Effects of different cooling methods on the carbon footprint of cooked rice
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Zhou, S., Zhu, Z., Sun, D., Xu, Z., Zhang, Z. and Wang, Q. Effects of different cooling methods on the carbon footprint of cooked rice. Journal of Food Engineering, 2017, 215, 44-50. doi: https://dx.doi.org/10.1016/j.jfoodeng.2017.07.014Abstract
Global warming has become a serious problem facing the international community. All countries strive to reduce greenhouse gas (GHG) emissions. The food system produces a large amount of GHGs, and thus study of the carbon footprint (CF) in the food industry has attracted the attention of researchers. Based on the lifecycle assessment (LCA) method, the present study calculated CFs of cooling of cooked rice, as a unit operation under different operational conditions. The results showed that the carbon footprints for cooling 200 g cooked rice were 54.36 ± 1.07 gCO2eq for refrigerator cooling at 0 °C, 66.05 ± 2.00 g CO2eq for refrigerator cooling at 8 °C, 741.55 ± 27.26 g CO2eq for vacuum cooling, 1914.10 ± 141.24 g CO2eq for air blast cooling at 0 °C, 2463.61 ± 221.21 g CO2eq for air blast cooling at 3 °C, and 3916.54 ± 202.28 g CO2eq for air blast cooling at 8 °C. In addition, the CF for the cooling process was positively correlated with the output power of equipment and the cooling time. The carbon emissions arising from electricity consumption contributed to most of the CF for the cooling process. Sensitivity analysis of the parameters for the CF for the cooling process revealed that the CF of cooling process was stable for the applied equipment emission factor, but sensitive to the efficiency of electricity use and the extent of load. Improving the efficiency of electricity use and increasing cooling load could reduce the final CF of a product.Funder
International S&T Cooperation Program of China; Collaborative Innovation Major Special Projects of Guangzhou City; Guangdong Provincial Science and Technology Plan Projects; Key Projects of Administration of Ocean and Fisheries of Guangdong Province; National Key Technologies R&D Program; International and Hong Kong – Macau - Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology & Equipment; Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products and the Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural ProductsGrant Number
2015DFA71150; 201508020097; 201604020007; 201604020057; 2015A020209016; 2016A040403040; A201401C04; 2015BAD19B03; 2015KGJHZ001; 2016LM2154ae974a485f413a2113503eed53cd6c53
https://dx.doi.org/10.1016/j.jfoodeng.2017.07.014
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