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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article"><front><journal-meta><journal-id journal-id-type="issn">2357-0857</journal-id><journal-title-group><journal-title>Environmental Science &amp; Sustainable Development</journal-title><abbrev-journal-title>ESSD</abbrev-journal-title></journal-title-group><issn pub-type="epub">2357-0857</issn><issn pub-type="ppub">2357-0849</issn><publisher><publisher-name>IEREK Press</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21625/essd.v9i4.1144</article-id><article-categories><subj-group><subject>Renewable Energy</subject></subj-group></article-categories><title-group><article-title>An Assessment of Sawmill Wood Waste Availability for Use in Gasifiers in Akure, Ondo State, Nigeria</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Owoyemi</surname><given-names>J. M.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-1"/></contrib><contrib contrib-type="author"><name><surname>Melodi</surname><given-names>A. O.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-2"/></contrib><contrib contrib-type="author"><name><surname>Olukunle</surname><given-names>O. J.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-3"/></contrib><contrib contrib-type="author"><name><surname>Oguntunde</surname><given-names>P. G.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-3"/></contrib><contrib contrib-type="author"><name><surname>Titiladunayo</surname><given-names>I. F.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-4"/></contrib><contrib contrib-type="author"><name><surname>Ayodeji</surname><given-names>O. Z.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-5"/></contrib><contrib contrib-type="author"><name><surname>Fuwape</surname><given-names>J. A.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-1"/></contrib><contrib contrib-type="author"><name><surname>Oyeleye</surname><given-names>I. O.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-6"/></contrib><contrib contrib-type="author"><name><surname>Akinwamide</surname><given-names>T.O</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-6"/></contrib><contrib contrib-type="author"><name><surname>Ogunniyi</surname><given-names>O. J.</given-names></name><address><country>Nigeria</country></address><xref ref-type="aff" rid="AFF-6"/></contrib><aff id="AFF-1">Professor, Department of Forestry and Wood Technology, Federal University of Technology, Akure, Nigeria</aff><aff id="AFF-2">Professor, Department of Electrical and Electronics Engineering, Federal University of Technology, Akure, Nigeria</aff><aff id="AFF-3">Professor, Department of Agricultural and Environmental Engineering, Federal University of Technology, Akure, Nigeria</aff><aff id="AFF-4">Professor, Department of Mechanical Engineering, Federal University of Technology, Akure, Nigeria</aff><aff id="AFF-5">Senior Lecturer, Department of Mechanical Engineering, Federal University of Technology, Akure, Nigeria</aff><aff id="AFF-6">Student, Department of Forestry and Wood Technology, Federal University of Technology, Akure, Nigeria</aff></contrib-group><contrib-group><contrib contrib-type="editor"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8754-3523</contrib-id><name><surname>Spina</surname><given-names>Professor Lucia Della</given-names></name><address><country>Italy</country></address></contrib><contrib contrib-type="editor"><name><surname>Trovato</surname><given-names>Maria Rosa</given-names></name><address><country>Italy</country></address><xref rid="EDITOR-AFF-1" ref-type="aff"/></contrib><aff id="EDITOR-AFF-1">Assistant Professor, Department of Civil Engineering and Architecture, University of Catania, Italy</aff></contrib-group><pub-date date-type="pub" iso-8601-date="2024-12-31" publication-format="electronic"><day>31</day><month>12</month><year>2024</year></pub-date><pub-date date-type="collection" iso-8601-date="2024-12-31" publication-format="electronic"><day>31</day><month>12</month><year>2024</year></pub-date><volume>9</volume><issue>4</issue><fpage>104</fpage><lpage>120</lpage><history><date date-type="received" iso-8601-date="2024-10-28"><day>28</day><month>10</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-12-22"><day>22</day><month>12</month><year>2024</year></date></history><permissions><copyright-statement>Copyright (c) 2024 J. M. Owoyemi, A. O. Melodi, O. J. Olukunle, P. G. Oguntunde, I. F. Titiladunayo, O. Z. Ayodeji, J. A. Fuwape, I. O. Oyeleye, T.O Akinwamide, O. J. Ogunniyi</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>J. M. Owoyemi, A. O. Melodi, O. J. Olukunle, P. G. Oguntunde, I. F. Titiladunayo, O. Z. Ayodeji, J. A. Fuwape, I. O. Oyeleye, T.O Akinwamide, O. J. Ogunniyi</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution 4.0 International License.The Author shall grant to the Publisher and its agents the nonexclusive perpetual right and license to publish, archive, and make accessible the Work in whole or in part in all forms of media now or hereafter known under a Creative Commons Attribution 4.0 License or its equivalent, which, for the avoidance of doubt, allows others to copy, distribute, and transmit the Work under the following conditions:Attribution: other users must attribute the Work in the manner specified by the author as indicated on the journal Web site;With the understanding that the above condition can be waived with permission from the Author and that where the Work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license.The Author is able to enter into separate, additional contractual arrangements for the nonexclusive distribution of the journal's published version of the Work (e.g., post it to an institutional repository or publish it in a book), as long as there is provided in the document an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post online a pre-publication manuscript (but not the Publisher's final formatted PDF version of the Work) in institutional repositories or on their Websites prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see The Effect of Open Access). 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The objective was to evaluate the availability of wood waste and its potential utilization as feedstock for mini-grid gasifiers to generate electricity from renewable sources. Data were collected through surveys, observations, and analysis of sawmill operations. The findings revealed that wood waste comprised residues from the primary conversion of logs, with sawdust contributing the largest quantity. Sawmills in Akure South, with the highest log conversion capacity, contributed the largest volume of wood waste. On average, wood waste generation (WWG) was 44% per log, while lumber recovery (LR) was 56% per head rig, with variations linked to factors such as log shape, size, and conversion techniques, indicating inefficient log conversion in the state. Additionally, wood waste management practices were inadequate, with lumber cut-offs, slabs, and bark sold at a low value and sawdust often disposed of cheaply for domestic use. This study confirms that wood waste can be efficiently utilized as feedstock in mini-grid gasifiers, providing a sustainable solution for electricity generation in Akure, Ondo State.</p><p>© 2024 The Authors. Published by IEREK Press. This is an open-access article under the CC BY license (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:title="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>). Peer review under the responsibility of ESSD’s International Scientific Committee of Reviewers.</p></abstract><kwd-group><kwd>Gasifier technology</kwd><kwd>lumber recovery</kwd><kwd>Renewable energy</kwd><kwd>sustainable forestry</kwd><kwd>waste management</kwd></kwd-group><funding-group><funding-statement>The Ethics Committee of the Federal University of Technology Akure (TETF/ES?DR&amp;DCE/NRF2020/CC/36) granted ethics approval for this project, as the research was conducted according to the ethical principles and guidelines outlined by the institution. No upgraded ethical clearance of the specific project activity was envisaged or compelled.</funding-statement></funding-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2023</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>1. Introduction</title><p>There is an increasing research interest in biomass as an important renewable and environmentally friendly fuel for generating electricity due to uncertainty in the energy market and the problems of greenhouse gas emissions <xref ref-type="bibr" rid="BIBR-13">(Gratitude et al., 2019)</xref>. Utilizing wood waste as biomass to produce bioenergy has the potential to be a very beneficial solution that will guarantee a sustainable energy source while also lessening the environmental impact of the building sector <xref ref-type="bibr" rid="BIBR-24">(Maier, 2022)</xref> <xref ref-type="bibr" rid="BIBR-50">(Xie et al., 2023)</xref>. The renewed interest in the use of renewable sources of energy in Nigeria was stimulated by the deficit in power generation and the tremendous surge in its population from 88 million in 1990 to over 200 million in 2020 has resulted in more demand for energy <xref ref-type="bibr" rid="BIBR-3">(Akintande et al., 2020)</xref>. The electric load demand in the country is estimated to be 20,000 MW only, an average of 4,156.5 MW was generated in March 2020, and the Association of Nigerian Electricity Distributors (ANED), the umbrella body of Electricity Distribution Companies, (DisCos) has estimated that Nigeria requires 30,000 megawatts of electricity generation to meet the current demand of electricity by consumers <xref ref-type="bibr" rid="BIBR-17">(Izuora, 2022)</xref>. The shortfall in power supply in the country has negatively affected the national economy and destabilised the domestic and industrial sectors as well as other key sectors such as telecommunication, health, transport, and education. Most homes, universities, and companies generate their electricity, “thereby creating a diesel/ petrol driven economy”. The high cost of energy made some companies fold up while others are in the stage of financial comatose. Although the power sector reform report proposed an increase in power generation from 5,000 MW in 2014 to 40,000 MW by 2020 <xref ref-type="bibr" rid="BIBR-36">(Oladipo et al., 2018)</xref>, this goal seems unachievable due to different disruptions and maintenance problems with the hydro and thermal stations. Most of the hydro-power plants are affected by seasonal fluctuations in water level, coupled with the challenges of obsolete equipment and disrupted operation at the thermal stations occasioned by irregular gas supply due to vandalism of gas pipelines. Therefore, there must be decentralization of power generation by adapting mini-grids suitable for different locations.</p><p>Nigeria generated an estimated 1,000,000 cubic meters of wood waste annually between 2009 and 2010, according to studies by <xref ref-type="bibr" rid="BIBR-51">(Sambo, 2009)</xref>, <xref ref-type="bibr" rid="BIBR-32">(Ogunwusi, 2014)</xref>, and <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref>. Of this, sawdust accounted for approximately 1.8 million tons each year, translating to around 4,931.51 tons daily {<xref ref-type="bibr" rid="BIBR-51">(Sambo, 2009)</xref>; <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref>; <xref ref-type="bibr" rid="BIBR-1">(Akhator et al., 2017)</xref>}. In 2014, <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref> estimated Nigeria’s wood waste production at about 104,000 cubic meters per day. Additionally, <xref ref-type="bibr" rid="BIBR-33">(Okedere et al., 2017)</xref> estimated annual sawdust production in southwestern Nigeria alone at 526,650 metric tons. This research is an innovative method for assessing the availability of wood wastes for co-generating electric energy in Ondo State and its environment. Ondo State which is one of the major wood processing states in Nigeria has large quantities of industrial wood wastes because of the high demand for wood products with rapid demographic growth. There were 223 sawmills in Ondo State in 1983, constituting about 21% of the total number of sawmills in Nigeria <xref ref-type="bibr" rid="BIBR-5">(Alviar, 1983)</xref>. The continuous increase in the number of sawmills in the State stabilised the position of Ondo State as one of the largest lumber-producing states in Nigeria. With the present trend of log exploitation exceeding the rate of afforestation and reforestation, there is an imminent wood shortage which can only be averted by improved wood conversion and utilization to ensure that optimum benefit is derived from every wood. Maximizing the volume of lumber recovered from logs with a small quantity of waste will increase sawmills' profitability <xref ref-type="bibr" rid="BIBR-46">(Rawat et al., 2023)</xref>. The factors for measuring the conversion efficiency of a mill include lumber recovery factor (LRF), speed of manufacturing, and grade of recovery <xref ref-type="bibr" rid="BIBR-4">(Alagbada, 2021)</xref>. The LRF indicates the quantity of lumber per unit volume of log, it is defined as the ratio of actual board feet (BF) of lumber recovered per unit volume of log processed. Lumber yield is strongly influenced by log form, log quality, and sawmill characteristics such as the types of machines. The grade of recovered wood is important in the assessment of efficiency in that there may be irregularities in lumber dimension due to improper or faulty sawing and this will affect the unit cost of lumber and its utilization. In Ondo State, improper handling of wood waste poses a major environmental risk. Wood waste management practices, which include the collection, disposal, recycling, and reuse of wood waste, are ineffective and inadequate, as evidenced by the obvious disposal of wood waste on streets, in water bodies, and open air. As a result, there will be a serious threat to the sustainability of Nigerian timber forests, human health, and environmental balance.</p><p>The substantial reliance on non-renewable fossil fuels in global energy production and consumption has proven to be a significant obstacle to achieving sustainable development goals <xref ref-type="bibr" rid="BIBR-19">(Kanwal et al., 2022)</xref>, <xref ref-type="bibr" rid="BIBR-18">(Jie et al., 2023)</xref>, <xref ref-type="bibr" rid="BIBR-22">(Kocak et al., 2023)</xref>. Electricity production has been the largest source of emission reductions, with the shift in electricity generation from coal to gas and, in the past decade, to renewable energy (RE) <xref ref-type="bibr" rid="BIBR-8">(Caselli et al., 2021)</xref>. Hence, the utilization of wood waste is a means to improve the management of wood waste. Therefore, the objective of this study was to determine the availability of wood waste across different sawmills in Ondo State that could be used as feedstock in an electricity mini-grid power plant at the Federal University of Technology, Akure. The findings from this assessment provided stakeholders and energy experts with information that further reveals the potential of academic institutions producing RE from the abundance of wood wastes to support national climate goals. The adoption of renewable energy by different institutions becomes essential for reducing their environmental footprint and aligning with Sustainable Development Goals (SDGs) 7 (Affordable and Clean Energy) and 13 (Climate Action).</p></sec><sec><title>2. Materials and Methods</title><p>This study was conducted to assess the availability of wood wastes in Ondo State to ascertain the sustainability of feedstock production for a gasifier plant designed at the Federal University of Technology Akure for generating electricity. Ondo State is situated in the South-western part of Nigeria (5° 45′ N–8° 15′ N, 4° 45′ E– 6° 00′ E), <xref ref-type="fig" rid="figure-pm0hdo">Figure 1</xref>). The state has 18 local government areas (LGAs) with a population of about 3,441,024 according to the 2006 population census and a land area of about 14,606 km<sup>2</sup> {<xref ref-type="bibr" rid="BIBR-27">(Commission, 2006)</xref> ,<xref ref-type="bibr" rid="BIBR-39">(Omonijo &amp; Matzarakis, 2011)</xref>}. The State has a tropical wet-and-dry climate with an annual rainfall range of 1,500 mm to 2,000 mm in the derived savannah and humid forest zones, respectively. Ondo State is one of the major wood processing states in Nigeria. This is a result of the availability of forest resources feeding its numerous sawmills and other wood processing industries.</p><sec><title>2.1 Data collection</title><p>For the assessment of wood waste availability, primary data on the distribution of sawmills and wood industries in the State were collected from the 2023 records of the <xref ref-type="bibr" rid="BIBR-25">(Environment &amp; Forestry, 2023)</xref> Ondo State, Nigeria. Structured questionnaires were designed and administered to loggers, sawmills, and machine and plant operators in 23 mills across the four selected local government areas (<xref ref-type="table" rid="table-1">Table 1</xref>), to assess the level of waste generation, volume recovery from a typical log, production capacity, and waste management techniques. Measurements were taken before and after the conversion of logs to determine volume recovery and wastes generated from a typical log.</p><p>Data extracted from the questionnaires include the location of mills, number of head rigs per mill, types of machines, method of saw doctoring, machine maintenance, and strength of manpower. Information was collected from small, medium, and large-sized mills. Still, for convenience in the statistical analysis of data, only fifteen small-sized mills were selected for this particular study on log conversion patterns, LR, time efficiency, idle working time, and saw geometry. Measurements were taken on ten random logs per sawmill.</p><p>The volume (V) of logs was determined by applying data of measured girth at both ends of the log as well as the length of the log to the Smalian formula in Equation 1:</p><p><inline-formula><tex-math id="math-1"><![CDATA[ \documentclass{article} \usepackage{amsmath} \begin{document} \displaystyle V = \frac{L}{2}(Cb + Ct) \end{document} ]]></tex-math></inline-formula>   (1)</p><p>Where V, L, Cb, and Ct are the length of log (m), the cross-sectional area at the base, and the cross-sectional area at the top respectively.</p><p>The volume of lumber pieces recovered from the log was measured and calculated as a percentage of LR from the conversion process. The WWG per log was the difference between the total volume of a log and the volume of recovered lumber. The data obtained were analyzed and presented using frequency and percentage with the aid of a statistical package for social science (SPSS) and charts were presented using Microsoft Excel, 2016.</p><fig id="figure-pm0hdo" ignoredToc=""><label>Figure 1</label><p>Figure 1 (a) Map of Nigeria indicating Ondo State</p><p>Figure 1 (b) Map of Ondo State showing all the local government areas (LGAs)</p><p>Figure 1 (c) Locations of the 23 mills</p><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4635" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><table-wrap id="table-1" ignoredToc=""><label>Table 1</label><caption><p>The GPS location of sawmills visited in Ondo State (Field survey)</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="center" valign="middle"><p>S/N</p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Local Government</p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Name of Sawmills</p></th><th colspan="2" rowspan="1" style="" align="center" valign="middle"><p>G.P.S Location </p><p>Latitude                       Longitude </p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle">Scale</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Akure South</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Aflag</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.32807</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.10891</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Amanda</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.28492</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.16786</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Elegusi</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25087</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.15698</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Iseoluwa</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25507</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.16356</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Adeniran</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25349</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.1372</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Okunbo</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25422</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.16067</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ayo sawmills</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25078</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.16512</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Chiab</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25286</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.13652</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Babatunde oyo</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.29167</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.1614</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ebube Sawmills</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25306</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.13683</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Holy Sawmills</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.24652</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.15748</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>2</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Akure North</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Tunji</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25272</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.3695</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Agro-Forestry</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25967</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.36396</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Williams</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25887</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.36506</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Azeez Sawmill</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.259</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.36481</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Elemo Sawmill</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25772</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.3703</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Divine Grace</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.25814</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">5.36446</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>3</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ondo West</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Akinfayomi</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.0661966</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.8349194</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Akinbolaji and Sons</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.049188</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.8369736</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Medium</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Anike</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.057565</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.8426903</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Alex martins Saw</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.0651521</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.8342368</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Small</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">HWP Wood Industry</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.1424775</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.893368</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>4</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ondo East</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Orbit Wood Industry</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">7.1360524</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">4.890516</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Large</p></td></tr></tbody></table></table-wrap></sec></sec><sec><title>3. Results</title><sec><title>3.1 Sawmill distribution in Ondo State</title><p><xref ref-type="fig" rid="figure-5">Figure 2</xref>reveals the distribution of sawmills in the Ondo State LGA obtained from primary data sources. It shows that 57 sawmills were found in Akure South and Owo respectively, 45 in Okitipupa, 44 in Idanre, 42 in Akure North, 40 in Odigbo, 23 in Ose, 13 in Akoko South West, 12 in Akoko Northwest, 10 sawmills each were established in Akoko North East, Ifedore, Ondo West, and the least number of sawmill are in Akoko south East with 4 sawmills.</p><fig id="figure-5" ignoredToc=""><label>Figure 2</label><caption><p>Distribution of sawmills in Ondo states (Sourced: Record of the Ministry of Forestry, Ondo State, Nigeria)</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4636" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><p>Akure South LGA has the highest number of sawmills (<xref ref-type="fig" rid="figure-5">Figure 2</xref>). This finding shows the distribution of sawmills in Akure South Local Government, Ondo State, Nigeria. 78% of sawmills are sighted on Ondo Road, 6.8% on Ilesha Road and Oda Road, 3.4% in Ipinsa, and 1.7% are found in Oke Odu, Irese, and Adofure respectively. Likewise, most sawmills in Akure South are small and medium, while few are categorised as large-scale. Also, the current status of the sawmills showed that in Ondo Road most of the sawmills are functioning, while 76.3% of the sawmills use the band saw machine (CD6) for the conversion of logs, 10.2% use circular saw and band saw machine, 6.8% of the sawmills use a circular saw and multiple edgers, and 5.1% uses multiple edgers.</p></sec><sec><title>3.2. Demographic Characteristics of Sawmills in Ondo State</title><p>The results of demographic characteristics of sawmills assessed in Ondo State show that 43.3% of sawmills in the four LGAs are established in Akure South, 33.3% in Akure North, 13.3% in Ondo West, while 10% are sighted in Ondo East. <xref ref-type="table" rid="table-2">Table 2</xref>, revealed that 37.9% of the sawmills are classified as small and medium scale respectively, while most of the workers in the sawmills and wood industries range from 31 to 40 years. The majority of the workers claimed to have a formal education. The finding shows that 41.7% of the sawmill workers earn above #50,000 as monthly income, and 20.8% earn #41,000 - #50,000. Likewise, 32% have worked with the wood industries for 11-20 years and 21 - 30 years respectively. A large amount of these results was obtained from the managers of the wood industries.</p><table-wrap id="table-2" ignoredToc=""><label>Table 2</label><caption><p>Demographic characteristics of Sawmills in Ondo State (Source: Field survey)</p></caption><table frame="box" rules="all"><thead><tr><th colspan="2" rowspan="1" style="" align="center" valign="middle"><p>-</p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle">Percent (%)</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Local Government Area</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ondo West</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">13.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Ondo East</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">10</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Akure South</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">43.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Akure North</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">33.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">100</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Scale</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Small</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">37.9</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Medium</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">37.9</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Large</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">24.1</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">100</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Age</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">21-30</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">11.5</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">31-40</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">42.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">41-50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">34.6</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">&gt;60</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">11.5</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">100</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Educational Background</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Primary</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">17.9</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Secondary</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">53.6</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Tertiary</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">28.6</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><break/><p>Monthly Income</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">100</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"/><td colspan="1" rowspan="1" style="" align="center" valign="middle">10,000 - 20,000</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">12.5</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">21,000 - 30,000</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">8.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">31,000 - 40,000</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">16.7</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">41,000-50,000</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">20.8</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">above 50,000</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">41.7</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Total</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">100</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Working experience</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">&lt;5 years</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">12</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">6-10 years</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">20</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">11-20 years</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">32</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">21 - 30 years</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>32</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">above 50 years</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>4</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>100</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Department in the Wood Industry</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Loggers</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>6.7</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Maintenance</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>3.3</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Sawmill</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">13.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">machine operator</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">16.7</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Manager</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">33.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Director</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">13.3</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Supervisor</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>3.3</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Contractor</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>6.7</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Log Supplier</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>3.3</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p/></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Total</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>100</p></td></tr></tbody></table></table-wrap></sec><sec><title>3.3. Assessment of Sawmills and Wood Industries in Ondo State</title></sec><sec><title>Determination of Sawmill Capacity of Production</title><p>The assessment of sawmills in the four LGAs revealed that a large number of sawmills in Ondo State operate on a small scale of production level. For primary log conversion, 41% of the sawmills have just a single band saw, 37% have two and only 11% have 3 or 4 bandsaws as shown in <xref ref-type="fig" rid="figure-4lmr14">Figure 3a</xref>. For secondary lumber conversion, 71% of the sawmills have only one circular saw, 17% have 2 circular saws and 12% have 3 circular saws as shown in <xref ref-type="fig" rid="figure-hajomi">Figure 3b</xref>.</p><fig id="figure-4lmr14" ignoredToc=""><label>Figure 3a</label><caption><p>Band saw</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4637" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-hajomi" ignoredToc=""><label>Figure 3b</label><caption><p>Circular Saw</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4638" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>3.4. Storage Capacity</title><p>The results of the log storage capacity of sawmills in Ondo State are illustrated in <xref ref-type="fig" rid="figure-3">Figure 5</xref>, 67% of the sawmills log yards have a small size land area and can only store about 350 logs, 25% have a medium size, and 8% are a large size that can store more than 1000 logs as shown in <xref ref-type="fig" rid="figure-fxt8be">Figure 4</xref>a. Likewise, 67% of sawmills received more than 5 trucks loaded with logs monthly as shown in <xref ref-type="fig" rid="figure-fxt8be">Figure 4</xref>b, while 63% of the sawmills processed above 20 logs in a day as shown in <xref ref-type="fig" rid="figure-fxt8be">Figure 4</xref>c, and 64 % of sawmills depend on individual and contractors for supplying of logs, 21 % obtained their logs from forest reserves, while 7% depends on both individual and reserves for the supplying of logs as shown in <xref ref-type="fig" rid="figure-fxt8be">Figure 4</xref>d.</p></sec><sec><title>3.5. Assessment of Wastes Generated from Sawmills</title><p>The study revealed that wastes generated by these sawmills consist of sawdust, wood offcut, slabs, trimmings, and bark of logs of wood as shown in<xref ref-type="fig" rid="figure-3">Figure 5</xref>. Wastes generated from these sawmills are of different (mixed) species. Based on the classification, these sawmills regarded sawdust as the only waste generated and others such as slab, trimmings, and offcut as residues because of their potential to be reused.</p><fig id="figure-fxt8be" ignoredToc=""><label>Figure 4</label><caption><p>(a) Log yard storage capacity; (b) Log received per month; and (c) Number of processed logs into sawn timber (Planks) per day; d) Source of logs for the mill (Source: Field Survey)</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4639" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-3" ignoredToc=""><label>Figure 5</label><caption><p>Mixed species Types of wastes Generated from sawmill activities (Source: Field Survey)</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4640" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>3.6. Lumber Recovery</title><p>The average percentage of wood waste generated per sawmill was 44%, while the average lumber recovered was 56%. There are significant variations in lumber recovery between small-sized mills in Ondo State. The low efficiency in lumber recovery (<xref ref-type="table" rid="table-3">Table 3</xref>) and high wood waste generated were attributed to poor maintenance of conversion machines and poor operator skills.</p><table-wrap id="table-3" ignoredToc=""><label>Table 3</label><caption><p>Type of machine, lumber recovery, % wood waste generated, and sawing pattern of selected sawmills in Ondo State</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="center" valign="middle"><p>Sawmill Code</p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle">Type of Machine</th><th colspan="1" rowspan="1" style="" align="center" valign="middle">% LR Lumber recovered</th><th colspan="1" rowspan="1" style="" align="center" valign="middle"><p>% WWG Wood</p><p>waste generated</p></th><th colspan="1" rowspan="1" style="" align="center" valign="middle">Sawing patterns</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>1</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">49.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">51.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>2</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">64.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">36.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Through &amp; Through</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>3</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">52.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">48.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>4</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">63.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">37.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Through &amp; Through</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>5</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">59.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">41.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>6</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">54.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">46.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>7</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">49.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">51.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>8</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">52.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">48.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>9</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">46.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">53.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Through &amp; Through</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>10</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">58.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">42.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Through &amp; Through</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>11</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">55.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">45.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>12</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">53.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">47.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>13</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">56.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">43.50</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>14</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">57.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">43.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle"><p>15</p></td><td colspan="1" rowspan="1" style="" align="center" valign="middle">CDC</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">59.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">41.00</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">Keating</td></tr></tbody></table><table-wrap-foot><p>Note: CDC (Cyclone Dust Collection) is the Manufacturer’s name for the dimension sawing machine used in the mill with the device that collects dust and chips during operation.</p></table-wrap-foot></table-wrap></sec><sec><title>3.7. Distribution of the volume of Lumber recovered</title><p>The distribution of logs and lumber volume recovery per month in fourteen (14) LGAs in Ondo state, Nigeria is illustrated in <xref ref-type="fig" rid="figure-6">Figure 6</xref>. The total volume of wood logs processed per month in Akoko North East is 420.01 m<sup>3</sup>, Akoko North West is 540.01 m<sup>3</sup>, Akoko South East is 160.00 m<sup>3</sup>, Akoko South West is 620.01 m<sup>3</sup>, Akure North is 2180.04 m<sup>3</sup>, Akure South is 3160.06 m<sup>3</sup>, Idanre is 1860.04 m<sup>3</sup>, Ifedore is 420.01 m<sup>3</sup>, Odigbo is 2560.05 m<sup>3</sup>, Okitipupa is 2320.05 m<sup>3</sup>, Ondo east is 320.01 m<sup>3</sup>, Ondo west is 420.01 m<sup>3</sup>, Ose is 1140.02 m<sup>3</sup> and Owo is 2820.06 m<sup>3</sup>. The results also revealed that Akure South has the highest total lumber recovery of 1896 m<sup>3</sup>, while Akoko South East has the least lumber recovery of 96.00 m<sup>3</sup> .Likewise, Akure South generated the highest volume of wood waste of 1264.03 m<sup>3</sup> per month with an estimated volume of sawdust generated 632.01 m<sup>3</sup>, followed by Owo with a total wood waste of 1128.02 m<sup>3</sup> with an estimated sawdust of 564.01 m<sup>3</sup>. Odigbo had a total wood waste of 1024.02 m<sup>3</sup> with estimated sawdust generated of 512.01 m<sup>3</sup>, Okitipupa local government with a total wood waste of 928.02 m<sup>3  </sup>with an estimated 464.01 m<sup>3</sup> of sawdust generated, Akure North with total wood wastes of 872.02 m<sup>3</sup> had 436.01 m<sup>3</sup> of sawdust generated, Idanre with total wood wastes of 744.02 m<sup>3</sup> and 372.01 m<sup>3</sup> of sawdust, Ose local government with total wood wastes 456.01 m<sup>3 </sup>and 228.01 m<sup>3</sup> of sawdust, Akoko southwest with total wood wastes of 248.01 m<sup>3</sup> and 124.00 m<sup>3</sup> of sawdust. Akoko North West with 248.01 m<sup>3</sup> volume of wood waste and 124.00 m<sup>3</sup> of sawdust while Akoko Northeast local government generated 168.00 m<sup>3</sup> of total wood waste and 84.00 m<sup>3</sup> of sawdust. Ondo West local government had total wood waste of 128.00 m<sup>3</sup>and 64.00 m<sup>3</sup> of sawdust while Ondo East generated total wood waste of 64.00 m3 with an estimated sawdust of 32.00 m<sup>3</sup>.</p><p>The illustration in <xref ref-type="fig" rid="figure-bvxytw">Figure 7</xref> shows the distribution of the wood wastes generated in a month from the sawmills in the four LGAs visited. Akure South generated the highest volume of wood waste 256.01 m<sup>3</sup> with an estimated 128.00 m<sup>3</sup>of sawdust, and Akure North generated total wood waste of 136.00 m<sup>3</sup> with an estimated 68.00 m3 of sawdust. Ondo West generated a total wood waste of 72.00 m<sup>3</sup> with an estimated sawdust of 36.00 m<sup>3</sup> while Ondo East generated a total wood waste of 64.00 m<sup>3</sup> with an estimated volume of 32.00 m<sup>3</sup> sawdust.</p><fig id="figure-6" ignoredToc=""><label>Figure 6</label><caption><p>Assessment of wood waste generated and volume recovery from sawmill activities in Ondo state sawmills</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4641" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-bvxytw" ignoredToc=""><label>Figure 7</label><caption><p>Wood wastes generated and lumber volume recovery from sawmill activities in Ondo State sawmills</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4642" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>3.8. Wastes Management Techniques.</title><p>The results presented in <xref ref-type="fig" rid="figure-7">Figure 8a</xref> show that 86% of these sawmills evacuate their wastes manually and 14% mechanically. In <xref ref-type="fig" rid="figure-j5rvpi">Figure 8b</xref>, 71% of these sawmills dispose of their waste by burning, 17%   reconvert or reuse the waste, 8% dump it on composting sites and 4% recycle their waste.  79% of these sawmills agreed that burning wastes as a means of disposal is not effective as shown in <xref ref-type="fig" rid="figure-2">Figure 9a</xref>. Wood waste generated in sawmills cannot be eliminated but can be significantly reduced by improving management techniques. Wood wastes are also used in the production of mosquito coils, preparation of chicken beds <xref ref-type="fig" rid="figure-0m6s7u">Plate 1</xref>, and culturing mushrooms. The report however showed that most of the sawmills give out their sawdust for free (<xref ref-type="fig" rid="figure-j5rvpi">Figure 8b</xref>) while other forms of waste such as wood off-cut, slabs, and trimmings are sold. The price of 2000kg (full Dyna lorry load) wood slabs ranges from #6000 to #10,000 in Ondo state.</p><fig id="figure-7" ignoredToc=""><label>Figure 8a</label><caption><p>Methods of Wastes Collection</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4643" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-j5rvpi" ignoredToc=""><label>Figure 8b</label><caption><p>Means of waste disposal</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4645" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-0m6s7u" ignoredToc=""><label>Plate 1</label><caption><p>Plate 1: Collection of wastes for chicken Bed (field survey)</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4646" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-2" ignoredToc=""><label>Figure 9a</label><caption><p>Effectiveness of methods of waste disposal</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4647" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-1" ignoredToc=""><label>Figure 9b</label><caption><p>Other uses of wood wastes</p></caption><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4648" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><fig id="figure-i72xdb" ignoredToc=""><label>Figure 10</label><caption><p>Seasonal Availability of wood wastes</p></caption><p>The monthly cost of waste disposal for 48 sawmills was #5,000-10,000. 40 sawmills spent #11,000-20,000, 8 spent above #20,000, and 4 sawmills spent less than #5,000 monthly.</p><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4649" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>Seasonal Availability of Wood Wastes</title><p>The results presented in <xref ref-type="fig" rid="figure-i72xdb">Figure 10</xref> show the seasonal availability of wood wastes in Ondo State. There is a reduction in the volume of wood waste available from June to September due to the supply of logs that reduced drastically during the rainy season.</p></sec><sec><title>3.9. Promptness of Supply of Feedstock to Gasifier Plant</title><p>The results of the study have proved the availability of wood wastes in Ondo State at various degrees. However, worthy of mention is the promptness in the supply of the waste in the form needed by the gasifier when required. To ensure a sustainable supply of this waste, Ondo State has been classified into three major groups (<xref ref-type="fig" rid="figure-hbyndw">Figure 11</xref>) based on nearness to the Gasifier plant:</p></sec><sec><title>Group A: Close to Gasifier Plant</title><p>Sawmills in five LGAs namely; Akure South, Akure North, Owo, Ose, Ondo West, Ifedore, Ondo East, and Idanre have been identified as points where materials could be sourced within the shortest possible time and supplied to the base.</p></sec><sec><title>Group B: Distance Away from the Gasifier</title><p>This group is further divided into two;</p><p>B1. In the Northern Zone, All the sawmills in Akoko South West, Akoko North East, Akoko South East, and Akoko North West are in this category. It is suggested that a collection point be created at Ikare Akoko before transportation to Akure.</p><p>B2. The Southern Zone, All the sawmills in Odigbo, and Okitipupa are in this category. It is suggested that a collection Centre be created at Ore town before transportation to Akure</p><fig id="figure-hbyndw" ignoredToc=""><label>Figure 11</label><caption><p>Map showing the Promptness of Supply of Feedstock to the Gasifier Plant</p></caption><p>Keys: Group A: LGAs closer to the gasifier; Group B1 and B2: LGAs distance away from the gasifier; No mills are LGAs in Ondo State without a sawmill.</p><graphic xlink:href="https://press.ierek.com/index.php/ESSD/article/download/1144/1181/4650" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig></sec></sec><sec><title>4. Discussion</title><p>This literature review (<xref ref-type="table" rid="table-4">Table 4</xref>) highlights the critical role of renewable energy sources and sustainable practices in addressing global energy and environmental challenges. Renewable power sources are increasingly recognized as viable solutions to reduce dependency on fossil fuels and mitigate their environmental impacts {B.P. Economics, 2018; <xref ref-type="bibr" rid="BIBR-28">(Newell &amp; Raimi, 2020)</xref>}. However, the adoption of energy-efficiency measures is often impeded by high investment costs, a barrier consistently reported across decades of research {<xref ref-type="bibr" rid="BIBR-11">(Fleiter et al., 2012)</xref>; <xref ref-type="bibr" rid="BIBR-16">(Hirshberg, 1976)</xref>; <xref ref-type="bibr" rid="BIBR-9">(Faiers &amp; Neame, 2006)</xref>}. While sustainable practices such as energy efficiency improvements and waste reduction can lower production costs and enhance resource utilization <xref ref-type="bibr" rid="BIBR-14">(Hannan et al., 2020)</xref> <xref ref-type="bibr" rid="BIBR-44">(Pimenov et al., 2022)</xref>, the lack of consensus on strategies for implementing RERs remains a significant challenge to achieving the United Nations Sustainable Development Goals <xref ref-type="bibr" rid="BIBR-35">(Olabi et al., 2023)</xref> <xref ref-type="bibr" rid="BIBR-49">(Wang et al., 2022)</xref> <xref ref-type="bibr" rid="BIBR-15">(He et al., 2022)</xref>.</p><p>In Nigeria, wood waste mismanagement represents a serious environmental threat, despite its abundance <xref ref-type="bibr" rid="BIBR-51">(Sambo, 2009)</xref> <xref ref-type="bibr" rid="BIBR-32">(Ogunwusi, 2014)</xref> <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref> <xref ref-type="bibr" rid="BIBR-1">(Akhator et al., 2017)</xref> <xref ref-type="bibr" rid="BIBR-30">(Nwankwo et al., 2023)</xref>. Transforming wood waste into biomass for bioenergy presents an opportunity to address this issue while providing a sustainable energy source, particularly in the building sector. This solution is especially relevant in Nigeria, where rapid population growth has led to increased energy demands <xref ref-type="bibr" rid="BIBR-24">(Maier, 2022)</xref> <xref ref-type="bibr" rid="BIBR-3">(Akintande et al., 2020)</xref> <xref ref-type="bibr" rid="BIBR-50">(Xie et al., 2023)</xref> <xref ref-type="bibr" rid="BIBR-17">(Izuora, 2022)</xref>. By integrating innovative energy strategies and resource optimization, institutions in Nigeria can simultaneously tackle environmental challenges and enhance energy security.</p><table-wrap id="table-4" ignoredToc=""><label>Table 4</label><caption><p>Literature review</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="center" valign="middle">Findings</th><th colspan="1" rowspan="1" style="" align="center" valign="middle">Literature</th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">Renewable power generation sources are increasingly identified as viable solutions to reduce; the heavy reliance on fossil fuels</td><td colspan="1" rowspan="1" style="" align="center" valign="middle">B.P. Economics, 2018; <xref ref-type="bibr" rid="BIBR-28">(Newell &amp; Raimi, 2020)</xref></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">Sustainable practices such as energy efficiency improvements, waste reduction, and resource optimisation can lead to substantial reductions in the cost of production.</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><xref ref-type="bibr" rid="BIBR-32">(Ogunwusi, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-1">(Akhator et al., 2017)</xref>; <xref ref-type="bibr" rid="BIBR-14">(Hannan et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-44">(Pimenov et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-48">(Tormade &amp; Chiekezie, 2024)</xref></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">The high investment cost is a key factor impeding the adoption of energy-efficiency measures.</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><xref ref-type="bibr" rid="BIBR-16">(Hirshberg, 1976)</xref>; <xref ref-type="bibr" rid="BIBR-11">(Fleiter et al., 2012)</xref>; <xref ref-type="bibr" rid="BIBR-9">(Faiers &amp; Neame, 2006)</xref></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">The rise in the use of Renewable Energy is pivotal to achieving the United Nations SDGs, but effective strategies for their implementation remain contested.</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><xref ref-type="bibr" rid="BIBR-35">(Olabi et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-49">(Wang et al., 2022)</xref>; <xref ref-type="bibr" rid="BIBR-15">(He et al., 2022)</xref></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">Wood waste mismanagement is a serious environmental threat owing to its availability in Nigeria.</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><xref ref-type="bibr" rid="BIBR-51">(Sambo, 2009)</xref>; <xref ref-type="bibr" rid="BIBR-32">(Ogunwusi, 2014)</xref>, <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref>; <xref ref-type="bibr" rid="BIBR-1">(Akhator et al., 2017)</xref>; <xref ref-type="bibr" rid="BIBR-30">(Nwankwo et al., 2023)</xref></td></tr><tr><td colspan="1" rowspan="1" style="" align="center" valign="middle">The utilization of wood waste as biomass for bioenergy offers a sustainable energy solution, addressing both environmental concerns in the building sector and Nigeria's rising energy demands driven by population growth.</td><td colspan="1" rowspan="1" style="" align="center" valign="middle"><xref ref-type="bibr" rid="BIBR-24">(Maier, 2022)</xref>; <xref ref-type="bibr" rid="BIBR-3">(Akintande et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-50">(Xie et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-17">(Izuora, 2022)</xref></td></tr></tbody></table></table-wrap><p>Considering the distribution of sawmills in Akure South LGA with the potential of generating high quantities of wood waste in each region, the efficient utilization of this wood waste for energy generation will play a pivotal role in addressing the environmental and energy challenges posed by these regional disparities <xref ref-type="bibr" rid="BIBR-7">(Bais-Moleman et al., 2018)</xref>.</p><p>This finding of the sawmill production capacity indicates a notable lack of advanced and high-capacity machinery within the primary conversion stage of mills within the study area. This suggests that their production is on the small to medium production capacity. This is in line with the study of <xref ref-type="bibr" rid="BIBR-20">(Kehinde et al., 2010)</xref> that both small- and medium-scale dominated sawmills in Ondo and Osun states, Nigeria. On average, less than 10% of these mills are capable of storing more than a thousand logs in their log yards for future production when the harvest of logs from the forest is difficult and the majority of the mills are capable of converting more than twenty logs per day as they depend on individuals and contractor for log supply. The study showed that the supply of logs reduced drastically during the rainy season. It also revealed that log haulage in the state was also affected by Government policy, this is in agreement with the findings of <xref ref-type="bibr" rid="BIBR-38">(Omole &amp; Imoh, 2011)</xref> that the sustainability of the forest estate is largely dependent on government policy. Majorly, wastes generated from these sawmills are of different mixed species and regarded sawdust as the dominant waste which can be gotten with no cost while others such as slabs, trimmings, and offcuts as residues because of their potential to be reused are made available with a price. This corroborates with the findings of <xref ref-type="bibr" rid="BIBR-31">(Ogunbode et al., 2013)</xref> and <xref ref-type="bibr" rid="BIBR-2">(Akinbode &amp; Olujimi, 2014)</xref>.</p><p>The findings from this study showed that In Ondo State, improper handling of wood waste poses a major environmental risk as wood waste management practices, which include the collection, disposal, recycling, and reuse of wood waste, are ineffective and inadequate, as evidenced by the obvious disposal of wood waste on streets, in water bodies, and open air. This study corroborates the work of <xref ref-type="bibr" rid="BIBR-30">(Nwankwo et al., 2023)</xref> in Niger State, Nigeria improper wood waste management practices in the state also present major environmental risks. The lack of efficient systems for wood waste collection, recycling, and disposal threatens not only environmental balance but also the sustainability of timber forests and public health. Wood wastes are generated in the day-to-day wood processing activities in sawmills and furniture manufacturing industries <xref ref-type="bibr" rid="BIBR-42">(Owoyemi et al., 2016)</xref> <xref ref-type="bibr" rid="BIBR-1">(Akhator et al., 2017)</xref> <xref ref-type="bibr" rid="BIBR-30">(Nwankwo et al., 2023)</xref>. These processing activities range from conversion of logs, ripping, planning, turning and sanding. A very large volume of the log turns out to be wasted during primary conversion as lumber recovered is less than 60% with a significant difference between the types of mills as those with wear-out conversion machines operating on the small scale level tend to produce more waste during conversion. The low mean conversion efficiency of 56% recorded for the mills is in the same range as earlier reports {<xref ref-type="bibr" rid="BIBR-6">(Badejo &amp; Giwa, 1985)</xref>; <xref ref-type="bibr" rid="BIBR-12">(Fuwape, 1986)</xref>; <xref ref-type="bibr" rid="BIBR-37">(Oluoti, 2014)</xref>}. <xref ref-type="bibr" rid="BIBR-43">(Peterson et al., 2015)</xref> described that the reduction of the magnitude of wood supply by mills depends largely on the volume and sizes of wood supplied to the mill, and other competing management objectives. These large amounts of wood waste generated during wood processing activities are mostly dumped on allocated sites to decay. This is not the case for developed countries, where all types of waste have designated dumpsites and storage facilities where they are sorted, treated and recycled or reused. For the effective utilization of wood waste in bioenergy generation in Nigeria the waste management definition of <xref ref-type="bibr" rid="BIBR-41">(Ormondroyd et al., 2016)</xref> must be given full consideration stating that wood waste management is the collection, refurbishing, recycling, reuse and proper disposal of wood residues. Studies have shown that wood waste recycling and reuse will help create a sustainable environment. However, numerous wood mills in Nigeria have yet to adopt advanced processing of wood waste due to the high cost of the technology and the limited financial returns from processed wood waste <xref ref-type="bibr" rid="BIBR-23">(Larinde &amp; Aiyeloja, 2014)</xref>. The study by <xref ref-type="bibr" rid="BIBR-46">(Rawat et al., 2023)</xref> revealed that maximizing the lumber recovery rate of Cupressus lusitanica in Ethiopia can increase sawmill profitability, reduce climate change impacts, and promote sustainable forestry and biodiversity conservation.</p><p>An assessment of sawmills and wood industries in Ondo State reveals that 84% are willing to collaborate with stakeholders who utilize wood waste, particularly sawdust, as raw materials or for waste management purposes. This willingness extends to offering these materials at minimal or no cost to enhance the efficiency and sustainability of waste management efforts. This is in line with the finding of <xref ref-type="bibr" rid="BIBR-29">(Nnaji &amp; Udokpoh, 2022-04)</xref> that Sawdust is the most common type of wood waste in the Enugu Timber Market, with open dumping and burning being the most prevalent methods of disposal, causing negative environmental effects and health problems. The study of <xref ref-type="bibr" rid="BIBR-47">(Rominiyi et al., 2017)</xref> agreed that all readily recovered wood waste could be absorbed by the industry for energy supply. This led to greater attention being paid to the possibility of utilising wood wastes in energy generation which otherwise would be wasted. Also, solving the problem of increasing costs, crisis and depletion of energy from conventional sources over the past few years has reawakened interest in the development of alternative sources of energy. <xref ref-type="bibr" rid="BIBR-26">(Mydlarz &amp; Wieruszewski, 2022)</xref> further explained in their study that sawmills can use wood waste and by-products for energy, promoting a circular economy and economic efficiency, regardless of government decisions when considering the potential and possibilities of using wood waste and wood by-products generated at various stages of production in companies of the wood industry for energy purposes. The article demonstrates that, regardless of government policies on environmental protection, institutions have the autonomy to adopt pro-environmental practices as part of their operations. This study highlights the feasibility of its objective, emphasizing the abundant availability of wood waste in Nigeria. It suggests that institutions such as the Federal University of Technology, Akure, along with other academic establishments, can sustainably generate electric energy entirely from wood waste collected within Akure and its surrounding areas. The supply of logs is limited because of changes in seasons as wood supply to the mills is reduced drastically during the rainy season. The study by <xref ref-type="bibr" rid="BIBR-34">(Okon, 2018)</xref> states that sustainable wood harvesting in Nigeria's tropical rainforest requires proper management methods, including the construction of landing sites and training for operators, to minimize damage and promote forest regeneration. Therefore, to ensure that the Gasifier runs non-stop, collection of wood waste for feedstock should be done regularly and more vigorously during the dry season and deposited to the three location points (i.e. Akure, Ikare, and Ore) and move on schedule from the two outer locations to Akure. Regular stocking will ensure enough materials are in stock for use during the rainy season when sawmill activities are at the lowest ebb.</p><p>The production and utilization of alternative energy sources are increasingly gaining attention. With traditional energy sources like gas, oil, and coal being non-renewable and finite, the need to explore sustainable alternatives has become more pressing. The abundant generation of wood waste in Nigeria presents a significant opportunity for institutions like the Federal University of Technology, Akure, to establish a reliable source of renewable energy. With proper collection, processing, and utilization of wood waste, including sawdust and offcuts from local sawmills, the institution can create a sustainable energy system that addresses both environmental and energy challenges. This approach not only reduces dependence on non-renewable energy sources but also mitigates the environmental hazards associated with improper wood waste disposal, such as pollution and deforestation, positioning the institution as a leader in renewable energy innovation. <xref ref-type="bibr" rid="BIBR-10">(Farjana et al., 2023)</xref> described that all wood wastes have great potential to produce energy while reducing climate change impact, with hardwood and softwood products showing the most beneficial aspects. Carbon dioxide emissions from traditional energy sources are significantly higher than those from biofuels, making them a promising alternative energy source {<xref ref-type="bibr" rid="BIBR-10">(Farjana et al., 2023)</xref>; <xref ref-type="bibr" rid="BIBR-40">(Opara, 2021)</xref>; <xref ref-type="bibr" rid="BIBR-21">(Kim &amp; Song, 2014)</xref>}.</p></sec><sec><title>5. Conclusions</title><p>The generation of wood waste is inevitable but can be reduced through improved management techniques. This study revealed that a larger percentage of the sawmills in Ondo State operate on a small scale and generate large quantities of waste daily. The seasonal variations in the volume of log conversion affected the volume of wood waste.</p><p>The result showed that 40 to 44% of the total volume of a log converted in the mills ends up as wood waste. The high quantity of wood waste and low lumber recovery were functions of the shape of the log, the size of the log, and the conversion technique. The sawmills in Akure South local government have the highest log conversion capacity and the largest quantity of wood waste. The high values of wood waste generated per sawmill and low values of lumber recovery implied that the log conversion technique in the state is generally poor. This wood waste generated is also not efficiently managed for optimum utilization. Most of the mills regarded only sawdust as waste while other residues such as wood cut-off, slabs, and bark of logs of woods are sold out. The sawdust is disposed of at low costs for domestic uses, dumped in landfills, or burnt at mill sites. This study confirmed that the wood wastes can be used as feedstock in the mini-grid gasifier for generating electricity at the Federal University of Technology, Akure.</p></sec><sec><title>Acknowledgements</title><p>The authors acknowledge the Tertiary Education Trust Fund (TETFund-NRF), Nigeria, for financial support.</p><sec><title>Funding declaration</title><p>This research was funded by the Tertiary Education Trust Fund (TETFund-NRF), Nigeria.</p></sec><sec><title>Conflict of interest:</title><p>The author(s) declare that there is no competing interest.</p></sec></sec></body><back><ref-list><title>References</title><ref id="BIBR-1"><element-citation publication-type="article-journal"><article-title>Nigeria wood waste: A potential resource for economic development</article-title><source>Journal of Applied Science and Environmental Management</source><volume>21</volume><issue>2</issue><person-group 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