为了研究动力电池在整个生命周期中的碳足迹,设计开发一款易于操作的碳足迹评价系统.以过程生命周期(PLCA)方法为基础,结合Python和Django框架进行系统设计和开发.最后,利用该系统对磷酸铁锂电池(LFP)的碳足迹进行了定量分析.研究结果表明,在LFP动力电池的全生命周期中,碳排放量最高的是原材料制备阶段,达到3 950.098 7 kg CO2e,运输阶段的碳排放量最少,仅为45.661 kg CO2e.
Design and Development of a Carbon Footprint Evaluation System for Power Batteries Based on PLCA
In order to study the carbon footprint of power battery in its whole life cycle,an easy-to-operate carbon footprint evaluation system is designed and developed.Based on the Process-Based Life Cycle Assessment(PLCA)method,the carbon footprint evaluation system is designed and developed with Python and Django Framework.Finally,the carbon footprint of lithium iron phosphate(LFP)battery is quantitatively analyzed by using the system.The results show that throughout the entire life cycle of power batteries,the highest carbon emissions occur during the raw material preparation stage,reaching 3 950.098 7 kg CO2e.The carbon emissions during the transportation phase are the lowest,with 45.661 kg CO2e.
Process-based Life Cycle Assessment(PLCA)methodPower batteryCarbon footprintCarbon emission
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