Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (6)
  • Open Access

    ARTICLE

    Deep-Ensemble Learning Method for Solar Resource Assessment of Complex Terrain Landscapes

    Lifeng Li1, Zaimin Yang1, Xiongping Yang1, Jiaming Li2, Qianyufan Zhou3,*, Ping Yang3

    Energy Engineering, Vol.121, No.5, pp. 1329-1346, 2024, DOI:10.32604/ee.2023.046447 - 30 April 2024

    Abstract As the global demand for renewable energy grows, solar energy is gaining attention as a clean, sustainable energy source. Accurate assessment of solar energy resources is crucial for the siting and design of photovoltaic power plants. This study proposes an integrated deep learning-based photovoltaic resource assessment method. Ensemble learning and deep learning methods are fused for photovoltaic resource assessment for the first time. The proposed method combines the random forest, gated recurrent unit, and long short-term memory to effectively improve the accuracy and reliability of photovoltaic resource assessment. The proposed method has strong adaptability and More >

  • Open Access

    ARTICLE

    Research on Representative Engineering Applications of Anemometer Towers Location in Complex Topography Wind Resource Assessment

    Hao Liu1, Xiaoyang Zhang1, Zhongjie Yan1,*, Yingjian Yang2,3, Qing’an Li3,4,5, Chang Cai3,4

    Energy Engineering, Vol.120, No.1, pp. 163-179, 2023, DOI:10.32604/ee.2022.019927 - 27 October 2022

    Abstract The typical location and number of anemometer towers in the assessed area are the key to the accuracy of wind resource assessment in complex topography. As calculation examples, this paper used two typical complex topography wind farms in Guangxi, Yunnan province in China. Firstly, we simulated the wind resource status of the anemometer tower in the Meteodyn WT software. Secondly, we compared the simulated wind resource with the actual measured data by the anemometer tower in the same situation. Thirdly, we analyzed the influence of anemometer tower location and quantity in the accuracy of wind… More >

  • Open Access

    ARTICLE

    Wind Energy Data Analysis and Resource Mapping of Dangla, Gojjam, Ethiopia

    Belayneh Yitayew1,*, Wondwossen Bogale2

    Energy Engineering, Vol.119, No.6, pp. 2513-2532, 2022, DOI:10.32604/ee.2022.018961 - 14 September 2022

    Abstract Energy is one of the most important factors in socio-economic development. The rapid increase in energy demand and air pollution has increased the number of ways to generate energy in the power sector. Currently, wind energy capacity in Ethiopia is estimated at 10,000 MW. Of these, however, only eight percent of its capacity has been used in recent years. One of the reasons for the low use of wind energy is the lack of accurate wind atlases in the country. Therefore, the purpose of this study is to develop an accurate wind atlas and review… More >

  • Open Access

    ARTICLE

    Review of Nodule Mineral Image Segmentation Algorithms for Deep-Sea Mineral Resource Assessment

    Wei Song1,2,3, Lihui Dong1, Xiaobing Zhao1,3, Jianxin Xia4,*, Tongmu Liu5, Yuxi Shi6

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1649-1669, 2022, DOI:10.32604/cmc.2022.027214 - 18 May 2022

    Abstract A large number of nodule minerals exist in the deep sea. Based on the factors of difficulty in shooting, high economic cost and high accuracy of resource assessment, large-scale planned commercial mining has not yet been conducted. Only experimental mining has been carried out in areas with high mineral density and obvious benefits after mineral resource assessment. As an efficient method for deep-sea mineral resource assessment, the deep towing system is equipped with a visual system for mineral resource analysis using collected images and videos, which has become a key component of resource assessment. Therefore,… More >

  • Open Access

    ARTICLE

    Resource Assessment of Wind Energy Potential of Mokha in Yemen with Weibull Speed

    Abdulbaset El-Bshah1, Fahd N. Al-Wesabi2,3,*, Ameen M. Al-Kustoban4, Mohammad Alamgeer5, Nadhem Nemri5, Majdy M. Eltahir5, Hany Mahgoub6, Noha Negm7

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1123-1140, 2021, DOI:10.32604/cmc.2021.018427 - 04 June 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 other Arabic countries, and the absence of similar studies in the region. This study aims to examine the potential of wind energy in Mokha region. 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 few wind turbines and determining the best. Weibull speed was… More >

  • Open Access

    ARTICLE

    Wind Power Revenue Potential: Simulation for Finland

    Sakarias Paaso*, Ali Khosravi

    Energy Engineering, Vol.118, No.4, pp. 1111-1133, 2021, DOI:10.32604/EE.2021.014949 - 31 May 2021

    Abstract Potential revenue from wind power generation is an important factor to be considered when planning a wind power investment. In the future, that may become even more important because it is known that wind power generation tends to push electricity wholesale prices lower. Consequently, it is possible that if a region has plenty of installed wind power capacity, revenue per generated unit of electricity is lower there than could be assumed by looking at the mean electricity wholesale price. In this paper, we compare 17 different locations in Finland in terms of revenue from wind More >

Displaying 1-10 on page 1 of 6. Per Page