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Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideWe compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBPCase studies of optimal operation computed using a planning model that is based on the swing cut+ biasCDU model and using a planning model that incorporates the hybrid CDU model are presented.

Keywords： impact of model accuracy on production planning     swing cut+ bias CDU model     hybrid CDU model     refinery feedstock    

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Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 764-769 doi: 10.1007/s11708-016-0449-z

Abstract: In this paper, a novel swing vane rotary compressor (SVC) was introduced, which had significant advantages—simpleBased on the swing vane compressor geometry model, thermodynamic model and kinetic model, the mathematicalmodel of optimum design was established, and further theoretical and experimental studies were conductedThe complex optimization method was adopted to study the structure of the swing vane compressor.The theoretical model could provide an effective method for predicting compressor performance, which

Keywords： swing vane compressor     simulation     optimization design    

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Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 19-32 doi: 10.1007/s11465-009-0082-1

Abstract: An experimental study of the depth of cut in multipass abrasive waterjet (AWJ) cutting of alumina ceramicsIt is found that this cutting technique can significantly increase the depth of cut by an average ofPredictive models for the depth of cut are then developed.It is shown that the model predictions are in good agreement with the experimental data with the average

Keywords： abrasive waterjet     engineering ceramics     depth of cut     cutting performance     nozzle oscillation     machining    

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Modeling of a Piston Driven, Pressure Swing Reactor

Hu Ming,Zhou Xinggui,Gu Zheng,Yuan Weikang

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 52-57

Abstract:

A model for piston driven, rapid pressure swing reactor is developed.

Keywords： piston driven pressure swing reactor     pressure swing     multifunctional reactor     dynamic simulation    

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A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 497-510 doi: 10.1631/FITEE.1400349

Abstract: The bias drift of a micro-electro-mechanical systems (MEMS) accelerometer suffers from the 1/ noiseFor massive applications, the bias drift urgently needs to be improved.this paper, a combined approach on closed-loop architecture modification is proposed to minimize the biasWith the combined approach, the bias instability is improved to less than 13 μ , and the drift of the

Keywords： Bias drift     Closed-loop MEMS accelerometer     Modulated feedback approach     Temperature compensation    

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Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 146-149 doi: 10.1007/s11465-013-0260-z

Abstract:

To predict more precisely the frequency of force-balanced micro accelerometer with different biasvoltages, the effects of bias voltages on error sensitivity of frequency is studied.the theoretical results, micro accelerometer is fabricated and tested to study the influences of AC biasvoltage and DC bias voltage on sensitivity, respectively.error can be used to predict the frequency of accelerometer with no need to consider the influence of bias

Keywords： Micro-Electro-Mechanical Systems (MEMS)     micro accelerometer     force-balanced micro accelerometer     frequency     error sensitivity    

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liquid addition attained advanced nitrogen removal in low C/N ratio municipal wastewater through short-cut

Shengjie Qiu, Jinjin Liu, Liang Zhang, Qiong Zhang, Yongzhen Peng

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1318-x

Abstract: Stable short-cut nitrification was achieved after 46d and then anammox sludge was inoculated.

Keywords： Sludge fermentation liquid     Municipal wastewater     Advanced nitrogen removal     Short-cut nitrification     Partial    

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Pressure swing adsorption/membrane hybrid processes for hydrogen purification with a high recovery

Baojun Li,Gaohong He,Xiaobin Jiang,Yan Dai,Xuehua Ruan

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 2,   Pages 255-264 doi: 10.1007/s11705-016-1567-1

Abstract: and purified from coal gasification-produced syngas using two kinds of hybrid processes: a pressure swing

Keywords： hydrogen purification     PSA     membrane separation     hybrid process    

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Performance analysis of two EM-based measurement bias estimation processes for tracking systems None

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1151-1165 doi: 10.1631/FITEE.1800214

Abstract: To accurately estimate the target trajectory, it is essential that the measurement bias be identifiedWe investigate the iterative bias estimation process based on the expectation-maximization (EM) algorithmwhich is formulated as a random variable in one state-space model and a constant value in another.It is found that the bias estimate in the second state-space model is more accurate and of less complexityFurthermore, the EM-based iterative estimation converges faster in the second state-space model than

Keywords： Non-linear state-space model     Measurement bias     Extended Kalman filter     Extended Kalman smoothing     Expectation-maximization    

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A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0866-6

Abstract: The method provides estimates of bias in modeled concentrations.These compounds constitute the majority of PM mass, and reducing bias in estimated concentrations hasThe bias correction adjusts concentrations and source impacts based on the difference between modeledto determine the performance of the spatial application of the bias correction.The methods presented here address model uncertainties by improving simulated concentrations and source

Keywords： Particulate matter     Source apportionment     Secondary particulate matter     Chemical transport modeling     Receptor modeling    

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Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 221-238 doi: 10.1007/s42524-019-0026-3

Abstract: Understanding of the constitution of client involved decisions is important for future improvements of the processes. Significant decisions in construction projects are reliant on heuristic processes where assumptions are developed from past experience. The paper presents a methodology to collect empirical data in an unstructured manner utilizing participant intuition and experience regarding project level collaboration, a term easily understood by practitioners. Empirical data collected from 6 focus group discussions in Norway and 18 individual interviews in Finland is associated with biases in decision making aimed at bridging the gap of understanding and literature’s insufficient coverage. An analytic framework was developed to suit the diverse emergence of concepts to allow application of psychological principles in a structured manner to empirical data. The paper contributes by identifying types of cognitive and motivational biases in client involved decisions. The biases are found to be alleviated by one another depending on the particular application of the decision. Findings suggest that normative beliefs exist developed from past experience and habitual thinking. A number of emerged biases in this domain are alleviated from normative beliefs which are discussed in this paper.

Keywords： collaboration     construction industry     social science     decision-making     client     cognitive bias     motivationalbias     holistic analysis     human factor    

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Bioenergy recovery from landfill gas: A case study in China

Wei WANG, Yuxiang LUO, Zhou DENG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 1,   Pages 20-31 doi: 10.1007/s11783-009-0012-9

Abstract: Pressure swing adsorption technology was used in LFG purification, and laboratory experiment, pilot-scale

Keywords： landfill gas (LFG)     compressed purified landfill gas (CPLG)     pressure swing adsorption (PSA)     alternative    

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Study on Bias Coal Combustion Technologies with Air-surrounding-fuel

Qin Yukun,Li Zhengqi,Sun Rui,Chen Lizhe,Sun Shaozeng,Zhu Qunyi,Li Ruiyang,Gao Jihui,Wu Shaohua

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 42-49

Abstract: analyses the major findings of research during the last 15 years in Harbin Institute of Technology, on biasThe theory and characteristics of air-surrounding-fuel flow of bias coal combustion technologies are

Keywords： boiler     burner     bias combustion     NOx    

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PSS sorbents for removing trace hydrogen sulfide in methane

Limei ZHONG, Li ZHOU

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 3,   Pages 339-342 doi: 10.1007/s11705-010-0569-7

Abstract: Sorbents of the pressure swing sorption process (PSS) to remove trace amount of H S (190 ppm) contained

Keywords： pressure swing sorption     H2S     methane     carrier     absorbent    

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Study on the Nonlinear Characteristics of Cutting Forces in High-speed Face-milling of Difficult-to-cut

Long Zhenhai,Wang Xibin,Wang Haochen

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 28-31

Abstract: study shows that in high speed milling of Martensitic stainless process, the interaction of depth of cutper tooth has significant effect on the cutting force; the interaction of feed per tooth and depth of cut

Keywords： difficult-to-cut materials     high speed machining     factorials design     Meyer wavelet transform     Mallat algorithm    

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Title Author Date Type Operation

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Journal Article

Structural optimal design of a swing vane compressor

Junjie MA,Xiang CHEN,Zongchang QU

Journal Article

Depth of cut models for multipass abrasive waterjet cutting of alumina ceramics with nozzle oscillation

Jun WANG

Journal Article

Modeling of a Piston Driven, Pressure Swing Reactor

Hu Ming,Zhou Xinggui,Gu Zheng,Yuan Weikang

Journal Article

A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Journal Article

Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Journal Article

liquid addition attained advanced nitrogen removal in low C/N ratio municipal wastewater through short-cut

Shengjie Qiu, Jinjin Liu, Liang Zhang, Qiong Zhang, Yongzhen Peng

Journal Article

Pressure swing adsorption/membrane hybrid processes for hydrogen purification with a high recovery

Baojun Li,Gaohong He,Xiaobin Jiang,Yan Dai,Xuehua Ruan

Journal Article

Performance analysis of two EM-based measurement bias estimation processes for tracking systems

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Journal Article

A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Journal Article

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Journal Article

Bioenergy recovery from landfill gas: A case study in China

Wei WANG, Yuxiang LUO, Zhou DENG

Journal Article

Study on Bias Coal Combustion Technologies with Air-surrounding-fuel

Qin Yukun,Li Zhengqi,Sun Rui,Chen Lizhe,Sun Shaozeng,Zhu Qunyi,Li Ruiyang,Gao Jihui,Wu Shaohua

Journal Article

PSS sorbents for removing trace hydrogen sulfide in methane

Limei ZHONG, Li ZHOU

Journal Article

Study on the Nonlinear Characteristics of Cutting Forces in High-speed Face-milling of Difficult-to-cut

Long Zhenhai,Wang Xibin,Wang Haochen

Journal Article