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  • Open Access

    ARTICLE

    Analysis and Assessment of Wind Energy Potential of Almukalla in Yemen

    Murad A. A. Almekhlafi1, Fahd N. Al-Wesabi2,3, Majdy M. Eltahir4, Anwer Mustafa Hilal5, Amin M. El-Kustaban6, Abdelwahed Motwakel5, Ishfaq Yaseen5, Manar Ahmed Hamza5,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3113-3129, 2022, DOI:10.32604/cmc.2022.024355 - 29 March 2022

    Abstract Energy is an essential element for any civilized country's social and economic development, but the use of fossil fuels and nonrenewable energy forms has many negative impacts on the environment and the ecosystem. The Republic of Yemen has very good potential to use renewable energy. Unfortunately, we find few studies on renewable wind energy in Yemen. Given the lack of a similar analysis for the coastal city, this research newly investigates wind energy's potential near the Almukalla area by analyzing wind characteristics. Thus, evaluation, model identification, determination of available energy density, computing the capacity factors… More >

  • Open Access

    ARTICLE

    Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics

    Noman Shabbir1, Lauri Kütt1, Muhammad Jawad2, Oleksandr Husev1, Ateeq Ur Rehman3, Akber Abid Gardezi4, Muhammad Shafiq5, Jin-Ghoo Choi5,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1017-1033, 2022, DOI:10.32604/cmc.2022.024576 - 24 February 2022

    Abstract Wind energy is featured by instability due to a number of factors, such as weather, season, time of the day, climatic area and so on. Furthermore, instability in the generation of wind energy brings new challenges to electric power grids, such as reliability, flexibility, and power quality. This transition requires a plethora of advanced techniques for accurate forecasting of wind energy. In this context, wind energy forecasting is closely tied to machine learning (ML) and deep learning (DL) as emerging technologies to create an intelligent energy management paradigm. This article attempts to address the short-term… More >

  • Open Access

    ARTICLE

    Integration of Renewable Energy Sources into the Smart Grid Using Enhanced SCA

    Shaik Karimulla, K. Ravi*

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1557-1572, 2022, DOI:10.32604/iasc.2022.022953 - 09 December 2021

    Abstract The usage of energy in everyday life is growing day by day as a result of the rapid growth in the human population. One solution is to increase electricity generation to the same extent as the human population, but this is usually practically impossible. As the population is increasing, the need for electrical usage is also increasing. Therefore, smart grids play an important role in making efficient use of existing energy sources like solar, wind and battery storage systems. By managing demand, the minimization of power consumption and its consequent costs. On the load side,… More >

  • Open Access

    ARTICLE

    OBSO Based Fractional PID for MPPT-Pitch Control of Wind Turbine Systems

    Ibrahim M. Mehedi1,2,*, Ubaid M. Al-Saggaf1,2, Mahendiran T. Vellingiri1, Ahmad H. Milyani1, Nordin Bin Saad3, Nor Zaihar Bin Yahaya3

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4001-4017, 2022, DOI:10.32604/cmc.2022.021981 - 07 December 2021

    Abstract In recent times, wind energy receives maximum attention and has become a significant green energy source globally. The wind turbine (WT) entered into several domains such as power electronics that are employed to assist the connection process of a wind energy system and grid. The turbulent characteristics of wind profile along with uncertainty in the design of WT make it highly challenging for prolific power extraction. The pitch control angle is employed to effectively operate the WT at the above nominal wind speed. Besides, the pitch controller needs to be intelligent for the extraction of… More >

  • Open Access

    ARTICLE

    Enhanced Atom Search Optimization Based Optimal Control Parameter Tunning of PMSG for MPPT

    Xin He1, Ping Wei2, Xiaoyan Gong1, Xiangfei Meng3, Dong Shan4, Jiawei Zhu5,*

    Energy Engineering, Vol.119, No.1, pp. 145-161, 2022, DOI:10.32604/EE.2022.015910 - 22 November 2021

    Abstract For the past few years, wind energy is the most popular non-traditional resource among renewable energy resources and it’s significant to make full use of wind energy to realize a high level of generating power. Moreover, diverse maximum power point tracking (MPPT) methods have been designed for varying speed operation of wind energy conversion system (WECS) applications to obtain optimal power extraction. Hence, a novel and meta-heuristic technique, named enhanced atom search optimization (EASO), is designed for a permanent magnet synchronous generator (PMSG) based WECS, which can be employed to track the maximum power point.… More >

  • Open Access

    ARTICLE

    Analysis and Assessment of Wind Energy Potential of Socotra Archipelago in Yemen

    Murad A. A. Almekhlaf1, Fahd N. Al-Wesabi2,3,*, Imran Khan4, Nadhem Nemri5, Khalid Mahmood5, Hany Mahgoub6, Noha Negm7, Amin M. El-Kustaban8, Ammar Zahary9

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1177-1193, 2022, DOI:10.32604/cmc.2022.019626 - 07 September 2021

    Abstract The increasing use of fossil fuels has a significant impact on the environment and ecosystem, which increases the rate of pollution. Given the high potential of renewable energy sources in Yemen and the absence of similar studies in the region, this study aims to examine the potential of wind energy in Socotra Island. This was done by analyzing and evaluating wind properties, determining available energy density, calculating wind energy extracted at different altitudes, and then computing the capacity factor for a number of wind turbines and determining the best. The average wind speed in Socotra… More >

  • Open Access

    ARTICLE

    Optimal Configuration of an Off-Grid Hybrid Wind-Hydrogen Energy System: Comparison of Two Systems

    Zekun Wang1,2,4, Yan Jia1,2,3,*, Yingjian Yang1, Chang Cai4,5, Yinpeng Chen1

    Energy Engineering, Vol.118, No.6, pp. 1641-1658, 2021, DOI:10.32604/EE.2021.017464 - 10 September 2021

    Abstract Due to the uncertainty of renewable energy power generation and the non-linearity of load demand, it becomes complicated to determine the capacity of each device in hybrid renewable energy power generation systems. This work aims to optimize the capacity of two types of the off-grid hybrid wind-hydrogen energy system. We considered the maximum profit of the system and the minimum loss of power supply probability as optimization goals. Firstly, we established steady-state models of the wind turbine, alkaline electrolyzer, lead-acid battery, and proton exchange membrane fuel cell in matrix laboratory software to optimize the capacity.… More >

  • Open Access

    REVIEW

    Review on Wind Power Development and Relevant Policies between China and Japan

    Lei Wang1, Zekun Wang2,3,4,*, Yingjian Yang2, Shuni Zhou5, Yehong Dong5, Fanghong Zhang5

    Energy Engineering, Vol.118, No.6, pp. 1611-1626, 2021, DOI:10.32604/EE.2021.016010 - 10 September 2021

    Abstract China has abundant wind energy resources and huge development potential among developing countries. Japan is a developed country that planned to increase the use of renewable energy, especially wind energy. This research is aimed at reviewing the development of wind power and relevant policies between China and Japan. Firstly, we introduced the current status of global wind power development, such as the global installed capacity of wind power. The annual development of wind power generation in China and Japan is compared, and the distribution characteristics of wind resources are compared. Furthermore, the market share in More >

  • Open Access

    ARTICLE

    Evaluation and Forecasting of Wind Energy Investment Risk along the Belt and Road Based on a Novel Hybrid Intelligent Model

    Liping Yan1,*, Wei-Chiang Hong2

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 1069-1102, 2021, DOI:10.32604/cmes.2021.016499 - 11 August 2021

    Abstract The timely and effective investment risk assessment and forecasting are of great significance to ensure the investment safety and sustainable development of wind energy along the Belt and Road. In order to obtain the scientific and real-time forecasting result, this paper constructs a novel hybrid intelligent model based on improved cloud model combined with GRA-TOPSIS and MBA-WLSSVM. Firstly, the factors influencing investment risk of wind energy along the Belt and Road are identified from three dimensions: endogenous risk, exogenous risk and process risk. Through the fuzzy threshold method, the final input index system is selected.… More >

  • Open Access

    ARTICLE

    Analysis and Assessment of Wind Energy Potential of Al-Hodeidah in Yemen

    Fahd N. Al-Wesabi1,2,*, Murad A. Almekhlafi3, Mohammed Abdullah Al-Hagery4, Mohammad Alamgeer5, Khalid Mahmood5, Majdy M. Eltahir5, Ali M. Al-Sharafi2,6, Amin M. El-Kustaban7

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1995-2011, 2021, DOI:10.32604/cmc.2021.018644 - 21 July 2021

    Abstract Renewable energy is one of the essential elements of the social and economic development in any civilized country. The use of fossil fuels and the non-renewable form of energy has many adverse effects on the most of ecosystems. Given the high potential of renewable energy sources in Yemen and the absence of similar studies in the region, this study aimed to examine the wind energy potential of Hodeidah-Yemen Republic by analyzing wind characteristics and assessment, determining the available power density, and calculate the wind energy extracted at different heights. The average wind speed of Hodeidah… More >

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