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Data-driven Wasserstein distributionally robust chance-constrained optimization for crude oil scheduling under uncertainty

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Chinese Journal of Chemical engineering 2024年第5期69卷 152-166页

作者： Xin Dai Liang Zhao Renchu He Wenli Du Weimin Zhong Zhi Li Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Crude oil scheduling optimization is an effective method to enhance the economic benefits of oil *** uncertainties,including uncertain demands of crude distillation units(CDUs),might make the production plans made by the traditional deterministic optimization models infeasible.A data-driven Wasserstein distributionally robust chance-constrained(WDRCC)optimization approach is proposed in this paper to deal with demand uncertainty in crude oil ***,a new deterministic crude oil scheduling optimization model is developed as the basis of this *** Wasserstein distance is then used to build ambiguity sets from historical data to describe the possible realizations of probability distributions of uncertain demands.A cross-validation method is advanced to choose suitable radii for these ambiguity *** deterministic model is reformulated as a WDRCC optimization model for crude oil scheduling to guarantee the demand constraints hold with a desired high probability even in the worst situation in ambiguity *** proposed WDRCC model is transferred into an equivalent conditional value-at-risk representation and further derived as a mixed-integer nonlinear programming *** case studies from a real-world refinery are conducted to show the effectiveness of the proposed ***-of-sample tests demonstrate that the solution of the WDRCC model is more robust than those of the deterministic model and the chance-constrained model.

关键词： Distributions Model Optimization Crude oil scheduling Wasserstein distance Distributionally robust chance constraints

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Rare earth metal based DES assisted the VPO synthesis for n-butane selective oxidation toward maleic anhydride

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Green Energy & Environment 2023年第6期8卷 1737-1752页

作者： Muhammad Faizan Yingwei Li Xingsheng Wang Piao Song Ruirui Zhang Ruixia Liu Beijing Key Laboratory of Ionic Liquids Clean Process CAS Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemInstitute of Process Engineering Chinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China Zhengzhou Institute of Emerging Industrial Technology Zhengzhou450000China

Deep eutectic solvents(DESs) are now considered a new class of ionic liquid analogs that have been generously used in various ***, vanadium phosphorus oxide(VPO) catalysts are synthesized in combination with a deep eutectic solvent containing rare earth metal(rE-DES), and their catalytic performance in n-butane selective oxidation to produce maleic anhydride(MA) is evaluated. The rE-DES is produced from the interaction of choline chloride(ChCl) and rare earth metal salts(Cerium, Europium, Lanthanum, and Samarium metal salt)(ChCl:rE = 1:0.5–1:3) under mild conditions. It was found that DESs served as structural modifiers and electronic promoters during VPO synthesis. It regulated the chemical state of the catalyst surface, such as the vanadium valence state, acid-base properties, and ratios of V^(4+)/V^(5+),Lat–O/Sur–O and P/V. Various characterization techniques, such as FT-IR, DSC, XRD, SEM, EDS, TEM, Raman, TGA, NH3-TPD, and XPS,were used to examine its physical and chemical characteristics. These characteristics were correlated with the catalytic performance. The VPO catalyst modified by rE-DES showed a significant enhancement of n-butane conversion and MA selectivity while suppressing the selectivity of CO and CO_(2)as well as the CO/CO_(2)ratio compared to the unpromoted VPO catalyst. Especially for Ce-DES-VPO, it increased the n-butane conversion and MA mass yield up to approximately 11% and 10%, respectively. In addition, we evaluated the catalytic performance under different activation atmospheres.

关键词： earth anhydride vanadium

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Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline blending process

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Chinese Journal of Chemical engineering 2023年第9期61卷 43-57页

作者： Jian Long Kai Deng Renchu He Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghaiChina Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Gasoline blending scheduling optimization can bring significant economic and efficient benefits to ***,the optimization model is complex and difficult to build,which is a typical mixed integer nonlinear programming(MINLP)*** the large scale of the MINLP model,in order to improve the efficiency of the solution,the mixed integer linear programming-nonlinear programming(MILP-NLP)strategy is used to solve the *** paper uses the linear blending rules plus the blending effect correction to build the gasoline blending model,and a relaxed MILP model is constructed on this *** particle swarm optimization algorithm with niche technology(NPSO)is proposed to optimize the solution,and the high-precision soft-sensor method is used to calculate the deviation of gasoline attributes,the blending effect is dynamically corrected to ensure the accuracy of the blending effect and optimization results,thus forming a prediction-verification-reprediction closed-loop scheduling optimization strategy suitable for engineering *** optimization result of the MILP model provides a good initial *** fixing the integer variables to the MILPoptimal value,the approximate MINLP optimal solution can be obtained through a NLP *** above solution strategy has been successfully applied to the actual gasoline production case of a refinery(3.5 million tons per year),and the results show that the strategy is effective and *** optimization results based on the closed-loop scheduling optimization strategy have higher *** with the standard particle swarm optimization algorithm,NPSO algorithm improves the optimization ability and efficiency to a certain extent,effectively reduces the blending cost while ensuring the convergence speed.

关键词： Blend Optimization algorithm Neural networks Particle swarm optimization Mixed integer programming

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A comparative techno-economic analysis for implementation of carbon dioxide to chemicals processes

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Chinese Journal of Chemical engineering 2024年第11期75卷 86-101页

作者： Zhun Li Jinyang Zhao Ping Li Yadong Yu Chenxi Cao State Key Laboratory of Chemical Engineering East China University of Science and TechnologyShanghai 200237China School of Business East China University of Science and TechnologyShanghai 200237China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

CO_(2)-based carbon-neutral organics production processes could potentially reshape the chemical ***,their feasibility and net carbon footprint rely strongly on the sources of H_(2).Herein,we present a comprehensive comparative techno-economic analysis of CO_(2)-based methanol(CO_(2)TM)and aolefins(CO_(2)TO)manufacturing using various feedstock supply modes:(1)the standalone mode with external CO_(2)but H_(2)from on-site water electrolysis,(2)the integrated mode with both CO_(2)and H_(2)recovered from coal-chemical plants,and(3)the integrated mode with recycled CO_(2)but H_(2)from on-site water *** integration of CO_(2)TM and CO_(2)TO into coal-to-olefins(CTO)and coal-to-methanol(CTM)facilities is currently cost-effective and can reduce net CO_(2)emissions by 65.7%and 68.5%,resulting in a three-fold and two-fold increase in carbon efficiency,*** carbon tax policies and electrolysis technologies continue to evolve,standalone CO_(2)TM and CO_(2)TO are projected to become more economically competitive than CTO and CTM by 2035-2045.

关键词： CO_(2) hydrogenation a-Olefins Methanol Techno-economic analysis Power to chemicals

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Progress of vanadium phosphorous oxide catalyst for n-butane selective oxidation

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Chinese Journal of Chemical engineering 2022年第3期35卷 297-315页

作者： Muhammad Faizan Yingwei Li Ruirui Zhang Xingsheng Wang Piao Song Ruixia Liu Beijing Key Laboratory of Ionic Liquids Clean Process State Key Laboratory of Multiphase Complex SystemInstitute of Process Engineering Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

The utilization of lighter alkanes into useful chemical products is essential for modern chemistry and reducing the CO_(2)***,n-butane has gained special attention across the globe due to the abundant production of maleic anhydride(MA).Vanadium phosphorous oxide(VPO)is the most effective catalyst for selective oxidation of n-butane to MA so ***,the VPO complex exists in more or less fifteen different structures,each one having distinct phase composition and exclusive surface morphology and physiochemical properties such as valence state,lattice oxygen,acidity etc.,which relies on precursor preparation method and the activation conditions of *** catalytic performance of VPO catalyst is improved by adding different promoters or co-catalyst such as various metals dopants,or either introducing template or structural-directing ***,new preparation strategies such as electrospinning,ball milling,hydrothermal,barothermal,ultrasound,microwave irradiation,calcination,sol-gel method and solvothermal synthesis are also employed for introducing improvement in catalytic *** in above-mentioned different aspects will be ascribed in current review in addition to summarizing overall catalysis activity and final *** analyze the performance of the catalytic precursor,the reaction mechanism and reaction kinetics both are discussed in this review to help clarify the key issues such as strong exothermic reaction,phosphorus supplement,water supplement,deactivation,and air/n-butane pretreatment *** to the various industrial applications of VPO.

关键词： N-butane selective oxidation Oxidation of light alkanes Vanadium phosphorus oxide(VPO) Maleic anhydride

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

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Frontiers of Chemical Science and engineering 2023年第6期17卷 759-771页

作者： Jiannan Zhu Vladimir Mahalec Chen Fan Minglei Yang Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Department of Chemical Engineering McMaster UniversityHamiltonOntario L8S 4L8Canada Engineering Research Center of Process System Engineering Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

This work introduces a deep-learning network,i.e.,multi-input self-organizing-map ResNet(MISR),for modeling refining units comprised of two reactors and a separation *** model is comprised of self-organizing-map and the neural network *** self-organizing-map part maps the input data into multiple two-dimensional planes and sends them to the neural network *** the neural network part,residual blocks enhance the convergence and accuracy,ensuring that the structure will not be overfitted *** of the MISR model of hydrocracking unit also benefits from the utilization of prior knowledge of the importance of the input variables for predicting properties of the *** results show that the proposed MISR structure predicts more accurately the product yields and properties than the previously introduced self-organizing-map convolutional neural network model,thus leading to more accurate optimization of the hydrocracker ***,the MISR model has smoother error convergence than the previous *** operating conditions have been determined via multi-round-particle-swarm and differential evolution *** experiments show that the MISR model is suitable for modeling nonlinear conversion units which are often encountered in refining and petrochemical plants.

关键词： hydrocracking convolutional neural networks self-organizing map deep learning data-driven optimization

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Research on the bubble collapse behaviors near dual cylinders within confined spaces

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Journal of Hydrodynamics 2024年第6期36卷 1021-1032页

作者： Shao-wu Ma Jun-wei Shen Jia-ze Ying Shu-rui Zhang Yu-ning Zhang Yu-ning Zhang Key Laboratory of Power Station Energy Transfer Conversion and System(Ministry of Education) School of Energy Power and Mechanical EngineeringNorth China Electric Power UniversityBeijing102206China College of Mechanical and Transportation Engineering China University of Petroleum-BeijingBeijing102249China Beijing Key Laboratory of Process Fluid Filtration and Separation China University of Petroleum-BeijingBeijing102249China

This paper investigates the bubble collapse characteristics near dual cylinders within confined ***,the impacts on the bubble morphology,with respect to the bubble positions and the cylinder spacings,are explored using high-speed photography ***,based on the circle theorem,the liquid velocity field is qualitatively analyzed and compared with the experimental bubble interface ***,employing the Kelvin impulse theory,an analysis of the variation in Kelvin impulse at various cylinder spacings is conducted,which shows good consistency with the bubble centroid *** main conclusions are summarized as follows:(1)High-velocity regions are observed on both sides of the ***-velocity regions are observed between the bubble and *** the cylinder spacing and the bubble abscissa increase,the liquid velocity in the high-velocity regions decreases,and the low-velocity regions expands.(2)The characteristics of the bubble cross-sectional roundness,interface displacement,and cross-sectional area are significantly affected by the cylinder spacing and the bubble abscissa.(3)As the bubble abscissa increases,the Kelvin impulse intensity initially rises rapidly and subsequently declines gradually to a fixed *** the cylinder spacings increases,the Kelvin impulse intensity decreases.

关键词： Cavitation bubble dynamics dual cylinders confined spaces Kelvin impulse high-speed photography

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A Novel Cooperative Co-Evolutionary Framework for Large-Scale Overlapping Problems

A Novel Cooperative Co-Evolutionary Framework for Large-Scal...

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2023 IEEE Congress on Evolutionary Computation, CEC 2023

作者： Chen, Mingke Du, Wei Ministry of Education East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Engineering Research Center of Process System Engineering Shanghai China

ISBN: (纸本)9798350314588

Large-scale overlapping problems are a type of challenging problems because of the special structure of the shared variables. In order to solve the large-scale overlapping problems effectively, the paper proposes a novel cooperative co-evolutionary framework for large-scale overlapping problems called the cooperative co-evolution algorithm with subgroup merging and resource allocation for overlapping problems (CCMRO). In CCMRO, a contribution-based subcomponent merging strategy is proposed to deal with the decomposition of the large-scale overlapping problem and reduce the interaction of subgroups. In addition, a new computational resource allocation strategy (CCRO) is designed to maintain a balance between the full allocation of computational resources and the stability of search speed. Finally, the effectiveness of the proposed CCMRO is verified by the large-scale overlapping benchmark functions. © 2023 IEEE.

关键词： Resource allocation

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Depositing the PtNi nanoparticles on niobium oxide to enhance the activity and CO-tolerance for alkaline methanol electrooxidation

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Chinese Journal of Structural Chemistry 2023年第11期42卷 25-31页

作者： Xinyi Hu Riguang Zhang Zhao Jiang Department of Chemical Engineering Shaanxi Key Laboratory of Energy Chemical Process IntensificationEngineering Research Center of New Energy System Engineering and Equipment Xi'an Jiaotong UniversityXi'an710049China State Key Laboratory of Clean and Efficient Coal Utilization Taiyuan University of TechnologyTaiyuan030000China

Direct methanol fuel cells have the advantages of simple system,convenient operation,high conversion rate and low carbon emission,which are considered as the environmental and friendly energy conversion ***-ever,the low activity,CO-tolerance and high cost of anode catalysts restrict the large-scale commercial ***,it is of great practical significance to design and construct the anodic catalysts with high activity,stability and low cost for methanol oxidation *** this work,the PtM/Nb_(2)O_(5)-C(M=Co,Sn,Ni)catalysts are synthesized by the ethylene glycol solvothermal method using transition metal oxide Nb_(2)O_(5)as the *** catalytic performance of different catalysts is further evaluated for alkaline *** results show that the introduction of Ni(existing in Ni^(2+)and Ni^(3+))has the most obvious improvement for alkaline MOR *** adjusting the doped ratio of Pt:Ni,it is shown that PtNi/Nb_(2)O_(5)-C has the highest mass activity(3877.9 mA-mg_(pt)^(-1)),12 times that of the commercial Pt/C ***,LSV,Tafel and EIS analyses show that PtNi/Nb_(2)O_(5)-C has the lowest onset potential and charge transfer resistance,and the fastest electrocatalytic oxidation rate of *** tests show that the electrochemical stability is also significantly improved with the introduction of Nb_(2)O_(5)and *** with the structural characterization and electrochemical tests,it is found that the evident electronic effect among Pt and Ni,Nb_(2)O_(5)and the hydroxyl brought from Ni species are mainly ascribed for enhancing the activity,CO resistance and stability of PtNi/Nb_(2)O_(5)-C.

关键词： Direct methanol fuel cell Niobium oxide Platinum-based catalysts Methanol oxidation reaction

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Sensitivity Analysis on Absorber Column as Hydrogen Gas Purification Unit Using Aspen Plus 4th

Sensitivity Analysis on Absorber Column as Hydrogen Gas Puri...

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4th International Conference on Advances in Computational Science and engineering, ICACSE 2023

作者： Sutikno, Juwari Purwo Hamid, Mahar Diana Tamimi, Fa’izul Qholbi Roostewen, Kelben Anugraha, Rendra Panca Handogo, Renanto Process System Engineering Laboratory Department of Chemical Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia Department of Chemical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9789819729760

The absorption process involves transferring molecules from the gas phase to the liquid phase. In this study, an absorption column was utilised to separate acid gas from the byproduct of hydrogen gas using NaOH solvent. However, an issue related to fluctuating pH in the bottom product was encountered, which affected the quality of absorption in the column. One of the objectives of this study was to determine the effects of NaOH mass fraction in the solvent on the pH and the amount of acid gas absorbed in the column's bottom product. The process was simulated using ASPEN PLUS, and the sensitivity analysis indicated that changes in pressure and solvent mass flow rate directly affect absorption quality. In contrast, changes in solvent temperature have an inverse effect on absorption quality. Additionally, the mass fraction of NaOH in the solvent is directly proportionate to the absorption quality and pH value of the bottom product, showing high sensitivity to the pH value. When adjusting the NaOH fraction in the solvent within the range of 2–5%, the pH of the bottom product fluctuates from pH 0.9 to 12.2. The study illustrated the effects of variables on process operation parameters. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Sensitivity analysis

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