Research On Modular Calculating Method Of Industrial Carbon Footprint Of Textile Products And Its Software Development

The primary reason of global climate change is that there are too much greenhouse gas emissionsespecially carbon dioxide. If the global climate keeps rising, serious consequences will happen,such as the arctic ice melting, polar formation warming, sea and land circulation patterns changing,sea level rising and so on.As the traditional pillar industry of national economy and the important industry of people’slivelihood, textile industry is also an important emitter of greenhouse gases. According to data, theenergy consumption of textile industry production process （from the fiber to clothing products） isabout4.84t standard coal/t fiber, accounting for4.4%of the energy consumption of total nationalindustries. In order to realize the energy conservation and emission reduction of textile industry,first task is to calculate the industrial carbon footprint of textile products accurately and clearly.However, due to variety of textile products, complexity of production process chain, intensity ofrelated industries, many kinds of materials involved, rough management, and lack of sufficient data,using the existing international method and standard of product carbon footprint is unable to resolvethe core issues of quantitative calculation and decomposition.According to these situations, modularization theory is used to make industrial carbon footprintsplit into a number of units, which defined as the carbon footprint units. Based on the principles ofsimplified carbon footprint data structure, clear boundary, carbon footprint units can be controlled.And it makes various complex factors and mutual relations clear. Firstly, industrial carbon footprintcan be divided into organizational level, product level and process level. Then organization leveland process level industrial carbon footprint modular will be broken down into different energy andmaterial units, and product level carbon footprint is divided into three levels. The first level carbonfootprint will be split into carbon footprint unit of different production processes; Bases on commonused equipment, the second level is divided into different modular units such as light carbonfootprint unit and computer carbon footprint unit; According to the different kinds of energy andmaterial, the third level industrial carbon footprint will be split into power carbon footprint unit, water carbon footprint unit, steam carbon footprint unit and so on. Finally industrial carbonfootprint modular hierarchy and refined products accounting model are established, which canimprove the accuracy of the data list.Accounting method mainly adopts emission factor method, and the allocation method is mainlyaccording to the production of textile products. Through one enterprise survey (printing and dyeingenterprises) first-hand data was obtained to demonstrate the feasibility of accounting method andallocation method. Results show that from October to December in2014, organizational levelindustrial carbon footprint was gradually rising, and the peak is in December. The main reason islarge production and the cold weather which causes the increasing consumption of steam andnatural gas. The carbon footprint caused by steam has accounted to more than half, the biggest one.In product level industrial carbon footprint (silk printed fabric), the first level industrial carbonfootprint accounts for98.12%. The most percentage of first level industrial carbon footprint isprinting and steaming process carbon footprint unit, accounting for68.53%; In process level, theindustrial carbon footprint caused by steam is the largest proportion (62.1%).Since most current domestic textile production enterprises lack three-level measurement system toget accurate data, so parameterized calculation method is cited in this paper. Namely usingequipment and process parameters can theoretically calculate the per hour production of differentequipments. And then according to the rated power and working time, calculate the powerconsumption and industrial carbon footprint. Different parametric methods are listed for thespinning, weaving, dyeing and garment processing phases. And the power consumption ofproduction equipment in the spinning stage is proved by actual case. Results show that per hourproduction capacity calculated by parameterized accounting method is in line with the true. But thepower consumptions are great different, due to power rating is different from actual power. So thispaper introduces the concept of correction coefficient to let parameterized power consumption getclose to the actual power consumption. This method not only solves the difficult problem ofthree-level measurement data acquisition, but also makes the industrial carbon footprint haspractical significance.Carbon footprint unit is similar with the module, having the characteristics of independence,versatility and series. So by matching equipment and process parameters, the units can be directlycalled or partially modified called, Then industrial carbon footprint of textile products in series canbe quickly accounted. Modular call not only can improve rate of data utilization, but also save thecost of manpower and material resources.Based on the above theory, build a modular database to store and call the carbon footprint units.DHU-LCA calculation software is developed for calculating the industrial carbon footprint of textile products. In order to compare with the existing SimaPro and GaBi accounting softwares, theindustrial carbon footprint of printing fabric is calculated by this three softwares at the same time.Results show that the industrial carbon footprints are different, and the main reason is due todifferent emission factor. So a unified, reasonable emission coefficient database is needed toestablish. It will benefit to the implementation of the carbon labels as well as comparison withdifferent carbon footprints.