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Thermodynamic analysis of the effect of internal heat exchanger on the dual-ejector transcritical CO2 cycle for low-temperature refrigeration

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INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2022年第9期46卷 12702-12721页

作者： Zeng, Min-Qiang Zhang, Xue-Lai Mo, Fan-Yang Zhang, Xin-Rong Shanghai Maritime Univ Merchant Marine Coll Shanghai Peoples R China Peking Univ Dept Energy & Resources Engn Coll Engn Beijing 100871 Peoples R China Beijing Engn Res Ctr City Heat Beijing Peoples R China

The use of CO2 as a refrigerant has become a trend in the development of the refrigeration industry. Refinement of new layout and improvement of cycle performance remains a major research direction, which coupling ejector and internal heat exchanger with the transcritical CO2 cycle is a popular method. In this paper, the issue of the effect of different positions of the internal heat exchanger on the dual-ejector transcritical CO2 refrigeration cycle is discussed. The dual-ejector cycle is evaluated both thermodynamically and economically by means of multi-parameter optimization, which is compared with conventional two-stage transcritical CO2 refrigeration cycle. The obtained results show that the COP of the dual-ejector transcritical CO2 refrigeration cycle is on average about 42% higher than that of the conventional two-stage transcritical CO2 refrigeration cycle. Adding internal heat exchanger at different locations cannot improve the performance of dual-ejector transcritical CO2 refrigeration cycle system in low-temperature refrigeration. In addition, the exergy and economic analysis shows that the dual-ejector transcritical CO2 refrigeration cycle has better exergy efficiency, and the increase of internal heat exchanger is an unfavorable exergy efficiency. The exergy destruction rate and the total cost of the dual-ejector system are on average 58% and 19% lower than that of the conventional cycle, respectively. At the same time, the addition of internal heat exchanger has very little impact on the total system cost.

关键词： CO2 comparative study dual-ejector internal heat exchanger multi-parameter optimization thermodynamic analysis

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Optimal Adaptive Robust Control for Uncertain Mechanical Systems: A Nash Game-Oriented Approach

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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2022年第7期24卷 3226-3243页

作者： Zheng, Yunjun Zhao, Han He, Chunsheng Wu, Qilin Hefei Univ Technol Sch Mech Engn Hefei 230009 Peoples R China Hefei Univ Sch Adv Mfg Engn Hefei 230601 Peoples R China

This paper investigates a novel Nash game-oriented optimal adaptive robust control with the fuzzy evidence theory to deal with the constraint-following control problem for the uncertain mechanical system. This paper's innovations are composed of three parts. First, the uncertainty is nonlinear and time-varying in practice with little knowledge about it but considered bounded. This paper provides a fuzzy evidence theory to describe the uncertainty within a fuzzy evidence number. Second, we design a new adaptive robust control with a leakage-type self-correcting adaptive law to render the constrained mechanical system to follow the specified constraints accurately. It is shown that the designed adaptive law can compensate for the uncertainty and avoid overcompensation. The control is deterministic other than IF-THEN fuzzy rule-based and guarantees uniform boundedness and uniform ultimate boundedness. Third, we introduce the Nash game theory into the multi-parameter optimization design to optimize the two tunable control parameters. We choose the two control parameters as two players with cost functions relevant to the control cost and performance. Then we obtain the optimal control parameters in Nash equilibrium which is proved to exist and can be analytically obtained. Ultimately, the numerical simulations on the 2DOF robot manipulator are presented to demonstrate the proposed control scheme's effectiveness.

关键词： System uncertainty Constraint following Fuzzy set theory Adaptive robust control multi-parameter optimization

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Comparative study on the globally optimal performance of cryogenic energy storage systems with different working media

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Energy Storage and Saving 2023年第2期2卷 421-434页

作者： Hongbo Tan Na Wen Boshi Shao Department of Refrigeration and Cryogenic Engineering School of Energy and Power EngineeringXi’an Jiaotong UniversityXi’an710049China

Cryogenic energy storage(CES)has garnered attention as a large-scale electric energy storage technology for the storage and regulation of intermittent renewable electric energy in power *** and argon can be found in the air,whereas methane is the primary component of natural gas,an important clean energy *** research on CES focuses on liquid air energy storage(LAES),with its typical round-trip efficiency(RTE)being approximately 50%(theoretical).This study aims to explore the feasibility of using different gases as working media in CES systems,and consequently,to achieve a high system efficiency by constructing four steady-state process models for the CES systems with air,nitrogen,argon,and methane as working media using Aspen HYSYS.A combined single-parameter analysis and multi-parameter global optimization method was used for system ***,a group of key independent variables were analysed carefully to determine their reasonable ranges to achieve the ideal system performance,that is,RTE and liquefaction ratio through a single-parameter ***,a multi-parameter genetic algorithm was adopted to globally optimize the CES systems with different working media,and the energy and exergy analyses were conducted for the CES systems under their optimal *** results indicated the high cycle efficiency of methane and a low irreversible loss in the liquefaction ***,the Joule-Thomson valve inlet temperature and charging and discharging pressures considerably affected the system ***,exergy loss in the CES system occurred primarily in the compressor,turbine,and liquefaction *** maximum optimal RTE of 55.84%was achieved in the liquid methane energy storage(LMES)***,the LMES system is expected to exhibit potential for application in the CES technology to realize the integration of natural gas pipelines with renewable power grids on a large ***,the results of st

关键词： Cryogenic energy storage Genetic algorithm Round-trip efficiency multi-parameter optimization Exergy efficiency Different liquefied working media

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Dynamic parameter optimization of High-Speed Pantograph Based on Swarm Intelligence and Machine Learning

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INTERNATIONAL JOURNAL OF APPLIED MECHANICS 2023年第9期15卷

作者： Zhou, Rui Xu, Xianghong Chinese Acad Sci Inst Mech State Key Lab Nonlinear Mech Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Engn Sci Beijing 100049 Peoples R China

Good pantograph-catenary interaction quality is a fundamental premise for ensuring stable and reliable current collection of high-speed trains, and the optimization of dynamic parameters of high-speed pantographs provides an effective approach to improve the current collection quality of the pantograph-catenary system. In this paper, with the objective of minimizing the standard deviation of the pantograph-catenary contact force, the multi-parameter joint optimization for pantograph at different filtering frequencies and running speeds was carried out by using swarm intelligence optimization algorithm and artificial neural network method. First, the selection operator in genetic algorithm (GA) was introduced into crow search algorithm (CSA), and the selective CSA was proposed, which can effectively improve the solution accuracy and convergence rate of multi-parameter optimization. Second, a radial basis function (RBF) neural network was used to construct a surrogate model of the standard deviation of contact force with respect to the running speed and pantograph dynamic parameters, and a method for optimizing the upper limit of mapping interval of the decision variables by the selective crow search algorithm (SCSA) was proposed, which effectively improves the generalization ability of the surrogate model. Finally, by combining the surrogate model and SCSA, optimization iterations for a total of 630 combined conditions such as cut-off frequency, running speed and pantograph dynamic parameters were conducted, and an optimization method for high-speed pantograph dynamic parameters with universal applicability was proposed.

关键词： Contact force of pantograph-catenary system selective crow search algorithm surrogate model multi-parameter optimization

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Application of particle swarm optimization to understand the mechanism of action of allosteric inhibitors of the enzyme HSD17β13

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PATTERNS 2023年第5期4卷 100733页

作者： Ford, Amy Breitgoff, Frauke Pasquini, Miriam MacKenzie, Amanda McElroy, Stuart Baker, Steve Abrusci, Patrizia Varzandeh, Simon Bird, Louise Gavard, Angeline Damerell, David Redhead, Martin Exscientia Schrodinger Bldg Oxford Sci Pk Oxford OX4 4GE England Bioascent BoNess Rd Chapelhall Motherwell ML1 5SH Scotland

Understanding a drug candidate's mechanism of action is crucial for its further development. However, ki-netic schemes are often complex and multi-parametric, especially for proteins in oligomerization equilibria. Here, we demonstrate the use of particle swarm optimization (PSO) as a method to select between different sets of parameters that are too far apart in the parameter space to be found by conventional approaches. PSO is based upon the swarming of birds: each bird in the flock assesses multiple landing spots while at the same time sharing that information with its neighbors. We applied this approach to the kinetics of HSD17(313 enzyme inhibitors, which displayed unusually large thermal shifts. Thermal shift data for HSD17(313 indicated that the inhibitor shifted the oligomerization equilibrium toward the dimeric state. Vali -dation of the PSO approach was provided by experimental mass photometry data. These results encourage further exploration of multi-parameter optimization algorithms as tools in drug discovery.

关键词： global analysis particle swarm optimization PSO fluorescence thermal shift assay FTSA multi-parameter optimization

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optimization of a Class of Dihydrobenzofurane Analogs toward Orally Efficacious YAP-TEAD Protein-Protein Interaction Inhibitors

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CHEMMEDCHEM 2023年第11期18卷 e202300051-e202300051页

作者： Sellner, Holger Chapeau, Emilie Furet, Pascal Voegtle, Markus Salem, Bahaa Le Douget, Mickael Bordas, Vincent Groell, Jean-Marc Le Goff, Anne-Laure Rouzet, Christine Wietlisbach, Thomas Zimmermann, Thomas McKenna, Joseph Brocklehurst, Cara E. E. Chene, Patrick Wartmann, Markus Scheufler, Clemens Kallen, Joerg Williams, Gareth Harlfinger, Stephanie Traebert, Martin Dumotier, Berengere M. Schmelzle, Tobias Soldermann, Nicolas Novartis Inst Biomed Res Global Discovery Chem CH-4002 Basel Switzerland Novartis Inst Biomed Res Oncol Drug Discovery CH-4002 Basel Switzerland Novartis Inst Biomed Res Chem Biol & Therapeut CH-4002 Basel Switzerland Novartis Inst Biomed Res Pharmacokinet Sci CH-4002 Basel Switzerland Novartis Inst Biomed Res Preclin Safety CH-4002 Basel Switzerland

The inhibition of the YAP-TEAD protein-protein interaction constitutes a promising therapeutic approach for the treatment of cancers linked to the dysregulation of the Hippo signaling pathway. The identification of a class of small molecules which potently inhibit the YAP-TEAD interaction by binding tightly to the O-loop pocket of TEAD has previously been communicated. This report details the further multi-parameter optimization of this class of compounds resulting in advanced analogs combining nanomolar cellular potency with a balanced ADME and off-target profile, and efficacy of these compounds in tumor bearing mice is demonstrated for the first time.

关键词： TEAD YAP PPI inhibitors multi-parameter optimization in vivo efficacy

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multi-objective tailored optimization deciphering carbon partitioning and metabolomic tuning in response to elevated CO2 levels, organic carbon and sparging period

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ENVIRONMENTAL RESEARCH 2022年第PartB期204卷 112137-112137页

作者： Ghosh, Atreyee Samadhiya, Kanchan Kiran, Bala Indian Inst Technol Indore Dept Biosci & Biomed Engn Indore 453552 India

Microalgae have garnered much contemplation as candidates to fix CO2 into valuable compounds. Although microalgae have been studied to produce various metabolites, they have not yet proved successful for commercialization. Since, handling such problems practically requires satisfying multiple parameters simultaneously, we put forth a multi-parameter optimization strategy to manipulate the carbon metabolism of Scenedesmus sp. to improve biomass production and enhance CO2 fixation to increase the production of fuel-related metabolites. The Box-Behnken design method was applied with CO2 concentration, CO2 sparging time and glucose concentration as independent variables;biomass and total fatty acid methyl ester (total FAME) content were analyzed as response variables. The strain is supplemented with both CO2 and glucose with an aim to enhance carbon flux and rechannel it towards carbon fixation. As per the results obtained in this study, Scenedesmus sp. could effectively exploit high CO2 concentration (15%) for longer duration under high concentration of glucose supplementation (9 g/L) producing a biomass of 635.24 +/- 39.9 mu g/mL with a high total fatty acid methyl ester (FAME) content of 71.29 +/- 4.2 mu g/mg, significant acetyl-CoA carboxylase enzyme activity and a favorable fatty acid profile: 35.8% palmitic acid, 10.5% linoleic acid and 30.6% linolenic acid. The carbohydrate content was maximum at 10% CO2 sparged for the longest duration of 90 min under glucose concentration of 9 g/L. This study puts forth an optimal design that can provide evidence on comprehending the carbon assimilation mechanism to enhance production of biomass and biofuels and provide conditions to microalgal species to tolerate CO2 rich flue gas.

关键词： Response surface methodology multi-parameter optimization Carbon assimilation Metabolic analysis Quantum efficiency FAME profile

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SUMO: In Silico Sequence Assessment Using multiple optimization parameters

SUMO: In Silico Sequence Assessment Using Multiple Optimizat...

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作者： Andreas Evers Shipra Malhotra Wolf-Guido Bolick Ahmad Najafian Maria Borisovska Shira Warszawski Yves Fomekong Nanfack Daniel Kuhn Friedrich Rippmann Alejandro Crespo Vanita Sood

To select the most promising screening hits from antibody and VHH display campaigns for subsequent in-depth profiling and optimization, it is highly desirable to assess and select sequences on properties beyond only their binding signals from the sorting process. In addition, developability risk criteria, sequence diversity, and the anticipated complexity for sequence optimization are relevant attributes for hit selection and optimization. Here, we describe an approach for the in silico developability assessment of antibody and VHH sequences. This method not only allows for ranking and filtering multiple sequences with regard to their predicted developability properties and diversity, but also visualizes relevant sequence and structural features of potentially problematic regions and thereby provides rationales and starting points for multi-parameter sequence *** select the most promising screening hits from antibody and VHH display campaigns for subsequent in-depth profiling and optimization, it is highly desirable to assess and select sequences on properties beyond only their binding signals from the sorting process. In addition, developability risk criteria, sequence diversity, and the anticipated complexity for sequence optimization are relevant attributes for hit selection and optimization. Here, we describe an approach for the in silico developability assessment of antibody and VHH sequences. This method not only allows for ranking and filtering multiple sequences with regard to their predicted developability properties and diversity, but also visualizes relevant sequence and structural features of potentially problematic regions and thereby provides rationales and starting points for multi-parameter sequence optimization.

关键词： Protein Engineering Sequence Annotation Sequence Clustering Python Homo sapiens Antibody Immunogenicity Humanization Developability multi-parameter optimization VHH variable domain of the heavy chain of heavy chain-only antibodies In silico sequence assessment

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Calibration of Hybrid-Maize Model for Simulation of Soil Moisture and Yield in Production Corn Fields

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WATER 2024年第5期16卷 788页

作者： Amori, Anthony A. Abimbola, Olufemi P. Franz, Trenton E. Rudnick, Daran Iqbal, Javed Yang, Haishun Univ Nebraska Lincoln Dept Agron & Hort Lincoln NE 68583 USA Univ Nebraska Lincoln Sch Nat Resources 101 Hardin Hall3310 Holdrege St Lincoln NE 68583 USA Univ Nebraska Lincoln Dept Biol Syst Engn 223 L W Chase Hall Lincoln NE 68583 USA

Model calibration is essential for acceptable model performance and applications. The Hybrid-Maize model, developed at the University of Nebraska-Lincoln, is a process-based crop simulation model that simulates maize growth as a function of crop and field management and environmental conditions. In this study, we calibrated and validated the Hybrid-Maize model using soil moisture and yield data from eight commercial production fields in two years. We used a new method for the calibration and multi-parameter optimization (MPO) based on kriging with modified criteria for selecting the parameter combinations. The soil moisture-related parameter combination (SM-PC3) improved simulations of soil water dynamics, but improvement in model performance is still required. The grain yield-related parameter combination significantly improved the yield simulation. We concluded that the calibrated model is good enough for irrigation water management at the field scale. Future studies should focus on improving the model performance in simulating total soil water (TSW) dynamics at different soil depths by including more soil water processes in a more dynamic manner.

关键词： crop modeling crop yield soil moisture Hybrid-Maize multi-parameter optimization

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Design of Scanning Units for the Underwater Circumferential-Scanning LiDAR Based on Pyramidal-Shaped Reflectors and a Rapid Detection Method for Target Orientation

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REMOTE SENSING 2024年第12期16卷 2131页

作者： Zha, Bingting Xu, Guangbo Chen, Zhuo Tan, Yayun Qin, Jianxin Zhang, He Nanjing Univ Sci & Technol Minist Key Lab ZNDY Nanjing 210094 Peoples R China Sci & Technol Electromech Dynam Control Lab Beijing 100081 Peoples R China 28th Res Inst China Elect Technol Grp Corp Navy Dept Nanjing 210094 Peoples R China

Challenges have been observed in the traditional circumferential-scanning LiDAR underwater to balance between the detection range and the sealing performance. To tackle these challenges, a new scanning unit is presented in this paper, employing a pyramidal-shaped reflector for enhanced performance. Furthermore, an innovative magneto-electric detection module comprising Hall switches and magnetic rings is introduced. It can facilitate the accurate identification of the reflector's edge, thereby enhancing the precision of the target-orientation detection. A rapid target orientation coding method based on split-frequency clocks is proposed on FPGAs. It can output the target's initial and termination orientation codes immediately after capturing it, exhibiting a significantly low output delay of 20 ns and a high detection resolution of 15 degrees. Finally, a prototype is fabricated to validate the design in this paper. The experimental results demonstrate that the scanning unit enables reliable scanning and orientation recognition of the target. In addition, it is trustworthy in receiving echo signals when the laser passes through glass and then an aqueous medium.

关键词： LiDAR pyramidal reflector multi-parameter optimization orientation identification

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