Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source
This study assesses and characterizes six woody biomass (WB) species commonly harvested in the Republic of Congo: <i>Millettia laurentii</i> (WB1), <i>Millettia eetveldeana</i> (WB2), <i>Hymenocardia ulmoides</i> (WB3), <i>Markhamia tomentosa</i> (WB4)...
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2025-01-01
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| author | Maryse D. Nkoua Ngavouka Tania S. Mayala Dick H. Douma Aaron E. Brown James M. Hammerton Andrew B. Ross Gilbert Nsongola Bernard M’Passi-Mabiala Jon C. Lovett |
| author_facet | Maryse D. Nkoua Ngavouka Tania S. Mayala Dick H. Douma Aaron E. Brown James M. Hammerton Andrew B. Ross Gilbert Nsongola Bernard M’Passi-Mabiala Jon C. Lovett |
| author_sort | Maryse D. Nkoua Ngavouka |
| collection | DOAJ |
| description | This study assesses and characterizes six woody biomass (WB) species commonly harvested in the Republic of Congo: <i>Millettia laurentii</i> (WB1), <i>Millettia eetveldeana</i> (WB2), <i>Hymenocardia ulmoides</i> (WB3), <i>Markhamia tomentosa</i> (WB4), <i>Pentaclethra eetveldeana</i> (WB5), and <i>Hymenocardia acida</i> (WB6). Characterization was performed using proximate analysis with a Thermo Gravimetric Analyser (TGA), ultimate analysis with a CHNS Analyser, higher heating value (HHV) determination, metal content analysis by X-ray fluorescence (XRF), and aboveground biomass (AGB) estimation. The proximate analysis results showed that volatile matter varied between 74.6% and 77.3%, while the ultimate analysis indicated that carbon content ranged from 43% to 46%, with low nitrogen content. XRF analysis revealed low levels of heavy metals in all samples. The HHV results, using three models (Dulong’s equation, Friedl, and proximate analysis), showed higher values with Friedl’s method (17.3–18.2 MJ/kg) and proximate analysis (15.26–19.23 MJ/kg) compared to Dulong’s equation (13.9–14.9 MJ/kg). Savannah biomass (WB6) exhibited high AGB (7.28 t), 14.55 t/ha, and carbon stock (7.28 t). Compared to forest biomass, savannah biomass presents a higher potential for bioenergy production. Minimal statistical analysis of wood biomass showed that parameters such as volatile matter (VM), carbon (C), hydrogen (H), and calculated HHV have low variability, suggesting the biomass is relatively homogeneous. However, moisture and nitrogen showed significant standard deviations, indicating variability in storage conditions or sample nature. Statistical analysis of forest biomass estimation revealed different mean values for diameter, AGB (t and t/ha), and carbon stock, with high standard deviations, indicating a heterogeneous forest with both young and mature trees. These analyses and estimates indicate that these WB species are suitable for biofuel and bioenergy production using gasification, pyrolysis, and combustion processes. Among these thermochemical processes, gasification is the most efficient compared to combustion and pyrolysis. |
| format | Article |
| id | doaj-art-28a2a5432be645b2989690ae795a72d1 |
| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-28a2a5432be645b2989690ae795a72d12025-01-10T13:15:20ZengMDPI AGApplied Sciences2076-34172025-01-0115137110.3390/app15010371Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy SourceMaryse D. Nkoua Ngavouka0Tania S. Mayala1Dick H. Douma2Aaron E. Brown3James M. Hammerton4Andrew B. Ross5Gilbert Nsongola6Bernard M’Passi-Mabiala7Jon C. Lovett8Faculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville BP.69, CongoFaculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville BP.69, CongoFaculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville BP.69, CongoSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UKSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UKSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UKInstitut National de Recherche en Sciences Exactes et Naturelles, Brazzaville BP.2400, CongoFaculté des Sciences et Techniques, Université Marien Ngouabi, Brazzaville BP.69, CongoSchool of Geography, University of Leeds, Leeds LS2 9JT, UKThis study assesses and characterizes six woody biomass (WB) species commonly harvested in the Republic of Congo: <i>Millettia laurentii</i> (WB1), <i>Millettia eetveldeana</i> (WB2), <i>Hymenocardia ulmoides</i> (WB3), <i>Markhamia tomentosa</i> (WB4), <i>Pentaclethra eetveldeana</i> (WB5), and <i>Hymenocardia acida</i> (WB6). Characterization was performed using proximate analysis with a Thermo Gravimetric Analyser (TGA), ultimate analysis with a CHNS Analyser, higher heating value (HHV) determination, metal content analysis by X-ray fluorescence (XRF), and aboveground biomass (AGB) estimation. The proximate analysis results showed that volatile matter varied between 74.6% and 77.3%, while the ultimate analysis indicated that carbon content ranged from 43% to 46%, with low nitrogen content. XRF analysis revealed low levels of heavy metals in all samples. The HHV results, using three models (Dulong’s equation, Friedl, and proximate analysis), showed higher values with Friedl’s method (17.3–18.2 MJ/kg) and proximate analysis (15.26–19.23 MJ/kg) compared to Dulong’s equation (13.9–14.9 MJ/kg). Savannah biomass (WB6) exhibited high AGB (7.28 t), 14.55 t/ha, and carbon stock (7.28 t). Compared to forest biomass, savannah biomass presents a higher potential for bioenergy production. Minimal statistical analysis of wood biomass showed that parameters such as volatile matter (VM), carbon (C), hydrogen (H), and calculated HHV have low variability, suggesting the biomass is relatively homogeneous. However, moisture and nitrogen showed significant standard deviations, indicating variability in storage conditions or sample nature. Statistical analysis of forest biomass estimation revealed different mean values for diameter, AGB (t and t/ha), and carbon stock, with high standard deviations, indicating a heterogeneous forest with both young and mature trees. These analyses and estimates indicate that these WB species are suitable for biofuel and bioenergy production using gasification, pyrolysis, and combustion processes. Among these thermochemical processes, gasification is the most efficient compared to combustion and pyrolysis.https://www.mdpi.com/2076-3417/15/1/371bioenergyproximate and ultimate analysislignocellulosic biomassaboveground biomasshigher heating value |
| spellingShingle | Maryse D. Nkoua Ngavouka Tania S. Mayala Dick H. Douma Aaron E. Brown James M. Hammerton Andrew B. Ross Gilbert Nsongola Bernard M’Passi-Mabiala Jon C. Lovett Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source Applied Sciences bioenergy proximate and ultimate analysis lignocellulosic biomass aboveground biomass higher heating value |
| title | Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source |
| title_full | Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source |
| title_fullStr | Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source |
| title_full_unstemmed | Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source |
| title_short | Characterization of Congolese Woody Biomass and Its Potential as a Bioenergy Source |
| title_sort | characterization of congolese woody biomass and its potential as a bioenergy source |
| topic | bioenergy proximate and ultimate analysis lignocellulosic biomass aboveground biomass higher heating value |
| url | https://www.mdpi.com/2076-3417/15/1/371 |
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