Reducing total annual cost and CO2 emissions in batch distillation for separating ternary wide boiling mixtures using vapor recompression heat pump

IF 1 Q4 ENGINEERING, CHEMICAL Chemical Product and Process Modeling Pub Date : 2022-01-06 DOI:10.1515/cppm-2021-0057
Radhika Gandu, Akash Kumar Burolia, S. R. Ambati, Uday Bhaskar Babu Gara
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Abstract

Abstract This paper presents cost-effective heat pump assisted vapor recompression (VRC) design algorithms for the separation of ternary wide boiling mixture in batch distillation in order to reduce total annual cost (TAC) and carbon dioxide (CO2) emissions. A minimum TAC and CO2 is required by the batch distillation process industry for any investments in heat integrated systems, such as VRC. Consequently, the design conditions for implementing VRC should be chosen such that the energetic performance is maximum at minimum TAC. The model system selected in this paper is an application involving high temperature lift, that is, hexanol–octanol–decanol ternary wide boiling mixture. First, a systematic simulation algorithm was developed for conventional multicomponent batch distillation (CMBD) and single-stage vapor recompressed multicomponent batch distillation (SiVRMBD) to determine the optimal number of stages based on the maximum TAC savings. The SiVRMBD saves more energy and TAC than CMBD. However, SiVRMBD has a high compression ratio (CR) throughout the operation, which is not practically feasible for the batch distillation processing. Second, in order to increase the performance and minimize the SiVRMBD weakness, a novel optimal multi-stage vapor recompression algorithm was proposed to operate at the lowest possible CR (<3.5) throughout the batch operation while also conserving the most TAC. Overall, the findings suggest that the proposed optimal multi-stage VRC reduces TAC and CO2 emissions significantly when compared to CMBD. Finally, the influence of the different feed compositions on VRC performance is also studied.
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蒸汽再压缩热泵分离三元宽沸混合物间歇蒸馏降低年总成本和CO2排放
摘要本文提出了一种经济高效的热泵辅助蒸汽再压缩(VRC)设计算法,用于间歇蒸馏中三元宽沸混合物的分离,以降低年总成本(TAC)和二氧化碳(CO2)排放。间歇蒸馏工艺行业对热集成系统(如VRC)的任何投资都需要最低的TAC和CO2。因此,应选择用于实现VRC的设计条件,使得能量性能在最小TAC下最大。本文选择的模型体系是一个涉及高温升程的应用,即己醇-辛醇-癸醇三元宽沸混合物。首先,为传统的多组分间歇蒸馏(CMBD)和单级蒸汽再压缩多组分分批蒸馏(SiVRMBD)开发了一种系统模拟算法,以根据最大TAC节省量确定最佳级数。SiVRMBD比CMBD节省更多的能源和TAC。然而,SiVRMBD在整个操作过程中具有较高的压缩比(CR),这对于间歇蒸馏工艺来说实际上是不可行的。其次,为了提高性能并最大限度地减少SiVRMBD的弱点,提出了一种新的优化多级蒸汽再压缩算法,该算法在整个批量操作过程中以尽可能低的CR(<3.5)运行,同时还保留了最多的TAC。总体而言,研究结果表明,与CMBD相比,所提出的最佳多级VRC显著降低了TAC和CO2排放。最后,还研究了不同进料组成对VRC性能的影响。
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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