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A framework for evaluating energy security in China: Empirical analysis of forecasting and assessment based on energy consumption

机译:评估中国能源安全的框架:基于能耗的预测和评估实证分析

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To safeguard energy security and achieve sustainable development in the future, China's decision makers are focusing on the identification and assessment of energy security risks. In this study, we proposed a framework that combines the grey model and risk assessment model systematically to forecast and evaluate the energy security in China. Empirical results show that the curve of China's coal consumption would be a decreasing tendency within 2020-2029, however, other energy consumption would have an increasing trend in the future. Although the increase of China's oil products consumption from 2020 to 2029 is found as 142.76 million tons of equivalent, the curve of the data increases at a diminishing rate. Also, the risks of China's energy security in 2018 and 2022 are 'moderate' and 'light', respectively. According to the empirical results, we develop a hybrid system for energy storage based on the large-scale batteries to improve the efficiency of comprehensive utilization for renewable and clean energy. Research results also illustrate that the hybrid system of energy storage with large-scale batteries, involving the iron-based aqueous redox flow batteries (IBA-RFBs) and the compressed air energy storage (CAES), can not only improve the efficiency of energy storage, but also create more added value. (c) 2021 Elsevier Ltd. All rights reserved.
机译:为了保护能源安全并在未来实现可持续发展,中国的决策者专注于识别和评估能源安全风险。在这项研究中,我们提出了一个框架,该框架将灰色模型和风险评估模型系统地结合起来,以预测中国的能源安全。实证结果表明,中国煤炭消费的曲线将在2020-2029内的趋势下降,然而,其他能源消费将来会有日益增长的趋势。虽然中国的石油产品的增加从2020年到2029年的消费量被发现为142.76亿吨等价物,但数据的曲线以递减速度增加。此外,2018年和2022年中国能源安全的风险分别为“中等”和“光”。根据经验结果,我们基于大型电池开发一个用于储能的混合系统,以提高可再生和清洁能源的综合利用效率。研究结果还说明,具有大规模电池的储能储存混合系统,涉及铁基水性氧化还原电池(IBA-RFB)和压缩空气储能(CAES),不仅可以提高能量存储的效率,还创建更多附加值。 (c)2021 elestvier有限公司保留所有权利。

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