BMP testingFruit, vegetables and their residues

Zucchini and vegetable marrow — BMP: 4 studies, weighted mean 309 m³ CH₄/t VS

Courgette and marrow (Cucurbita pepo) are very watery cucurbit vegetables; waste from cultivation and processing is readily fermentable, but has a low dry matter content.

CH₄ ≈ 52 % (estimate)

Published Updated 3 min readFeedstockData Editorial Team

Photo nociveglia from Appennino Emiliano, Italy / Wikimedia Commons, licence CC BY 2.0, source file; changes: cropping

Weighted mean
309m³ CH₄/t VS
Range
263–344m³ CH₄/t VS
Records
4studies
Publications
2sources
Temperatures
35 °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 (carbohydrate-dominated (no protein or fat characteristics)) and the yields of compound groups according to FNR.

How we calculate it and what the zones mean

Rating for biogas plants

not rated — editorial rating for biogas plants

Not rated: no dry matter or volatile solids in the data. We calculate the rating when the dry matter and volatile solids of the material are known.

Editorial rating per the methodology

Add to the co-digestion calculator CSV data

BMP curves from 4 studies

Weighted mean Individual records

BMP curves: Zucchini and vegetable marrowCumulative methane production over time for 4 records and the weighted mean of 309 m³ CH₄/t VS. 4 of the curves are model curves (first-order kinetics).0100200300400051015202530time [d]m³ CH₄/t VSDubrovskis i Plume (2017) · 1: 263 m³ CH₄/t VS (model curve)Dubrovskis i Plume (2017) · 2: 279 m³ CH₄/t VS (model curve)Dubrovskis i Plume (2017) · 3: 280 m³ CH₄/t VS (model curve)Kouas et al. (2017): 344 m³ CH₄/t VS (model curve)mean309

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 (309); 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
SourceBMP
m³ CH₄/t VS
TemperatureSampleCurve
Dubrovskis i Plume (2017) · 126338 °C · mesophilicVegetable marrow biomass, bioreactor R11end point (model curve)
Dubrovskis i Plume (2017) · 227938 °C · mesophilicVegetable marrow biomass, bioreactor R12end point (model curve)
Dubrovskis i Plume (2017) · 328038 °C · mesophilicVegetable marrow biomass, bioreactor R10end point (model curve)
Kouas et al. (2017) DOI34435 °C · mesophiliczucchiniend point (model curve)
Weighted mean309arithmetic mean 292, SD 36

Process properties

Low confidence: the description is based on general characteristics of the substrate group, not on studies of this material. Treat it as a hint to be verified.

No published process studies

The literature we use does not describe the advantages or drawbacks of digesting this substrate beyond the BMP test results. Below are process characteristics assigned on the basis of the type of material — an editorial classification, not a study result.

easily degradable
sugars, starch, glycerol → fast hydrolysis and acidification (VFA), needs buffering
acidic
low pH of the substrate (silages, stillage, whey, fruit)
dilutes the feed (low DM)
low dry matter, dilutes the feed
seasonal
seasonal availability — requires storage
poor in trace elements
poor in trace elements — mono-digestion requires supplementation
carbon-rich
high C/N → nitrogen deficiency; combine well with nitrogen-rich substrates
low in nitrogen
high C/N → nitrogen deficiency; combine well with nitrogen-rich substrates

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

Dosing

No source limits on the dose for this substrate.

Introduce gradually, starting with a small dose and monitoring the process (e.g. FOS/TAC, pH, gas composition).

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

What it is and where it comes from

Courgette and marrow are forms of cucurbits (Cucurbita pepo) grown as a vegetable. Waste arises on farms and in sorting plants: overgrown, misshapen, damaged or frost-damaged fruit. The compilation contains several records from several studies: records for marrow (replicates in reactors of a single study, at 38 °C) and for courgette (35 °C).

Properties relevant to digestion

The fruit contains a great deal of water and little dry matter, in which sugars predominate and the share of fibre and protein is small. They are therefore readily and quickly digestible, but the energy per unit of fresh mass is low. At a large dose rapid acidification is a threat, and the low level of nitrogen and trace elements argues for co-digestion with slurry. Overgrown fruit has harder seeds and skin, which require size reduction. Spoiled fruit may contain moulds and increase the microbiological load.

How to read the spread of results

Records for marrow come from a single study and describe replicates in separate reactors, so they are not independent observations. The record for courgette comes from another study and a different temperature. Differences may result from the variety, the ripeness of the fruit, the share of seeds and skin, moisture content, size reduction and the test parameters. From such a small amount of data the full variability cannot be assessed.

In biogas plant practice

Courgette and marrow are a seasonal substrate, most often useful as a local additive. Because of the low dry matter content, transporting it over longer distances is uneconomic. It requires size reduction and mixing with drier material, and the dose must be controlled through pH and volatile fatty acids. As agricultural waste it should be included in the scope of substrates of the installation. Yield is confirmed by a BMP test. For the energy balance, it is worth calculating the value per tonne of fresh matter, and not only per unit of volatile solids, because at very high moisture content the difference is fundamental and affects the profitability of accepting such deliveries. It is also good to establish with the farm whether the fruit was sprayed just before harvest, because residues of plant protection products can affect the digester microflora and the quality of the digestate.

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 = 0.245 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. Dubrovskis, V.; Plume, I. (2017). Biogas from wastes of pumpkin, marrow and apple. Agronomy Research 15(1), 69–78. https://agronomy.emu.ee/wp-content/uploads/2017/03/Vol15Nr1_Dubrovskis.pdf source
  2. Kouas, M.; Torrijos, M.; Sousbie, P.; Steyer, J.P.; Sayadi, S.; Harmand, J. (2017). Robust assessment of both biochemical methane potential and degradation kinetics of solid residues in successive batches. Waste Management 70, 59–70. DOI: 10.1016/j.wasman.2017.09.001 DOI

All sources of the site: bibliography.