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Unraveling the mechanism of assimilatory nitrate reduction and methane oxidation by Methylobacter sp. YHQ through dual N-O isotope analysis and kinetic modeling

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Carbon research 2024年第1期3卷 1-14页

作者： Chen, Guojun Hao, Qinqin Zeng, Raymond Jianxiong Kappler, Andreas Li, Xiaomin Yue, Fujun Hu, Shiwen Yang, Yang Liu, Fanghua Li, Han Qian, Dayi Yang, Baoguo Sarkytkan, Kaster Liu, Tongxu Li, Fangbai National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation College of Resources and Environment Fujian Agriculture and Forestry University Fujian Fuzhou350002 China Geomicrobiology Center for Applied Geoscience University of Tübingen Tübingen72076 Germany Cluster of Excellence: EXC 2124: Controlling Microbes to Fight Infection Tübingen72074 Germany SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & ampMOE Key Laboratory of Theoretical Chemistry of Environment South China Normal University Guangzhou510006 China Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin300072 China Xinjiang Key Laboratory of Clean Conversion and High Value Utilization of Biomass Resources Yili Normal University Yining835000 China Department of Geography and Ecology Institute of Natural Sciences and Geography Abai Kazakh National Pedagogical University Almaty Kazakhstan

Assimilatory nitrate reduction and methane (CH4) oxidation by bacteria play important roles in carbon (C) and nitrogen (N) biogeochemical cycles. Here, an investigation of enzymatic assimilatory nitrate reduction and CH4 oxidation by Methylobacter sp. YHQ from the wetlands is presented, specifically concentrating on N and oxygen (O) isotope fractionation with various initial nitrate and oxygen concentrations. The N enrichment factors (15Εassimilation) increased from 4.2 ± 0.7‰ to 6.9 ±1.3‰ and the O isotope enrichment factors (18Εassimilation) increased from 2.7 ± 0.9‰ to 4.7 ± 0.8‰ during nitrate assimilation when initial nitrate concentrations increased from 0.9 mM to 2 mM. Similar 18Ε and 15Ε values were observed at different oxygen concentrations. The values of 18Ε and 15Ε provided vital parameters for the assessment of assimilatory nitrate reduction via the Rayleigh equation approach. The ratios of O and N isotope enrichment factors (18Ε:15Ε)assimilation ranged from 0.64 ± 0.15 to 0.74 ± 0.18 during nitrate assimilation by Methylobacter sp. YHQ with Nas, which were different from (18Ε:15Ε)assimilation for assimilatory eukaryotic nitrate reductase (eukNR) from literature data. Thus, N and O isotope fractionation could be useful tools to distinguish eukNR from Nas during nitrate assimilation. Additionally, the rates of CH4 oxidation and nitrate reduction were evaluated with a reaction-based kinetic model, and it quantitatively described the enzymatic reactions of nitrate assimilation. Combining dual N-O isotope analysis with kinetic modeling provides new insights into the microbially driven C-N interactions. Graphical Abstract: (Figure presented.) © The Author(s) 2024.

关键词： Kinetic parameters

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A Compatibility Evaluation Method for Substation Protection and Monitoring system Based on G1 Method and Expert Investigation 3

A Compatibility Evaluation Method for Substation Protection ...

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3rd International Conference on New Energy and Power engineering, ICNEPE 2023

作者： Xia, Hao Deng, Xiongyao Ma, Shizhong Yan, Yuxiang Xue, Ancheng Liu, Yu Shu, Zhihuai Chang, Naichao Li, Zhongqing Meng, Jiangwen Dou, Xuewei Wang, Shenqiang Wu, Fangying Fan, Chen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University Beijing China National Electric Power Dispatching and Control Center of State Grid Corporation of China Beijing China China Electric Power Research Institute Beijing China Beijing Sifang Engineering Co. Ltd Beijing China China Electric Power Research Institute Power Automation Department Nanjing China

ISBN: (纸本)9798350393224

In existing protection and monitoring system of substation(S-PMS), there are compatibility problems between hardware and software or between software-hardware combinations and systems, including differences in communication protocols between different manufacturers and differences in system adaptation. Compatibility issues have become a growing focus area for the power industry. This paper proposes a method to evaluates the compatibility of the protection and monitoring system of substation based on the G1 and expert investigation, for the existing or unbuilt substations. In detail, Firstly, according to the compatibility requirements of the substation protection and monitoring system, corresponding indicators are proposed and a comprehensive compatibility evaluation model is constructed. Secondly, based on the comprehensive evaluation model, the evaluation results of typical stations without domestic chips and optimized stations using domestic chips are compared to verify the feasibility of the proposed method. © 2023 IEEE.

关键词： Compatibility evaluation G1 method Protection and monitoring system

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Hydrogen Production from an On-Board Reformer for a Natural Gas Engine: A Thermodynamics Study

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SSRN 2023年

作者： Zheng, Yingyi Huang, Yong Zhang, Zunhua Long, Yanxiang Li, Gesheng Zhang, Yi School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Hubei Wuhan430063 China National Engineering Research Center of ship & shipping Control System Wuhan University of Technology Hubei Wuhan430063 China

In the present study, a thermodynamic model used to simulate exhaust gas-fuel reforming process of reformer is established by equilibrium constants and demonstrated by experimental data. The effect of engine loads and excess air ratio (λ) as well as reformer feedstock on maximum theoretical reforming characteristics are investigated. Meanwhile, the energetic distribution in open-loop system of NG engine and exhaust gas-fuel reformer can be clarified by the first law of thermodynamic. The results show that the theoretical H2 production, H2 yield and CH4 conversion increase with engine loads. Under 75% engine load, maximum theoretical H2 yield reaches up to approximately 42.3% when λ = 1.4, CH4/O2 (M/O) = 1.5 and H2O/CH4 (S/M) = 2. The M/O should be maintained above 1.5 to reduce heat loss and acquire optimal reforming energy efficiency. Summarily, optimal operation conditions for reformer are confirmed: M/O = 1.5-2.5 and S/M = 1.5-2 at 75% engine load. © 2023, The Authors. All rights reserved.

关键词： Gases

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Multi-Objective Optimization of the Performance for a Marine Methanol-Diesel Dual Fuel Engine

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SSRN 2024年

作者： Wei, Feng Zhang, Zunhua Wei, Wenwen Zhang, Hanyuyang Cai, Wenwei Dong, Dongsheng Li, Gesheng Kunming University of Science and Technology China China Dalian University of Technology China School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Hubei Wuhan430063 China National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China

This work aims to improve the performance of a marine methanol-diesel dual-fuel engine. First, the computational fluid dynamic model of the dual-fuel engine was built. Then, an intelligent regression method based on the grey wolf optimizer (GWO) algorithm optimized support vector machine regression (SVR) was proposed. The methanol substitution rate (MSR), excess air ratio (EAR), and diesel injection timing (DIT) were adopted as the decision variables to establish the regression models for NOx, CO, and CO2 emissions and indicated specific fuel consumption (ISFC). Subsequently, a multi-objective grey wolf optimizer (MOGWO) and entropy weight TOPSIS were employed to obtain the optimal case for achieving low NOx and CO emissions and ISFC. Finally, the maximum MSR was explored to achieve greater carbon reduction benefits while balancing the NOx emission and ISFC. The results showed that after GWO optimization, the coefficients of determination of the SVR regression models are all greater than 0.95, with mean square errors consistently below 1.5%. It indicates that the regression models have excellent consistency and applicability. The optimal case calculated by MOGWO and entropy-weighted TOPSIS enables co-optimization of the NOx emission and ISFC while maintaining the CO emission below 600 ppm. Compared to the original case, the optimal case achieves reductions of 26.22% for NOx and 13.39% for ISFC. The exploration of the maximum MSR reveals that in the Pareto optimal set, the maximum MSR reaches 56.16%, at which point the NOx emission and CO2 reduce by 75.85% and 59.32% respectively, while the ISFC increases by 21.67% compared to the original case. © 2024, The Authors. All rights reserved.

关键词： Methanol

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Wave Motion Compensation controller Design for a Catamaran Upper Platform in the Presence of External Disturbance

Wave Motion Compensation Controller Design for a Catamaran U...

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Fully Actuated system Theory and Applications (CFASTA), Conference on

作者： Junyu Shen Rongji Yin Yao Yu Rijie Zeng Zhihuan Hu Weidong Zhang Jinhui Lu Wei Xie Department of Automation Shanghai Jiao Tong University Shanghai China SJTU Yazhou Bay Institute of Deepsea Sci-Tech Shanghai Jiao Tong University Hainan China National Engineering Research Center of Ship & Shipping Control System Shanghai China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This paper presents a nonlinear controller for the upper platform of a catamaran in the presence of external time-varying disturbance induced by wind or wave. To handle disturbances, an observer is employed. Designed using the backstepping method, the controller effectively maintains the platform within a small neighborhood of 10 −3 (m or rad) of the desired attitude and the observer monitors external disturbance in real time. Simulation results validate the strategy, demonstrating the platform’s ability to consistently maintain an ideal posture in the presence of dynamic disturbance.

关键词： Robust control Attitude control Simulation Observers Stability analysis Real-time systems Motion compensation

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Long Short-Term Memory-Based Model Predictive control for Virtual Coupling in Railways

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Wireless Communications and Mobile Computing 2022年第0期2022卷

作者： Chai, Ming Su, Haoxiang Liu, Hongjie School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing100044 China

The increasing need for capacity has led the railway industry to explore new train control systems based on a concept called virtual coupling. Inspired by the platooning of autonomous vehicles, the safe operation of virtual coupling is guaranteed by a relative brake distance-based train separation method. This paper proposes a novel long short-term memory (LSTM)-based model predictive control (MPC) method for train operations. An MPC-based control design for virtual coupled train operations is presented. The LSTM is introduced to model the dynamics of the preceding train to approximate the actual train operations. With the train dynamics models, the operation trajectories of the preceding train are predicted based on planned control inputs. A study of a metro line in Chengdu was chosen to analyze the proposed control approach. The simulation results of different scenarios show that compared with the conventional MPC methods, the proposed LSTM-based MPC can reduce the speed differences and position differences of tracking trains by up to 35% and 25%, respectively. © 2022 Ming Chai et al.

关键词： Model predictive control

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An IMU Error Correction Method Based on Multithreshold ZV Detection and SRCKF

An IMU Error Correction Method Based on Multithreshold ZV De...

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2023 International Conference on Cyber-Physical Social Intelligence, ICCSI 2023

作者： Luo, Jialiang Chen, Shichao Lv, Yisheng Sun, Wenqiao Yang, Fan Xu, Ruijie Institute of Automation Chinese Academy of Sciences School of Information Engineering China University of Geosciences Beijing The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences College of Rail Transit Shan Dong JiaoTong University The State Key Laboratory for Management and Control of Complex System Jinan China The Hong Kong Polytechnic University Department of Aeronautical and Aviation Engineering Hong Kong Hong Kong

ISBN: (纸本)9798350312492

With the rapid development and widespread application of Inertial Measurement Units (IMUs), IMU-based human localization has become critically important in environments lacking Global Navigation Satellite systems (GNSS) signals. Methods such as UWB/WIFI and other anchor-based localization have been employed to enhance the positioning accuracy. However, these methods are susceptible to the environmental interference and increased costs. In contrast, SINS-based localization methods eliminate reliance on the external data. However, this method can suffer from drift errors due to cumulative integration errors. Inertial navigation error correction techniques like Zero Detection Update Technology (ZUPT) provide potential solutions to address drift errors. This paper proposes an error correction method based on the multithreshold zero-velocity detection and Square Root Cubature Kalman Filter (SRCKF) updates. Compared to the single fixed threshold detection, the multi-threshold zero-velocity detection reduces the likelihood of missed zero velocity detection and false alarms, providing accurate time intervals for error correction. Experimental results demonstrate that the SRCKF-based algorithm reduces position deviation to approximately 0.3146 meters, corresponding to an error ratio of1.14%. The proposed method enables cost-effective and accurate pedestrian localization, driving advancements in the field. © 2023 IEEE.

关键词： Cost effectiveness

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Information Security Architecture Design of CBTC system 7

Information Security Architecture Design of CBTC System

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7th Annual International Conference on Network and Information systems for Computers, ICNISC 2021

作者： Zhao, Hongli Li, Lili Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing100044 China Datang Mobile Communications Equipment Co. Ltd Beijing100083 China

ISBN: (纸本)9781665402323

In existing Communication Based Train control (CBTC) system, information security threats are analyzed, then information security demands of CBTC system are put forward. To protect information security, three security domains are divided according the Safety Integrity Level (SIL)) of CBTC system. Information security architecture of CBTC system is designed, special use firewalls and intrusion detection system are adopted. Through this CBTC system security are enhanced and operation safety is ensured. © 2021 IEEE.

关键词： Intrusion detection

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Slewing control of Overhead Crane Based on State-enhance Coupling Method

Slewing Control of Overhead Crane Based on State-enhance Cou...

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第43届中国控制会议

作者： Rui Liu Biao Lu Jinyang Dong Weili Ding The 6th Research Institute of China Electronic Corporation Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Engineering Research Center of Intelligent Control System and Intelligent Equipment Ministry of Education Yanshan University National Key Laboratory of Key Technologies for Lifting Machinery Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Cranes which are frequently utilized as sizable machinery, are widely used across a range of settings, including warehouses, distribution hubs, harbors, steel plants, and manufacturing facilities. However, the current researches on cranes have paid insufficient attention to the rotation of loads during transportation. Additionally, some of the proposed control methods fail to effectively integrate information from both actuated DOFs(degrees of freedom) and unactuated DOFs, leading to a loss of controller robustness. In this paper, we establish an overhead crane model with a slewing mechanism, focusing on the analysis of crane's lifting and rotating motion. Based on that, a nonlinear controller is proposed for load slewing control. The stability of the controller is proven using Lyapunov techniques and LaSalle's invariance theorem. The effectiveness and robustness of the controller are validated through numerical simulations.

关键词： Load Rotation Nonlinear controller Robustness

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Accurate MTPA control Based on Ferrari Method for IPMSM with Partial Derivative Term Calculation

Accurate MTPA Control Based on Ferrari Method for IPMSM with...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Yiyang Li Xin Gu Zhiqiang Wang Liyan Guo Wei Chen Xinmin Li Chen Li School of Electronics and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tianjin China School of Electrical Engineering Tiangong University Tianjin China National Local Joint Engineering Research Center of Electrical Machine System Design and Manufacturing China Zhejiang University Advanced Electrical Equipment Innovation Center Hangzhou China

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

Even if the exact motor parameters are known, the MTPA strategy cannot obtain precise maximum torque per ampere (MTPA) points under large current amplitude because the partial derivative of inductance to current is ignored in the modeling process. In view of this, the MTPA mathematical model considering the partial derivative of inductance to current is established in this paper, and the MTPA point tracking error caused by ignoring the partial derivative in the modeling process based on Ferrari method is analyzed. Then, an offline-online combined method for calculating the partial derivative term is proposed to compensate the MTPA tracking error. On this basis, an MTPA control strategy based on Ferrari method considering the partial derivative of inductance to current is proposed. Experiment to verify the feasibility and effectiveness of the proposed method.

关键词： Inductance Analytical models Torque Accuracy Permanent magnet motors Mathematical models Trajectory

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