Low Carbon Optimization Design Of Transformer Based On Carbon Footprint Analysis

With the acceleration of industrialization, the problems such as environmental pollution and ecological damage and other issues have become increasingly serious, and even a threat to social stability and national security, resource and environmental problems have become the key constraining the sustainable development of China’s economic and social resistance. On the basis of low energy consumption, low pollution of "low carbon economy" has become a hot spot in the global. At present, China’s manufacturing industry is in a stage of rapid development, but the low energy utilization rate, high carbon emissions, has become the main contradiction with the rapid development of the manufacturing industry. The carbon emission performance of the transformer has become an important index to measure the competitiveness of the industry in the low carbon economy environment, Accelerate the low-carbon economy, develop low-carbon transformers, is the inevitable choice of survival and development in the new economic environment. To develop low carbon design technology and tool, also has become the important research trend in the field of design.In view of the above problems, the paper takes the transformer as the research object,the carbon footprint of the whole life cycle was analyzed, and the key carbon emission factors were extracted . Taking the minimum carbon footprint as the optimization objective,the multi - objective optimization model of low carbon design was constructed, and the optimization design of the transformer low carbon was sought.Firstly, the carbon footprint analysis model of transformer and the calculation flow of carbon footprint are established, the system boundary is determined, and the data of the life cycle stages of each life cycle are collected and analyzed. The carbon footprint calculation model was established by using the whole life cycle analysis method, the distribution of the carbon footprint of each stage of the transformer in the whole life cycle is analyzed, and the carbon footprint of the transformer is calculated by Gabi software.Secondly, Considering the factors of each stage of the whole life cycle, the key design factors of transformer based on customer demand are extracted, Then, the factors of high priority in technology demand are selected and the key factor of the factors in the more significant stage of the carbon emission process of the transformer was analyzed by using the improved sensitivity analysis method. The uncertainty analysis method of AHP -Probability Distribution was established, and the confidence interval was selected to compare the significance of the uncertainty of each factor, so as to determine the key factors affecting the carbon emission in the whole life cycle of the transformer.Finally, with the minimum of carbon footprint as the optimization goal, the multi -objective optimization model of low carbon design is constructed, called the Matlab optimization toolbox, using GAOT to solve the optimization model. In the optimization process, considering the particularity of the objective function and the complexity of the calculation. Many times in the constraint variables are allowed within the scope of the simulation calculation, more groups of optimization results are gotten, so as to seek the optimal solution.