937 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 8536237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 8636337 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 8736637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 8836737 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 8937037 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 9037137 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9137237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9237437 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 9337637 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 9438037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9538237 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9639037 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9739337 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 9839837 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 9941737 °C · mesophilicfresh grassend point (model curve)
Kaiser (2007) · 10042437 °C · mesophilicgrass silageend point (model curve)
Kaiser (2007) · 10144337 °C · mesophilicgrass silageend point (model curve)
Lallement et al. (2023) · 1 DOI18738 °C · mesophilicGrassend point (model curve)
Lallement et al. (2023) · 2 DOI26438 °C · mesophilicGrassend point (model curve)
Lallement et al. (2023) · 3 DOI39338 °C · mesophilicGrassend point (model curve)
Lallement et al. (2023) · 4 DOI40338 °C · mesophilicGrassend point (model curve)
Lallement et al. (2023) · 5 DOI40638 °C · mesophilicGrassend point (model curve)
Lallement et al. (2023) · 6 DOI46138 °C · mesophilicGrassend point (model curve)
Luna-delRisco et al. (2011) · 130036 °C · mesophilicgrass silage · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Luna-delRisco et al. (2011) · 231936 °C · mesophilicgrass silage · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Luna-delRisco et al. (2011) · 333836 °C · mesophilicgrass silage · pretreatment: particle size reduction/sample preparation (MY-D: physical treatment)end point (model curve)
Ravindran et al. (2022) DOI479—Grass Silageend point (model curve)
Weighted mean345arithmetic mean 314, SD 63

Typical composition

Dry matter (DM)
21.6% (range 10.7–94)
Volatile solids (VS)
90.7 % DM (range 78–95.2)
Nitrogen
1.4 % DM
C/N ratio
32.1

Median and range of the determinations reported in the publications behind this substrate's BMP records (read from: MY-D); dry matter: 130 determinations, volatile solids: 125 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: Cu et al. (2014); Dandikas et al. (2015); Kaiser (2007); Lallement et al. (2023); Luna-delRisco et al. (2011).

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

  • seasonal
  • fibrous
  • variable composition
  • editorial classification

Advantages

  • Methane potential in the database: weighted mean 345 m³ CH₄/t VS (median 320; range 164–479; 145 records from 7 sources).
  • Dandikas 2015 links yield to the chemical composition of meadow species — the result can be predicted from compositional analysis.

Drawbacks and risks

  • Yield depends on species, mowing date and composition (Dandikas 2015, Kaiser 2007), so the spread is large.
  • Ensiling and additives affect yield (Herrmann 2011).

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

Dosing

No source-based dose limits; Lehtomäki 2007 studies the effect of the grass/crop to manure ratio.

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”).
  • Ensiling makes it possible to store seasonal biomass; properly ensiled plants (in the study maize, sorghum, forage rye, triticale) can be stored for up to a year without loss of methane production (Herrmann et al. 2011).

Sources of the process data

  1. Dandikas, V.; Heuwinkel, H.; Lichti, F.; Drewes, J.E.; Koch, K. (2015) Correlation between Biogas Yield and Chemical Composition of Grassland Plant Species. Energy & Fuels 29(11), 7221–7229
  2. Weiland, P. (2010) Biogas production: current state and perspectives. Applied Microbiology and Biotechnology
  3. Herrmann, C. et al. (2016) Biogas crops grown in energy crop rotations: Linking chemical composition and methane production characteristics. Bioresource Technology
  4. Buffiere, P.; Loisel, D.; Bernet, N.; Delgenes, J.P. (2006) Towards new indicators for the prediction of solid waste anaerobic digestion properties. Water Science and Technology 53(8), 233–241
  5. Cu, T.T.T.; Nguyen, T.X.; Triolo, J.M.; Pedersen, L.; Le, V.D.; Le, P.D.; Sommer, S.G. (2014) Biogas Production from Vietnamese Animal Manure, Plant Residues and Organic Waste: Influence of Biomass Composition on Methane Yield. Asian-Australasian Journal of Animal Sciences 28(2), 280–289
  6. Herrmann, C. et al. (2011) Effects of ensiling, silage additives and storage period on methane formation of biogas crops. Bioresource Technology
  7. Kaiser, F.L. (2007) Einfluss der stofflichen Zusammensetzung auf die Verdaulichkeit nachwachsender Rohstoffe beim anaeroben Abbau in Biogasreaktoren. Dissertation, Technische Universität München, Wissenschaftszentrum Weihenstephan
  8. 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
  9. Luna-delRisco, M.; Normak, A.; Orupõld, K. (2011) Biochemical methane potential of different organic wastes and energy crops from Estonia. Agronomy Research 9(1–2), 331–342
  10. Ravindran, R.; Donkor, K.; Gottumukkala, L.; Menon, A.; Guneratnam, A.J.; McMahon, H.; Koopmans, S.; Sanders, J.P.M.; Gaffey, J. (2022) Biogas, Biomethane and Digestate Potential of By-Products from Green Biorefinery Systems. Clean Technologies 4(1), 35–50
  11. 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

Grassland grasses are the biomass of permanent meadows and pastures, mown several times a season. Green forage is sometimes ensiled as silage or haylage (wilted), and in other variants dried as hay. In Poland grassland occupies a significant part of the agricultural area, and some of it is used extensively, so surplus grass is sometimes considered for biogas plants. The compilation combines several studies (over a hundred records) and covers fresh grasses and silages, as well as studies of species and cutting dates.

Properties relevant to digestion

Grasses have a moderate protein content and a significant amount of fibre. Digestibility is highest for young green forage, and falls as heading and maturation proceed, with rising lignin content. Ensiling grasses is usually easier than ensiling legumes owing to the higher sugar content. Silage keeps well if it is tightly covered and adequately compacted. The drawbacks are contamination with soil and molehills, and, in the digester, a tendency to form a floating crust with a large share of long fibre. Shredding improves the operation of feeding and mixing systems.

How to read the spread of results

This is the most numerously represented substrate in the compilation, with records from different countries and temperatures: from mesophilic to a single thermophilic result. The spread results from the botanical composition of the sward, the cut number, the growth stage, fertilisation, the method of preservation (green forage, silage, hay) and particle size. In addition there are differences in inoculum, substrate-to-inoculum ratio, test length and gas measurement method. Some studies examine many grass species separately, which widens the range of results without indicating measurement uncertainty.

In biogas plant practice

Grass silage is sometimes an important element of the mix on farms with a large share of grassland, especially as a supplement to or replacement for part of the maize silage. The first cut is often more valuable for animals, and later or lower-quality cuts may go to the biogas plant. What matters is harvesting at the right stage, rapid ensiling, control of soil contamination and regular deliveries. The costs of harvesting and possible restrictions related to the use of protected areas must also be borne in mind. It is worth linking one's own BMP test to the cutting date.

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 = 0.091 d−1 was assumed (no kinetic data for the group – the median of all available rate constants k (93 values) was used).

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. Buffiere, P.; Loisel, D.; Bernet, N.; Delgenes, J.P. (2006). Towards new indicators for the prediction of solid waste anaerobic digestion properties. Water Science and Technology 53(8), 233–241. DOI: 10.2166/wst.2006.254 DOI
  2. Cu, T.T.T.; Nguyen, T.X.; Triolo, J.M.; Pedersen, L.; Le, V.D.; Le, P.D.; Sommer, S.G. (2014). Biogas Production from Vietnamese Animal Manure, Plant Residues and Organic Waste: Influence of Biomass Composition on Methane Yield. Asian-Australasian Journal of Animal Sciences 28(2), 280–289. DOI: 10.5713/ajas.14.0312 DOI
  3. Dandikas, V.; Heuwinkel, H.; Lichti, F.; Drewes, J.E.; Koch, K. (2015). Correlation between Biogas Yield and Chemical Composition of Grassland Plant Species. Energy & Fuels 29(11), 7221–7229. DOI: 10.1021/acs.energyfuels.5b01257 DOI
  4. Kaiser, F.L. (2007). Einfluss der stofflichen Zusammensetzung auf die Verdaulichkeit nachwachsender Rohstoffe beim anaeroben Abbau in Biogasreaktoren. Dissertation, Technische Universität München, Wissenschaftszentrum Weihenstephan. https://mediatum.ub.tum.de/631394 source
  5. 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
  6. Luna-delRisco, M.; Normak, A.; Orupõld, K. (2011). Biochemical methane potential of different organic wastes and energy crops from Estonia. Agronomy Research 9(1–2), 331–342. https://www.semanticscholar.org/paper/25cf2d7bba4758136830a9a02caf3ecd997173bb source
  7. Ravindran, R.; Donkor, K.; Gottumukkala, L.; Menon, A.; Guneratnam, A.J.; McMahon, H.; Koopmans, S.; Sanders, J.P.M.; Gaffey, J. (2022). Biogas, Biomethane and Digestate Potential of By-Products from Green Biorefinery Systems. Clean Technologies 4(1), 35–50. DOI: 10.3390/cleantechnol4010003 DOI

All sources of the site: bibliography.