mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Investigating the possibility of applying an ADM1 based model to a full-scale co-digestion plant
Mälardalen University, School of Sustainable Development of Society and Technology. Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-3131-0285
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-3485-5440
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH-Royal Institute of Technology, Stockholm, Sweden.ORCID iD: 0000-0003-0300-0762
2017 (English)In: Biochemical engineering journal, ISSN 1369-703X, E-ISSN 1873-295X, Vol. 120, p. 73-83Article in journal (Refereed) Published
Abstract [en]

This study investigated the possibility of using a model based on the anaerobic digestion model no. 1 (ADM1) on a full-scale 4000 m3 digester in order to understand how such theoretical models can be applied to a real industrial process. The industrial scale digester co-digests the organic fraction of municipal solid waste, grease trap sludge, and ley crop silage with varying feed rates and amounts of volatile solids. A year of process data was collected. Biogas flow, methane content/flow, and ammonia nitrogen were the variables that the model was best at predicting (index of agreement at 0.78, 0.61/0.77, and 0.68, respectively). The model was also used to investigate the effect of increasing the volatile solids (VS) concentration entering the digester. According to simulation results, increasing the influent VS concentration will increase biogas and methane outflow (from 1.5 million Nm3 methane to more than 2 million Nm3 methane), but decrease the amounts of biogas/methane per unit of volatile solids (from about 264 Nm3methane per tonne VS to below 215 Nm3 methane per tonne VS).

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 120, p. 73-83
National Category
Bioenergy
Identifiers
URN: urn:nbn:se:mdh:diva-34634DOI: 10.1016/j.bej.2016.12.014ISI: 000395603900009Scopus ID: 2-s2.0-85009230307OAI: oai:DiVA.org:mdh-34634DiVA, id: diva2:1065431
Available from: 2017-01-16 Created: 2017-01-16 Last updated: 2017-11-29Bibliographically approved
In thesis
1. System studies of Anaerobic Co-digestion Processes
Open this publication in new window or tab >>System studies of Anaerobic Co-digestion Processes
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Production of biogas through anaerobic digestion is one pathway to achieving the European Union (EU) goals of reducing greenhouse gas emissions, increasing the share of renewable energy, and improving energy efficiency. In this thesis, two different models (Anaerobic Digestion Model No. 1 and an artificial neural network) are used to simulate a full-scale co-digester in order to evaluate the feasibility of such models. This thesis also includes models of two systems to study the inclusion of microalgae in biogas plants and wastewater treatment plants. One of the studies is a life-cycle assessment in which replacement of the ley crop with microalgae is evaluated. The other study concerns the inclusion of microalgae in case studies of biological treatment in three wastewater treatment plants. Finally, the co-digestion between microalgae and sewage sludge has been simulated to evaluate the effect on biogas and methane yield. The results showed that Anaerobic Digestion Model No.1 and the artificial neural network are suitable for replicating the dynamics of a full-scale co-digestion plant. For the tested period, the artificial neural network showed a better fit for biogas and methane content than the Anaerobic Digestion Model No. 1. Simulations showed that co-digestion with microalgae tended to reduce biomethane production. However, this depended on the species and biodegradability of the microalgae. The results also showed that inclusion of microalgae could decrease carbon dioxide emissions in both types of plants and decrease the energy demand of the studied wastewater treatment plants. The extent of the decrease in the wastewater treatment plants depended on surface volume. In the biogas plant, the inclusion of microalgae led to a lower net energy ratio for the methane compared to when using ley crop silage. Both studies show that microalgae cultivation is best suited for use in summer in the northern climate.

Place, publisher, year, edition, pages
Västerås: Mälardalen University Press, 2017
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 237
National Category
Bioenergy
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-36515 (URN)978-91-7485-347-6 (ISBN)
Public defence
2017-11-08, Case, Västerås, 09:15 (English)
Opponent
Supervisors
Available from: 2017-09-27 Created: 2017-09-26 Last updated: 2017-12-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Nordlander, EvaEva, ThorinYan, JinYue

Search in DiVA

By author/editor
Nordlander, EvaEva, ThorinYan, JinYue
By organisation
School of Sustainable Development of Society and TechnologyFuture Energy Center
In the same journal
Biochemical engineering journal
Bioenergy

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 77 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf