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2nd International Conference on Green Energy Conversion System, ICGECS 2023

作者： Alazrag, Achwak Sbita, Lassaad Research Laboratory of Process Energies Environment and Electrical Systems National Engineering School of Gabes University of Gabes Zrig Eddakhlania Gabes6029 Tunisia

ISBN: (纸本)9789819761470

This research paper presents a new approach to examine the behavior of a grid connected Squirrel Cage Induction Generator (SCIG) system, both in steady state and dynamic condition. The SCIG which is driven by a wind turbine via a gearbox, is connected to the distribution system through Power Electronics Converters (PECS), filters, and step-up transformers. The main focus of this paper is on the vector strategy employed for the SCIG, which allows independent control of flux and electromagnetic torque on the PWM converter, while achieving maximum power point tracking (MPPT). The grid side converter plays a crucial role in regulating the DC link voltage, injecting active power through d-axis current, and controlling reactive power injection through q-axis current. The effectiveness of the proposed method is demonstrated through simulation results. The simulation of the entire system are conducted within the MATLAB/Simulink environment, and the obtained results are considered satisfactory. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Fuzzy control

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Thermo-economic comparison of CO2 and water as a heat carrier for long-distance heat transport from geothermal sources 36

Thermo-economic comparison of CO2 and water as a heat carrie...

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36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2023

作者： Ungar, Pietro Schifflechner, Christopher Wieland, Christoph Spliethoff, Hartmut Manfrida, Giampaolo University of Florence Florence Italy Energy Systems School of Engineering and Design Technical University of Munich Germany Energy Process Engineering and Energy Systems University of Duisburg-Essen Germany

ISBN: (纸本)9781713874928

Deep geothermal energy has tremendous potential for decarbonizing the heating sector. However, one common obstacle can be the mismatch between geologically attractive regions in the countryside and urban areas with a high heat demand density, which are therefore attractive for district heating systems. In the last years, an increasing number of regions consider the transport of geothermal heat into urban clusters. One example of such a region is the South German Molasse Basin in Upper Bavaria. However, such heat transport pipelines come along with massive upfront investment costs due to the required large pipe diameter and insulation thickness. While the classic concept foresees the use of water as a heat carrier in such long-distance heat transportation pipelines, CO2 can be an attractive alternative. This study investigates the thermo-economic performance of CO2 as a heat transport carrier for a potential long-distance heat transmission pipeline with a length of 20 km, which could connect a planned geothermal project in the South of Munich with the existing district heating network of Munich. The results of the base case scenario demonstrate that for both heat carrier options water and CO2 rather low LCOH for the transport of the heat can be achieved. The resulting additional LCOH by the long-distance heat transport of around 0.6 cC/kWh are rather small compared to the typical overall LCOH of geothermal district heating systems. Comparing the thermo-economic performance of water and CO2 reveals rather similar achievable LCOH, with a slight advantage for the classical concept of using water. However, this changes if the installation of a high temperature heat pump (HTHP) is considered in order to increase the thermal capacity of the heat transport system. In the case of using CO2, the additional temperature increase takes place directly within the CO2 stream by just installing a compressor, while in the case of the water system, a complete HTHP system needs to be i

关键词： Carbon dioxide

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Global optimization of sensor installation angles for separating spindle error and roundness

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Precision engineering 2025年 95卷 364-378页

作者： Kang, Weimin Chen, Chong Zhong, Liuzhou Ruan, Jiahao Fu, Jianzhong State Key Laboratory of Fluid Power & Mechatronic Systems College of Mechanical Engineering Zhejiang University Hangzhou310027 China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province College of Mechanical Engineering Zhejiang University Hangzhou310027 China

Measuring the motorized spindle's motion error and the rotating parts' roundness are of great significance in machining. However, these two errors are usually mixed in measurement, and separating them is a big challenge. The three-probe method is suitable for on-machine measurement because it does not require the movement of the sensor during measurement. However, there is the problem of harmonic suppression in the three-probe method and harmonic suppression is closely related to the sensor installation angle. This study studied the harmonic suppression phenomenon and gave two performance indicators for angle optimization, optimized the angles in global scope, and gave the best recommended values for the sensor installation angles. A special fixture was designed for precise angle measurement and adjustment, and a cross-correlation analysis method was adopted. Simulations were then created to simulate theoretical errors, rounding errors, and angular uncertainties. Finally, experiments were conducted to verify the discussed errors and results. © 2025 Elsevier Inc.

关键词： Strain measurement

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Study on ionic liquids based novel method for separation and purification of silkworm pupa protein

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Chinese Chemical Letters 2023年第1期34卷 382-387页

作者： Wen Zhang Shaoqi Yang Baozeng Ren Xingmei Lu Cai Jia Beijing Key Laboratory of Ionic Liquids Clean Process CAS Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Zhengzhou Institute of Emerging Industrial Technology Zhengzhou 450000China Key Laboratory of New Materials and Facilities for Rural Renewable Energy of Ministry of Agriculture and Rural Affairs College of Mechanical&Electrical EngineeringHenan Agricultural UniversityZhengzhou 450002China School of Chemical Engineering Zhengzhou UniversityZhengzhou 450001China

Silkworm pupa protein(SPP)that obtained by traditional method usually had a high fat content,which would impose restrictions on the further use of ***,various functionalized ionic liquids(ILs)were used to extract SPP from silkworm pupae,the structure-performance relationship of ILs with their SPP separation performance were explored at the same *** research showed that the maximum extraction yield of SPP was up to 62.6%with less than 0.5%low fat content by using 1-ethyl-3-methylimidazolium chloride([Emim]Cl),when the dissolution experiment was conducted at 90°C for 24 h with ethanol bath as the regeneration *** with the structure of raw material,the regenerated SPP maintained the native protein ***,all regenerated SPP showed a decreased crystallinity,which also exhibited decreased fraction of theα-helix comparing to thatβ-sheet united with coil random structures.

关键词： Silkworm pupa protein Ionic liquids Protein backbone Silkworm pupa Separation

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Solving for Exact Designs in Optimal Experiment Campaigns under Uncertainty ⁎

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IFAC-PapersOnLine 2024年第14期58卷 658-663页

作者： Marco Sandrin Kennedy P. Kusumo Constantinos C. Pantelides Benoît Chachuat The Sargent Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London UK Siemens Process Automation Software London UK

Applying model-based design of experiments to compute maximally-informative campaigns with multiple parallel runs is challenging. Effort-based methods can overcome some of these challenges through discretizing the experimental space into a finite set of candidate experiments, then applying convex optimization techniques to determine the optimal Efforts for each candidate, and finally rounding the Efforts to integer numbers of runs for a target experimental campaign size. For small experiment campaigns in particular, the final rounding can result in large suboptimality. This paper presents an approach to solving the exact design problem, where the Effort variables being optimized are constrained to taking integer values. We consider model parametric uncertainty and formulate risk-inclined, risk-neutral and risk-averse exact design problems as mixed-integer nonlinear programs (MINLPs) with convex participating functions. We demonstrate the tractability of an outer-approximation algorithm to solve such MINLPs to global optimality on a case study involving the exothermic esterification of propionic anhydride with over 1000 experiment candidates and 100 uncertainty scenarios.

关键词： Optimal experiment design Model-based design of experiments Experiment campaign Mixed-integer optimization Uncertainty

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Simulation and design of a heat-integrated double-effect reactive distillation process for propylene glycol methyl ether production

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Chinese Journal of Chemical engineering 2022年第12期52卷 103-114页

作者： Ran An Shengxin Chen Shun Hou Yuting Zhu Chunhu Li Xinbao Zhu Ruixia Liu Weizhong An Department of Chemical Engineering Ocean University of ChinaQingdao 266100China Beijing Key Laboratory of Ionic Liquids Clean Process CAS Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China College of Chemical Engineering Nanjing Forestry UniversityNanjing 210037China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China

A double-effect reactive distillation(DERD)process was proposed for the production of propylene glycol methyl ether from propylene oxide and methanol to overcome the shortcoming of low selectivity and high-energy consumption in the tubular plug-flow reactor.A single-column reactive distillation(RD)process was conducted under optimized operating conditions based on sensitivity analysis as a *** results demonstrated that the proposed DERD process is able to achieve more than 95%selectivity of the desired *** that,a design approach of the DERD process with an objective of the minimum operating cost was proposed to achieve further energy savings in the RD *** proposed DERD configuration can provide a large energy-savings by totally utilization of the overhead vapor steam in the high-pressure RD column.A comparison of the single-column RD process revealed that the proposed DERD process can reduce the operating cost and the total annual cost of 25.3%and 30.7%,respectively,even though the total capital cost of DERD process is larger than that of the RD process.

关键词： Propylene oxide Reactive distillation Heat integration Propylene glycol monomethyl ether process simulation

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Ammonia as a Green Energy Carrier to Lower Blast Furnace CO2 Emissions

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ISIJ International 2025年第5期65卷 601-612页

作者： Mauret, Florent Ji, Jihong Kinzel, Peter Saxén, Henrik Baniasadi, Mehdi Green Iron Making Team Paul Wurth S.A. 32 Rue d’Alsace Gare Luxembourg1122 Luxembourg Process and Systems Engineering Åbo Akademi University Henrikinkatu 2 Turku20500 Finland

Green hydrogen is seen as crucial for the decarbonisation of the economy. Yet, some regions may lack local producing capability, necessitating hydrogen imports. Ammonia can be a cost-effective solution to indirectly transport hydrogen. Three concepts are presented for using ammonia as reductant in the Blast Furnace (BF) process. The first concept, called EASyMelt shaft, incorporates cracked ammonia into the furnace’s shaft. The second concept, NH3 EASyMelt, takes the changes a step further and injects cracked ammonia in both the bosh and shaft tuyeres. The cracked ammonia, heated by plasma torches, replacing hot blast and coal in the bosh tuyeres. Finally, NH3 EASyMelt is implemented with top gas recycling (TGR). The furnace operation under these scenarios is compared to conventional operation using a multi-phase BF process model. The CO2 emissions are found to be reduced by 15% for EASyMelt shaft, 60% for NH3 EASyMelt without TGR and 55% with it. The new concepts are also shown to have a significant impact on the thermal state, gas distribution, pressure drop and cohesive zone characteristics. The study sheds light on how ammonia could be integrated into the BF process, and the expected impact on the furnace thermochemical state and the CO2 emissions. © 2025 The Iron and Steel Institute of Japan.

关键词： Steelmaking

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Steady state modeling of autotrophic membrane bioreactor – a new approach to quantify biomass

Arab Gulf Journal of Scientific Research

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Arab Gulf Journal of Scientific Research 2024年第3期42卷 920-941页

作者： Gasmi, Aicha Heran, Marc Elboughdiri, Noureddine Kolsi, Lioua Ghernaout, Djamel Hannachi, Ahmed Grasmick, Alain Department of Chemical Engineering Laboratory of Engineering Processes and Industrial Systems National School of Engineering of Gabes-Tunisia Gabes Tunisia European Institute of Membrane Montpellier II France Department of Chemical Engineering Process National School of Engineers Gabes Tunisia Department of Mechanical Engineering College of Engineering Ha’il Saudi Arabia Department of Chemical Engineering College of Engineering Ha’il Saudi Arabia Laboratory of Process Engineering and Industrial Systems Gabes Tunisia European Membrane Institute Montpellier II France

Purpose: The main purpose of this study resides essentially in the development of a new tool to quantify the biomass in the bioreactor operating under steady state conditions. Design/methodology/approach: Modeling is the most relevant tool for understanding the functioning of some complex processes such as biological wastewater treatment. A steady state model equation of activated sludge model 1 (ASM1) was developed, especially for autotrophic biomass (XBA) and for oxygen uptake rate (OUR). Furthermore, a respirometric measurement, under steady state and endogenous conditions, was used as a new tool for quantifying the viable biomass concentration in the bioreactor. Findings: The developed steady state equations simplified the sensitivity analysis and allowed the autotrophic biomass (XBA) quantification. Indeed, the XBA concentration was approximately 212 mg COD/L and 454 mgCOD/L for SRT, equal to 20 and 40 d, respectively. Under the steady state condition, monitoring of endogenous OUR permitted biomass quantification in the bioreactor. Comparing XBA obtained by the steady state equation and respirometric tool indicated a percentage deviation of about 3 to 13%. Modeling bioreactor using GPS-X showed an excellent agreement between simulation and experimental measurements concerning the XBA evolution. Originality/value: These results confirmed the importance of respirometric measurements as a simple and available tool for quantifying biomass. © 2023, Aicha Gasmi, Marc Heran, Noureddine Elboughdiri, Lioua Kolsi, Djamel Ghernaout, Ahmed Hannachi and Alain Grasmick.

关键词： Activated sludge model 1 (ASM1) Bioreactor Respirometric tool State variable Steady state modeling

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A novel strategy of lithium recycling from spent lithium-ion batteries using imidazolium ionic liquid

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Chinese Journal of Chemical engineering 2022年第1期35卷 246-251页

作者： Hongshuai Zheng Jiaqi Huang Tao Dong Yifan Sha Haitao Zhang Jie Gao Suojiang Zhang CAS Key Laboratory of Green Process and Engineering Beijing Key Laboratory of Ionic Liquids Clean ProcessState Key Laboratory of Multiphase Complex SystemsInnovation Academy for Green ManufactureInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450002China Ningbo Institute of Materials Technology&Engineering Chinese Academy of SciencesNingbo 315201China

In light of the increasing demand for environmental protection and energy conservation,the recovery of highly valuable metals,such as Li,Co,and Ni,from spent lithium-ion batteries(LIBs)has attracted widespread *** conventional recycling strategies,however,suffer from a lack of lithium recycling,although they display high efficiency in the recovery of Co and *** this work,we report an efficient extraction process of lithium from the spent LIBs by using a functional imidazolium ionic *** extraction efficiency can be reached to 92.5%after a three-stage extraction,while the extraction efficiency of Ni-Co-Mn is less than 4.0%.The new process shows a high selectivity of lithium *** spectroscopy and ultraviolet are utilized to characterize the variations in the functional groups during extraction to reveal that the possible extraction mechanism is cation *** results of this work provide an effective and sustainable strategy of lithium recycling from spent LIBs.

关键词： Ionic liquid Lithium Selective extraction Spent lithium batteries Recovery

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A neural network-based production process modeling and variable importance analysis approach in corn to sugar factory

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Frontiers of Chemical Science and engineering 2023年第3期17卷 358-371页

作者： Yi Tong Mou Shu Mingxin Li Yingwei Liu Ran Tao Congcong Zhou You Zhao Guoxing Zhao Yi Li Yachao Dong Lei Zhang Linlin Liu Jian Du COFCO Biotechnology Co. Ltd.Beijing 100005China COFCO Nutrition and Health Research Institute Co. Ltd.Beijing 102209China Institute of Process Systems Engineering School of Chemical EngineeringDalian University of TechnologyDalian 116024China

Corn to sugar process has long faced the risks of high energy consumption and thin ***,it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related *** data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational *** this paper,a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes,which contains data preprocessing,dimensionality reduction,multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection *** the established model,dextrose equivalent value is selected as the output,and 654 sites from the DCS system are selected as the *** analysis is first applied to reduce the data dimension to 155,then the inputs are dimensionalized to 50 by means of genetic algorithm ***,variable importance analysis is carried out by the extended weight connection method,and 20 of the most important sites are selected for each neural *** results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%,which have a better prediction result than other models,and the 20 most important sites selected have better explicable *** major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

关键词： big data corn to sugar factory neural network variable importance analysis

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