Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Cleaner P...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Cleaner Production
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Life-cycle assessment of treating slaughterhouse waste using anaerobic digestion systems

Authors: Richard Bergman; Kamalakanta Sahoo; Kamalakanta Sahoo; Hongmin Dong; Shunli Wang; Umakanta Jena; Troy Runge;

Life-cycle assessment of treating slaughterhouse waste using anaerobic digestion systems

Abstract

Abstract The meat industry in the US generates considerable amount of slaughterhouse waste (SHW), which is typically converted into more useable products through the rendering process. Although rendering generates sellable fat and meal commodities, it has large environmental impacts because it is energy intensive. Anaerobic digestion (AD) is a promising technology for treating SHW and reducing environmental impact through biogas production to generate heat or electricity, as well as by enabling nutrient recovery and pathogen reduction. This study compared the life-cycle energy use and global warming impact of treating SHW with traditional rendering with AD to produce heat and electricity. The study also considered the co-digestion of SHW with the organic fraction of municipal solid waste (OFMSW) and sewage sludge. A cradle-to-grave life-cycle assessment (LCA) method was used to quantify the energy use and greenhouse gas (GHG) emissions of these systems for treating SHW. We compared three scenarios: (1) AD of SHW, (2) Co-AD of SHW with OFMSW, and (3) Co-AD of SHW with sewage sludge to reference systems of simple rendering and composting. The study findings revealed that the total cradle-to-gate energy use and GHG emissions by treating SHW with AD and co-AD were 0.5−6.7 GJ/1000 kg-SHW and 400−834 kg-CO₂-eq/1000 kg-SHW, whereas for the rendering control scenarios total cradle-to-gate energy use and GHG emissions were 1.9 GJ/1000 kg-SHW and 96.4 kg-CO₂-eq/1000 kg-SHW, respectively. However, considering all the benefits of treating SHW with co-AD, including the displacement of fossil fuel and electricity and nitrogen fertilizers generated as system outputs, these systems perform better than the rendering process. Compared to the reference systems, the GHG reduction potential of treating SHW with co-AD varied between 426.8 and 524.0 kg-CO₂-eq/1000 kg-SHW. Among all input parameters, methane (CH₄) leak from the AD system, and nitrogen fertilizer displacement were the most sensitive parameters affecting the results. By implementing AD of SHW in meat industries in the southeast US, the energy production and GHG emissions reduction potential were estimated to be 22–29 × 10⁶ GJ and 1.6–2.0 × 109 kg-CO₂-eq per year, respectively. The results indicate that the AD of SHW can substantially reduce GHG emissions of the US meat industry as well as produce bioenergy to provide energy security in the US.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Average
Top 10%