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  • Open Access

    ARTICLE

    Extraction of Strain Characteristic Signals from Wind Turbine Blades Based on EEMD-WT

    Jin Wang1, Zhen Liu1,*, Ying Wang1, Caifeng Wen2,3, Jianwen Wang2,3

    Energy Engineering, Vol.120, No.5, pp. 1149-1162, 2023, DOI:10.32604/ee.2023.025209 - 20 February 2023

    Abstract Analyzing the strain signal of wind turbine blade is the key to studying the load of wind turbine blade, so as to ensure the safe and stable operation of wind turbine in natural environment. The strain signal of the wind turbine blade under continuous crosswind state has typical non-stationary and unsteady characteristics. The strain signal contains a lot of noise, which makes the analysis error. Therefore, it is very important to denoise and extract features of measured signals before signal analysis. In this paper, the joint algorithm of ensemble empirical mode decomposition (EEMD) and wavelet… More >

  • Open Access

    ARTICLE

    Blockchain-Based Power Transaction Method for Active Distribution Network

    Fei Zeng1, Zhinong Wei1, Haiteng Han1,*, Yang Chen2

    Energy Engineering, Vol.120, No.5, pp. 1067-1080, 2023, DOI:10.32604/ee.2023.022479 - 20 February 2023

    Abstract A blockchain-based power transaction method is proposed for Active Distribution Network (ADN), considering the poor security and high cost of a centralized power trading system. Firstly, the decentralized blockchain structure of the ADN power transaction is built and the transaction information is kept in blocks. Secondly, considering the transaction needs between users and power suppliers in ADN, an energy request mechanism is proposed, and the optimization objective function is designed by integrating cost aware requests and storage aware requests. Finally, the particle swarm optimization algorithm is used for multi-objective optimal search to find the power More >

  • Open Access

    ARTICLE

    Research on Multi-Objective Optimization Model of Industrial Microgrid Considering Demand Response Technology and User Satisfaction

    Junhui Li1,*, Jinxin Zhong1, Kailiang Wang1, Yu Luo1, Qian Han2, Jieren Tan2

    Energy Engineering, Vol.120, No.4, pp. 869-884, 2023, DOI:10.32604/ee.2023.021320 - 13 February 2023

    Abstract In the process of wind power, coal power, and energy storage equipment participating in the operation of industrial microgrids, the stable operation of wind-storage industrial microgrids is guaranteed by considering demand response technology and user satisfaction. This paper firstly sorts out the status quo of microgrid operation optimization, and determines the main requirements for user satisfaction considering three types of load characteristics, demand response technology, power consumption benefit loss, user balance power purchase price and wind power consumption evaluation indicators in the system. Secondly, the operation architecture of the windstorage industrial microgrid is designed, and… More >

  • Open Access

    ARTICLE

    Identification of Type of a Fault in Distribution System Using Shallow Neural Network with Distributed Generation

    Saurabh Awasthi*, Gagan Singh, Nafees Ahamad

    Energy Engineering, Vol.120, No.4, pp. 811-829, 2023, DOI:10.32604/ee.2023.026863 - 13 February 2023

    Abstract A distributed generation system (DG) has several benefits over a traditional centralized power system. However, the protection area in the case of the distributed generator requires special attention as it encounters stability loss, failure re-closure, fluctuations in voltage, etc. And thereby, it demands immediate attention in identifying the location & type of a fault without delay especially when occurred in a small, distributed generation system, as it would adversely affect the overall system and its operation. In the past, several methods were proposed for classification and localisation of a fault in a distributed generation system.… More >

  • Open Access

    ARTICLE

    Modelling and Optimization of Clean and Affordable Electricity Solution for Small-Scale Savings and Credit Cooperatives (SACCOs)

    Xiaomei Lin1, Samuel Bimenyimana2,*, Chen Wang2, Godwin Norense Osarumwensa Asemota3,4, Jeanne Paula Ihirwe5, Aphrodis Nduwamungu3, Etienne Ntagwirumugara6, Athanase Gace6, Changfu Yuan7, Yaowen Chen7, Changtai Li8, Shilpi Bora9, YiYi Mo10, Jiyu Lai11, Mabao Wu7, Yong Tang12, Merit M. Huang13

    Energy Engineering, Vol.120, No.4, pp. 791-810, 2023, DOI:10.32604/ee.2023.026746 - 13 February 2023

    Abstract Renewable energy exploitation is among the development strategies set by the government of Rwanda on the roadmap to 2023/2024 universal electricity access and the United Nations plans by 2030. Numerous previous studies on clean energy technologies in Rwanda have mostly focused on households’ usage but there are currently no studies describing the feasibility of clean energy technologies for financial institutions. The skepticism on renewable energy in Africa was previously reported by some personnel. Having realized that most SACCOs (Savings and Credit Co-Operatives) in Rwanda use diesel technology for backup/emergency electricity supply, taking consideration of abundant… More >

  • Open Access

    ARTICLE

    PV Solar Yield Applicable Simulator Based on Free Irradiance Data Source: Applied Comprehensive Tool for Solar Engineers

    Ahmed Mohamed Ragab1,*, Abdelhalim Abdelnaby Zekry2, Ashraf Yahia Hassan1

    Energy Engineering, Vol.120, No.4, pp. 885-910, 2023, DOI:10.32604/ee.2023.026425 - 13 February 2023

    Abstract Accurate PV system simulators are implemented with expensive software platforms using paid irradiance data. The main purpose of this paper is to develop and validate a PV system simulator, beginning with a solar cell parameter extraction model, then test and validate long-term Irradiance data using free online source (Typical Meteorological Year TMY in (PVGIS) European website), and finally building full solar generator simulator to run in working real conditions. Comparing results with Accurate Paid PV simulators (which use the Muneer model) showed good accuracy of the proposed simulator. Work flow starts with the Irradiance model’s… More >

  • Open Access

    ARTICLE

    Improving Performance of Recurrent Neural Networks Using Simulated Annealing for Vertical Wind Speed Estimation

    Shafiqur Rehman1,*, Hilal H. Nuha2, Ali Al Shaikhi3, Satria Akbar2, Mohamed Mohandes1,3

    Energy Engineering, Vol.120, No.4, pp. 775-789, 2023, DOI:10.32604/ee.2023.026185 - 13 February 2023

    Abstract An accurate vertical wind speed (WS) data estimation is required to determine the potential for wind farm installation. In general, the vertical extrapolation of WS at different heights must consider different parameters from different locations, such as wind shear coefficient, roughness length, and atmospheric conditions. The novelty presented in this article is the introduction of two steps optimization for the Recurrent Neural Networks (RNN) model to estimate WS at different heights using measurements from lower heights. The first optimization of the RNN is performed to minimize a differentiable cost function, namely, mean squared error (MSE),… More >

  • Open Access

    ARTICLE

    Feasibility Analysis of Typical Cryogenic Processes for Hydrogen-Mixed Natural Gas Separation

    Tingxia Ma1, Longyao Zhang1, Lin Wang1,*, Jinqiang Wu2, Wenying Hui2, Cheng Yu3

    Energy Engineering, Vol.120, No.4, pp. 911-930, 2023, DOI:10.32604/ee.2023.026002 - 13 February 2023

    Abstract Hydrogen energy is a crucial carrier for the growth of the energy system and its low-carbon transformation. Using natural gas as a carrier of hydrogen transport and the natural gas pipeline network for transportation is a significant step toward realizing large-scale and long-distance hydrogen transport. Hydrogen-mixed natural gas is mainly separated into hydrogen and natural gas by physical methods at present. High purity of hydrogen recovery, but the recovery rate is low. At the same time, compared with natural gas, liquefied natural gas is more economical and flexible. This study analyzes three typical cryogenic separation… More >

  • Open Access

    ARTICLE

    Optimal Configuration Method for the Installed Capacity of the Solar-Thermal Power Stations

    Yan Wang1, Zhicheng Ma2, Jinping Zhang2, Qiang Zhou2, Ruiping Zhang1, Haiying Dong1,*

    Energy Engineering, Vol.120, No.4, pp. 949-963, 2023, DOI:10.32604/ee.2023.025668 - 13 February 2023

    Abstract Because of the randomness of wind power and photovoltaic (PV) output of new energy bases, the problem of peak regulation capability and voltage stability of ultra-high voltage direct current (UHVDC) transmission lines, we proposed an optimum allocation method of installed capacity of the solar-thermal power station based on chance constrained programming in this work. Firstly, we established the uncertainty model of wind power and PV based on the chance constrained planning theory. Then we used the K-medoids clustering method to cluster the scenarios considering the actual operation scenarios throughout the year. Secondly, we established the… More >

  • Open Access

    ARTICLE

    Research on AC Electronic Load with Energy Recovery Based on Finite Control Set Model Predictive Control

    Jian Wang1, Jianzhong Zhu1,2, Xueyu Dong1,*, Chenxi Liu1, Jiazheng Shen1

    Energy Engineering, Vol.120, No.4, pp. 965-984, 2023, DOI:10.32604/ee.2023.025490 - 13 February 2023

    Abstract Nowadays, AC electronic loads with energy recovery are widely used in the testing of uninterruptible power supplies and power supply equipment. To tackle the problems of control difficulty, strategy complexity, and poor dynamic performance of AC electronic load with energy recovery of the conventional control strategy, a control strategy of AC electronic load with energy recovery based on Finite Control Set Model Predictive Control (FCS-MPC) is developed. To further reduce the computation burden of the FCS-MPC, a simplified FCS-MPC with transforming the predicted variables and using sector to select expected state is proposed. Through simplified More >

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