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1. Research on Large Energy Integration and Heat Exchange Network Design Optimization of Oxidative Dehydrogenation Synthesis of Isoamylene | |||
Cheng Chen,Shi jianjun,Zuo Hui,Cao Xue,li Chaoxu,He Mingjie | |||
Chemical Engineering 27 September 2020 | |||
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Abstract:The project adopts oxidative dehydrogenation method to synthesize isoamylene, and uses rectification tower and multi-stage separator to separate and purify finally to obtain chemical purity isoamylene main product and cyclopentane by-product, with an output of 198,000 tons/year. In this paper, we use Aspen Energy Analyzer V11.0 software to design and optimize the energy integration and heat exchange network of the overall process, looking for the most energy-saving measures to minimize energy consumption. By adopting two-stage organic Rankine recycling technology and heat pump technology. Among them, the two-stage organic Rankine cycle technology uses the hydrogen cold source containing high-quality cold energy separated by the hydrogen separation tower, and saves the amount of public works through heat exchange between the cold source and the river water in the river near the site. So as to achieve the purpose of energy saving. The heat pump technology makes full use of the rectification tower with a small difference between the top and the bottom of the tower. By changing the temperature of the steam, it is possible to exchange heat for streams that could not exchange heat, thereby increasing the ratio of recoverable energy and achieving a greater degree Energy saving. Through this optimization measure, the converted energy saving is 99.74MW, which requires 64.48MW of cold utilities and 35.26MW of heat utilities, which achieves a greater degree of energy recovery. | |||
TO cite this article:Cheng Chen,Shi jianjun,Zuo Hui, et al. Research on Large Energy Integration and Heat Exchange Network Design Optimization of Oxidative Dehydrogenation Synthesis of Isoamylene[OL].[27 September 2020] http://en.paper.edu.cn/en_releasepaper/content/4752876 |
2. Recovery of excess cold energy from low-temperature hydrogen based on ASPEN PLUS two-stage Organic Rankine Cycling technology | |||
Cheng Chen,Shi Jianjun,Zu Runyin,Meng Wangbin,Ji Ke | |||
Chemical Engineering 07 September 2020 | |||
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Abstract:Energy has always been an eternal topic of human development. Hydrogen energy has unparalleled advantages such as large reserves, high heating value, and zero pollution. It can well solve the urgent problems of human society\'s energy shortage and environmental pollution. The propylene separated from carbon pentanes in the chemical plant of this project is selected as the working fluid of the organic Rankine cycle, and the process model established by ASPE PLUS software simulates and optimizes the problem of low-temperature hydrogen recovery in the chemical plant. In this project, 4 heat exchangers, 2 pumps, and 2 steam turbines are used to exchange cold and heat energy with the river near the plant to recover the cold energy of hydrogen, and generate 14.48kW of electricity to drive the generator to rotate. It has guiding significance for the recovery of low temperature cold source and process optimization in chemical plants. | |||
TO cite this article:Cheng Chen,Shi Jianjun,Zu Runyin, et al. Recovery of excess cold energy from low-temperature hydrogen based on ASPEN PLUS two-stage Organic Rankine Cycling technology[OL].[ 7 September 2020] http://en.paper.edu.cn/en_releasepaper/content/4752771 |
3. Study on Energy Integration and Heat Exchange Network Design Optimization of Vinyl Acetate Synthesis from Natural Gas Acetylene Process | |||
TANG Rongqing,ZENG Weizhao,YANG Manxia,YANG Lina,GAO Jianmin | |||
Chemical Engineering 29 February 2020 | |||
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Abstract:This research project uses acetylene and acetic acid as raw materials, zinc acetate-activated carbon as catalyst, and uses natural gas acetylene process to produce 330,000 tons every year of vinyl acetate products. In this paper, double-effect rectification technology and heat pump technology are used to design and optimize the system's energy integration and heat exchange network. Through the analysis of Aspen Energy Analyzer V10.0 software results, it is possible to find possible energy-saving measures to minimize industrial production costs. Double-effect distillation technology is used on the vinyl acetate distillation column, and the high-grade heat source at the top of the high-pressure distillation column is used to exchange heat with the re-boiling stream at the bottom of the atmospheric distillation column to save the amount of public works At the same time, the number of heat exchangers is reduced, thereby achieving the purpose of energy saving. The use of heat pump technology in the acetic acid distillation column to achieve the purpose of making full use of the energy at the top of the column, by changing the temperature of the steam to increase the possibility of heat exchange in the stream that could not be exchanged, thereby increasing the ratio of recoverable energy To achieve greater energy savings. | |||
TO cite this article:TANG Rongqing,ZENG Weizhao,YANG Manxia, et al. Study on Energy Integration and Heat Exchange Network Design Optimization of Vinyl Acetate Synthesis from Natural Gas Acetylene Process[OL].[29 February 2020] http://en.paper.edu.cn/en_releasepaper/content/4750979 |
4. Quantitative Structure-Property Relationship (QSPR) Modeling of Drug-Loaded Polymeric Micelle via Genetic Function Approximation | |||
Wen Sheng Wu,Can Yang Zhang,Quan Chen,Wen Jing Lin,Xin Dong Guo,Yu Qian,Li Juan Zhang | |||
Chemical Engineering 30 April 2014 | |||
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Abstract:In this paper, we have developed the QSPR models about doxorubicin loading capacity of the four/six-arm star block polymer micelles using genetic function approximation (GFA) algorithm. The performances of the model, for example fitting ability, predictive ability, stability and generalization ability, have been confirmed by internal validation, external validation and Y- randomization test. The applicability domain of the optimization model also has been defined. The relationship of microstructure and drug loading capacity of polymeric micelles is analyzed. The QSPR model could be used to evaluate the drug loading capacity of polymeric micelles quantificationally, while simultaneously optimizing the design of formulation experiments. | |||
TO cite this article:Wen Sheng Wu,Can Yang Zhang,Quan Chen, et al. Quantitative Structure-Property Relationship (QSPR) Modeling of Drug-Loaded Polymeric Micelle via Genetic Function Approximation[OL].[30 April 2014] http://en.paper.edu.cn/en_releasepaper/content/4594601 |
5. Drug Release from pH-Sensitive Micelles: Insight from Coarse-Grained Simulations | |||
NIE Shuyu,LIN Wenjign,YAO Na,GUO Xindong,ZHANG Lijuan | |||
Chemical Engineering 22 April 2014 | |||
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Abstract:How to control the release of drugs is the precondition of the effectiveness of pH-sensitive micelles. Generally, the property of the polymers and the distribution of drugs in micelles can notably influence the drug release from micelles. On the other hand, the drug distribution inside micelles depends on the compatibilities between drugs and polymers. In this work, the dissipative particle dynamics simulation method is used to study the structural transformation of micelles during the protonation process and the drug release process from micelles with different drug distributions firstly. On this basis, the effect of polymer structures, including different lengths of hydrophilic, pH-sensitive and hydrophobic blocks, on drug release are also studied. In the end, several corresponding design principles of pH-sensitive polymers for drug delivery are proposed according to the simulation results. This work is in favor of understanding the drug release mechanism of pH-sensitive micelles, and is of great significance to the development of new multiblock pH-sensitive polymeric micelles. | |||
TO cite this article:NIE Shuyu,LIN Wenjign,YAO Na, et al. Drug Release from pH-Sensitive Micelles: Insight from Coarse-Grained Simulations[OL].[22 April 2014] http://en.paper.edu.cn/en_releasepaper/content/4593308 |
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