Ammonia emissions from an anaerobic digestion plant estimated using atmospheric measurements and dispersion modelling

Bell, Michael W.; Tang, Y. Sim; Dragosits, Ulrike ORCID: https://orcid.org/0000-0002-9283-6467; Flechard, Chris R.; Ward, Paul; Braban, Christine F. ORCID: https://orcid.org/0000-0003-4275-0152. 2016 Ammonia emissions from an anaerobic digestion plant estimated using atmospheric measurements and dispersion modelling. Waste Management, 56. 113-124. https://doi.org/10.1016/j.wasman.2016.06.002

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Official URL: http://dx.doi.org/10.1016/j.wasman.2016.06.002

Abstract/Summary

Anaerobic digestion (AD) is becoming increasingly implemented within organic waste treatment operations. The storage and processing of large volumes of organic wastes through AD has been identified as a significant source of ammonia (NH3) emissions, however the totality of ammonia emissions from an AD plant have not been previously quantified. The emissions from an AD plant processing food waste were estimated through integrating ambient NH3 concentration measurements, atmospheric dispersion modelling, and comparison with published emission factors (EFs). Two dispersion models (ADMS and a backwards Lagrangian stochastic (bLS) model) were applied to calculate emission estimates. The bLS model (WindTrax) was used to back-calculate a total (top-down) emission rate for the AD plant from a point of continuous NH3 measurement downwind from the plant. The back-calculated emission rates were then input to the ADMS forward dispersion model to make predictions of air NH3 concentrations around the site, and evaluated against weekly passive sampler NH3 measurements. As an alternative approach emission rates from individual sources within the plant were initially estimated by applying literature EFs to the available site parameters concerning the chemical composition of waste materials, room air concentrations, ventilation rates, etc. The individual emission rates were input to ADMS and later tuned by fitting the simulated ambient concentrations to the observed (passive sampler) concentration field, which gave an excellent match to measurements after an iterative process. The total emission from the AD plant thus estimated by a bottom-up approach was 16.8 ± 1.8 mg s−1, which was significantly higher than the back-calculated top-down estimate (7.4 ± 0.78 mg s−1). The bottom-up approach offered a more realistic treatment of the source distribution within the plant area, while the complexity of the site was not ideally suited to the bLS method, thus the bottom-up method is believed to give a better estimate of emissions. The storage of solid digestate and the aerobic treatment of liquid effluents at the site were the greatest sources of NH3 emissions.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.wasman.2016.06.002
UKCEH and CEH Sections/Science Areas:	Dise
ISSN:	0956-053X
Additional Keywords:	anaerobic digestion, ammonia emissions, atmospheric dispersion modelling, atmospheric concentration measurements
NORA Subject Terms:	Atmospheric Sciences
Date made live:	29 Jul 2016 13:42 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/514066

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.wasman.2016.06.002

UKCEH and CEH Sections/Science Areas:

Dise

ISSN:

0956-053X

Additional Keywords:

anaerobic digestion, ammonia emissions, atmospheric dispersion modelling, atmospheric concentration measurements

NORA Subject Terms:

Atmospheric Sciences