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Simulation-Based Estimates of Life Cycle Inventory Gate-to-Gate Process Energy Use for 151 Organic Chemical Syntheses

机译:基于仿真的生命周期库存栅极到栅极工艺能量使用151个有机化学合成

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摘要

Process energy data is integral to the sustainability analysis of chemical products and processes. However, due to the lack of primary data from chemical plants, process energy calculations in chemical life-cycle inventories (LCIs) often rely primarily on empirical averages, estimations based on proxy processes, or the industrial chemistry literature. In this study, we demonstrate a streamlined process simulation-based methodology to estimate energy consumption in chemical manufacturing when the data availability for the process is limited. The methodology is applied to 151 different chemical processes using Aspen Plus to estimate their gate-to-gate process energy use, representing the largest such simulation-based LCI data set to date. Further, pinch analysis used for process heat integration and specification of different utility types for each of the chemical processes enhance the representativeness of the LCI data. The total heating requirement for chemicals assessed ranges from 0.1 to 24 MJ/kg with an average of 3.1 MJ/kg product, while the average cooling requirement before heat integration is 4.5 MJ/kg. More than half of the total energy requirement comes from the separation section. Steam is the most used hot utility in the chemical industry which reflects in the simulation results, accounting for 70% of the heating requirements, while air and cooling water accounts for 40% of the cold utilities used. The engineering design-based estimates reported here represent a substantial addition to chemical LCI data and can provide a strong foundation for future predictive models for the large chemical universe.
机译:过程能量数据与化学产品和工艺的可持续性分析是一体的。然而,由于化学植物的主要数据,化学生命周期库存(LCIS)的过程能量计算通常主要依赖于基于代理流程的经验平均值,或工业化学文献。在这项研究中,我们展示了一种基于简化的过程模拟的方法,以在该过程的数据可用性受到限制时估计化学制造中的能量消耗。该方法应用于使用Aspen Plus的151种不同的化学过程来估计其栅极到栅极工艺能量使用,其代表迄今为止的基于模拟的LCI数据。此外,用于工艺热集成和每个化学过程的处理热集成和规范的捏合分析增强了LCI数据的代表性。化学品的总热量要求评估为0.1至24 mJ / kg,平均为3.1 mJ / kg产品,而热集成前的平均冷却要求为4.5 mJ / kg。超过一半的总能源要求来自分离部分。 Steam是化学工业中最常用的热能,反映了仿真结果,占加热要求的70%,而空气和冷却水占所使用的40%的寒冷公用事业。这里报告的基于工程设计的估计代表了化学LCI数据的实质性,并且可以为未来的大型化学宇宙提供强大的基础。

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