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<title>Volume 13, Issue 1 (2022) | Energy Research Journal</title>
<description>Volume 13, Issue 1 (2022) | Energy Research Journal</description>
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    <title><![CDATA[Optimal Control Strategy for Parallel Fan-Powered VAV Systems]]></title>
    <link>https://thescipub.com/erj/erjsp.2022.1.9</link>
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        <![CDATA[<p>Energy Research Journal, Published online: 6 June 2022; <a href="https://thescipub.com/erj/erjsp.2022.1.9">doi:10.3844/erjsp.2022.1.9</a></p>ASHRAE Guideline 36 recommends resetting the Supply Air Temperature (SAT) for Variable Air Volume (VAV) systems to balance fan power, heating and cooling loads and zone reheat requirements. This is ac...]]></content:encoded>
    <dc:title><![CDATA[Optimal Control Strategy for Parallel Fan-Powered VAV Systems]]></dc:title><dc:creator>Nabil  Nassif</dc:creator><dc:creator>Iffat  Ridwana</dc:creator><dc:creator>Mostafa  Tahmasebi</dc:creator><dc:creator>Pejman  Ebrahimi</dc:creator><dc:identifier>doi:10.3844/erjsp.2022.1.9</dc:identifier>
    <dc:source>Energy Research Journal, Published online: 2022-06-06; | doi:10.3844/erjsp.2022.1.9</dc:source>
    <dc:date>2022-06-06</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/erjsp.2022.1.9</prism:doi>
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    <title><![CDATA[Feasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, Nigeria]]></title>
    <link>https://thescipub.com/erj/erjsp.2022.10.20</link>
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        <![CDATA[<p>Energy Research Journal, Published online: 21 July 2022; <a href="https://thescipub.com/erj/erjsp.2022.10.20">doi:10.3844/erjsp.2022.10.20</a></p>The extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves. As a result, solar radiation simulation is crucial ...]]></content:encoded>
    <dc:title><![CDATA[Feasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, Nigeria]]></dc:title><dc:creator>Najashi B. Gafai</dc:creator><dc:creator>Asia'u Talatu Belgore</dc:creator><dc:identifier>doi:10.3844/erjsp.2022.10.20</dc:identifier>
    <dc:source>Energy Research Journal, Published online: 2022-07-21; | doi:10.3844/erjsp.2022.10.20</dc:source>
    <dc:date>2022-07-21</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/erjsp.2022.10.20</prism:doi>
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    </item><item rdf:about="https://thescipub.com/erj/erjsp.2022.21.29">
    <title><![CDATA[Vertical Axis Marine Current Turbine Modelling]]></title>
    <link>https://thescipub.com/erj/erjsp.2022.21.29</link>
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        <![CDATA[<p>Energy Research Journal, Published online: 24 December 2022; <a href="https://thescipub.com/erj/erjsp.2022.21.29">doi:10.3844/erjsp.2022.21.29</a></p>The development of alternative energy sources has attracted worldwide interest given the adverse effects of fossil fuels on the global climate as well as their unsustainability. This study examines th...]]></content:encoded>
    <dc:title><![CDATA[Vertical Axis Marine Current Turbine Modelling]]></dc:title><dc:creator>Rikhi  Ramkissoon</dc:creator><dc:creator>Krishpersad  Manohar</dc:creator><dc:identifier>doi:10.3844/erjsp.2022.21.29</dc:identifier>
    <dc:source>Energy Research Journal, Published online: 2022-12-24; | doi:10.3844/erjsp.2022.21.29</dc:source>
    <dc:date>2022-12-24</dc:date>
    <prism:publicationName>Science Publications</prism:publicationName>
    <prism:doi>10.3844/erjsp.2022.21.29</prism:doi>
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    </item><item rdf:about="https://thescipub.com/erj/erjsp.2022.30.41">
    <title><![CDATA[Assessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn Cobs]]></title>
    <link>https://thescipub.com/erj/erjsp.2022.30.41</link>
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        <![CDATA[<p>Energy Research Journal, Published online: 27 December 2022; <a href="https://thescipub.com/erj/erjsp.2022.30.41">doi:10.3844/erjsp.2022.30.41</a></p>The understanding of compositional characteristics permits to predict the efficient thermal conversion technologies and Higher Heating Value (HHV). Although HHV can be determined directly, many models...]]></content:encoded>
    <dc:title><![CDATA[Assessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn Cobs]]></dc:title><dc:creator>Samomssa  Inna</dc:creator><dc:creator>Oumarou Amadou Amadou</dc:creator><dc:creator>Jiokap Nono Yvette</dc:creator><dc:creator>Geta  Cârâc</dc:creator><dc:creator>Rodica Dinică Mihaela</dc:creator><dc:creator>Kamga  Richard</dc:creator><dc:identifier>doi:10.3844/erjsp.2022.30.41</dc:identifier>
    <dc:source>Energy Research Journal, Published online: 2022-12-27; | doi:10.3844/erjsp.2022.30.41</dc:source>
    <dc:date>2022-12-27</dc:date>
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    <prism:doi>10.3844/erjsp.2022.30.41</prism:doi>
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