Bioenergy recovery from Southern Tunisia’s organic wastes: analysis and kinetic modeling study of biomethane production

Mouftahi, Mawaheb; Tlili, Nawel; Hidouri, Nejib; Bartocci, Pietro; Fantozzi, Francesco

doi:10.1007/s13399-021-01684-7

Cited by 4 publications

(2 citation statements)

References 79 publications

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“…The different types of food waste considered in this study were obtained from local supermarkets. The chemical-physical properties were measured at the Analysis Lab of the Biomass Research Centre described in previous works [30][31][32][33][34]. A TGA 701 LECO has been used to perform proximate analysis and determine moisture, ash, total solid and volatile solid content, according to the following norms: UNI EN ISO 18134-2:2015, UNI EN ISO 18122:2016, and UNI EN 15,148:2010.…”

Section: The Tool Codementioning

confidence: 99%

Development of a tool to optimize economic and environmental feasibility of food waste chains

Celli

Brunori

Eugeni

et al. 2022

Biomass Conv. Bioref.

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The Sustainable Development Goal 12.3 focuses on food and its inedible parts that exit the supply chain and thus are lost or wasted. This work addresses the food waste problem by presenting the development of a tool to design business models to reduce the production of food waste. This has been developed within the LIFE16 project iRexfo, coordinated by the University of Perugia. The tool aims at transferring the results obtained in a pilot region (Umbria, Italy) to 4 other regions in Europe. It has been coded in Python and has a graphical user interface (GUI) to insert inputs and display outputs. The GUI has been developed in FLASK and it is hosted in the website of PythonAnywhere. A case study on the application of the software is also presented, mainly based on data retrieved in the Umbria region, Italy. Together with economic analysis, also, environmental assessment is performed.

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Section: The Tool Codementioning

confidence: 99%

Development of a tool to optimize economic and environmental feasibility of food waste chains

Celli

Brunori

Eugeni

et al. 2022

Biomass Conv. Bioref.

Self Cite

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“…Kinetic modeling of the cumulative biogas production curves was used to provide insight into the maximum biogas yield and specific production rate constant. Although several studies report the use of first-order exponential or logistic kinetic models (Mouftahi et al, 2021;Ebrahimzade et al, 2022), two-phase and multi-stage models more accurately represent the complex dynamics of biogas production during AD, because they consider different substrates, stages, and substrateinteractions, and they are able to provide a kinetic constant for each stage of the BMP test (Karki et al, 2022). In this study, a multi-stage Gompertz model was used, since the BMP curves displayed two or more clearly distinguishable stages (Pardilhó et al, 2022).…”

Section: Kinetic Model and Macroscale Extrapolationmentioning

confidence: 99%

A micro- and macro-scale look at the biochemical methanogenic potential of the organic fraction of municipal solid waste generated in a large city of a developing country

Ibarra-Esparza

Garibay

Lara-Topete

et al. 2022

Front. Environ. Sci.

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The management of municipal solid waste (MSW) is a complex and expensive task. This is especially the case in developing countries, where waste generation rates are continuously increasing and where current MSW management strategies are focused on inadequate practices, such as landfilling and incineration, which result in numerous health and environmental problems. The anaerobic digestion (AD) of MSW has been implemented worldwide as a solution to decrease the amount of waste ending up in landfills. This process allows for the recovery of energy from the organic fraction of MSW (OFMSW) in the form of biogas, which is largely composed of methane. Therefore, the goal of the present study was to evaluate the biochemical methane potential (BMP) of the OFMSW generated within different socioeconomic strata of the Metropolitan Area of Guadalajara (MAG), Mexico. From a microscale perspective, the microbial communities within the experimental AD system were analyzed using high-throughput sequencing of the 16S rRNA gene to assess the relationship between these communities and the biogas composition. This microbial identification revealed a typical AD composition consisting of the following six phyla: Actinobacteria, Bacteroidetes, Chloroflexi, Euryarchaeota, Firmicutes, and Proteobacteria. Furthermore, through the identification of Methanobacterium and Methanosaeta, two methanogenesis pathways (hydrogenotrophic and acetoclastic) were pinpointed. From a macroscale perspective, a multi-stage Gompertz kinetic model was used to describe cumulative biogas production. This model considered the complex nature of the OFMSW substrate in order to estimate the potential level of biogas production in the MAG using a weighted average that was based on the size of the population in each socioeconomic stratum evaluated (732.8 mL⋅g−1 VS). This novel contribution to the literature provides an estimation of the potential economic, energetic, and environmental benefits of treating the OFMSW produced in the MAG through AD. Through this approach, an estimated 8.5 MWh·year−1 of electrical power could be produced, translating into 1.13 million USD of yearly revenue and resulting in reduced GHG emissions (10,519 tonne CO2eq⋅year−1).

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Bioenergy potential in Nigeria, how to advance knowledge and deployment to enable SDG 7

Okoro,

Chong,

Röder

2024

WIREs Energy & Environment

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Biomass is currently the main energy source in Nigeria, but it is being used and managed unsustainably, resulting in significant health and environmental risks. To support Nigeria's transition to an affordable, reliable, and low‐emission future, there is a need to shift from traditional biomass use to modern bioenergy applications. The research reviews the existing knowledge on themes relevant to developing sustainable modern bioenergy for Nigeria in the context of agri‐residues. It synthesizes the key findings on the themes from 161 scientific literature published between 2010 and 2021 on Nigeria and Sub‐Saharan Africa. The findings show that most literature focused on agri‐residues potentially available in large amounts but highly disaggregated, such as cassava and palm residues. Furthermore, the literature highlighted the importance of understanding agri‐residue aggregation, technological, economic, socio‐economic, governance framework of bioenergy, and the interactions with other sectors to unlock the full potential of modern bioenergy. While research acknowledged that bioenergy could enhance energy security, economic growth, and social co‐benefits, there has been less focus on the benefits of novel bioenergy solutions co‐created by relevant stakeholder groups in Nigeria. Involving relevant stakeholders in developing novel bioenergy solutions would address the missing link between resource assessment, appropriate technology deployment, and end‐user demand. It would also enhance the analysis of the bioenergy market and nonmarket benefits and ensure that bioenergy solutions in Nigeria are aligned with community needs and foster inclusivity.This article is categorized under: Sustainable Energy > Bioenergy Policy and Economics > Governance and Regulation

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Bioenergy recovery from Southern Tunisia’s organic wastes: analysis and kinetic modeling study of biomethane production

Cited by 4 publications

References 79 publications

Development of a tool to optimize economic and environmental feasibility of food waste chains

Development of a tool to optimize economic and environmental feasibility of food waste chains

A micro- and macro-scale look at the biochemical methanogenic potential of the organic fraction of municipal solid waste generated in a large city of a developing country

Bioenergy potential in Nigeria, how to advance knowledge and deployment to enable SDG 7

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