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Autor(en) / Beteiligte
Titel
Evaluation of the energy and greenhouse gases impacts of grass harvested on riverbanks for feeding anaerobic digestion plants
Ist Teil von
  • Journal of cleaner production, 2018-01, Vol.172, p.4099-4109
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2018
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • More sustainable scenarios in the bioenergy sector can be achieved when biomass exploitation is based on eco-efficient supply chains. Regarding this, grass as a by-product obtained from landscape management could provide a large quantity of biomass potentially utilizable in the Anaerobic Digestion (AD) supply chain. This study assessed the energy and greenhouse gases (GHG) impacts of grass obtained from the landscape management of riverbanks. A study area of a land reclamation authority was investigated by interpreting high resolution spatial data and determination of the biomass yield. In addition, an inventory was made of the grass production chain. An energy analysis was performed using the Cumulative Energy Demand method (CED), while the GHG balance of grass AD was calculated based on CO2 equivalents. Special attention was also given to the logistic approaches: two different supply systems were evaluated in order to determine the best supply chain for this feedstock. The results show that the biomass yield of riverbank grass amounts to 13 t f.m/ha (4.8 t d.m/ha) while the energy utilization of grass determines a saving on fossil energy of about 2.6–2.4 GJ/t f.m. (7.0–6.4 GJ/t d.m.) and on GHG equivalent emissions of about 86–67 kgCO2eq/t f.m. (233–181 kgCO2eq/t d.m.) depending on supply distance and logistic approach. In this regard, the Indirect Logistic Approach (ILA) achieves the best performance in terms of the reduction of fossil energy and GHG emissions. The results suggest positive prospects for the integration of grass from non-cultivated areas into the AD supply chain in order to mitigate the requirement for agricultural feedstock and obtain a positive return, in terms of energy and emissions saved, from landscape management operations.
Sprache
Englisch
Identifikatoren
ISSN: 0959-6526
eISSN: 1879-1786
DOI: 10.1016/j.jclepro.2017.02.060
Titel-ID: cdi_crossref_primary_10_1016_j_jclepro_2017_02_060

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