LU Jiaqi;LIAO Wenjie;ZHANG Nan;GU Dungang;RAO Pinhua;LI Guanghui;Innovation Centre for Environment and Resources,Shanghai University of Engineering Science;Institute of New Energy and Low-Carbon Technology,Sichuan University;The Centre for Process Integration,The University of Manchester;The development of low-carbon technologies is one of the essential pieces to achieve carbon peak and carbon neutrality in China. However, from a life-cycle perspective, the industrial application of new technologies also requires additional resource inputs and brings new emissions, and the carbon reduction effect is uncertain. Thus, life cycle assessment(LCA) is needed to quantify the contribution of all unit processes to the carbon footprint, and to guide the process design and optimization of low-carbon technologies. For the conventional LCA, the environmental impacts are ex-post evaluated based on the industrial-scale production system, but it is difficult to obtain the data required for LCA for technologies that are still being developed at a pilot scale. Therefore, to evaluate the potential life-cycle environmental impacts of a technology under lab-scale development, the methodology development for ex-ante LCA will be a vital topic in the field of industrial ecology. At first, the main issues about the methodology of ex-ante LCA were summarized, including the difficulty of modeling the inventory data, defining the system boundary, and result interpretation. In addition to the application of the ex-ante LCA method to roughly estimate the potential carbon footprint and other environmental impacts of new technologies, it Is proposed that a more important function is to identify and optimize processes with high environmental impacts by quantifying the current carbon footprint of industrial ecosystems related to new technologies as a baseline target for the research and development of new technologies, so as to make low-carbon design recommendations for industrial applications. By summarizing representative cases of ex-ante LCA of emerging technologies, it is found that there is an order of magnitude gap between the carbon footprint calculated based on pilot-scale data and the actual industrial scale, so it is recommended to invest a small amount of additional manpower and software and hardware resources in the research and development process to realize the amplified simulation of the process, predict the energy consumption and input/output lists of the industrial scale, and carry out the life-cycle environmental impact assessment. Finally, as a case study for guiding the low-carbon development of technologies, the green design of a Cl recovery process for PVC waste was revealed by the integration of experiment, simulation, and ex-ante LCA for quantifying the influence of process variables such as different reactant concentrations, treatment volumes, reactor designs, operating conditions and other process variables on the list of process inputs and outputs, such as consumption of energy and raw and auxiliary materials, direct emissions, product yields, and the amount of wastes generated. Meanwhile, it realizes the use of carbon footprint as an evaluation indicator to guide the research and development of low-carbon process design and operating conditions for new technologies.
2023 08 v.29;No.156 [Abstract][OnlineView][HTML全文][Download 21757K]