<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1105902</article-id><article-id pub-id-type="publisher-id">OALibJ-97739</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Assessment of the Energy Potential of Municipal Solid Waste (MSW) in Freetown, Sierra Leone
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andy</surname><given-names>Otis Ngegba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Akopon</surname><given-names>J. Bertin</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Notre Valeur Resource to Treasure (NoVReT) SL. Ltd., Freetown, Sierra Leone</addr-line></aff><aff id="aff2"><addr-line>ICAP at Columbia University, New York, USA</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>01</month><year>2020</year></pub-date><volume>07</volume><issue>01</issue><fpage>1</fpage><lpage>15</lpage><history><date date-type="received"><day>5,</day>	<month>November</month>	<year>2019</year></date><date date-type="rev-recd"><day>6,</day>	<month>January</month>	<year>2020</year>	</date><date date-type="accepted"><day>9,</day>	<month>January</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Electricity supply in Freetown has been unreliable partly due to lack of sus-tainable alternative generation sources, and the city is beset by poor waste management system, which has led to indiscriminate waste disposal since the end of the country’s civil war in 2002, contributing to air and water pollution. This necessitates the need for research and development on Waste-to-Energy (WtE) technologies. Waste generation was estimated using population data from Statistics Sierra Leone (SSL), and analysed using reasonable assumptions and theories based on previous studies, and information on waste generatio
  n per capita was collected from publications and grey literatures. Energy poten-tial was estimated from the amount of waste by component and their fuel characteristics to calculate the Lower Calorific Value (LCV) for each waste category. The weighted LCV of each waste component was then calculated and added to get the LCV of the overall waste stream. The study revealed that with the population of Freetown estimated at about 1,200,000, and a waste generation per capita per day of 0.5 kg, at least 600 metric tons of waste could be generated per day or 219,000 metric ton of waste annually. About 83% of this waste is combustible, and with an overall (LCV) of 6.4 MJ/kg, the energy potential was estimated at 398.2 kWh per ton of waste, (enough to meet the electricity needs of about 50 Freetown homes in one day). This result could inform policy makers and developers that the energy sector of Sierra Leone and other developing countries with similar waste characteristics could be diversified by utilising waste resources.
 
</p></abstract><kwd-group><kwd>Electricity Generation</kwd><kwd> Lower Calorific Value (LCV)</kwd><kwd> Waste Management</kwd><kwd> Waste-To-Energy</kwd><kwd> Freetown</kwd><kwd> Population</kwd><kwd> Waste Generation Per Capita</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The shocking statistics on electricity access and poor waste management system have been crucial challenges in Sierra Leone that motivated this study on Waste-to-Energy (WtE), a concept of utilising the energy potential of waste to produce heat, electricity and biogas. It is an alternative means of electricity generation capable of gradually reducing the need for waste disposal on uncontrolled dumpsites [<xref ref-type="bibr" rid="scirp.97739-ref1">1</xref>]. Various methods of converting MSW into energy are used depending on energy requirement, waste availability, composition and characteristics, but they are all based on two fundamental principles; firstly, by burning waste to generate heat that is used to convert water into steam, which drives a steam turbine to produce electricity, which is also referred to as a thermochemical process, and secondly by converting waste into gas or biofuel, referred to as a biochemical process [<xref ref-type="bibr" rid="scirp.97739-ref2">2</xref>]. MSW in this context refers to the waste collected from households, public institution, schools, and commercial premises that are disposed of on dumpsites excluding human feces [<xref ref-type="bibr" rid="scirp.97739-ref3">3</xref>]. Energy production in Sierra Leone has been focused mainly on electricity generation from fossil fuels, solar and hydro power plants for lighting up homes, commercial institutions and some industries, but there has not been any waste-to-energy facility.</p><p>The need for sustainable means of producing energy to meet the growing energy demand around the world has attracted research interests on the energy potentials of various kinds of waste, and there have been growing interests in recovering the energy potentials from MSW, which has been considered as an effective way of reducing residual waste, with the added benefit of providing renewable energy to supplement conventional supplies [<xref ref-type="bibr" rid="scirp.97739-ref4">4</xref>]. Although there have been efforts in conducting research on WtE potentials in Africa, article publications and grey literature that have focused on the same in Sierra Leone are almost non-existent. This absence of literature on waste-to-energy in Sierra Leone motivated this study, which sets to contribute to our understanding of how waste could be utilised to improve electricity generation capacity in Freetown and how WtE could gradually eliminate the need for uncontrolled dumpsites in the capital city. This could be the first evidence-based research to focus entirely on utilising waste resources to complement other sources of grid electricity in Sierra Leone that could raise awareness for energy stakeholders to focus on WtE for the improvement of the country’s energy sector. The scope of this paper was to assess the MSW situation in Freetown in terms of volume and composition and to determine how much energy could be recovered from it on a daily basis. Freetown was chosen because it is the capital city of Sierra Leone, where uncontrolled waste disposal has damaged its aesthetic value much to the inconvenience of its inhabitants. Freetown also experiences irregular electricity supply that has been forcing businesses and public institutions to always prepare for power cuts and rationing of electricity supply.</p><p>Limited access to energy is not only an obstacle to industrialization; it also reduces attraction to local and foreign investment, and severely affect productivity, educationally and economically. The World Bank Sustainable Energy for All database on access to electricity revealed that only about 23.4% of Sierra Leone’s population has access to grid electricity [<xref ref-type="bibr" rid="scirp.97739-ref5">5</xref>], one of the worst in the world, and the 2019 Energy Progress Report revealed that less than 10% of Sierra Leone’s population have access to clean cooking fuels and technologies [<xref ref-type="bibr" rid="scirp.97739-ref6">6</xref>]. About 80% of the energy supply in Sierra Leone comes from biomass, but consumed through inefficient burning of mainly firewood and charcoal for cooking [<xref ref-type="bibr" rid="scirp.97739-ref7">7</xref>]. According to the 2015 population and housing census, 64.7% of households rely on firewood for cooking, 32.1% uses charcoal while the other sources including gas, kerosene, electricity, etc. account for only 3.2% [<xref ref-type="bibr" rid="scirp.97739-ref8">8</xref>].</p><p>A major challenge in addressing limited access to electricity is the lack of commitment in utilising alternative energy sources that are also environmentally friendly to diversify our energy sector, one of such resource is Municipal Solid Wastes (MSW). This lack of commitment is directly linked with weak and ineffective energy and environmental policies that could lead to research and development towards alternative sources of energy. In 2013, it was recorded that about 900 - 1000 metric ton of unsorted waste was generated in Freetown per day, but only about 40% was collected and disposed in two recognised but uncontrolled dumpsites [<xref ref-type="bibr" rid="scirp.97739-ref9">9</xref>]. The waste collected and disposed on these dumpsites will accumulate and eventually lead to environmental degradation through the release of contaminants including greenhouse gases.</p><p>The energy potential of a fuel is a measure of its Calorific Value [<xref ref-type="bibr" rid="scirp.97739-ref10">10</xref>] ; the amount of energy released in Joules (J) from the combustion of a unit weight of waste, measured in J/kg [<xref ref-type="bibr" rid="scirp.97739-ref11">11</xref>]. Thus, the Lower Calorific Value (LCV) and not the Higher Calorific Value (HCV) is required to determine the energy potential of MSW because waste develops HCV if the latent heat of steam is recovered as in calorimeter experiments, but for normal combustion, the LCV is obtained because the latent heat is lost when water leaves as steam. The calorific value is influenced by waste composition and characteristics such as moisture and combustible content, as shown in <xref ref-type="table" rid="table1">Table 1</xref>, which makes the energy potential vary from one country to another. For the MSW to be suitable for combustion the overall LCV should always be at least between 6 - 7 MJ/kg [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>]. In the case of coal fuel, a typical value is approximately 30 MJ/kg while for oil; the value is about 40 MJ/kg. These values can be compared with that for MSW of about 10 MJ/kg, which has increased about 20% since the early 1970s, because of factors such as the decreasing quantity of ash in the waste from coal fires, and the increasing</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Typical fuel characteristics of solid waste components and energy potential [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Component</th><th align="center" valign="middle" >Moisture %W</th><th align="center" valign="middle" >Ash %A</th><th align="center" valign="middle" >Combustible %C</th><th align="center" valign="middle" >H<sub>awf</sub><sub> </sub>(kJ/kg)</th><th align="center" valign="middle" >H<sub>low</sub> (kJ/kg)</th><th align="center" valign="middle" >Electrical energy equivalent (kWh/kg)</th><th align="center" valign="middle" >Energy in a year (kWh/kg)</th></tr></thead><tr><td align="center" valign="middle" >Food and organic waste (to be analyzed in each case)</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >20,000</td><td align="center" valign="middle" >2586</td><td align="center" valign="middle" >0.718</td><td align="center" valign="middle" >6293</td></tr><tr><td align="center" valign="middle" >Paper and cardboard</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >19,000</td><td align="center" valign="middle" >7781</td><td align="center" valign="middle" >2.161</td><td align="center" valign="middle" >18,933</td></tr><tr><td align="center" valign="middle" >Rubber and leather</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >25,000</td><td align="center" valign="middle" >15,481</td><td align="center" valign="middle" >4.300</td><td align="center" valign="middle" >37,671</td></tr><tr><td align="center" valign="middle" >Textiles</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >19,000</td><td align="center" valign="middle" >11,163</td><td align="center" valign="middle" >3.101</td><td align="center" valign="middle" >27,164</td></tr><tr><td align="center" valign="middle" >Wood</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >19,000</td><td align="center" valign="middle" >10,544</td><td align="center" valign="middle" >2.929</td><td align="center" valign="middle" >25,658</td></tr><tr><td align="center" valign="middle" >Glass</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >−73</td><td align="center" valign="middle" >−0.020</td><td align="center" valign="middle" >−178</td></tr><tr><td align="center" valign="middle" >Metal</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >−147</td><td align="center" valign="middle" >−0.041</td><td align="center" valign="middle" >−357</td></tr><tr><td align="center" valign="middle" >Inert</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >−245</td><td align="center" valign="middle" >−0.068</td><td align="center" valign="middle" >−595</td></tr><tr><td align="center" valign="middle" >Fines (&lt;12 mm mesh)</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >15,000</td><td align="center" valign="middle" >2518</td><td align="center" valign="middle" >0.699</td><td align="center" valign="middle" >6126</td></tr><tr><td align="center" valign="middle" >Polystyrene (wrapping)</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >63</td><td align="center" valign="middle" >40,000</td><td align="center" valign="middle" >24,491</td><td align="center" valign="middle" >6.803</td><td align="center" valign="middle" >59,595</td></tr></tbody></table></table-wrap><p>proportion of dry packing material [<xref ref-type="bibr" rid="scirp.97739-ref10">10</xref>]. <xref ref-type="table" rid="table1">Table 1</xref> shows the typical ash and water free CVs (Hawf) of solid waste components, and Equation (1) shows how the LCV is calculated when Hawf is known [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>]. Equation (1) shows that the LCV increases with increase in the combustible fraction and decreases if the moisture content increases. Maintaining the LCV is therefore crucial in ensuring a stable energy output.</p><p>Analysis by [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>] and [<xref ref-type="bibr" rid="scirp.97739-ref13">13</xref>] produced results that show the typical theoretical energy potential of 1 kg of various components of MSW as shown in <xref ref-type="table" rid="table1">Table 1</xref>. For every 1kg of food and organic waste, 0.718 kWh of electrical energy could be produced, which will amount to 17.24 kWh per day (24 hours). Assuming the average consumption of homes in Freetown is 6 kWh per day, this could provide the electricity needs of a home for about three (3) days.</p><p>H l o w = H a w f ∗ C − 2445 ∗ W ( kJ / kg ) (1)</p><p>H<sub>low</sub>: LCV.</p><p>H<sub>awf</sub>: Ash and water free C.</p><p>C: Combustible fraction.</p><p>W: Moisture content.</p><p>Different studies have produced various estimates of the energy potentials of MSW. Reference [<xref ref-type="bibr" rid="scirp.97739-ref14">14</xref>] assessed the waste-to-energy potential in middle income countries of Middle East and North Africa (MENA) by evaluating multiple waste management scenarios involving incineration and anaerobic digestion, in which the average Lower Heating Value was estimated at 14.2 MJ/kg, giving an energy potential of 597 kWh per ton of incinerated waste by total mass-burning, while for the incineration by non-recyclable mass-burning scenario, the energy potential was about 545 kWh per ton of incinerated waste. The estimated energy potential was higher in a study conducted by [<xref ref-type="bibr" rid="scirp.97739-ref15">15</xref>], in which mathematical models were used to estimate the energy recovery and biogas generation potentials and concluded that, by thermochemical processes, the estimated energy potential was 5970 kWh per ton of MSW, and 62 kWh per ton of MSW by using biochemical processes. An assessment at the African level revealed that the electricity production potential from the total waste generated in Africa was 62.5 TWh in 2012 and could increase up to 122.2 TWh in 2025, but by considering the actual waste collected, the potential was estimated at 34.1 TWh in 2012 and projected to reach 83.8 TWh in 2025 [<xref ref-type="bibr" rid="scirp.97739-ref16">16</xref>].</p><p>Despite the differences in energy potentials estimated by various studies, some of which were cited above, there is an indication that energy from waste could be an integral part of the energy mix in Africa. The barriers that hinder the adoption of WtE technologies have been discussed extensively in literature, and according to [<xref ref-type="bibr" rid="scirp.97739-ref17">17</xref>], “the critical barriers are poor institutional framework and infrastructure, weak environmental policies, inadequate planning policies, non-implementation of existing policies, and lack of coordination and linkages in WtE programs”. Other key issues are high initial capital cost of installation and lack of skilled human resource. According to a review by [<xref ref-type="bibr" rid="scirp.97739-ref17">17</xref>], important lessons for successful WtE programs have been categorized under four principal areas: enacting energy and environmental policies, rolling out economic and financial policies, and promoting research and development. Reference [<xref ref-type="bibr" rid="scirp.97739-ref18">18</xref>] asserted that the commitment of governments and their ministries/agencies in charge of energy, agriculture, science, technology, environment and local government are of the utmost importance to the promotion of WtE projects in Africa, by making proper long-term objectives with appropriate planning and strategies for WtE development on the continent [<xref ref-type="bibr" rid="scirp.97739-ref19">19</xref>].</p><p>WtE by combustion has been the focus of this study because it has proven to be a suitable alternative to the use of conventional fossil fuels to generate heat and electricity [<xref ref-type="bibr" rid="scirp.97739-ref3">3</xref>] in a good number of European countries since the end of the nineteenth century, and is capable of reducing waste volume by 90% [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>]. In a review of municipal solid waste-to-energy trends in the USA by [<xref ref-type="bibr" rid="scirp.97739-ref20">20</xref>], it was highlighted that there are regional contrasts on technology adoption, unique challenges of each technology, commonly used decision support tools, and major operators, and only about 13% of MSW is used for energy recovery and 53% is landfilled. Nonetheless, it was concluded that adoption of thermal WTE technologies in US could continue to increase, albeit slowly, in coastal and urban areas lacking suitable lands for new landfills. There are about 492 WtE plants operating in Europe not including harzadous waste incineration plants, thermally treating about 96 million metric ton of waste, with the leaders being France with 126 WtE plants, Germany, 96, UK, 40, Italy, 39, and Sweden, 34, etc. [<xref ref-type="bibr" rid="scirp.97739-ref21">21</xref>]. According to United Nations Environment, the amount of waste incinerated for energy recovery represents about 25% of MSW generated in Europe [<xref ref-type="bibr" rid="scirp.97739-ref22">22</xref>], but this number of WtE plants in Europe is expected to increase as the search for alternatives to fossil fuel-based energy intensifies. In Africa, a 500-metric ton per day of MSW biogas facility was opened in South Africa in January 2017, which has been referred to as the first major WtE facility in Africa [<xref ref-type="bibr" rid="scirp.97739-ref23">23</xref>], and in Ethiopia, a 50 MW WtE facility has commenced operation in 2018, converting about 80% of the city’s waste that would have otherwise ended up on uncontrolled dumpsites into electricity to provide the electricity needs of 30% of households in Addis Ababa [<xref ref-type="bibr" rid="scirp.97739-ref22">22</xref>]. There has also been some commitment demonstrated in some African countries through ongoing research and development work for the establishment of WtE by combustion facilities.</p><p>To this end, as Sierra Leone has struggled for a stable economy, proper waste management system, and stability in electricity supply, it is important to find a cheaper and more reliable means of generating electricity. Energy from waste will not only increase the electricity generation capacity in Sierra Leone, it will provide the much-needed waste management solution in Freetown, and will contribute to the development of a circular economy system [<xref ref-type="bibr" rid="scirp.97739-ref24">24</xref>]. A system wherein resources are kept in use for as long as possible, their maximum value extracted, and then recover and regenerate products and materials at the end of their service life [<xref ref-type="bibr" rid="scirp.97739-ref25">25</xref>], as opposed to the make, use and dispose or linear economy system.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Data Collection and Analysis</title><p>The method for the estimation of energy potential of waste is dependent on the type of conversion technology. In this paper, the estimation was done for WtE by combustion because of its capability to reduce waste volume while directly producing electricity. The method used to collect data was by reviewing existing literature, observation, and studying reports from institutions working on waste management technologies. The analysis of the solid waste situation in Freetown was done based on reasonable assumptions and estimations, theories, previous studies and information from industries due to lack of data from local waste management authorities, which is an established method according to [<xref ref-type="bibr" rid="scirp.97739-ref26">26</xref>]. Data from population and housing census, previous studies on waste management in Sierra Leone, and information on waste generation per capita from publications by international agencies were also used. The estimation was done to obtain the trend of waste generation from 2004 and projected up to 2027, using a population growth rate according to Statistics Sierra Leone. The year 2004 was chosen because a study was conducted by [<xref ref-type="bibr" rid="scirp.97739-ref27">27</xref>], in which waste generation per capita was estimated to be 0.45 kg per capita per day, but had the possibility of increasing due to economic growth and improved living standard. A projection of waste generation was done up to 2027 to get a medium-term knowledge of the situation, as well as what the worst case could be by examining three scenarios, which are described in section four. Data on waste composition according to a study by [<xref ref-type="bibr" rid="scirp.97739-ref28">28</xref>] was used to determine the overall LCV of the waste, a key factor for the determination of the energy potential, similar to the method used in a study that investigated WtE potential in the Eastern Region of Saudi Arabiaby [<xref ref-type="bibr" rid="scirp.97739-ref29">29</xref>], in which population forecasting and rate of production of MSW were used to estimate the WtE potential. The method of estimating waste generation based on population and economic growth was also supported by the observation in a study by [<xref ref-type="bibr" rid="scirp.97739-ref30">30</xref>], a subsequent increase in MSW was observed with urban migration rate increasing annually and a simultaneous growth in population and Gross Domestic Product (GDP). Additionally, economic development and urbanisation have contributed directly to a rapid increase in municipal solid waste generation in China according to [<xref ref-type="bibr" rid="scirp.97739-ref31">31</xref>], which by 2014 was estimated to be 178.6 million metric tons.</p></sec><sec id="s2_2"><title>2.2. Assessment of Municipal Solid Waste (MSW) in Freetown, Sierra Leone</title><p>Freetown is the capital city of Sierra Leone, with a population of about 1,200,000, and has experienced an average annual growth rate of 4.2% between 2004 and 2015 [<xref ref-type="bibr" rid="scirp.97739-ref8">8</xref>], mainly attributed to the high rate of urbanization after 2002 (the end of the 10-year civil war). Studies have suggested that solid waste generation is proportional to the population as well as economic prosperity. Reference [<xref ref-type="bibr" rid="scirp.97739-ref32">32</xref>] explored the possibilities of energy generation from MSW in India and asserted that “the greater the economic prosperity and higher the proportion of urban population, the greater is the amount of solid waste produced”.</p><p>The GDP of Sierra Leone increased by 300% between 2002 and 2014 [<xref ref-type="bibr" rid="scirp.97739-ref33">33</xref>] as the country attracted a good number of international development aids and foreign investments that led to more job opportunities and a change in the lifestyle of some people. At some point during this period, the country was among the world’s fastest growing economies before the EBOLA outbreak in 2014, and the sudden decline in iron ore prices. This affected economic development as the GDP dropped by 29.1% [<xref ref-type="bibr" rid="scirp.97739-ref33">33</xref>]. This and other potential national issues that will either affect the country positively or negatively and eventually affect population size and waste generation per capita were the basis for the examination of the three scenarios described in Section 3.</p><sec id="s2_2_1"><title>2.2.1. Waste Composition</title><p>The composition of waste is very crucial in waste management, as it affects the density of the waste, proposed collection, transportation and disposal methods, and calorific value. Thus, it is necessary to determine the strategy for waste reuse, reduction and recycling [<xref ref-type="bibr" rid="scirp.97739-ref28">28</xref>]. The components of MSW changes with standards of living. Wastes generated in low and middle-income cities for instance have a large proportion of organic waste, mostly over 50% of the total waste generated [<xref ref-type="bibr" rid="scirp.97739-ref28">28</xref>], whereas the waste in high-income cities is more diversified with relatively more plastics and paper [<xref ref-type="bibr" rid="scirp.97739-ref26">26</xref>]. Reference [<xref ref-type="bibr" rid="scirp.97739-ref28">28</xref>], in assessing solid waste management in Freetown, used a door-to-door survey approach to determine the rate of solid waste generation and their composition through sorting and weighing, in which it was revealed that organic wastes accounted for about 69% of the total wastes generated in four zones in Freetown, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p></sec><sec id="s2_2_2"><title>2.2.2. Estimation of Lower Calorific Value (LCV) of Municipal Solid Waste (MSW) in Freetown</title><p>The LCV, also known as the heating value of waste, is dependent on the location from which the waste is generated, and as such, the determination of LCV for the waste in Freetown required an analysis on how much of the waste components is generated and their characteristics to get the energy potential. Fuel characteristics of solid waste as in <xref ref-type="table" rid="table1">Table 1</xref>, and waste composition as in <xref ref-type="fig" rid="fig1">Figure 1</xref> according to [<xref ref-type="bibr" rid="scirp.97739-ref28">28</xref>] were used to estimate the overall LCV of the waste in Freetown. Equation (1) was used to calculate the LCV for each category of waste as shown in <xref ref-type="table" rid="table1">Table 1</xref> giving the values of LCV (MJ/kg) in <xref ref-type="table" rid="table3">Table 3</xref>. The category denoted as others was assumed to include rubber, textile, leather, and wood. The weighted LCV of each waste component was then calculated using the percentage of total waste as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref> to get the final results in <xref ref-type="table" rid="table3">Table 3</xref>. The overall LCV was obtained by adding all the weighted values of LCV.</p></sec></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Estimation of Waste Generation in Freetown</title><p>The three scenarios and the results obtained in the estimation of waste generation are described in this section.</p><p>Scenario 1 population growth rate remains at 4.2%</p><p>Based on a gradual increase in waste generation per capita and a constant population growth rate of 4.2%, the waste generation per capita was estimated to grow as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>. The amount of unsorted waste generated in 2004 was estimated at 348 metric tons per day (TPD) or 127,020 metric tons annually; it increased to 660 TPD in 2017, and projected to increase to 1195 TPD or 436,175 metric tons annually by 2027 as shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>Scenario 2 a slower population growth rate of about 3.5%.</p><p>By assuming that after 2017, the average annual growth rate will reduce from 4.2% to 3.5%, while the trend of waste generation per capita remains the same, the city will experience lower waste generation. <xref ref-type="fig" rid="fig4">Figure 4</xref> shows that by 2027, a total of about 373,405 metric tons of waste will be generated as compared to 436,023 metric tons in Scenario 1.</p><p>Scenario 3 a change in the pattern of waste generation per capita.</p><p>Waste generation per capita is affected by a change in consumption pattern even if the trend at which the population changes remains the same [<xref ref-type="bibr" rid="scirp.97739-ref26">26</xref>]. Although this trend is expected to increase, a situation was also considered for an opposite trend by assuming that by 2020 the city will start experiencing gradual decline in waste generation per capita as shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>, while the growth rate will remain the same as in Scenario 1. <xref ref-type="fig" rid="fig6">Figure 6</xref> shows the projection of waste generation based on this scenario, and by 2027, a total of 327,018 metric tons of waste will be generated.</p><p>A summary of the results of the estimation of waste generation in Freetown from the three scenarios is presented in <xref ref-type="table" rid="table2">Table 2</xref>, which revealed that at least 626 metric ton of waste will be generated per day by 2018, and even if only the combustible fraction is considered, about 536 metric tons of waste will be available. This shows that there will be enough waste in Freetown to supply a WtE facility.</p></sec><sec id="s3_2"><title>3.2. LCV Estimation</title><p>The overall LCV was calculated as 6.4 MJ/kg as shown in <xref ref-type="table" rid="table3">Table 3</xref>. According to a study by [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>], the LCV is required to be between 6 and 7 MJ/kg to be suitable for WtE recovery by combustion through the use of a steam turbine. Thus, the waste in Freetown will be suitable for WtE recovery by combustion. Although this value is low, it is suitable because there are modern designs that accept wastes with LCV as low as 5.5 MJ/kg. Additionally, this LCV could be improved by reducing the moisture content in the waste stream.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of waste generation estimation</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="4"  >Scenario 1: population growth rate at 4.2%</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >2020</td><td align="center" valign="middle" >2027</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per day)</td><td align="center" valign="middle" >687</td><td align="center" valign="middle" >746</td><td align="center" valign="middle" >1195</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per year)</td><td align="center" valign="middle" >250,755</td><td align="center" valign="middle" >272,290</td><td align="center" valign="middle" >436,175</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Scenario 2: slower population growth rate at 3.5%</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >2020</td><td align="center" valign="middle" >2027</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per day)</td><td align="center" valign="middle" >626</td><td align="center" valign="middle" >670</td><td align="center" valign="middle" >1023</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per year)</td><td align="center" valign="middle" >228,490</td><td align="center" valign="middle" >244,550</td><td align="center" valign="middle" >373,395</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Scenario 3: population growth rate at 4.2%, with reduced waste generation per capita after 2020</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >2018</td><td align="center" valign="middle" >2020</td><td align="center" valign="middle" >2027</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per day)</td><td align="center" valign="middle" >687</td><td align="center" valign="middle" >746</td><td align="center" valign="middle" >896</td></tr><tr><td align="center" valign="middle" >Waste generation (metric ton per year)</td><td align="center" valign="middle" >250,755</td><td align="center" valign="middle" >272,290</td><td align="center" valign="middle" >327,040</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Estimated overall LCV of the waste in free town</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Waste category</th><th align="center" valign="middle" >Mean weight (kg)</th><th align="center" valign="middle" >% of total waste</th><th align="center" valign="middle" >LCV (MJ/kg)</th><th align="center" valign="middle" >Weighted LCV (MJ/kg)</th></tr></thead><tr><td align="center" valign="middle" >Organic waste (garbage)</td><td align="center" valign="middle" >83.20</td><td align="center" valign="middle" >69.0</td><td align="center" valign="middle" >2.59</td><td align="center" valign="middle" >1.78</td></tr><tr><td align="center" valign="middle" >Plastic</td><td align="center" valign="middle" >9.20</td><td align="center" valign="middle" >7.60</td><td align="center" valign="middle" >24.49</td><td align="center" valign="middle" >1.87</td></tr><tr><td align="center" valign="middle" >Metal</td><td align="center" valign="middle" >3.40</td><td align="center" valign="middle" >2.80</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Ash</td><td align="center" valign="middle" >3.70</td><td align="center" valign="middle" >3.10</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Paper and cardboard</td><td align="center" valign="middle" >11.00</td><td align="center" valign="middle" >9.10</td><td align="center" valign="middle" >7.78</td><td align="center" valign="middle" >0.71</td></tr><tr><td align="center" valign="middle" >Glass</td><td align="center" valign="middle" >3.55</td><td align="center" valign="middle" >2.90</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >6.50</td><td align="center" valign="middle" >5.40</td><td align="center" valign="middle" >37.19</td><td align="center" valign="middle" >2.01</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >120.55</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >6.37</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Energy Potential of Steam Turbine</title><p>The energy conversion potential of the turbine was estimated using the LCV of the waste because the amount of steam energy available is a function of the heating value of the waste. According to [<xref ref-type="bibr" rid="scirp.97739-ref34">34</xref>], the steam energy available is 70% of the LCV, and the conversion efficiency of waste combustion is about 32%. The estimation of the energy potential of the steam turbine is as shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><p>For 1 metric ton of mixed municipal solid waste, 398 kWh of electrical energy could be produced, 398 kW of electrical power for 1 hour or 16.5 kW of power for 1 day. The impact of this energy potential is dependent on the consumption pattern of the consumer. For instance, if on average the typical consumption per household is 8 kWh per day, 1 ton of waste is capable of providing the energy needs of about 50 households in Freetown.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This study was motivated by the need to address two main problems affecting the people of Freetown, which are unreliable supply of electricity and uncontrolled waste disposal. The result of the study indicating that the waste generated in Freetown is enough and suitable to serve as sustainable fuel for a WtE facility is significant because by investing in this technology these two ageing problems could be solved in a very unique and sustainable manner. There have been some studies on waste recycling in Sierra Leone but there has not been significant academic research on converting waste into energy. Although there has been some private enterprise development in this area, the result of this study is significant because it could be essential in influencing policies and regulations that could lead to more investment in waste-to-energy technologies in the country.</p></sec><sec id="s5"><title>5. Conclusion and Recommendations</title><p>The study revealed that enough waste is generated in Freetown with an LCV of 6.37 MJ/kg, which makes it suitable for waste-to-energy conversion. This is because the LCV is required to be between 6 and 7 MJ/kg to be suitable for waste-to-energy recovery by combustion according to [<xref ref-type="bibr" rid="scirp.97739-ref12">12</xref>]. Nonetheless, a key</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Estimation of the Energy potential of a steam turbine</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Amount</th></tr></thead><tr><td align="center" valign="middle" >% availability of steam energy</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle" >LCV (MJ/kg)</td><td align="center" valign="middle" >6.4</td></tr><tr><td align="center" valign="middle" >Steam energy available (MJ/kg)</td><td align="center" valign="middle" >4.48</td></tr><tr><td align="center" valign="middle" >Heat required to produce 1kWh (MJ)</td><td align="center" valign="middle" >3.6</td></tr><tr><td align="center" valign="middle" >Conversion efficiency of waste combustion</td><td align="center" valign="middle" >32%</td></tr><tr><td align="center" valign="middle" >Heat rate (MJ/kWh)</td><td align="center" valign="middle" >11.25</td></tr><tr><td align="center" valign="middle" >Energy potential of steam turbine (kWh/ton)</td><td align="center" valign="middle" >398.2</td></tr></tbody></table></table-wrap><p>reason for our energy challenges is the lack of commitment by the government to invest in research and development in waste management and energy recovery, and to enact existing policies and formulate new policies that will encourage diversification of the energy mix. Comprehensive energy policies will encourage private and community involvement in the development of the energy sector and suitable environmental policies will help people understand the environmental benefits of transforming their wastes into wealth. This paper has laid a foundation for further research that could lead to the implementation of WtE technologies in urban areas of Sierra Leone, and has also provided reasons for research into the effect of energy and environmental policies on the improvement of access to electricity and keeping our environment clean.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Ngegba, A.O. and Bertin, A.J. (2020) Assessment of the Energy Potential of Municipal Solid Waste (MSW) in Freetown, Sierra Leone. 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