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A Novel Approach to Minimize Energy Requirements and Maximize Biomass Utilization of the Sugarcane Harvesting System in Sri Lanka

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  • Thilanka Ariyawansha

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan
    Division of Mechanization Technology, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Dimuthu Abeyrathna

    (Division of Mechanization Technology, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Buddhika Kulasekara

    (Division of Crop Nutrition, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Devananda Pottawela

    (Division of Technology Transfer and Development, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Dinesh Kodithuwakku

    (Economics Biometry & IT Division, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Sandya Ariyawansha

    (Economics Biometry & IT Division, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • Natasha Sewwandi

    (Processing Technology, Sugarcane Research Institute, Uda Walawe 70190, Sri Lanka)

  • WBMAC Bandara

    (Department of Regional Resource Environmental Engineering, Faculty of Agriculture, University of the Ryukyus, Okinawa 903-0213, Japan)

  • Tofael Ahamed

    (Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan)

  • Ryozo Noguchi

    (Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan)

Abstract

Sugarcane harvesting requires a significant amount of energy and time to manage dry leaves after the harvesting process. Therefore, the objective of this study was to minimize the energy requirement to process the cane and dry leaves’ harvesting (CDLH) for sugarcane while, at the same time, maximizing sugar production from cane and energy from dry leaves in Sri Lanka. The CDLH was conceptualized using a novel approach to optimize sugarcane harvesting to maximize biomass supply for energy production while reducing supply chain sugar-loss. The CDLH was investigated for manual harvesting capacity, energy consumption, sugar loss, and biomass energy potential. It was observed that CDLH consumed higher energy compared to the present practices of harvesting. However, the energy used for fieldwork was reduced because of the shifting of cane chopping and cleaning from the field to the factory. Low bulk density of the harvested cane of the CDLH system had a higher energy requirement in transportation. Comparatively, CDLH showed higher biomass energy potential and less sugar loss. High energy potential increases the energy potential to consumption ratio compared to the existing method. Therefore, the theoretical evaluation showed that the CDLH system can produce more than 20 kg of sugar and 879 MJ of electricity when processing 1 t of sugarcane.

Suggested Citation

  • Thilanka Ariyawansha & Dimuthu Abeyrathna & Buddhika Kulasekara & Devananda Pottawela & Dinesh Kodithuwakku & Sandya Ariyawansha & Natasha Sewwandi & WBMAC Bandara & Tofael Ahamed & Ryozo Noguchi, 2020. "A Novel Approach to Minimize Energy Requirements and Maximize Biomass Utilization of the Sugarcane Harvesting System in Sri Lanka," Energies, MDPI, vol. 13(6), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1497-:d:335483
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    References listed on IDEAS

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    1. João Paulo Guerra & Fernando Henrique Cardoso & Alex Nogueira & Luiz Kulay, 2018. "Thermodynamic and Environmental Analysis of Scaling up Cogeneration Units Driven by Sugarcane Biomass to Enhance Power Exports," Energies, MDPI, vol. 11(1), pages 1-23, January.
    2. Smithers, Jeff, 2014. "Review of sugarcane trash recovery systems for energy cogeneration in South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 915-925.
    3. Charles A.S. Hall & Bruce E. Dale & David Pimentel, 2011. "Seeking to Understand the Reasons for Different Energy Return on Investment (EROI) Estimates for Biofuels," Sustainability, MDPI, vol. 3(12), pages 1-20, December.
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    2. Gustavo Carvalho Santos & Flavio Barboza & Antônio Cláudio Paschoarelli Veiga & Mateus Ferreira Silva, 2021. "Forecasting Brazilian Ethanol Spot Prices Using LSTM," Energies, MDPI, vol. 14(23), pages 1-15, November.

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