||Roque D'Orbcastel Emmanuelle1, Blancheton Jean-Paul1, Aubin Joel2
||1 : IFREMER, Stn Aquaculture Expt, Lab Rech Piscicole Mediterranee, F-34250 Palavas Les Flots, France.
2 : Equipe FIELDS, INRA, UMR Agrocampus SAS Sol Agro & Hydrosyst Spatialis, F-35042 Rennes, France.
||Aquacultural Engineering (0144-8609) (Elsevier), 2009-05 , Vol. 40 , N. 3 , P. 113-119
|WOS© Times Cited
||Flow through system, Recirculation system, Trout, Aquaculture, Life Cycle Assessment
||Life Cycle Assessment(LCA) was applied to evaluate the global environmental impact of two scenarios of trout production systems based on the operational information from an operational farm using a flow through system (FFF) and an experimental pilot low head recirculating system (RSF) located on the same site. The main differences between the environmental balances of the two systems were relative to water use, eutrophication potential and energy use. Independently of the system used, feed is the key indicator in determining the environmental balance (notwithstanding eutrophication potential and water dependence) monitored by fish production, chemical products, buildings and energy consumption. Consequently, when considering the RSF with a lower feed conversion ratio (0.8 versus 1.1 for FTF), the environmental balance of the RSF is more favourable at both global and regional levels, except with regards to energy use. RSF water dependence is 93% lower than the FTF and its eutrophication potential is 26-38% lower due to reduced waste release. On the other hand, at 57,659 MJ per ton of fish produced ( 16 kWh per kg), the RSF consumes 24-40% more energy than the FTF, especially for aeration and water treatment. Nevertheless, the RSF has significant potential for energy reduction through improvements to airlift and biofilter designs which Would reduce RSF energy use to a level similar to that of the FTF (34,869-43,841 MJ per ton of fish produced, corresponding to 10 and 12 kWh respectively). LCA is therefore a powerful tool which can be used on fish farms to define and prioritise the most promising potential improvements to the system. (C) 2008 Elsevier B.V. All rights reserved.