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How to manage co-product inputs in emergy accounting exemplified by willow production for bioenergy

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  • Kamp, Andreas
  • Østergård, Hanne

Abstract

Assessments of environmental performance are challenged by multifunctionality of production systems where impacts cannot be assigned to any one specific output. In the assessment method emergy accounting, all available energy used up for a process is summed up after being converted to solar equivalent Joules. In emergy accounting each output carries the resource use burden of all co-produced outputs. When comparing emergy indicators on a product-to-product basis (reference approach), products from single-output processes tend to be favoured. This constitutes a method bias. Building on emergy algebra rules, we describe approaches to calculate solar transformities when co-production is involved and give guidelines on how to compare products and systems. The approaches are exemplified in a comparison between willow biomass, fertilised with manure, and natural gas used as feedstock for combined heat and power (CHP) production. A Danish willow-based CHP model system was assessed whereas data for the fossil-based system was from literature. When compared on a product-to-product basis using the reference approach, bio-based CHP production is inferior to fossil-based CHP with respect to resource use (transformities of 2.31 E+05seJ/J and 0.88 E+05seJ/J, respectively). If the manure is considered as a waste and modelled as heat loss, the single-product transformity for biobased production is only 0.37 E+05seJ/J. When compared on a system-to-system basis, bio-based production is competitive with fossil-based production (transformities of 2.21 E+05seJ/J and 2.29 E+05seJ/J, respectively). The paper evaluates compatibility of suggested approaches with emergy theory and practices and presents a discussion of the distinction between waste and resource.

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  • Kamp, Andreas & Østergård, Hanne, 2013. "How to manage co-product inputs in emergy accounting exemplified by willow production for bioenergy," Ecological Modelling, Elsevier, vol. 253(C), pages 70-78.
  • Handle: RePEc:eee:ecomod:v:253:y:2013:i:c:p:70-78
    DOI: 10.1016/j.ecolmodel.2012.12.027
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    References listed on IDEAS

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    1. Buonocore, Elvira & Franzese, Pier Paolo & Ulgiati, Sergio, 2012. "Assessing the environmental performance and sustainability of bioenergy production in Sweden: A life cycle assessment perspective," Energy, Elsevier, vol. 37(1), pages 69-78.
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    4. Bastianoni, Simone & Morandi, Fabiana & Flaminio, Tommaso & Pulselli, Riccardo M. & Tiezzi, Elisa B.P., 2011. "Emergy and emergy algebra explained by means of ingenuous set theory," Ecological Modelling, Elsevier, vol. 222(16), pages 2903-2907.
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    Cited by:

    1. Wright, Christina & Østergård, Hanne, 2015. "Scales of renewability exemplified by a case study of three Danish pig production systems," Ecological Modelling, Elsevier, vol. 315(C), pages 28-36.
    2. Ren, Siyue & Feng, Xiao & Yang, Minbo, 2022. "Cumulative solar exergy allocation in heat and electricity cogeneration systems," Energy, Elsevier, vol. 254(PC).
    3. Nikodinoska, Natasha & Buonocore, Elvira & Paletto, Alessandro & Franzese, Pier Paolo, 2017. "Wood-based bioenergy value chain in mountain urban districts: An integrated environmental accounting framework," Applied Energy, Elsevier, vol. 186(P2), pages 197-210.
    4. Saladini, Fabrizio & Patrizi, Nicoletta & Pulselli, Federico M. & Marchettini, Nadia & Bastianoni, Simone, 2016. "Guidelines for emergy evaluation of first, second and third generation biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 221-227.
    5. Kamp, Andreas & Ambye-Jensen, Morten & Østergård, Hanne, 2019. "Modelling matter and energy flows of local, refined grass-clover protein feed as alternative to imported soy meal," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    6. Andreas Kamp & Hanne Østergård & Simon Bolwig, 2016. "Environmental Assessment of Integrated Food and Cooking Fuel Production for a Village in Ghana," Sustainability, MDPI, vol. 8(5), pages 1-16, April.

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