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Feasibility study of power generation from agricultural residue in comparison with soil incorporation of residue

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  • Gojiya, Anil
  • Deb, Dipankar
  • Iyer, Kannan K.R.

Abstract

This paper presents economic viability study of decentralized biomass power plant using agricultural residue by computing the cost associated with capital investment for biomass power plant, operating and maintenance cost of plant, processing cost of residue used as fuel, equivalent economic value of embodied nutrients (NPK) lost from the residue and comparing these costs with the income generated from the power generation. The objective is to determine cost effectiveness of adding chemical fertilizers for soil nutrient replenishment and utilizing agricultural residue for biomass energy (instead of soil incorporation). The discounted rate method is used to study the economic viability. Results show that cotton stalk and groundnut shell residue (with higher nitrogen content) are not cost effective for electricity production. Further, rice and wheat residue are observed to be cost effective for biomass power plant.

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  • Gojiya, Anil & Deb, Dipankar & Iyer, Kannan K.R., 2019. "Feasibility study of power generation from agricultural residue in comparison with soil incorporation of residue," Renewable Energy, Elsevier, vol. 134(C), pages 416-425.
    • Handle: RePEc:eee:renene:v:134:y:2019:i:c:p:416-425
    DOI: 10.1016/j.renene.2018.11.003
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    2. Zhang, Jixiang & Li, Jun & Dong, Changqing & Zhang, Xiaolei & Rentizelas, Athanasios & Shen, Delong, 2021. "Comprehensive assessment of sustainable potential of agricultural residues for bioenergy based on geographical information system: A case study of China," Renewable Energy, Elsevier, vol. 173(C), pages 466-478.
    3. Uzair, Muhammad & Sohail, Syed Sarosh & Shaikh, Nasir Uddin & Shan, Ali, 2020. "Agricultural residue as an alternate energy source: A case study of Punjab province, Pakistan," Renewable Energy, Elsevier, vol. 162(C), pages 2066-2074.
    4. Tianze Lan & Kittisak Jermsittiparsert & Sara T. Alrashood & Mostafa Rezaei & Loiy Al-Ghussain & Mohamed A. Mohamed, 2021. "An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand," Energies, MDPI, vol. 14(3), pages 1-25, January.
    5. Lauma Balode & Kristiāna Dolge & Dagnija Blumberga, 2023. "Sector-Specific Pathways to Sustainability: Unravelling the Most Promising Renewable Energy Options," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    6. Fahd A. Alturki & Emad Mahrous Awwad, 2021. "Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems," Energies, MDPI, vol. 14(2), pages 1-20, January.

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