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Brazilian recycling potential: Energy consumption and Green House Gases reduction

Author

Listed:
  • Colling, A.V.
  • Oliveira, L.B.
  • Reis, M.M.
  • da Cruz, N.T.
  • Hunt, J.D.

Abstract

The present article seeks to quantify the potential energy saving as well as the reduction on carbon dioxide emissions by package recycling through the implementation of the National Solid Waste Policy (NSWP) in Brazil. The applied methodology is based on the Green House Gasses (GHG) Protocol guidelines. Thus, The objective of this article is to determine the energy saving and CO2 emissions reduction according to recyclable material. The result shows that, from 2015 until 2031, the potential CO2 emission reduction was 42,18CO2 Mt and it showed a reduction of 63,72CO2 Mt within the NSWP goals. The energy savings were estimated to be 1,078,745TJ for current recycle indexes and 1,529,718TJ according to National Solid Waste Policy goals.

Suggested Citation

  • Colling, A.V. & Oliveira, L.B. & Reis, M.M. & da Cruz, N.T. & Hunt, J.D., 2016. "Brazilian recycling potential: Energy consumption and Green House Gases reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 544-549.
  • Handle: RePEc:eee:rensus:v:59:y:2016:i:c:p:544-549
    DOI: 10.1016/j.rser.2015.12.233
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    Cited by:

    1. Cucchiella, Federica & D’Adamo, Idiano & Lenny Koh, S.C. & Rosa, Paolo, 2016. "A profitability assessment of European recycling processes treating printed circuit boards from waste electrical and electronic equipments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 749-760.
    2. Damián Burneo & José M. Cansino & Rocio Yñiguez, 2020. "Environmental and Socioeconomic Impacts of Urban Waste Recycling as Part of Circular Economy. The Case of Cuenca (Ecuador)," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    3. Weththasinghe, K.K. & Stephan, A. & Francis, V. & Tiwari, P., 2022. "Improving material selection in shopping centres through a parametric life cycle embodied flow and material cost analysis model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

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