Authors: Allan Komakech,
Isaac Rubagumya,
Emmanuel Menya,
Simon Kizito,
Ahamada Zziwa,
Isa Kabenge
Identifier: CSBE23144
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Published in: CSBE-SCGAB Technical Conferences » AGM Lethbridge 2023
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Description: Primary activity data for the type and emission rate of greenhouse gases (GHGs) emitted from waste treatment technologies is inadequate in many developing countries. However, this data is key input to designing and outlining the best strategies for reducing GHG emissions from different source sectors of the economy. In this study, greenhouse gas emissions from three fruit and vegetable waste (FVW) management technologies namely, aerobic composting (AC), anaerobic digestion (AD), and Black soldier fly larvae (BSFL) composting, were investigated. The static chamber method was used to assess the emissions of carbon dioxide, methane, and nitrous oxide from these technologies. The total CO2 emissions for the different FVW treatment methods investigated were 108.0, 87.5, and 61.21 g CO2 kg-1 of FV waste initial FV for BSFL, AC, and AD respectively. When CO2 emissions were excluded from the accounting because they are considered carbon neutral or assumed to be part of the small carbon cycle, the three waste treatment technologies' emissions ranged from 1.82 to 47.48 kg CO2 -eq ton-1 of FVW treated, largely attributable to CH4 emissions. On account of GHG mitigation, the results indicate that anaerobic digestion provides a reduction 26 times greater than BSFL and three times more than aerobic composting. To make the national?s GHG emissions estimates for the waste sector more robust, such local area-based studies on primary activity data are beneficial to reduce uncertainties in national emission estimates.
Keywords: Fruit and vegetable wastes management, Greenhouse gases Emission
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Date: 2023-07-23
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Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
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Type: Presentation
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Publication type: Text.Abstract
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Coverage: Sub-Saharan_Africa
Language 1: en
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Rights: Canadian Society for Bioengineering
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