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Estimating energy requirement in cashew (Anacardium occidentale L.) nut processing operations

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  • Jekayinfa, S.O.
  • Bamgboye, A.I.

Abstract

This work deals with a study on estimation of energy consumption in eight readily defined unit operations of cashew nut processing. Data for analysis were collected from nine cashew nut mills stratified into small, medium and large categories to represent different mechanization levels. Series of equations were developed to easily compute requirements of electricity, fuel and labour for each of the unit operations. The computation of energy use was done using spreadsheet program on Microsoft Excel. The results of application test of the equations show that the total energy intensity in the cashew nut mills varied between 0.21 and 1.161MJ/kg. Electrical energy intensity varied between 0.0052 and 0.029MJ/kg, while thermal energy intensity varied from 0.085 to 1.064MJ/kg. The two identified energy intensive operations in cashew nut processing are cashew nut drying and cashew nut roasting, altogether accounting for over 85% of the total energy consumption in all the three mill categories. Thermal energy, obtained from diesel fuel, represented about 90% of the unit energy cost for cashew nut processing. The developed equations have therefore proven to be a useful tool for carrying out budgeting, forecasting energy requirements and planning plant expansion.

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  • Jekayinfa, S.O. & Bamgboye, A.I., 2006. "Estimating energy requirement in cashew (Anacardium occidentale L.) nut processing operations," Energy, Elsevier, vol. 31(8), pages 1305-1320.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:8:p:1305-1320
    DOI: 10.1016/j.energy.2005.07.001
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    References listed on IDEAS

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    1. Ozkan, Burhan & Akcaoz, Handan & Fert, Cemal, 2004. "Energy input–output analysis in Turkish agriculture," Renewable Energy, Elsevier, vol. 29(1), pages 39-51.
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    1. Fadare, D.A. & Nkpubre, D.O. & Oni, A.O. & Falana, A. & Waheed, M.A. & Bamiro, O.A., 2010. "Energy and exergy analyses of malt drink production in Nigeria," Energy, Elsevier, vol. 35(12), pages 5336-5346.
    2. Hatem Oueslati & Salah Ben Mabrouk & Abdelkader Mami, 2021. "Dynamic Modelling and Performance Optimization-Based Sliding Mode Control of Process Drying in a Convective Tunnel Dryer," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(4), pages 1-26, October.
    3. Jekayinfa, S.O. & Adebayo, A.O. & Afolayan, S.O. & Daramola, E., 2013. "On-farm energetics of mango production in Nigeria," Renewable Energy, Elsevier, vol. 51(C), pages 60-63.
    4. Jekayinfa, S.O. & Bamgboye, A.I., 2008. "Energy use analysis of selected palm-kernel oil mills in south western Nigeria," Energy, Elsevier, vol. 33(1), pages 81-90.
    5. Fadare, D.A. & Bamiro, O.A. & Oni, A.O., 2010. "Energy and cost analysis of organic fertilizer production in Nigeria," Energy, Elsevier, vol. 35(1), pages 332-340.
    6. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    7. Waheed, M.A. & Jekayinfa, S.O. & Ojediran, J.O. & Imeokparia, O.E., 2008. "Energetic analysis of fruit juice processing operations in Nigeria," Energy, Elsevier, vol. 33(1), pages 35-45.

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