Characterization of food wastes from the hotel industry as a potential feedstock for energy production

• Characterization of five food waste samples is performed. • The potential of using food waste as feedstock is analysed. • Nairobi food waste favours energy production owing to the high percentages of TS and VS at 93.7% and 84.3% respectively. • High amounts of sulfur deactivate catalysts in the reforming process of syngas production. • Calcium-rich foods greatly increase biogas production. Food waste contribute to 38% of total Municipal Solid Wastes (MSW) in Kenya and end up in landfills. Due to high competition in the available space, most cities, including Nairobi, do not have enough space for landfills. Therefore, there is a need for efficient ways to manage the generated waste. Developed countries have embraced Waste-to-Energy technologies, minimizing waste generation and converting generated waste into energy and other resources. Waste characterization is a key element in the energy generation process not only to identify important parameters but also to guide biomass source segmentation. In this study, food wastes were collected from 21 hotels within Nairobi City County, in different mixed ratios and subdivided into five samples for investigation and analysis. The average feedstock characteristics were observed to be moisture content (6.0%, p < .001, R 2 = 90.70 %), total solid (93.7%, p < .001, R 2 = 99.97 %), volatile solid (84.3%, p < .001, R 2 = 99.80 %), ash content (4.2%, p = .005, R 2 = 48.54 %), fixed carbon (5.4%, p < .001, R 2 = 88.61%), nitrogen (3.6%, p = .04, R 2 = 36.81 %), carbon to nitrogen ratio C/N (4.0), crude protein (22.4%, p = .004, R 2 = 49.36 % ), crude lipids (12.1%, p < .001, R 2 = 89.06 %), total organic carbon (44%, p < . 001, R 2 = 94.70%), potassium (0.6%), sodium (1.2%), calcium (0.2%), and phosphorus (0.4%). The potassium, sodium, calcium and phosphorus p and R 2 values all calculated together were p < .001 and R 2 = 72.35%. The results showed a significant difference in the means of the samples with the majority of the parameters registering a strong positive correlation of above 50%. The analysis revealed that the feedstock under investigation contained well-balanced parameters for briquette, biogas, syngas and biochar production. Therefore, the findings of this research provide vital knowledge in integrating energy production from food wastes thereby improving the efficiency of food waste utilization.

Authors

Institutions

Publication Details

Journal
Energy Nexus
Published
2025-02-08
DOI
https://doi.org/10.1016/j.nexus.2025.100364
Citations
1
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of food wastes from the hotel industry as a potential feedstock for energy production

Isaiah Omosa, Booker Osodo, Emmanuel Yeri Kombe, Emily Machuma Muchele
1 citations
Energy Nexus
Food Waste Reduction and Sustainability
1.16
article

Characterization of food wastes from the hotel industry as a potential feedstock for energy production

Isaiah Omosa, Booker Osodo, Emmanuel Yeri Kombe, Emily Machuma Muchele
article en
1 citations

Abstract

• Characterization of five food waste samples is performed. • The potential of using food waste as feedstock is analysed. • Nairobi food waste favours energy production owing to the high percentages of TS and VS at 93.7% and 84.3% respectively. • High amounts of sulfur deactivate catalysts in the reforming process of syngas production. • Calcium-rich foods greatly increase biogas production. Food waste contribute to 38% of total Municipal Solid Wastes (MSW) in Kenya and end up in landfills. Due to high competition in the available space, most cities, including Nairobi, do not have enough space for landfills. Therefore, there is a need for efficient ways to manage the generated waste. Developed countries have embraced Waste-to-Energy technologies, minimizing waste generation and converting generated waste into energy and other resources. Waste characterization is a key element in the energy generation process not only to identify important parameters but also to guide biomass source segmentation. In this study, food wastes were collected from 21 hotels within Nairobi City County, in different mixed ratios and subdivided into five samples for investigation and analysis. The average feedstock characteristics were observed to be moisture content (6.0%, p < .001, R 2 = 90.70 %), total solid (93.7%, p < .001, R 2 = 99.97 %), volatile solid (84.3%, p < .001, R 2 = 99.80 %), ash content (4.2%, p = .005, R 2 = 48.54 %), fixed carbon (5.4%, p < .001, R 2 = 88.61%), nitrogen (3.6%, p = .04, R 2 = 36.81 %), carbon to nitrogen ratio C/N (4.0), crude protein (22.4%, p = .004, R 2 = 49.36 % ), crude lipids (12.1%, p < .001, R 2 = 89.06 %), total organic carbon (44%, p < . 001, R 2 = 94.70%), potassium (0.6%), sodium (1.2%), calcium (0.2%), and phosphorus (0.4%). The potassium, sodium, calcium and phosphorus p and R 2 values all calculated together were p < .001 and R 2 = 72.35%. The results showed a significant difference in the means of the samples with the majority of the parameters registering a strong positive correlation of above 50%. The analysis revealed that the feedstock under investigation contained well-balanced parameters for briquette, biogas, syngas and biochar production. Therefore, the findings of this research provide vital knowledge in integrating energy production from food wastes thereby improving the efficiency of food waste utilization.

Energy NexusVol. 17
Kenyatta University (KE)
Zero hunger
Openalex Percentile: Top 25%
Food Waste Reduction and Sustainability
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.