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Study of the feasibility of mixing Refuse Derived Fuels with wood pellets through the grey and Fuzzy theory

Author

Listed:
  • Moran, J.C.
  • Miguez, J.L.
  • Porteiro, J.
  • Patiño, D.
  • Granada, E.
  • Collazo, J.

Abstract

This paper presents a combined grey relational and fuzzy analysis for the evaluation of the environmental feasibility of burning mixtures of pellet and RDF (Refuse Derived Fuel) in a small pellet boiler-stove. RDF is obtained from Municipal Solid Waste (MSW) and contains a biomass fraction and a non-organic fraction (plastic). As a first step, both fuels are characterized to define their properties. A special feeding system is also used to improve the stove plant and to facilitate pellet distribution, which maintains a constant rate between the two fuels. Small scale energy converters, such as chimneys, boilers, stoves, etc., which produce heat and/or hot water by burning biomass (wood, pellets, briquettes, etc.), are especially suited to domestic purposes. However, in common commercial combustion conditions, this kind of use still has some disadvantages: some emissions (volatile organic carbons, carbon monoxide or NOx) may still be high, and it is difficult to compare the quality and performance of equipment working in very different combustion conditions. The grey relational analysis of different energy and emission variables leads to the definition of a new single variable called the grey relational grade (GRG). Thus, evaluation and optimisation of complicated multiple responses can be converted into the optimisation of a standardised single variable. The aim of the work is to research the most feasible mixture of pellets according to a grey relational analysis, taking into consideration energy-related, financial and environmental aspects.

Suggested Citation

  • Moran, J.C. & Miguez, J.L. & Porteiro, J. & Patiño, D. & Granada, E. & Collazo, J., 2009. "Study of the feasibility of mixing Refuse Derived Fuels with wood pellets through the grey and Fuzzy theory," Renewable Energy, Elsevier, vol. 34(12), pages 2607-2612.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:12:p:2607-2612
    DOI: 10.1016/j.renene.2009.04.033
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    References listed on IDEAS

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    1. Granada, E & López González, L.M & Míguez, J.L & Moran, J, 2002. "Fuel lignocellulosic briquettes, die design and products study," Renewable Energy, Elsevier, vol. 27(4), pages 561-573.
    2. Ben Salah, Chokri & Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Multi-criteria fuzzy algorithm for energy management of a domestic photovoltaic panel," Renewable Energy, Elsevier, vol. 33(5), pages 993-1001.
    3. Murphy, J.D. & McKeogh, E., 2004. "Technical, economic and environmental analysis of energy production from municipal solid waste," Renewable Energy, Elsevier, vol. 29(7), pages 1043-1057.
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    Cited by:

    1. Libiao Bai & Hailing Wang & Chunming Shi & Qiang Du & Yi Li, 2017. "Assessment of SIP Buildings for Sustainable Development in Rural China Using AHP-Grey Correlation Analysis," IJERPH, MDPI, vol. 14(11), pages 1-12, October.
    2. Kang, Sae Byul & Oh, Hong Young & Kim, Jong Jin & Choi, Kyu Sung, 2017. "Characteristics of spent coffee ground as a fuel and combustion test in a small boiler (6.5 kW)," Renewable Energy, Elsevier, vol. 113(C), pages 1208-1214.
    3. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    4. Zhang, Yaning & Zhao, Wenke & Li, Bingxi & Zhang, Haochun & Jiang, Baocheng & Ke, Cunfeng, 2016. "Two equations for estimating the exergy of woody biomass based on the exergy of ash," Energy, Elsevier, vol. 106(C), pages 400-407.
    5. Liang Meng & Ahmed Alengebawy & Ping Ai & Keda Jin & Mengdi Chen & Yulong Pan, 2020. "Techno-Economic Assessment of Three Modes of Large-Scale Crop Residue Utilization Projects in China," Energies, MDPI, vol. 13(14), pages 1-19, July.
    6. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.

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