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Assessment of anaerobic co-digestion in areas with heterogeneous waste production densities

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  • Arnò, Paolo
  • Fiore, Silvia
  • Verda, Vittorio

Abstract

The investigation of technical and economic feasibility of anaerobic digestion in areas characterized by heterogeneous waste production densities is a crucial problem that needs to be carefully addressed. This research proposes a simple and flexible methodology for energy, economic and environmental analysis of wet and dry processes involving organic fraction of municipal solid waste (OFMSW) and sewer sludge as feedstocks, with biogas or bio-methane valorization in combined heat and power (CHP) units. Compared with existing literature, this methodology is a good tradeoff between the accuracy and amount of input data related with the territory, which is here limiter to the waste production density. The approach was applied to three areas in Italy, characterized by different population densities and socio-economic development, and therefore by variable waste production specific potentials. A comparison with the current waste management system was performed considering energy demand, investment and operational costs and equivalent carbon dioxide emissions. Results show that, with the current Italian subsidies, a wet process and bio-methane production is in general the best choice, but sufficiently large plants (>500 kW) are necessary. When smaller plants are preferred, a dry process with use of biogas in cogeneration systems may be better, particularly for areas characterized by limited waste production density (<4 t/y.km2). Concerning the environmental aspects, the best option in terms of greenhouse gas emissions is bio-methane production for all considered scenarios.

Suggested Citation

  • Arnò, Paolo & Fiore, Silvia & Verda, Vittorio, 2017. "Assessment of anaerobic co-digestion in areas with heterogeneous waste production densities," Energy, Elsevier, vol. 122(C), pages 221-236.
  • Handle: RePEc:eee:energy:v:122:y:2017:i:c:p:221-236
    DOI: 10.1016/j.energy.2017.01.066
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    References listed on IDEAS

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    1. Appels, Lise & Lauwers, Joost & Degrève, Jan & Helsen, Lieve & Lievens, Bart & Willems, Kris & Van Impe, Jan & Dewil, Raf, 2011. "Anaerobic digestion in global bio-energy production: Potential and research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4295-4301.
    2. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    3. Pantaleo, Antonio & Gennaro, Bernardo De & Shah, Nilay, 2013. "Assessment of optimal size of anaerobic co-digestion plants: An application to cattle farms in the province of Bari (Italy)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 57-70.
    4. Höhn, J. & Lehtonen, E. & Rasi, S. & Rintala, J., 2014. "A Geographical Information System (GIS) based methodology for determination of potential biomasses and sites for biogas plants in southern Finland," Applied Energy, Elsevier, vol. 113(C), pages 1-10.
    5. Balaman, Şebnem Yılmaz & Selim, Hasan, 2014. "A network design model for biomass to energy supply chains with anaerobic digestion systems," Applied Energy, Elsevier, vol. 130(C), pages 289-304.
    6. Sliz-Szkliniarz, Beata & Vogt, Joachim, 2011. "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1696-1707, April.
    7. Zubaryeva, Alyona & Zaccarelli, Nicola & Del Giudice, Cecilia & Zurlini, Giovanni, 2012. "Spatially explicit assessment of local biomass availability for distributed biogas production via anaerobic co-digestion – Mediterranean case study," Renewable Energy, Elsevier, vol. 39(1), pages 261-270.
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    Cited by:

    1. Demichelis, Francesca & Fiore, Silvia & Pleissner, Daniel & Venus, Joachim, 2018. "Technical and economic assessment of food waste valorization through a biorefinery chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 38-48.
    2. Luz, Fábio Codignole & Cordiner, Stefano & Manni, Alessandro & Mulone, Vincenzo & Rocco, Vittorio & Braglia, Roberto & Canini, Antonella, 2018. "Ampelodesmos mauritanicus pyrolysis biochar in anaerobic digestion process: Evaluation of the biogas yield," Energy, Elsevier, vol. 161(C), pages 663-669.

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