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Volume 60, Issue 336, September - December 2024

Anaerobic co-digestion of Cow Manure and Food Waste: An investigation of biogas yield from feedstock percentage variation

Oghenekevwe Oghoghorie1, Onoriode Erhinyodavwe2, Ejiroghene Kelly Orhorhoro3♦

1Department of Mechanical Engineering, Faculty of Engineering, Benson Idahosa University, Benin City, Edo State, Nigeria
2Department of Mechanical Engineering, University of Delta, Agbor, Delta State, Nigeria
3Department of Mechanical Engineering, College of Engineering, Igbinedion University, Okada, Edo State, Nigeria

♦Corresponding Author
Department of Mechanical Engineering, College of Engineering, Igbinedion University, Okada, Edo State, Nigeria

ABSTRACT

An increase in energy consumption is projected as a result of the world's unending population growth. As a result, many are likely to rely heavily on fossil fuels. Biogas is a viable choice because it is a green fuel and also sustainable. In this study, cow manure (CM) and food waste (FW) consisting of yam and plantain peels were collected, digested, and co-digested in the following proportions: 15%:85%, 25%:75%, and 35%:65%. Five (5) AD reactors of the same capacity (25 liters) were used to digest and co-digest CM and FW. The experiment was designed to discover the best proportion variation of CM to FW that will yield the greatest results. The results reveal that digestion of FW without seeding with CM takes a lengthy time to complete. In addition, co-digestion of FW with CM serving as a seeding agent took a shorter time. It was discovered that the percentage variation of co-digestion of CM (25%) to FW (75%), as opposed to the percentage variation of co-digestion of CM (15%) to FW (85%) and the percentage variation of co-digestion of CM (35%) to FW (65%), resulted in the highest biogas yield.

Keywords: Cow Manure, Food Waste, Biogas Yield, Percentage Variation, Anerabic Co-digestion

Discovery, 2024, 60, e24d1453
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DOI: https://doi.org/10.54905/disssi.v60i336.e24d1453

Published: 01 September 2024

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© The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution License 4.0 (CC BY 4.0).