The Experts below are selected from a list of 2115 Experts worldwide ranked by ideXlab platform

A. Jutan - One of the best experts on this subject based on the ideXlab platform.

Jin Yuqua - One of the best experts on this subject based on the ideXlab platform.

  • Purification of toluene contained waste gas by static Pressure Tank cross-flow bio-trickling filter
    Environmental Pollution & Control, 2011
    Co-Authors: Jin Yuqua
    Abstract:

    The static Pressure Tank cross-flow bio-trickling filter was designed on the principle of static Pressure Tank.A static Pressure area was designed near the inlet of filter to improve the airflow distribution uniformity.The dynamic Pressure of gas dropped as it flowed into the static Pressure area so the gas was even distributed in filter.The waste gas purification by static Pressure Tank cross-flow bio-trickling filter was performed with toluene as target pollutant,ceramsite as packing material and Pseudomonas putida as degrading bacteria.The stat-up process of the bio-trickling filter was studied;the effects of inlet toluene concentration and residence time on removal capacity under stable operation stage were investigated;the reason of Pressure drop rising in the filter was analyzed and the solutions were provided.

Jinyang Zheng - One of the best experts on this subject based on the ideXlab platform.

  • optimization of compressed hydrogen gas cycling test system based on multi stage storage and self pressurized method
    International Journal of Hydrogen Energy, 2016
    Co-Authors: Jinxing Guo, Lijing Xing, Zhengli Hua, Chaohua Gu, Jinyang Zheng
    Abstract:

    Abstract Hydrogen gas cycling test can provides stress factors associated with rapid and simultaneous interior Pressure and temperature swings and infusion of hydrogen into materials; therefore, it is considered as an effective method to detect the safety of the compressed hydrogen storage system. However, the energy consumption of gas cycling test is high. In order to reduce energy consumption, an optimization gas cycling test system was designed based on multi-stage storage and self-pressurized method in this paper. A dynamic simulation model which considers the process of refueling, Pressure control, pre-cooling and discharging was also established to calculate the energy consumption. Using the model, the energy consumption of different system with different storage stages, different Pressure, and different volumes was calculated. The results show that with the increase of gas storage stages, total energy consumption of the system decreases, but taking into account the complexity of the system, the stages should be less than three; In the range of 20–50 MPa and 1–4 m3, lower Pressure and smaller volume of low Pressure Tank can not only reduce the gas the construction cost, but also reduce the energy consumption; In the range of 45–60 MPa and 1–3 m3, the effect of medium Pressure Tank on the energy consumption is not significant. This study provides a new optimization design method for compressed hydrogen cycling test system, has an important significance in development of high Pressure hydrogen gas cycling test.

Arthur Jutan - One of the best experts on this subject based on the ideXlab platform.

  • Experimental investigation of subspace identification and LQ control of a Pressure Tank.
    ISA transactions, 2002
    Co-Authors: Qiang Xiong, Aiping Jiang, Arthur Jutan
    Abstract:

    Many control studies of complex processes are limited to simulation studies. However, many real processes exhibit peculiarities and nonlinearities that are difficult to model. Also some control designs are difficult to implement online in practice. Because of the recent availability of economical real time software, more complex control algorithms will see real time testing and implementation. In spite of this, many compromises are often necessary when the final control is implemented. This paper follows the identification (using subspace methods) and real time linear quadratic control of a Pressure Tank system and points to some of the compromises in identification and control design that are often necessary. A multivariate control is implemented on a Pressure Tank process with rather good results in spite of these compromises.

  • Adaptive control of a Pressure Tank system with saturation nonlinearities
    Journal of Applied Computer Science, 2001
    Co-Authors: Arthur Jutan, Vladimir B. Bajic
    Abstract:

    The paper presents the design of a new nonlinear real-time adaptive control algorithm which is suitable the systems with saturation nonlinearity at the input. The linear part of the system can be non-minimum phase and/or unstable. The control algorithm is of the self-tuning type. The algorithm utilizes an auxiliary control parameter that can be chosen on-line to keep the controller output in the linear zone of the saturation nonlinearity. Stability of the algorithm is discussed. Several simulation experiments are performed to demonstrate effectiveness of the algorithm. Finally, the algorithm is applied to the real time Pressure Tank process control system successfully.

  • Response Surface Tuning Methods in Dynamic Matrix Control of a Pressure Tank System
    Industrial & Engineering Chemistry Research, 2000
    Co-Authors: Aiping Jiang, Arthur Jutan
    Abstract:

    Dynamic matrix control (DMC) is implemented on a nonlinear, multivariable, experimental Pressure Tank. Linearized models for the Pressure Tank are identified using subspace methods, which prove to be suitable over a limited operating range. When the DMC algorithm is implemented, some tuning/design parameters are easy to select but others require trial and error. Here, a novel approach to the selection of these other parameters using response surface methodology is used. Finally, the DMC algorithm is implemented on-line and leads to good control.

Zhong-xiang Zhu - One of the best experts on this subject based on the ideXlab platform.