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  • Open Access

    ARTICLE

    Expert System for Stable Power Generation Prediction in Microbial Fuel Cell

    Kathiravan Srinivasan1, Lalit Garg2,*, Bor-Yann Chen3, Abdulellah A. Alaboudi4, N. Z. Jhanjhi5, Chang-Tang Chang6, B. Prabadevi1, N. Deepa1

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 17-30, 2021, DOI:10.32604/iasc.2021.018380 - 26 July 2021

    Abstract Expert Systems are interactive and reliable computer-based decision-making systems that use both facts and heuristics for solving complex decision-making problems. Generally, the cyclic voltammetry (CV) experiments are executed a random number of times (cycles) to get a stable production of power. However, presently there are not many algorithms or models for predicting the power generation stable criteria in microbial fuel cells. For stability analysis of Medicinal herbs’ CV profiles, an expert system driven by the augmented K-means clustering algorithm is proposed. Our approach requires a dataset that contains voltage-current relationships from CV experiments on the 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

    Operation Strategy Analysis and Configuration Optimization of Solar CCHP System

    Duojin Fan1, Chengji Shi2, Kai Sun2, Xiaojuan Lu2,*

    Energy Engineering, Vol.118, No.4, pp. 1197-1221, 2021, DOI:10.32604/EE.2021.014532 - 31 May 2021

    Abstract This paper proposed a new type of combined cooling heating and power (CCHP) system, including the parabolic trough solar thermal (PTST) power generation and gas turbine power generation. The thermal energy storage subsystem in the PTST unit provides both thermal energy and electrical energy. Based on the life cycle method, the configuration optimization under eight operation strategies is studied with the economy, energy, and environment indicators. The eight operation strategies include FEL, FEL-EC, FEL-TES, FEL-TES&EC, FTL, FTL-EC, FTL-TES, and FTL-TES&EC. The feasibility of each strategy is verified by taking a residential building cluster as an… More >

  • Open Access

    ARTICLE

    Analysis of Electromagnetic Performance of Modulated Coaxial Magnetic Gears Used in Semi-Direct Drive Wind Turbines

    Jungang Wang1,*, Liqun Qian1, Shuairui Xu1, Ruina Mo2

    Energy Engineering, Vol.118, No.2, pp. 251-264, 2021, DOI:10.32604/EE.2021.014143 - 23 December 2020

    Abstract Wind turbine is a key device to realize the utilization of wind energy, and it has been highly valued by all countries. But the mechanical gear transmission of the existing wind power device has the disadvantages of high vibration and noise, high failure rate, and short service time. Magnetic field modulation electromagnetic gear transmission is a new non-contact transmission method. However, the conventional modulation magnetic gear has low torque density and torque defects with large fluctuations. In order to overcome the gear transmission problems of the existing semi-direct drive wind power generation machinery and improve… More >

  • Open Access

    ARTICLE

    Accurate Study and Evaluation of Small PV Power Generation System Based on Specific Geographical Location

    Lian Zhang1,2,3,5,*, Zijian Chen2, Heng Zhang3, Zenghong Ma4, Baowen Cao1, Lihong Song5

    Energy Engineering, Vol.117, No.6, pp. 453-470, 2020, DOI:10.32604/EE.2020.013276 - 16 October 2020

    Abstract As an important new energy, solar energy has been extensively used in the world and different types of solar energy systems have been used in different fields. The photovoltaic power generation system has obvious advantage and high stability compared with other energy systems. Furthermore, the small-scale photovoltaic power generation system has a wider application in the field of power generation due to the performance of high efficiency. In this paper, the optimization research and system evaluation of small-scale photovoltaic power system have been studied in different areas by simulation and experimental methods. Based on the… More >

  • Open Access

    ARTICLE

    Study of Solar Thermal Power Generation Based on Reverse Electrodialysis

    Jianjun He*, Ruifeng Wang, Yefeng Yin, Jian Chen, Chaoran Guo

    Energy Engineering, Vol.117, No.4, pp. 185-193, 2020, DOI:10.32604/EE.2020.011181 - 31 July 2020

    Abstract TPG-RED (Thermal Power Generation Based on Reverse Electrodialysis) was studied to explore the new method of solar thermal power generating based on Reverse Electrodialysis (RED) in this paper. RED is a process that transfers the salinity gradient between sea water and fresh water to electricity. TPGRED has combined RED with thermal power generation to transfer thermal energy from solar to electricity which has many advantages of huge available temperature range, sustainability, non-pollution, simple structure, and so on. Respectively, using “1 mol/L H2SO4 solution—0.0001 mol/L H2SO4 solution” and “1 mol/L Na2SO4 solution—0.0001 mol/L Na2SO4 solution” as the working… More >

  • Open Access

    ARTICLE

    Grey Wolf Optimizer to Real Power Dispatch with Non-Linear Constraints

    G. R. Venkatakrishnan1,*, R. Rengaraj2, S. Salivahanan3

    CMES-Computer Modeling in Engineering & Sciences, Vol.115, No.1, pp. 25-45, 2018, DOI:10.3970/cmes.2018.115.025

    Abstract A new and efficient Grey Wolf Optimization (GWO) algorithm is implemented to solve real power economic dispatch (RPED) problems in this paper. The nonlinear RPED problem is one the most important and fundamental optimization problem which reduces the total cost in generating real power without violating the constraints. Conventional methods can solve the ELD problem with good solution quality with assumptions assigned to fuel cost curves without which these methods lead to suboptimal or infeasible solutions. The behavior of grey wolves which is mimicked in the GWO algorithm are leadership hierarchy and hunting mechanism. The More >

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