Carbon Footprint of Tree Nuts Based Consumer Products

This case study shows results of a calculation of carbon footprint (CFP) resulting from the production of nuts added value products for a large consumer market. Nuts consumption is increasing in the world and so is the consumer awareness of the environmental impact of goods, hence the calculation of greenhouse gas (GHG) emissions of food production is of growing importance for producers. Calculation of CO2eq emissions was performed for all stages of the production chain to the final retail point for flour, grains, paste, chocolate covered nuts and spreadable cream produced from almonds, pistachios and hazelnuts grown and transformed in Italy and for peanuts grown in Argentina and transformed in Italy. Data from literature was used to evaluate CFP of raw materials, emissions from transport and packing were calculated using existing models, while emissions deriving from transformation were calculated empirically by multiplying the power of production lines (electrical and/or thermal) by its productivity. All values were reported in kg of CO2 equivalent for each kg of packed product (net weight). Resulting values ranged between 1.2 g of CO2/kg for a 100 g bag of almond to 4.8 g of CO2/kg for the 100 g bag of chocolate covered almond. The calculation procedure can be well used for similar cases of large consumer food productions.

[1]  Almudena Hospido,et al.  A review of methodological issues affecting LCA of novel food products , 2010 .

[2]  Annik Magerholm Fet,et al.  LCA studies of food products as background for environmental product declarations , 2008 .

[3]  T. Chartrand The Role of Conscious Awareness in Consumer Behavior , 2005 .

[4]  Antonio Messineo,et al.  Ligno-cellulosic biomass exploitation for power generation: A case study in sicily , 2012 .

[5]  Ian D. Williams,et al.  ‘Carbon footprinting’: towards a universally accepted definition , 2011 .

[6]  Antonio Messineo,et al.  Sustainable Production of Bio-Combustibles from Pyrolysis of Agro-Industrial Wastes , 2014 .

[7]  Gabriele Freni,et al.  Pump as turbine implementation in a dynamic numerical model: cost analysis for energy recovery in water distribution network , 2015 .

[8]  Andrea Presciutti,et al.  Development of a greenhouse gas accounting GIS-based tool to support local policy making—application to an Italian municipality , 2013 .

[9]  Francesco Asdrubali,et al.  Evaluation of Net Energy Obtainable from Combustion of Stabilised Olive Mill By-Products , 2012 .

[10]  Antonio Messineo,et al.  Using Recurrent Artificial Neural Networks to Forecast Household Electricity Consumption , 2012 .

[11]  R. Schenck,et al.  A comparative assessment of greenhouse gas emissions in California almond, pistachio, and walnut production. , 2014 .

[12]  Houghton,et al.  The U.S. Carbon budget: contributions from land-Use change , 1999, Science.

[13]  Antonio Messineo,et al.  Assessment of olive wastes as energy source: pyrolysis, torrefaction and the key role of H loss in thermal breakdown , 2015 .

[14]  Walter Klöpffer,et al.  Life cycle assessment , 1997, Environmental science and pollution research international.

[15]  N. E. Looney,et al.  Temperate and Subtropical Fruit Production , 1986 .

[16]  Giorgio Baldinelli,et al.  Life cycle assessment of electricity production from renewable energies: Review and results harmonization , 2015 .

[17]  J. L. Gaunt,et al.  Practicality of Biochar Additions to Enhance Soil and Crop Productivity , 2013 .