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  • Open Access

    ARTICLE

    An Efficient Method for Heat Recovery Process and Temperature Optimization

    Basim Kareem Naser1, Mohammed Dauwed2,*, Ahmed Alkhayyat3, Mustafa Musa Jaber4,5, Shahad Alyousif6,7, Mohammed Hasan Ali8

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1017-1031, 2023, DOI:10.32604/cmc.2023.033957 - 06 February 2023

    Abstract Flue gas heat loss accounts for a significant component of the overall heat loss for coal-fired boilers in power plants. The flue gas absorbs more heat as the exhaust gas temperature rises, which reduces boiler efficiency and raises coal consumption. Additionally, if the exhaust gas temperature is too high, a lot of water must be used to cool the flue gas for the wet flue gas desulfurization system to function well, which has an impact on the power plant’s ability to operate profitably. It is consequently vital to take steps to lower exhaust gas temperatures… More >

  • Open Access

    ARTICLE

    Temperature Control Design with Differential Evolution Based Improved Adaptive-Fuzzy-PID Techniques

    Prabhu Kaliappan1,*, Aravindaguru Ilangovan2, Sivachitra Muthusamy3, Banumathi Sembanan4

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 781-801, 2023, DOI:10.32604/iasc.2023.030047 - 29 September 2022

    Abstract This paper presents the design and performance analysis of Differential Evolution (DE) algorithm based Proportional-Integral-Derivative (PID) controller for temperature control of Continuous Stirred Tank Reactor (CSTR) plant in chemical industries. The proposed work deals about the design of Differential Evolution (DE) algorithm in order to improve the performance of CSTR. In this, the process is controlled by controlling the temperature of the liquid through manipulation of the coolant flow rate with the help of modified Model Reference Adaptive Controller (MRAC). The transient response of temperature process is improved by using PID Controller, Differential Evolution Algorithm More >

  • Open Access

    ARTICLE

    Application of Model Predictive Control Based on Kalman Filter in Solar Collector Field of Solar Thermal Power Generation

    Xiaojuan Lu, Zeping Liang*

    Energy Engineering, Vol.118, No.4, pp. 1171-1183, 2021, DOI:10.32604/EE.2021.014724 - 31 May 2021

    Abstract There are two prominent features in the process of temperature control in solar collector field. Firstly, the dynamic model of solar collector field is nonlinear and complex, which needs to be simplified. Secondly, there are a lot of random and uncontrollable, measurable and unmeasurable disturbances in solar collector field. This paper uses Taylor formula and difference approximation method to design a dynamic matrix predictive control (DMC) by linearizing and discretizing the dynamic model of the solar collector field. In addition, the purpose of controlling the stability of the outlet solar field salt temperature is achieved More >

  • Open Access

    ARTICLE

    Stability Analysis of Network Controlled Temperature Control System with Additive Delays

    V. Venkatachalam1, *, D. Prabhakaran1

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.3, pp. 321-334, 2018, DOI:10.3970/cmes.2018.114.321

    Abstract This paper presents, using Lyapunov-Krasovskii functional technique combined with reciprocal convex lemma is considered for a networked control temperature control system with additive time-varying-delays. In the stability analysis, a new LK functional is assumed, and take the time-derivative of the (LK) functional, using reciprocal convex combination technique was employed to obtain less conservative stability criteria. Finally, the proposed stability analysis culminates into a stability criterion in the LMI (linear matrix inequalities) framework. The results obtained are in accordance with the theoretically obtained in the temperature control system and they are closer to the standard benchmark More >

  • Open Access

    ARTICLE

    Modeling and Control Strategy of Built-in Skin Effect Electric Tracing System

    Li Ding1, Jiasheng Zhang,1,2, Hongchang Sun3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.2, pp. 213-229, 2018, DOI:10.31614/cmes.2018.03981

    Abstract In order to ensure the safety of fluid flow in deep-water submarine pipelines, a safe and energy-saving built-in skin effect electric heat tracing technology was adopted as the thermal management strategy. The magnetic field distribution of built-in skin effect heating system is analyzed based on the mechanism of built-in skin effect heating system, so as to obtain the equivalent circuit model of built-in skin effect electric heating system. Meanwhile, heating power is introduced as an intermediate variable to establish the relationship between power supply frequency and built-in skin effect heating temperature. Aiming at the skin… More >

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