Research On Carbon Footprint Of Beer Fermenter Based On Dynamic LCA

With the advancement of science and technology,the rapid development of industry,ecological environment are becoming increasingly serious,especially the problem of carbon pollution.The core of assessing the environmental impact and guiding,improving the green design of products is to calculate the carbon emissions of products and their life cycle costs.The Life Cycle Assessment(LCA)is the mainstream method for assessing the impact of products on the environment at this stage.With the widespread application of the LCA method,its theory has gradually matured.However,there are some disadvantages to calculating the carbon footprint of products based on the LCA method,especially lacking time considerations.This article focuses on the Dynamic Life Cycle Assessment(DLCA),including the calculation of carbon footprint based on this method,life cycle cost research,and the design and implementation of a fermentation tank carbon footprint assessment system.Firstly,a type of beer fermentation tank is selected as the research object,according to the fermentation tank structure and manufacturing process.The boundary of the fermenter system is determined,inventory data is collected for each stage of the life cycle,and carbon emission model is established for each stage of the life cycle.By calculating the carbon footprint of each stage in the life cycle of beer fermentation tank,the results show that the production and manufacturing stage accounts for the highest proportion of carbon emissions in the life cycle of beer fermentation tank,followed by the operation stage and the disposal stage.The manufacturing stage of raw materials and the use stage of fermentation tanks cause more carbon emissions.Therefore,when carrying out low-carbon production,the first consideration is to use raw materials with low carbon emission coefficient,the second is to improve the energy utilization rate in the use stage,and the last consideration is to improve the recovery rate of raw materials.Secondly,in order to find the dynamic factors that affect the results of the carbon footprint,the data is divided into different types,data is dynamically identified,and the dynamic data is divided into two categories,time range and technological progress.Five types of environmental impacts are listed,and the temporal correlation between global warming potential and ecotoxicity is studied to lay the foundation for the establishment of dynamic LCA methods.Then,based on the traditional LCA,time considerations and economic cost analysis are added.The scenario analysis method and BP neural network method are used to dynamically analyze the technological progress.The dynamic LCA method is established and the dynamic LCA carbon footprint analysis model is established.The beer fermenter is used as an example to calculate the carbon footprint using the dynamic LCA method.The study found that the results based on traditional LCA calculations underestimate the environmental impact of the fermenter.The dynamic carbon footprint factor is added to the general economic life model of the equipment,and the definition of the optimal life is given.The improved quantum genetic algorithm is used to predict the optimal life of the fermenter.Finally,based on the carbon footprint analysis model of dynamic LCA,cost analysis is added,and the definition of the equipment sustainability index is proposed based on the idea of the Dow Jones Sustainability Index.The sustainability index is defined as the ability index of equipment to reduce environmental impact when it meets production,and developed an evaluation system for beer fermentation tanks.The system mainly includes equipment attribute modules,equipment cost modules,and dynamic LCA carbon footprint modules.The system has important practical significance for the calculation of carbon emissions from fermentation tanks.